(19)
(11)EP 3 739 780 A1

(12)EUROPEAN PATENT APPLICATION
published in accordance with Art. 153(4) EPC

(43)Date of publication:
18.11.2020 Bulletin 2020/47

(21)Application number: 19750956.5

(22)Date of filing:  12.02.2019
(51)International Patent Classification (IPC): 
H04L 1/00(2006.01)
H04W 72/04(2009.01)
(86)International application number:
PCT/CN2019/074813
(87)International publication number:
WO 2019/154422 (15.08.2019 Gazette  2019/33)
(84)Designated Contracting States:
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated Extension States:
BA ME
Designated Validation States:
KH MA MD TN

(30)Priority: 12.02.2018 CN 201810147596

(71)Applicant: ZTE Corporation
Shenzhen, Guangdong 518057 (CN)

(72)Inventors:
  • LI, Liguang
    Shenzhen, Guangdong 518057 (CN)
  • XU, Jun
    Shenzhen, Guangdong 518057 (CN)
  • ZUO, Zhisong
    Shenzhen, Guangdong 518057 (CN)
  • WU, Hao
    Shenzhen, Guangdong 518057 (CN)
  • XIN, Yu
    Shenzhen, Guangdong 518057 (CN)
  • BIAN, Luanjian
    Shenzhen, Guangdong 518057 (CN)
  • XU, Jin
    Shenzhen, Guangdong 518057 (CN)

(74)Representative: Vossius & Partner Patentanwälte Rechtsanwälte mbB 
Siebertstrasse 3
81675 München
81675 München (DE)

  


(54)DATA COMMUNICATION PROCESSING METHOD AND DEVICE


(57) Provided are a data communication processing method and device. The method includes: acquiring a modulation order and a target code rate; calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info ; determining a transport block size (TBS) according to the quantized intermediate number N'info.




Description


[0001] The present disclosure claims priority to Chinese patent application No. 201810147596.6 filed at the CNIPA on February 12, 18, disclosure of which is incorporated herein by reference in its entirety.

TECHNICAL FIELD



[0002] The present disclosure relates to the field of communications, for example, to a data communication processing method and device.

BACKGROUND



[0003] In a mobile communication system, due to the time-varying characteristic of a wireless fading channel, a lot of uncertainties exist in the communication process. On one hand, to improve a system throughput, high-order modulation with a higher transmission rate and error correction codes having a less redundancy are used for communication. In this way, the system throughput has been greatly improved when the signal-to-noise ratio of the wireless fading channel is ideal, but when the channel is in deep fading, it cannot ensure that the communication is reliable and stable. On the other hand, in order to ensure the reliability of the communication, low-order modulation with a lower transmission rate and error correction codes having a large redundancy are used for communication. That is, when the wireless channel is in deep fading, a reliable communication is performed. However, when the channel has a high signal-to-noise ratio, due to a relative low transmission rate, the improvement to the system throughput is restricted.

[0004] In a long term evolution (LTE) system, in order to achieve the adaptive modulation coding technology, uplink transmission control information mainly includes control signaling such as channel state information (CSI). The CSI includes a channel quality indication (CQI), a pre-coding matrix indication (PMI) and a rank indicator (RI). The CSI reflects a downlink physical channel state. The base station uses the CSI for downlink scheduling and data encoding and modulation. The CSI feedback may be fedback periodically or non-periodically.

[0005] CQI is an indicator for measuring quality of a downlink channel. In a 3GPP TS 36.213 protocol, the CQI is represented by an integer value from 0 to 15, which represent different CQI levels respectively. The CQI levels selected by a user equipment (UE) should ensure that a block error ratio (BLER, which is also called block error probability) of a transport block (TB) of a physical downlink shared channel (PDSCH) or a physical uplink shared channel (PUSCH) corresponding to the CQI under a corresponding modulation and coding scheme (MCS) does not exceed 0.1.

[0006] The CQI table generally includes quadrature amplitude modulation (QAM), and quadrature phase shift keying (QPSK) is a digital modulation method, where a modulation order corresponding to the modulation method of QPSK is 2, a modulation order corresponding to 16QAM is 4, a modulation order corresponding to 64QAM is 6, and a modulation order corresponding to 256QAM is 8.

[0007] In the LTE, except differential CQI, the CQI is represented by 4 bits. The CQI bits are reported by being included in uplink control information (UCI). The base station performs scheduling in conjunction with the CQI reported by the terminal, and determines a downlink MCS index and resource allocation information. LTE protocol in Rel-8 defines a modulation and TBS table (which also refers to MCS table hereinafter). The MCS table has 32 levels, basically each level corresponds to an MCS index, and each MCS index essentially corresponds to a type of MCS (a set of modulation orders and encoding rates or a type of spectral efficiency). Resource allocation information provides the number of physical resource blocks (NPRB) needed to be occupied by downlink transmission.

[0008] After receiving data of the downlink transmission, the terminal needs to acquire the MCS index and transport block size (TBS) for data demodulation and decoding of the downlink transmission. The base station sends downlink control information in a specific downlink control information (DCI) format in a physical downlink control channel (PDCCH), including a 5-bit MCS index and a resource allocation position. After the terminal obtains the TBS according to a TBS table after acquiring the downlink control information, and the TBS is used for demodulation and decoding.

[0009] In an ultra reliable and low latency communication (URLLC) communication scenario, the communication is required to be high reliability and low latency communication, then data communication must perform the ultra high reliability in a very short period of time, and signaling needs to be compressed, etc., so that the signaling is more concise and efficient. However, the MCS table of the current LTE or new radio (NR) may not meet the system requirement of the URLLC communication.

[0010] And in the communication process, it is necessary to determine TBS information at both the transmitting end and the receiving end. In the current NR communication protocol, a TBS calculated at a higher MCS level leads to the actual effective code rate being greater than 0.95, so that a receiving end cannot correctly decode transport block information and retransmission processing needs to be performed for decoding, a lot of system latency is brought, the communication stability are seriously affected.

[0011] In the related art, the communication system cannot effectively support the problem of low-latency and high-reliability communication, and no effective solution has been proposed yet.

SUMMARY



[0012] The present disclosure provides a data communication processing method and device to at least solve the problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication.

[0013] The present disclosure provides a data communication processing method, which is applied to a communication device. The method includes: acquiring a modulation order and a target code rate; calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; determining a transport block size (TBS) according to the quantized intermediate number N'info.

[0014] The present disclosure provides a data communication processing method, which is applied to a wireless communication node. The method includes: determining a modulation order and a target code rate; calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; and determining a transport block size (TBS) according to the quantized intermediate number N'info.

[0015] The present disclosure provides a data communication processing device, which is applied to a base station. The device includes: a first acquisition module, which is configured to acquire a modulation order and a target code rate; a calculation module, which is configure to calculate an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; a second acquisition module, which is configured to quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; and a determination module, which is configured to determine a transport block size (TBS) according to the quantized intermediate number N'info.

[0016] The present disclosure provides a data communication processing device, which is applied to a base station. The device includes: a second determination module, which is configured to determine a modulation order and a target code rate; a second calculation module, which is configure to calculate an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; a third acquisition module, which is configured to quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; and a third determination module, which is configured to determine a transport block size (TBS) according to the quantized intermediate number N'info.

[0017] The present disclosure further provides a storage medium. The storage medium is configured to store computer programs which, when run, execute the steps of any one of the method embodiments described above.

[0018] The present disclosure further provides an electronic device, including a memory and a processor, where the memory is configured to store computer programs and the processor is configured to execute the computer programs for executing the steps in any one of the method embodiments described above.

BRIEF DESCRIPTION OF DRAWINGS



[0019] 

FIG. 1 is a flowchart of a data communication processing method according to an embodiment of the present disclosure;

FIG. 2 is a flowchart of another data communication processing method according to an embodiment of the present disclosure;

FIG. 3A is a schematic diagram of a code rate provided by an embodiment;

FIG. 3B is a schematic diagram of another code rate provided by an embodiment;

FIG. 3C is a schematic diagram of another code rate provided by an embodiment;

FIG. 4A is a performance diagram of a data communication processing method provided by an embodiment;

FIG. 4B is a performance diagram of another data communication processing method provided by an embodiment;

FIG. 5 is a block diagram of a data communication processing device provided by an embodiment; and

FIG. 6 is a block diagram of another data communication processing device provided by an embodiment.


DETAILED DESCRIPTION



[0020] The present disclosure will be described hereinafter in detail with reference to the drawings and in conjunction with embodiments.

[0021] The terms "first", "second" and the like in the description, claims and above drawings of the present disclosure are used to distinguish between similar objects and are not necessarily used to describe a particular order or sequence.

Embodiment one



[0022] FIG. 1 is a flowchart of a data communication processing method according to an embodiment. The method is applied to a communication device or a user equipment (UE). As shown in FIG. 1, the method includes steps S102, S104, S106 and S108 described below.

[0023] In step S102, a modulation order and a target code rate are acquired.

[0024] In step S104, an intermediate number Ninfo of information bits is calculated at least according to a total number of resource elements, the modulation order and the target code rate.

[0025] In step S106, the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info.

[0026] In step S108, a transport block size (TBS) is determined according to the quantized intermediate number N'info.

[0027] In an embodiment, the step in which TBS is determined according to the quantized intermediate number N'info includes: selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0028] Through the above steps S102 to S108, the modulation order and the target code rate are acquired, the intermediate number Ninfo of the information bits is calculated at least according to the total number of resource elements, the modulation order and the target code rate; the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info; and the transport block size (TBS) is determined according to the quantized intermediate number N'info. The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

[0029] In an embodiment, the step in which the modulation order and the target code rate are acquired includes steps descried below.

[0030] In step S110, control information is received from a wireless communication node, where the control information at least includes: modulation and coding scheme (MCS) field information.

[0031] In step S120, the modulation order and the target code rate are determined from an MCS table according to the MCS field information.

[0032] Through the above steps S110 to S120, the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate be greater than 0.95 is solved.

[0033] FIG. 2 is a flowchart of another data communication processing method according to an embodiment. The method is applied to a wireless communication node (such as a base station). As shown in FIG. 2, the method includes steps S202, S204, S206 and S208 described below.

[0034] In step S202, a modulation order and a target code rate are acquired.

[0035] In step S204, an intermediate number Ninfo of information bits is calculated at least according to a total number of resource elements, the modulation order and the target code rate.

[0036] In step S206, the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info.

[0037] In step S208, a transport block size (TBS) is determined according to the quantized intermediate number N'info.

[0038] In an embodiment, the step in which TBS is determined according to the quantized intermediate number N'info includes: selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0039] Through the above steps S202 to S208, the modulation order and the target code rate are determined, the intermediate number Ninfo of the information bits is calculated at least according to the total number of resource elements, the modulation order and the target code rate; the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info; and the transport block size (TBS) is determined according to the quantized intermediate number N'info. The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

[0040] In an embodiment, the step in which the modulation order and the target code rate are determined includes steps described below.

[0041] In step S210, control information of a communication device related to a wireless communication node is generated, where the control information at least includes: modulation and coding scheme (MCS) field information.

[0042] In step S220, the modulation order and the target code rate are determined from an MCS table according to the MCS field information.

[0043] Through the above steps S210 to S220, the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate be greater than 0.95 is solved.

[0044] In an embodiment, the method further includes steps described below.

[0045] In step S310, the wireless communication node demodulates and decodes data from the communication device (or the UE) according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data and the control information to the communication device (or the UE); or sends the control information to the communication device (or the UE).

[0046] In an embodiment, the step in which the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info includes: quantizing the intermediate number Ninfo according to the following formula:



where the Offset is determined according to the intermediate number Ninfo, and n = max(3,└log2(Ninfo)┘ - 6).

[0047] In an embodiment, the step in which the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info includes: quantizing the intermediate number Ninfo according to the following formula



where the Offset is determined according to the intermediate number Ninfo, and n = max(3,└log2(Ninfo)┘ - 6).

[0048] In an embodiment, the Offset is equal to a positive integer times an nth power of 2, n = max(3,└log2(Ninfo)┘ - 6), the positive integer is equal to 1, 2, 3, 4, 5 or 6.

[0049] In an embodiment, the step in which the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info includes: quantizing the intermediate number Ninfo according to the following formula



or

where n = max(3,└log2(Ninfo)┘ - 6), α is equal to 1, 2, 3, 4, 5 or 6.

[0050] In an embodiment, the intermediate number Ninfo of the information bits is less than or equal to a preset threshold, where the preset threshold is equal to 3824, 3816, 3840, or 3896.

[0051] In an embodiment, the above method further includes: determining the MCS table from multiple MCS tables according to higher layer signaling.

[0052] In an embodiment, the multiple MCS tables at least includes MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, and a target code rate; where a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, where Δa is a real number ranges -0.08 from 0.08.

[0053] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, a target code rate and spectral efficiency; where a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0; and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2; where Δs is a real number greater than 0.65 and less than 0.85.

[0054] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; where in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a mother code and Δb is only RV0, where Δb is a positive real number less than or equal to 0.1.

[0055] In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc includes: {RV0, RV2}, where Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1.

[0056] In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc includes: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, where Δc is a positive real number less than or equal to 0.1.

[0057] In an embodiment, the code rate of mother code is equal to 0.2.

[0058] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 is 3 or 4.

[0059] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 and RV2 is 4 or 5.

[0060] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, a target code rate of MCS with an 0 index is 80/1024; and/or a target code rate of MCS with an 1 index is 156/1024.

[0061] In an embodiment, the multiple MCS tables at least include one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, a target code rate and redundancy version number.

[0062] In an embodiment, the MCS table at least includes the following fields: the MCS index and the modulation order, the number of MCSs having a modulation order of 1 is 4, 5 and 6.

[0063] In an embodiment, the MCS table at least includes the following fields: the MCS index, the modulation order and the target code rate, the maximum target code rate of MCS having a modulation order of 1 is 198/1024 or 240/1024.

[0064] In an embodiment, the MCS table at least includes the following fields: the MCS index and the spectral efficiency, the maximum target code rate of MCS having a modulation order of 1 is 0.1934 or 0.2344.

[0065] This embodiment will be exemplarily described below in conjunction with exemplary embodiments.

[0066] In this embodiment, a data communication processing method is provided, which can be used in a new radio access technology (new RAT) communication system. The method provided in this exemplary embodiment can be applied to a Long Term Evolution (LTE) mobile communication system or a future fifth generation (5G) mobile communication system or other wireless or wired communication systems, and the data transmission direction is a direction where a base station sends data to a mobile user (downlink transmission of service data), or the data transmission direction is a direction where a mobile user sends data to a base station (uplink transmission of service data). The mobile user includes: a mobile device, an access terminal, a user terminal, a user station, a user unit, a mobile station, a remote station, a remote terminal, a user agent, a user equipment, a user device, or devices named after other terms. The base station includes: an access point (AP), which may be called a node B, a radio network controller (RNC), an evolved node B (eNB), a base station controller (BSC), a base station controller (BTS), a base station (BS), a transceiver function, a radio router, a radio transceiver, a basic service unit (BSS), an expansion service unit (ESS), a radio base station (RBS), or some other devices.

[0067] According to an aspect of this exemplary embodiment, an MCS modulation and coding processing method provided in this exemplary embodiment may be applied to a new wireless access technology communication system, and the new wireless access technology communication system includes an enhanced mobile broadband (eMBB) scenario, a URLLC scenario or a massive machine type communications (mMTC) scenario.

[0068] In an embodiment, the embodiment is a 5G new RAT application scenario, where in the above 5G communication, a data channel encoding uses quasi-cyclic LDPC encoding, and a lifting size set of the quasi-cyclic LDPC encoding is shown in Table 1, including 8 subsets and subset index numbers are 0 to 7. A base graph of a parity check matrix (PCM) in the quasi-cyclic LDPC encoding includes two types: a base graph 1 and a base graph 2. The base graph 1 of the basic graph matrix has 46 rows and 68 columns; and the base graph 2 of the basic graph matrix has 42 rows and 52 columns. Table 2 shows the basic graph matrix corresponding to the base graph 1 of the basic graph matrix and the corresponding 8 parity check matrices (PCMs), where i is used for indicating a row index and j is used for indicating a column index. Wherein iLS is an index number, and also corresponds to an index number of a lifting size subset, and each {i, j} combination in Table 2 determines that an i-th row and a j-th column of the base graph 1 are "1" elements. What corresponds to Table 3 is the base graph 2 of the base graph matrix and the corresponding 8 PCMs. The code rate of the mother code of the above base graph 1 is (68-46)/(68-2)=1/3=0.3333, and the code rate of the mother code of the above base graph 2 is (52-42)/(52-2)= 1/5=0.2.

[0069] In the LDPC encoding process, the basic graph matrix is determined according to information packet length information and quasi-cyclic LDPC encoding rate information. For example, if the information packet length information is less than 308, or the information packet length information is less than or equal to 3840 and the quasi-cyclic LDPC encoding code rate is less than or equal to 2/3, or the LDPC encoding code rate is less than or equal to 1/4, then base graph 2 of the base graph matrix is selected; in addition to the above situation, the base graph 1 of the base graph matrix is selected. Then according to the information packet length information and system column number information kb of the basic graph matrix, a lifting size Z of the quasi-cyclic LDPC encoding is determined from the table 1, for example, one lifting size Z greater than or equal to K/kb is selected from the table 1;the corresponding index number of the lifting size subset may be acquired according to the lifting size Z, the PCM from Table 2 or Table 3 may be determined according to the index number of the lifting size subset. The basic matrix Hb corresponding to the lifting size Z may be obtained according to the formula, and the above is elements in the i-th row and j-th column of the shift value matrix; the quasi-cyclic LDPC encoding may be performed on an information group bit sequence according to the lifting size Z and the basic matrix Hb.
Table 1 8 subsets of the lifting size of the LDPC encoding
Set index (iLS)Set of lifting sizes (Z)
0 {2, 4, 8, 16, 32, 64, 128, 256}
1 {3, 6, 12, 24, 48, 96, 192, 384}
2 {5, 10, 20, 40, 80, 160, 320}
3 {7, 14, 28, 56, 112, 224}
4 {9, 18, 36, 72, 144, 288}
5 {11, 22, 44, 88, 176, 352}
6 {13, 26, 52, 104, 208}
7 {15, 30, 60, 120, 240}
Table 2 Base graph 1 (HBG) of LDPC encoding and corresponding PCM (Vi,j)
HBGvi,jHBGvi,j
Row index iColumn index jSet index iLSRow index iColumn index jSet index iLS
0123456701234567
  0 250 307 73 223 211 294 0 135 15 1 96 2 290 120 0 348 6 138
  1 69 19 15 16 198 118 0 227 10 65 210 60 131 183 15 81 220
  2 226 50 103 94 188 167 0 126 13 63 318 130 209 108 81 182 173
  3 159 369 49 91 186 330 0 134 18 75 55 184 209 68 176 53 142
  5 100 181 240 74 219 207 0 84 25 179 269 51 81 64 113 46 49
  6 10 216 39 10 4 165 0 83 37 0 0 0 0 0 0 0 0
  9 59 317 15 0 29 243 0 53 16 1 64 13 69 154 270 190 88 78
  10 229 288 162 205 144 250 0 225 3 49 338 140 164 13 293 198 152
  11 110 109 215 216 116 1 0 205 11 49 57 45 43 99 332 160 84
0 12 191 17 164 21 216 339 0 128 20 51 289 115 189 54 331 122 5
  13 9 357 133 215 115 201 0 75 22 154 57 300 101 0 114 182 205
  15 195 215 298 14 233 53 0 135 38 0 0 0 0 0 0 0 0
  16 23 106 110 70 144 347 0 217 17 0 7 260 257 56 153 110 91 183
  18 190 242 113 141 95 304 0 220 14 164 303 147 110 137 228 184 112
  19 35 180 16 198 216 167 0 90 16 59 81 128 200 0 247 30 106
  20 239 330 189 104 73 47 0 105 17 1 358 51 63 0 116 3 219
  21 31 346 32 81 261 188 0 137 21 144 375 228 4 162 190 155 129
  22 1 1 1 1 1 1 0 1 39 0 0 0 0 0 0 0 0
  23 0 0 0 0 0 0 0 0 18 1 42 130 260 199 161 47 1 183
  0 2 76 303 141 179 77 22 96 12 233 163 294 110 151 286 41 215
  2 239 76 294 45 162 225 11 236 13 8 280 291 200 0 246 167 180
  3 117 73 27 151 223 96 124 136 18 155 132 141 143 241 181 68 143
  4 124 288 261 46 256 338 0 221 19 147 4 295 186 144 73 148 14
  5 71 144 161 119 160 268 10 128 40 0 0 0 0 0 0 0 0
1 7 222 331 133 157 76 112 0 92 19 0 60 145 64 8 0 87 12 179
  8 104 331 4 133 202 302 0 172 1 73 213 181 6 0 110 6 108
  9 173 178 80 87 117 50 2 56 7 72 344 101 103 118 147 166 159
  11 220 295 129 206 109 167 16 11 8 127 242 270 198 144 258 184 138
  12 102 342 300 93 15 253 60 189 10 224 197 41 8 0 204 191 196
  14 109 217 76 79 72 334 0 95 41 0 0 0 0 0 0 0 0
  15 132 99 266 9 152 242 6 85 20 0 151 187 301 105 265 89 6 77
  16 142 354 72 118 158 257 30 153   3 186 206 162 210 81 65 12 187
  17 155 114 83 194 147 133 0 87 9 217 264 40 121 90 155 15 203
  19 255 331 260 31 156 9 168 163 11 47 341 130 214 144 244 5 167
  21 28 112 301 187 119 302 31 216 22 160 59 10 183 228 30 30 130
  22 0 0 0 0 0 0 105 0 42 0 0 0 0 0 0 0 0
  23 0 0 0 0 0 0 0 0 21 1 249 205 79 192 64 162 6 197
  24 0 0 0 0 0 0 0 0 5 121 102 175 131 46 264 86 122
  0 106 205 68 207 258 226 132 189 16 109 328 132 220 266 346 96 215
  1 111 250 7 203 167 35 37 4 20 131 213 283 50 9 143 42 65
  2 185 328 80 31 220 213 21 225 21 171 97 103 106 18 109 199 216
  4 63 332 280 176 133 302 180 151 43 0 0 0 0 0 0 0 0
  5 117 256 38 180 243 111 4 236 22 0 64 30 177 53 72 280 44 25
  6 93 161 227 186 202 265 149 117 12 142 11 20 0 189 157 58 47
  7 229 267 202 95 218 128 48 179 13 188 233 55 3 72 236 130 126
  8 177 160 200 153 63 237 38 92 17 158 22 316 148 257 113 131 178
  9 95 63 71 177 0 294 122 24 44 0 0 0 0 0 0 0 0
2 10 39 129 106 70 3 127 195 68 23 1 156 24 249 88 180 18 45 185
  13 142 200 295 77 74 110 155 6 2 147 89 50 203 0 6 18 127
  14 225 88 283 214 229 286 28 101 10 170 61 133 168 0 181 132 117
  15 225 53 301 77 0 125 85 33 18 152 27 105 122 165 304 100 199
  17 245 131 184 198 216 131 47 96 45 0 0 0 0 0 0 0 0
  18 205 240 246 117 269 163 179 125 24 0 112 298 289 49 236 38 9 32
  19 251 205 230 223 200 210 42 67 3 86 158 280 157 199 170 125 178
  20 117 13 276 90 234 7 66 230 4 236 235 110 64 0 249 191 2
  24 0 0 0 0 0 0 0 0 11 116 339 187 193 266 288 28 156
  25 0 0 0 0 0 0 0 0 22 222 234 281 124 0 194 6 58
  0 121 276 220 201 187 97 4 128 46 0 0 0 0 0 0 0 0
  1 89 87 208 18 145 94 6 23 25 1 23 72 172 1 205 279 4 27
  3 84 0 30 165 166 49 33 162 6 136 17 295 166 0 255 74 141
  4 20 275 197 5 108 279 113 220 7 116 383 96 65 0 111 16 11
3 6 150 199 61 45 82 139 49 43 14 182 312 46 81 183 54 28 181
  7 131 153 175 142 132 166 21 186 47 0 0 0 0 0 0 0 0
  8 243 56 79 16 197 91 6 96 26 0 195 71 270 107 0 325 21 163
  10 136 132 281 34 41 106 151 1 2 243 81 110 176 0 326 142 131
  11 86 305 303 155 162 246 83 216 4 215 76 318 212 0 226 192 169
  12 246 231 253 213 57 345 154 22   15 61 136 67 127 277 99 197 98
  13 219 341 164 147 36 269 87 24 48 0 0 0 0 0 0 0 0
  14 211 212 53 69 115 185 5 167 27 1 25 194 210 208 45 91 98 165
  16 240 304 44 96 242 249 92 200 6 104 194 29 141 36 326 140 232
  17 76 300 28 74 165 215 173 32 8 194 101 304 174 72 268 22 9
  18 244 271 77 99 0 143 120 235 49 0 0 0 0 0 0 0 0
  20 144 39 319 30 113 121 2 172 28 0 128 222 11 146 275 102 4 32
  21 12 357 68 158 108 121 142 219 4 165 19 293 153 0 1 1 43
  22 1 1 1 1 1 1 0 1 19 181 244 50 217 155 40 40 200
  25 0 0 0 0 0 0 0 0 21 63 274 234 114 62 167 93 205
4 0 157 332 233 170 246 42 24 64 50 0 0 0 0 0 0 0 0
1 102 181 205 10 235 256 204 211 29 1 86 252 27 150 0 273 92 232
26 0 0 0 0 0 0 0 0 14 236 5 308 11 180 104 136 32
  0 205 195 83 164 261 219 185 2 18 84 147 117 53 0 243 106 118
  1 236 14 292 59 181 130 100 171 25 6 78 29 68 42 107 6 103
  3 194 115 50 86 72 251 24 47 51 0 0 0 0 0 0 0 0
5 12 231 166 318 80 283 322 65 143 30 0 216 159 91 34 0 171 2 170
  16 28 241 201 182 254 295 207 210 10 73 229 23 130 90 16 88 199
  21 123 51 267 130 79 258 161 180 13 120 260 105 210 252 95 112 26
  22 115 157 279 153 144 283 72 180 24 9 90 135 123 173 212 20 105
  27 0 0 0 0 0 0 0 0 52 0 0 0 0 0 0 0 0
  0 183 278 289 158 80 294 6 199 31 1 95 100 222 175 144 101 4 73
  6 22 257 21 119 144 73 27 22 7 177 215 308 49 144 297 49 149
  10 28 1 293 113 169 330 163 23 22 172 258 66 177 166 279 125 175
  11 67 351 13 21 90 99 50 100 25 61 256 162 128 19 222 194 108
6 13 244 92 232 63 59 172 48 92 53 0 0 0 0 0 0 0 0
  17 11 253 302 51 177 150 24 207 32 0 221 102 210 192 0 351 6 103
  18 157 18 138 136 151 284 38 52 12 112 201 22 209 211 265 126 110
  20 211 225 235 116 108 305 91 13 14 199 175 271 58 36 338 63 151
  28 0 0 0 0 0 0 0 0 24 121 287 217 30 162 83 20 211
  0 220 9 12 17 169 3 145 77 54 0 0 0 0 0 0 0 0
7 1 44 62 88 76 189 103 88 146 33 1 2 323 170 114 0 56 10 199
  4 159 316 207 104 154 224 112 209 2 187 8 20 49 0 304 30 132
  7 31 333 50 100 184 297 153 32 11 41 361 140 161 76 141 6 172
  8 167 290 25 150 104 215 159 166 21 211 105 33 137 18 101 92 65
  14 104 114 76 158 164 39 76 18   55 0 0 0 0 0 0 0 0
29 0 0 0 0 0 0 0 0 34 0 127 230 187 82 197 60 4 161
  0 112 307 295 33 54 348 172 181 7 167 148 296 186 0 320 153 237
  1 4 179 133 95 0 75 2 105 15 164 202 5 68 108 112 197 142
  3 7 165 130 4 252 22 131 141 17 159 312 44 150 0 54 155 180
  12 211 18 231 217 41 312 141 223 56 0 0 0 0 0 0 0 0
8 16 102 39 296 204 98 224 96 177 35 1 161 320 207 192 199 100 4 231
  19 164 224 110 39 46 17 99 145 6 197 335 158 173 278 210 45 174
  21 109 368 269 58 15 59 101 199 12 207 2 55 26 0 195 168 145
  22 241 67 245 44 230 314 35 153 22 103 266 285 187 205 268 185 100
  24 90 170 154 201 54 244 116 38 57 0 0 0 0 0 0 0 0
  30 0 0 0 0 0 0 0 0 36 0 37 210 259 222 216 135 6 11
  0 103 366 189 9 162 156 6 169 14 105 313 179 157 16 15 200 207
  1 182 232 244 37 159 88 10 12 15 51 297 178 0 0 35 177 42
  10 109 321 36 213 93 293 145 206 18 120 21 160 6 0 188 43 100
  11 21 133 286 105 134 111 53 221 58 0 0 0 0 0 0 0 0
9 13 142 57 151 89 45 92 201 17 37 1 198 269 298 81 72 319 82 59
  17 14 303 267 185 132 152 4 212 13 220 82 15 195 144 236 2 204
  18 61 63 135 109 76 23 164 92 23 122 115 115 138 0 85 135 161
  20 216 82 209 218 209 337 173 205 59 0 0 0 0 0 0 0 0
  31 0 0 0 0 0 0 0 0 38 0 167 185 151 123 190 164 91 121
  1 98 101 14 82 178 175 126 116 9 151 177 179 90 0 196 64 90
  2 149 339 80 165 1 253 77 151 10 157 289 64 73 0 209 198 26
  4 167 274 211 174 28 27 156 70 12 163 214 181 10 0 246 100 140
10 7 160 111 75 19 267 231 16 230 60 0 0 0 0 0 0 0 0
  8 49 383 161 194 234 49 12 115 39 1 173 258 102 12 153 236 4 115
  14 58 354 311 103 201 267 70 84 3 139 93 77 77 0 264 28 188
  32 0 0 0 0 0 0 0 0 7 149 346 192 49 165 37 109 168
  0 77 48 16 52 55 25 184 45 19 0 297 208 114 117 272 188 52
  1 41 102 147 11 23 322 194 115 61 0 0 0 0 0 0 0 0
  12 83 8 290 2 274 200 123 134 40 0 157 175 32 67 216 304 10 4
11 16 182 47 289 35 181 351 16 1 8 137 37 80 45 144 237 84 103
  21 78 188 177 32 273 166 104 152 17 149 312 197 96 2 135 12 30
  22 252 334 43 84 39 338 109 165 62 0 0 0 0 0 0 0 0
  23 22 115 280 201 26 192 124 107 41 1 167 52 154 23 0 123 2 53
  33 0 0 0 0 0 0 0 0   3 173 314 47 215 0 77 75 189
  0 160 77 229 142 225 123 6 186   9 139 139 124 60 0 25 142 215
  1 42 186 235 175 162 217 20 215 18 151 288 207 167 183 272 128 24
  10 21 174 169 136 244 142 203 124 63 0 0 0 0 0 0 0 0
12 11 32 232 48 3 151 110 153 180 42 0 149 113 226 114 27 288 163 222
  13 234 50 105 28 238 176 104 98 4 157 14 65 91 0 83 10 170
  18 7 74 52 182 243 76 207 80 24 137 218 126 78 35 17 162 71
  34 0 0 0 0 0 0 0 0 64 0 0 0 0 0 0 0 0
  0 177 313 39 81 231 311 52 220 43 1 151 113 228 206 52 210 1 22
  3 248 177 302 56 0 251 147 185 16 163 132 69 22 243 3 163 127
  7 151 266 303 72 216 265 1 154 18 173 114 176 134 0 53 99 49
13 20 185 115 160 217 47 94 16 178 25 139 168 102 161 270 167 98 125
  23 62 370 37 78 36 81 46 150 65 0 0 0 0 0 0 0 0
  35 0 0 0 0 0 0 0 0 44 0 139 80 234 84 18 79 4 191
  0 206 142 78 14 0 22 1 124 7 157 78 227 4 0 244 6 211
  12 55 248 299 175 186 322 202 144 9 163 163 259 9 0 293 142 187
  15 206 137 54 211 253 277 118 182 22 173 274 260 12 57 272 3 148
14 16 127 89 61 191 16 156 130 95 66 0 0 0 0 0 0 0 0
  17 16 347 179 51 0 66 1 72 45 1 149 135 101 184 168 82 181 177
  21 229 12 258 43 79 78 2 76 6 151 149 228 121 0 67 45 114
  36 0 0 0 0 0 0 0 0 10 167 15 126 29 144 235 153 93
15 0 40 241 229 90 170 176 173 39 67 0 0 0 0 0 0 0 0
Table 3 Base graph 2 (HBG) of LDPC encoding and corresponding PCM (Vi,j)
HBGvi,jHBGvi,j
Row index iColumn index jSet index iLSRow index iColumn index jSet index iLS
0123456701234567
  0 9 174 0 72 3 156 143 145 16 26 0 0 0 0 0 0 0 0
  1 117 97 0 110 26 143 19 131 17 1 254 158 0 48 120 134 57 196
  2 204 166 0 23 53 14 176 71 5 124 23 24 132 43 23 201 173
  3 26 66 0 181 35 3 165 21 11 114 9 109 206 65 62 142 195
0 6 189 71 0 95 115 40 196 23 12 64 6 18 2 42 163 35 218
  9 205 172 0 8 127 123 13 112 27 0 0 0 0 0 0 0 0
  10 0 0 0 1 0 0 0 1 18 0 220 186 0 68 17 173 129 128
  11 0 0 0 0 0 0 0 0 6 194 6 18 16 106 31 203 211
  0 167 27 137 53 19 17 18 142 7 50 46 86 156 142 22 140 210
  3 166 36 124 156 94 65 27 174 28 0 0 0 0 0 0 0 0
  4 253 48 0 115 104 63 3 183 19 0 87 58 0 35 79 13 110 39
  5 125 92 0 156 66 1 102 27 1 20 42 158 138 28 135 124 84
1 6 226 31 88 115 84 55 185 96 10 185 156 154 86 41 145 52 88
  7 156 187 0 200 98 37 17 23 29 0 0 0 0 0 0 0 0
  8 224 185 0 29 69 171 14 9 20 1 26 76 0 6 2 128 196 117
  9 252 3 55 31 50 133 180 167 4 105 61 148 20 103 52 35 227
  11 0 0 0 0 0 0 0 0 11 29 153 104 141 78 173 114 6
  12 0 0 0 0 0 0 0 0 30 0 0 0 0 0 0 0 0
  0 81 25 20 152 95 98 126 74 21 0 76 157 0 80 91 156 10 238
  1 114 114 94 131 106 168 163 31 8 42 175 17 43 75 166 122 13
  3 44 117 99 46 92 107 47 3 13 210 67 33 81 81 40 23 11
  4 52 110 9 191 110 82 183 53 31 0 0 0 0 0 0 0 0
2 8 240 114 108 91 111 142 132 155 22 1 222 20 0 49 54 18 202 195
  10 1 1 1 0 1 1 1 0 2 63 52 4 1 132 163 126 44
  12 0 0 0 0 0 0 0 0 32 0 0 0 0 0 0 0 0
  13 0 0 0 0 0 0 0 0 23 0 23 106 0 156 68 110 52 5
3 1 8 136 38 185 120 53 36 239 3 235 86 75 54 115 132 170 94
2 58 175 15 6 121 174 48 171 5 238 95 158 134 56 150 13 111
4 158 113 102 36 22 174 18 95 33 0 0 0 0 0 0 0 0
5 104 72 146 124 4 127 111 110 24 1 46 182 0 153 30 113 113 81
6 209 123 12 124 73 17 203 159 2 139 153 69 88 42 108 161 19
  7 54 118 57 110 49 89 3 199   9 8 64 87 63 101 61 88 130
  8 18 28 53 156 128 17 191 43 34 0 0 0 0 0 0 0 0
  9 128 186 46 133 79 105 160 75 25 0 228 45 0 211 128 72 197 66
  10 0 0 0 1 0 0 0 1 5 156 21 65 94 63 136 194 95
  13 0 0 0 0 0 0 0 0 35 0 0 0 0 0 0 0 0
  0 179 72 0 200 42 86 43 29 26 2 29 67 0 90 142 36 164 146
4 1 214 74 136 16 24 67 27 140 7 143 137 100 6 28 38 172 66
  11 71 29 157 101 51 83 117 180 12 160 55 13 221 100 53 49 190
  14 0 0 0 0 0 0 0 0 13 122 85 7 6 133 145 161 86
  0 231 10 0 185 40 79 136 121 36 0 0 0 0 0 0 0 0
  1 41 44 131 138 140 84 49 41 27 0 8 103 0 27 13 42 168 64
5 5 194 121 142 170 84 35 36 169 6 151 50 32 118 10 104 193 181
  7 159 80 141 219 137 103 132 88 37 0 0 0 0 0 0 0 0
  11 103 48 64 193 71 60 62 207 28 1 98 70 0 216 106 64 14 7
  15 0 0 0 0 0 0 0 0 2 101 111 126 212 77 24 186 144
  0 155 129 0 123 109 47 7 137 5 135 168 110 193 43 149 46 16
  5 228 92 124 55 87 154 34 72 38 0 0 0 0 0 0 0 0
6 7 45 100 99 31 107 10 198 172 29 0 18 110 0 108 133 139 50 25
  9 28 49 45 222 133 155 168 124 4 28 17 154 61 25 161 27 57
  11 158 184 148 209 139 29 12 56 39 0 0 0 0 0 0 0 0
  16 0 0 0 0 0 0 0 0 30 2 71 120 0 106 87 84 70 37
  1 129 80 0 103 97 48 163 86 5 240 154 35 44 56 173 17 139
  5 147 186 45 13 135 125 78 186 7 9 52 51 185 104 93 50 221
7 7 140 16 148 105 35 24 143 87 9 84 56 134 176 70 29 6 17
  11 3 102 96 150 108 47 107 172 40 0 0 0 0 0 0 0 0
  13 116 143 78 181 65 55 58 154 31 1 106 3 0 147 80 117 115 201
  17 0 0 0 0 0 0 0 0 13 1 170 20 182 139 148 189 46
  0 142 118 0 147 70 53 101 176 41 0 0 0 0 0 0 0 0
  1 94 70 65 43 69 31 177 169 32 0 242 84 0 108 32 116 110 179
8 12 230 152 87 152 88 161 22 225 5 44 8 20 21 89 73 0 14
  18 0 0 0 0 0 0 0 0 12 166 17 122 110 71 142 163 116
  1 203 28 0 2 97 104 186 167 42 0 0 0 0 0 0 0 0
9 8 205 132 97 30 40 142 27 238 33 2 132 165 0 71 135 105 163 46
  10 61 185 51 184 24 99 205 48 7 164 179 88 12 6 137 173 2
  11 247 178 85 83 49 64 81 68 10 235 124 13 109 2 29 179 106
  19 0 0 0 0 0 0 0 0   43 0 0 0 0 0 0 0 0
  0 11 59 0 174 46 111 125 38 34 0 147 173 0 29 37 11 197 184
  1 185 104 17 150 41 25 60 217 12 85 177 19 201 25 41 191 135
10 6 0 22 156 8 101 174 177 208 13 36 12 78 69 114 162 193 141
  7 117 52 20 56 96 23 51 232 44 0 0 0 0 0 0 0 0
  20 0 0 0 0 0 0 0 0 35 1 57 77 0 91 60 126 157 85
  0 11 32 0 99 28 91 39 178 5 40 184 157 165 137 152 167 225
  7 236 92 7 138 30 175 29 214 11 63 18 6 55 93 172 181 175
11 9 210 174 4 110 116 24 35 168 45 0 0 0 0 0 0 0 0
  13 56 154 2 99 64 141 8 51 36 0 140 25 0 1 121 73 197 178
  21 0 0 0 0 0 0 0 0 2 38 151 63 175 129 154 167 112
  1 63 39 0 46 33 122 18 124 7 154 170 82 83 26 129 179 106
  3 111 93 113 217 122 11 155 122 46 0 0 0 0 0 0 0 0
12 11 14 11 48 109 131 4 49 72 37 10 219 37 0 40 97 167 181 154
  22 0 0 0 0 0 0 0 0 13 151 31 144 12 56 38 193 114
  0 83 49 0 37 76 29 32 48 47 0 0 0 0 0 0 0 0
  1 2 125 112 113 37 91 53 57 38 1 31 84 0 37 1 112 157 42
13 8 38 35 102 143 62 27 95 167 5 66 151 93 97 70 7 173 41
  13 222 166 26 140 47 127 186 219 11 38 190 19 46 1 19 191 105
  23 0 0 0 0 0 0 0 0 48 0 0 0 0 0 0 0 0
  1 115 19 0 36 143 11 91 82 39 0 239 93 0 106 119 109 181 167
  6 145 118 138 95 51 145 20 232 7 172 132 24 181 32 6 157 45
14 11 3 21 57 40 130 8 52 204 12 34 57 138 154 142 105 173 189
  13 232 163 27 116 97 166 109 162 49 0 0 0 0 0 0 0 0
  24 0 0 0 0 0 0 0 0 40 2 0 103 0 98 6 160 193 78
  0 51 68 0 116 139 137 174 38 10 75 107 36 35 73 156 163 67
  10 175 63 73 200 96 103 108 217 13 120 163 143 36 102 82 179 180
15 11 213 81 99 110 128 40 102 157 50 0 0 0 0 0 0 0 0
  25 0 0 0 0 0 0 0 0 41 1 129 147 0 120 48 132 191 53
  1 203 87 0 75 48 78 125 170 5 229 7 2 101 47 6 197 215
16 9 142 177 79 158 9 158 31 23 11 118 60 55 81 19 8 167 230
  11 8 135 111 134 28 17 54 175 51 0 0 0 0 0 0 0 0
  12 242 64 143 97 8 165 176 202                    


[0070] The following describes this embodiment in combination with exemplary embodiments.

Exemplary embodiment one



[0071] A data communication processing method, applied to a communication device or a UE, includes: receiving control information from a wireless communication node, the wireless communication node includes a base station (BS), and the control information is downlink control information (DCI).

[0072] The control information at least includes: modulation and coding scheme (MCS) field information. The MCS field information is applied to: determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculate an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; select one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0073] The UE demodulates and decodes data from the base station according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data to the base station.

[0074] In an embodiment, the UE determines the TBS through steps described below.

[0075] In step 10: the UE first determines a total number of resource elements (REs) (NRE) in a slot.

[0076] The number of resource elements

allocated in a physical resource block (PRB) is determined by the following calculation formula:

where

indicates the number of subcarriers included in a PRB in a frequency domain,

indicates the number of orthogonal frequency division multiplexing (OFDM) symbols that can be scheduled in a slot,

indicates the number of REs occupied by demodulation reference signals (DM-RS) in each PRB within a schedulable duration (including overhead of DMRS code division multiplexing (CDM) groups indicated by a DCI format 1_0/1_1);, and

indicates overhead of high layer configuration parameter Xoh-PDSCH. If Xoh-PDSCH is not configured (a value of Xoh-PDSCH is one of {0, 6, 12, 18}), the Xoh-PDSCH is configured to be 0.

[0077] According to the calculated number of available REs

in each PRB, the total number of resource elements (NRE) is calculated according to

where nPRB is the total number of allocated resource blocks, which is determined by frequency field resource field signaling in downlink control signaling.

[0078] In step 20: an intermediate number Ninfo of information bits is calculated at least according to a total number of resource elements, the modulation order and the target code rate, where the calculation formula is as follows: Ninfo = NRE · R · Qm · v.

[0079] NRE in the above formula is the total number of the resource elements, R is the target code rate, Qm is the modulation order, v is the layer number. The modulation order and the target code rate are determined from the MCS table based on the MCS field information received by the UE.

[0080] If the calculated intermediate number Ninfo of the information bits is less than or equal to 3824 (a preset threshold is equal to 3824), then the TBS is determined according to step 3; if the intermediate number Ninfo is greater than 3824, the TBS is determined according to step 4.

[0081] In step 30: when the intermediate number Ninfo ≤ 3824 (the preset threshold is equal to 3824), the TBS is determined according to the following processing method:
quantizing and calculating the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info. in this embodiment, the quantizing and calculating the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info includes one of the following methods to obtain the quantized intermediate number N'info.

[0082] Method one:

the Offset is determined by the intermediate number, in an embodiment, the Offset is equal to a positive integer times an nth power of 2, n = max(3,└log2(Ninfo)┘ - 6), the positive integer is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, the positive integer is equal to 3.

[0083] Method two:

the Offset is determined by the intermediate number, in an embodiment, the Offset is equal to a positive integer times an nth power of 2, n = max(3,└log2(Ninfo)┘ - 6), the positive integer is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, the positive integer is equal to 3.

[0084] Method three:

where n = max(3,└log2(Ninfo)┘ - 6), α is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, α is equal to 3;

[0085] Method four:

where n = max(3,└log2(Ninfo)┘ - 6), α is equal to 1, 2, 3, 4, 5 or 6. In an embodiment, α is equal to 3.

[0086] From the one-dimensional TBS table of Table 1-1, a TBS which is not less than and closest to a final TBS is found.
Table 1-1 TBS table (Ninfo ≤ 3824)
IndexTBSIndexTBSIndexTBSIndexTBS
1 24 31 336 61 1288 91 3624
2 32 32 352 62 1320 92 3752
3 40 33 368 63 1352 93 3824
4 48 34 384 64 1416    
5 56 35 408 65 1480    
6 64 36 432 66 1544    
7 72 37 456 67 1608    
8 80 38 480 68 1672    
9 88 39 504 69 1736    
10 96 40 528 70 1800    
11 104 41 552 71 1864    
12 112 42 576 72 1928    
13 120 43 608 73 2024    
14 128 44 640 74 2088    
15 136 45 672 75 2152    
16 144 46 704 76 2216    
17 152 47 736 77 2280    
18 160 48 768 78 2408    
19 168 49 808 79 2472    
20 176 50 848 80 2536    
21 184 51 888 81 2600    
22 192 52 928 82 2664    
23 208 53 984 83 2728    
24 224 54 1032 84 2792    
25 240 55 1064 85 2856    
26 256 56 1128 86 2976    
27 272 57 1160 87 3104    
28 288 58 1192 88 3240    
29 304 59 1224 89 3368    
30 320 60 1256 90 3496    


[0087] In step 40: when the intermediate number Ninfo > 3824 (the preset threshold is equal to 3824), the TBS is determined according to the following processing method:
quantizing the intermediate number:

where n = └log2(Ninfo - 24)┘ - 5, and round (·) refers to rounding;



[0088] In this embodiment, the preset thresholds in steps 20, 30, and 40 are equal to 3824, the preset thresholds are not limited to 3824, and the preset thresholds may be equal to any integer from 2048 to 6144. In an embodiment, the preset threshold may also be equal to 3816, 3840 or 3896.

[0089] The performance comparison charts are shown in FIGS. 3A to 3C, a vertical ordinate is an effective code rate, two coordinates in a horizontal plane are the total number of allocated resource blocks (PRB) and the number of resource elements allocated in a resource block (PRB). FIG. 3A is a code rate diagram corresponding to quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info by using the method 1 in step 3, FIG. 3B is a code rate diagram corresponding to quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info by using the method 2 in step 3, and FIG. 3C is a code rate diagram corresponding to a quantization method without subtracting Offset (i.e., the quantization formula does not subtract Offset or α) by using the method 1 in step 3. It can be seen that for the MCS table shown in Table 1-3 (the highest modulation order is 8, which corresponds to 256QAM), most code rates obtained by subtracting Offset from the code rates obtained by using the quantization method are less than 0.95, so when LDPC is decoded, the LDPC may be decoded correctly. In the code rate diagram in FIG. 3C, it can be found that some code rates obtained by the quantization method without subtracting the Offset in the quantization formula are greater than 0.95, so retransmission is needed in actual work to guarantee performance, but retransmission brings a large latency. The quantization method has a relatively large advantage.

[0090] The processing method in step 30 is not limited to the above method, but may also be the following processing method.

[0091] When the intermediate number Ninfo ≤ 3824 (the preset threshold is equal to 3824), the TBS is determined according to the following processing method: quantizing and calculating the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; where the quantizing and calculating the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info includes one of the following methods to obtain the quantized intermediate number N'info:

where n = max(3,└log2(Ninfo)┘ - 6).

[0092] From the one-dimensional TBS table of Table 1-1, a TBS which is not less than and closest to a final TBS is found. The Offset is determined by the intermediate number Ninfo. In one embodiment, the Offset is equal to a positive integer times an nth power of 2, n = max(3,└log2(Ninfo)┘ - 6), the positive integer is equal to 1, 2, 3, 4, 5 or 6. In one embodiment, the positive integer is equal to 3.

[0093] In an embodiment, determining the modulation order and the target code rate from an MCS table according to the MCS field information further includes: determining the MCS table from multiple MCS tables according to higher layer signaling. The higher layer signaling may be table field signaling (MCS-Table-PDSCH). When the MCS-Table-PDSCH does not indicate '256QAM', the modulation order and the target code rate are determined in the MCS table example of the Table 1-2 according to the modulation and coding scheme field information. When the MCS-Table-PDSCH indicates '256QAM', the modulation order and the target code are determined from the MCS table example of Table 1-3 according to the MCS field information. In this embodiment, values of target code rates in the above MCS table are all greater than 1 (the code rate in channel encoding is generally not greater than 1, which has been multiplied by 1024 in the example table), so the actual target code rate value also needs to be divided by 1024. That is, in the description of the MCS table, the above target code rates are values obtained by timing 1024. As shown in Table 1-2, the target code rate corresponding to the MCS index of 0 is 120/1024.
Table 1-2 MCS table example
MCS Index IMCSModulation Order QmTarget code Rate x [1024] RSpectral efficiency
0 2 120 0.2344
1 2 157 0.3066
2 2 193 0.3770
3 2 251 0.4902
4 2 308 0.6016
5 2 379 0.7402
6 2 449 0.8770
7 2 526 1.0273
8 2 602 1.1758
9 2 679 1.3262
10 4 340 1.3281
11 4 378 1.4766
12 4 434 1.6953
13 4 490 1.9141
14 4 553 2.1602
15 4 616 2.4063
16 4 658 2.5703
17 6 438 2.5664
18 6 466 2.7305
19 6 517 3.0293
20 6 567 3.3223
21 6 616 3.6094
22 6 666 3.9023
23 6 719 4.2129
24 6 772 4.5234
25 6 822 4.8164
26 6 873 5.1152
27 6 910 5.3320
28 6 948 5.5547
29 2 reserved
30 4 reserved
31 6 reserved
Table 1-3 MCS table example
MCS Index IMCSModulation Order QmTarget code Rate x [1024] RSpectral efficiency
0 2 120 0.2344
1 2 193 0.3770
2 2 308 0.6016
3 2 449 0.8770
4 2 602 1.1758
5 4 378 1.4766
6 4 434 1.6953
7 4 490 1.9141
8 4 553 2.1602
9 4 616 2.4063
10 4 658 2.5703
11 6 466 2.7305
12 6 517 3.0293
13 6 567 3.3223
14 6 616 3.6094
15 6 666 3.9023
16 6 719 4.2129
17 6 772 4.5234
18 6 822 4.8164
19 6 873 5.1152
20 8 682.5 5.3320
21 8 711 5.5547
22 8 754 5.8906
23 8 797 6.2266
24 8 841 6.5703
25 8 885 6.9141
26 8 916.5 7.1602
27 8 948 7.4063
28 2 reserved
29 4 reserved
30 6 reserved
31 8 reserved

Exemplary embodiment two



[0094] A data communication processing method, applied to a communication device or a UE, includes: receiving control information from a wireless communication node, the wireless communication node includes a base station (BS), and the control information is downlink control information (DCI). The control information at least includes: modulation and coding scheme (MCS) field information; the MCS field information is applied to determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0095] The UE demodulates and decodes data from the base station according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data to the base station.

[0096] In an embodiment, determining the modulation order and the target code rate from an MCS table according to the MCS field information further includes: determining the MCS table from multiple MCS tables according to higher layer signaling. The higher layer signaling includes: but is not limited to, at least one of the following: MCS table field signaling (MCS-Table-PDSCH), target block error rate (BLER) field signaling (BLER-Target), CQI table field signaling (CQI-table).

[0097] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, and a target code rate; where a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, where Δa is a real number ranges -0.08 from 0.08.For example, see table 2-1,The code rate of the mother code is a code rate of mother code of a base graph 2 of the basic graph of the LDPC coding defined by an NR protocol, that is, the code rate of the mother code is equal to 1/5=0.2.
Table 2-1 MCS table example 1
MCS Index IMCSModulation Order QmTarget code Rate x 1024 RSpectral efficiency
0 1 80 0.0781
1 1 156 0.1523
2 2 120 0.2344
3 2 193 0.3770
4 2 308 0.6016
5 2 449 0.8770
6 2 602 1.1758
7 4 378 1.4766
8 4 490 1.9141
9 4 616 2.4063
10 6 466 2.7305
11 6 567 3.3223
12 6 666 3.9023
13 2 reserved
14 4 reserved
15 6 reserved


[0098] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index and a spectral efficiency; where a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0; and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2; where Δs is a real number greater than 0.65 and less than 0.85, which is show in Table 2-2. The beneficial effect of using the MCS table designed above is that only 4-bit control signaling information may be used to include MCS level information and redundancy version information, which greatly saves resources occupied by control signaling and greatly improves communication system stability. In this embodiment, the above MCS table includes the following fields: the MCS index, the modulation order, the target code rate, the spectral efficiency, and a redundancy version (RV) index. It can be seen that an MCS index uniquely indicates a combination of the modulation order, the target code rate, the spectral efficiency, and the RV index. The corresponding modulation order, the target code rate and the RV index is able to be obtained by the MCS field information in the downlink control information (DCI).
Table 2-2 MCS table example 2
MCS Index IMCSModulation Order QmTarget code Rate x [1024] RSpectral efficiencyRedundancy Version rvidx
0 2 40 0.0781 0
1 2 78 0.1523 0
2 2 120 0.2344 0
3 2 193 0.3770 0
4 2 308 0.6016 0
5 2 449 0.8770 0
6 2
7 4 378 1.4766 0
8 2
9 4 616 2.4063 0
10 2
11 6 567 3.3223 0
12 2
13 2 reserved 2
14 4 reserved 2
15 6 reserved 2


[0099] In an embodiment, multiple MCS tables includes at least one MCS table, where the one MCS table includes at least the following fields: the MCS index, the modulation order, the target code rate, and the spectral efficiency; where the MCS index in the one MCS table only indicates a redundancy version number (index) corresponding to the MCS of the modulation order (not indicating the corresponding target code rate and the spectral efficiency, or the corresponding target code rate and the spectral efficiency are reserved items). An MCS table example is as shown in Table 2-2, where the MCS indexes only indicating the modulation order are 13, 14 and 15, and the corresponding redundancy version number (index) indicated by the MCS with indexes 13, 14 and 15 is equal to 2.

[0100] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table comprises at least the following fields: an MCS index and the target code rate; where in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a mother code and Δb is only RV0, where Δb is a positive real number less than or equal to 0.1; and/or in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc comprises: {RV0, RV2}, where Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1; and/or

[0101] in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc comprises: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, wherein Δc is a positive real number less than or equal to 0.1. For example, see table 2-1,The code rate of the mother code is a code rate of mother code of a base graph 2 of the basic graph of the LDPC coding defined by an NR protocol, that is, the code rate of the mother code is equal to 1/5=0.2.

[0102] In this embodiment, one MCS table example includes the following fields: the MCS index, the modulation order, the target code rate, the spectral efficiency, and the redundancy version (RV) number, which is shown in table 2-3.
Table 2-3 MCS table example 3
MCS Index IMCS Modulation Order Qm Target code Rate x [1024] R Spectral efficiency Redundancy Version rvidx
0 2 78 0.1523 0
1 2 120 0.2344 0
2 2 193 0.3770 0
3 2 308 0.6016 0
4 2
5 2 449 0.8770 0
6 2
7 2 602 1.1758 0
8 2
9 3
10       1
11 4 378 1.4766 0
12 2
13 4 490 1.9141 0
14 2
15 4 616 2.4063 0
16 2
17 3
18 1
19 6 466 2.7305 0
20 2
21 6 567 3.3223 0
22 2
23 3
24 1
25 6 666 3.9023 0
26 2
27 3
28 1
29 2 reserved 2
30 4 reserved 2
31 6 reserved 2


[0103] It can be seen from Table 2-3, the redundancy version of the MCS corresponding to the target code rate of {78, 120, 193}/1024 is only RV0, such as the MCS index of {0, 1, 2} in the table; since the target code rate is relatively low, the target code rate is lower than or very close to the code rate of the mother code of the code rate of the mother code (the above code rate of mother code is the base graph 2), the above code rate of mother code is equal to 1/5=0.2. Moreover, the redundancy version of the MCS corresponding to the target code rate of {308, 449, 378, 490, 466}/1024 is only {RV0, RV2}. The redundancy version of the MCS corresponding to the target code rate of {602, 616, 567, 666, 466}/1024 may be {RV0, RV2}.It may be considered that the above Δb and Δc are equal to 0.05 and 0.06, respectively.

[0104] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 is 3 or 4. In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 and RV2 is 4 or 5. This embodiment further provides one MCS table example, which includes the following fields: the MCS index, the modulation order, the target code rate, the spectral efficiency, and the redundancy version (RV) number, which is shown in table 2-4.
Table 2-4 MCS table example 4
MCS Index IMCSModulation Order QmTarget code Rate x [1024] RSpectral efficiencyRedundancy Version rvidx
0 2 40 0.0781 0
1 2 78 0.1523 0
2 2 120 0.2344 0
3 2 193 0.3770 0
4 2 308 0.6016 0
5 2
6 2 449 0.8770 0
7 2
8 2 602 1.1758 0
9 2
10 3
11 1
12 4 378 1.4766 0
13 2
14 4 490 1.9141 0
15 2
16 4 616 2.4063 0
17 2
18 3
19 1
20 6 466 2.7305 0
21 2
22 6 567 3.3223 0
23 2
24 3
25 6 666 3.9023 0
26 2
27 3
28 1
29 2 reserved 2
30 4 reserved 2
31 6 reserved 2


[0105] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, a target code rate of MCS with an 0 index is 80/1024; and/or a target code rate of MCS with an 1 index is 156/1024.In an embodiment, the modulation order indicated by one MCS level 0 and MCS level 1 is equal to 1.

[0106] In an embodiment, determining the modulation order and the target code rate from the MCS table according to the modulation and coding scheme (MCS) field information also includes: when the target block error rate (BLER) indicated by higher layer signaling is not equal to 0.1, the modulation order, the target code rate and the redundancy version number are determined from the MCS table according to the MCS field information. This embodiment provides an MCS table, which corresponds to a maximum modulation order of 6, and is used for a signal waveform of cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM), as shown in Table 2-5 or Table 2-6. An MCS table is provided for a signal waveform of transform pre-coding OFDM or discrete Fourier transform spread spectrum OFDM, which may be used for determining the modulation order and the target code rate of the PUSCH, as shown in Table 2-7 or table 2-8. MCS table examples shown in Table 2-5 and Table 2-6 correspond to a 5-bit indication, MCS table examples shown in Table 2-7 and Table 2-8 correspond to a 4-bit indication.
Table 2-5 MCS table example 5
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 2 40 0.0781
1 2 59 0.1152
2 2 78 0.1523
3 2 99 0.1934
4 2 120 0.2344
5 2 157 0.3066
6 2 193 0.3770
7 2 251 0.4902
8 2 308 0.6016
9 2 379 0.7402
10 2 449 0.8770
11 2 526 1.0273
12 2 602 1.1758
13 2 679 1.3262
14 4 340 1.3281
15 4 378 1.4766
16 4 434 1.6953
17 4 490 1.9141
18 4 553 2.1602
19 4 616 2.4063
20 4 658 2.5703
21 6 438 2.5664
22 6 466 2.7305
23 6 517 3.0293
24 6 567 3.3223
25 6 616 3.6094
26 6 666 3.9023
27 reserved reserved reserved
28 reserved reserved reserved
29 2 reserved
30 4
31 6
Table 2-6 MCS table example 6
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 1 80 0.0781
1 1 118 0.1152
2 1 156 0.1523
3 1 198 0.1934
4 2 120 0.2344
5 2 157 0.3066
6 2 193 0.3770
7 2 251 0.4902
8 2 308 0.6016
9 2 379 0.7402
10 2 449 0.8770
11 2 526 1.0273
12 2 602 1.1758
13 2 679 1.3262
14 4 340 1.3281
15 4 378 1.4766
16 4 434 1.6953
17 4 490 1.9141
18 4 553 2.1602
19 4 616 2.4063
20 4 658 2.5703
21 6 438 2.5664
22 6 466 2.7305
23 6 517 3.0293
24 6 567 3.3223
25 6 616 3.6094
26 6 666 3.9023
27 reserved reserved reserved
28 1 reserved
29 2
30 4
31 6
Table 2-7 MCS table example 7
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 2 40 0.0781
1 2 78 0.1523
2 2 120 0.2344
3 2 193 0.3770
4 2 308 0.6016
5 2 449 0.8770
6 2 602 1.1758
7 4 378 1.4766
8 4 490 1.9141
9 4 616 2.4063
10 6 466 2.7305
11 6 567 3.3223
12 6 666 3.9023
13 2 reserved
14 4
15 6
Table 2-8 MCS table example 8
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 1 80 0.0781
1 1 156 0.1523
2 2 120 0.2344
3 2 193 0.3770
4 2 308 0.6016
5 2 449 0.8770
6 2 602 1.1758
7 4 378 1.4766
8 4 490 1.9141
9 4 616 2.4063
10 6 466 2.7305
11 6 567 3.3223
12 6 666 3.9023
13 2 reserved
14 4
15 6


[0107] When target BLER field signaling BLER-Target indicates that the target BLER is not equal to 0.1, a first MCS table is selected from the multiple MCS tables as the MCS table, where the MCS table corresponds to the MCS table in which the target BLER is not equal to 0.1 (or is applied to an ultra reliable and low latency communication MCS table).

[0108] The modulation order and the target code rate is determined from an MCS table according to the MCS field information, an intermediate number Ninfo of information bits at least is calculated according to a total number of resource elements, the modulation order and the target code rate; the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info; one TBS from a one-dimensional TBS table is selected according to the quantized intermediate number N'info.

[0109] In an embodiment, the first MCS table at least includes the following fields: the MCS index, the modulation order and a spectral efficiency, where the maximum target code rate of MCS having a modulation order of 1 is Se in the MCS table, Se is equal to a sum of the code rate of the mother code and ΔSe, ΔSe is a real number ranges from -0.05 and 0.03. In this embodiment, the code rate of the mother code is equal to the code rate of the mother code of the base graph 2 of the LDPC coding, which is equal to 0.2.

[0110] In an embodiment, the multiple MCS tables include: the MCS table with a maximum modulation order of 6 (corresponding to 64QAM), the MCS table with a maximum modulation order of 8 (corresponding to 256QAM), and the first MCS table. The MCS table with the maximum modulation order of 6 (corresponding to 64QAM) and the MCS table with the maximum modulation order of 8 (corresponding to 256QAM) correspond to a target BLER which is equal to 0.1, and the first MCS table corresponds to a target BLER which is not equal to 0.1. In an embodiment, the MCS table with the maximum modulation order of 6 is as shown in Table 1-2 of exemplary embodiment one, and the MCS table with the maximum modulation order of 8 is as shown in the table 1-3 in exemplary embodiment 1, the first MCS table is shown in Table 2-6.In the first MCS table, the maximum spectral efficiency of the MCS with modulation order of 1 is less than 0.20.

[0111] Performance diagrams shown in FIGS. 4A and 4B correspond to performance diagrams of BLER which is equal to 1E-3 (0.001) and 1E-5 (0.00001). In the above performance diagrams, the vertical ordinate is an efficiency value (corresponding to efficiency in the CQI table, corresponding to a spectral efficiency in the MCS table), and a row coordinate refers to a required signal-to-noise ratio in the corresponding BLER (FIG. 4A is 1E-3 and FIG. 4B is 1E-5). It can be seen that performance of QPSK and BPSK with the efficiency (or the spectral efficiency) below 0.2 are about the same. Because the BPSK has a better peak to average power ratio (PAPR), the BPSK has better performance coverage under the low spectrum efficiency.

[0112] This embodiment provides an MCS example, as shown in Table 2-9, the above MCS table includes the following fields: the MCS index, the modulation order, the target code rate, and the spectral efficiency; where the corresponding maximum target code rate of the MCS having the modulation order of 1 is 240/1024, and the corresponding MCS index is 4. The maximum spectral efficiency corresponding to the MCS with modulation order 1 is 0.2344. The number of MCSs with modulation order of 1 is 5. The number of MCSs having the modulation order of 1 is not limited to 4 and 5 described above, and the number of MCSs having the modulation order of 1 may be equal to 6, 7, 8, 9 or 10.
Table 2-9 MCS table example
MCS Index IMCSModulation Order QmTarget code rate x 1024Spectral efficiency
0 1 80 0.0781
1 1 118 0.1152
2 1 156 0.1523
3 1 198 0.1934
4 1 240 0.2344
5 2 157 0.3066
6 2 193 0.3770
7 2 251 0.4902
8 2 308 0.6016
9 2 379 0.7402
10 2 449 0.8770
11 2 526 1.0273
12 2 602 1.1758
13 2 679 1.3262
14 4 340 1.3281
15 4 378 1.4766
16 4 434 1.6953
17 4 490 1.9141
18 4 553 2.1602
19 4 616 2.4063
20 4 658 2.5703
21 6 438 2.5664
22 6 466 2.7305
23 6 517 3.0293
24 6 567 3.3223
25 6 616 3.6094
26 6 666 3.9023
27 reserved reserved reserved
28 1 reserved
29 2
30 4
31 6


[0113] This embodiment provides an MCS example, which is shown in Table 2-10.
Table 2-10 MCS table example
MCS Index IMCSModulation Order QmTarget code Rate x [1024] RSpectral efficiencyRedundancy Version rvidx
0 2 40 0.0781 0
1 2 78 0.1523 0
2 2 120 0.2344 0
3 2 193 0.3770 0
4 2 308 0.6016 0
5 2 449 0.8770 0
6 2
7 4 378 1.4766 0
8 2
9 4 616 2.4063 0
10 2
11 6 567 3.3223 0
12 2
13 2 reserved 3
14 4 reserved 2
15 6 reserved 1

Exemplary embodiment three



[0114] A data communication processing method, applied to a communication device or a UE, includes: receiving control information from a wireless communication node, the wireless communication node includes a base station (BS), and the control information is downlink control information (DCI). The control information at least includes: modulation and coding scheme (MCS) field information; the MCS field information is applied to determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculate an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; select one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0115] The UE demodulates and decodes data from the base station according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data to the base station.

[0116] In an embodiment, the MCS table is as follows, an MCS table example is at least one of Table 3-1 and Table 3-2, where the MCS table at least includes an MCS having a modulation order of 1. An MCS table example 3-1 is a 5-bit (32 states, i.e., 32 MCS levels) MCS table. In the MCS table, there are 4 MCSs having the modulation order of 1. An MCS table example 3-2 is 4-bit (16 states, i.e., there are 16 MCS levels) MCS table, in the above MCS table, there are 2 MCSs having the modulation order of 1.
Table 3-1 MCS table example 3-1
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 1 80 0.0781
1 1 118 Average
2 1 156 0.1523
3 1 198 Average
4 2 120 0.2344
5 2 157 Average
6 2 193 0.3770
7 2 251 Average
8 2 308 0.6016
9 2 379 Average
10 2 449 0.8770
11 2 526 Average
12 2 602 1.1758
13 2 679 Average
14 4 340 Average
15 4 378 1.4766
16 4 434 Average
17 4 490 1.9141
18 4 553 Average
19 4 616 2.4063
20 4 658 Average
21 6 438 Average
22 6 466 2.7305
23 6 517 Average
24 6 567 3.3223
25 6 616 Average
26 6 666 3.9023
27 reserved reserved reserved
28 1 reserved
29 2
30 4
31 6
Table 3-2 MCS table example 3-2
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 1 80 0.0781
1 1 156 0.1523
2 2 120 0.2344
3 2 193 0.3770
4 2 308 0.6016
5 2 449 0.8770
6 2 602 1.1758
7 4 378 1.4766
8 4 490 1.9141
9 4 616 2.4063
10 6 466 2.7305
11 6 567 3.3223
12 6 666 3.9023
13 2 reserved
14 4
15 6


[0117] In this embodiment, the MCS table may also be described as follows. The MCS table includes at least one of the following features: the target code rate corresponding to the MCS having the modulation order of 1 in the above-mentioned MCS table at least includes one of the following values: 108, 150, 192, and 265, and at least includes one of the following values: 80, 118, 156, and 198. This embodiment provides an MCS table example as shown in Table 3-3. The MCS table at least includes an MCS having the modulation order of 1 and the maximum modulation order is 6. The maximum modulation order of the MCS table may also be equal to 4 or 8.
Table 3-3 MCS table example 3-3
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 1 80 0.0781
1 1 108 0.1055
2 1 150 0.1465
3 1 192 0.1875
4 2 54 0.1055
5 2 75 0.1465
6 2 96 0.1875
7 2 133 0.2588
8 2 169 0.3301
9 2 227 0.4424
10 2 284 0.5547
11 2 355 0.6924
12 2 425 0.8301
13 2 502 0.9795
14 4 340 Average
15 4 378 1.4766
16 4 434 Average
17 4 490 1.9141
18 4 553 Average
19 4 616 2.4063
20 4 658 Average
21 6 438 Average
22 6 466 2.7305
23 6 517 Average
24 6 567 3.3223
25 6 616 Average
26 6 666 3.9023
27 reserved reserved reserved
28 1 reserved
29 2
30 4
31 6


[0118] In this embodiment, the MCS table may also be described as follows. The MCS table includes at least one of the following features: the target code rate corresponding to the MCS having the modulation order of 1 in the above-mentioned MCS table at least includes one of the following values: 60, 108, 140, 172 and 212 and at least includes one of the following values: 80, 200, 128, 154 and 40. This embodiment provides an MCS table example as shown in Table 3-4. The MCS table at least includes an MCS having the modulation order of 1 and the maximum modulation order is 4. The maximum modulation order of the MCS table may also be equal to 6 or 8.
Table 3-4 MCS table example 3-4
MCS Index IMCSModulation Order Qmcode rate x 1024efficiency
0 1 60 0.0586
1 1 80 0.0781
2 1 108 0.1055
3 1 140 0.1367
4 2 30 0.0586
5 2 40 0.0781
6 2 54 0.1055
7 2 70 0.1367
8 2 86 0.1680
9 2 106 0.2061
10 2 125 0.2441
11 2 150 0.2930
12 2 175 0.3418
13 2 206 0.4014
14 2 236 0.4609
15 2 273 0.5322
16 2 309 0.6035
17 2 350 0.6826
18 2 390 0.7617
19 2 435 0.8496
20 2 480 0.9375
21 2 528 1.0313
22 2 576 1.1250
23 2 604 1.1797
24 4 316 1.2344
25 4 351 1.3691
26 4 385 1.5039
27 4 422 1.6465
28 4 458 1.7891
29 2  
30 4
31 6

Exemplary embodiment four



[0119] A data communication processing method, applied to a wireless communication node (a base station), includes: generating control information of a communication device related to a wireless communication node, the control information at least includes modulation and coding scheme (MCS) field information; the MCS field information is applied to determine the modulation order and the target code rate from an MCS table according to the MCS field information, calculate an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info ; select one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0120] The wireless communication node demodulates and decodes data from the communication device (or the UE) according to the TBS to obtain received data with a size of TBS; or performs low density parity check code (LDPC) encoding on information bits data of a length of TBS to obtain the encoded data, and sends the encoded data and the control information to the communication device (or the UE); or sends the control information to the communication device (or the UE).

[0121] The quantization calculation is performed on the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info, as the quantization method described above in exemplary embodiment 1, which will not be repeated here. And in the determining the modulation order and the target code rate from the MCS table according to the MCS field information, the above MCS table is as the MCS table in exemplary embodiment 2 or exemplary embodiment 3, which will not be repeated here.

Embodiment two



[0122] The embodiment further provides a data communication processing device. The device is used for implementing the embodiments described above and exemplary embodiments. What has been described will not be repeated. As used below, the term "module" may be software, hardware or a combination thereof capable of implementing predetermined functions. The device described below in the embodiment may be implemented by software, but implementation by hardware or by a combination of software and hardware is also possible and conceived.

[0123] FIG. 5 is a structural block diagram of a data communication processing device provided by an embodiment. As shown in FIG. 5, the device includes a first acquisition module 52, a calculation module 54, a second acquisition module 56 and a first determination module 58 described below.
  1. 1) A first acquisition module 52 is configured to acquire a modulation order and a target code rate.
  2. 2) A calculation module 54 is configure to calculate an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate.
  3. 3) The second acquisition module 56 is configured to quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info.
  4. 4) The first determination module 58 is configured to determine a transport block size (TBS) according to the quantized intermediate number N'info.


[0124] In an embodiment, the first determination module 58 is configured to select a TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0125] Through the device shown in FIG. 5, the modulation order and the target code rate are acquired, the intermediate number Ninfo of the information bits at least according to the total number of resource elements, the modulation order and the target code rate are calculated; the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info; and the transport block size (TBS) is determined according to the quantized intermediate number N'info. The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

[0126] In an embodiment, the first acquisition module 52 is configured to receive control information from a wireless communication node, where the control information includes at least: modulation and coding scheme (MCS) field information; and determining the modulation order and the target code rate from the MCS table according to the MCS field information, which solves the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate being greater than 0.95.

[0127] The embodiment further provides another data communication processing device. The device is configured to implement the embodiments described above and exemplary embodiments. What has been described will not be repeated. As used below, the term "module" may be software, hardware or a combination thereof capable of implementing predetermined functions. The device described below in the embodiments is implemented by software, but implementation by hardware or by a combination of software and hardware is also possible and conceived.

[0128] FIG. 6 is a structural block diagram of another data communication processing device provided by an embodiment. The device is applied to a terminal. As shown in FIG. 6, the device includes a second determination module 62, a second calculation module 64, a third acquisition module 66 and a third determination module 68 described below.
  1. 1) The second determination module 62 is configured to determine a modulation order and a target code rate.
  2. 2) The second calculation module 64 is configure to calculate an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate.
  3. 3) The third acquisition module 66 is configured to quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info.
  4. 4) The third determination module 68 is configured to determine a transport block size (TBS) according to the quantized intermediate number N'info.


[0129] In an embodiment, the third determination module 68 is configured to select a TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.

[0130] Through FIG. 6, the modulation order and the target code rate are determined, the intermediate number Ninfo of the information bits is calculated at least according to the total number of resource elements, the modulation order and the target code rate; the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info; and the transport block size (TBS) is determined according to the quantized intermediate number N'info. The problem that the communication system in the related art cannot effectively support low-latency and high-reliability communication is solved, and the technical effect of low-latency and high-reliability communication between the base station and the terminal is achieved.

[0131] In an embodiment, the second determination module 62 is configured to generate control information of a communication device related to a wireless communication node, where the control information at least includes: modulation and coding scheme (MCS) field information; determine the modulation order and the target code rate from an MCS table according to the MCS field information, which solves the problem that the TBS calculated at a higher MCS level in the related art leads to the actual effective code rate being greater than 0.95.

[0132] In an embodiment, the step in which the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info includes: quantizing the intermediate number Ninfo according to the following formula:

where the Offset is determined according to the intermediate number Ninfo, and n = max(3,└log2(Ninfo)┘ - 6).

[0133] In an embodiment, the step in which the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info includes: quantizing the intermediate number Ninfo according to the following formula

where the Offset is determined according to the intermediate number Ninfo, and n = max(3,└log2(Ninfo)┘ - 6).

[0134] In an embodiment, the Offset is equal to a positive integer times an nth power of 2, n = max(3,└log2(Ninfo)┘ - 6), the positive integer is equal to 1, 2, 3, 4, 5 or 6.

[0135] In an embodiment, the step in which the intermediate number Ninfo of the information bits is quantized to obtain the quantized intermediate number N'info includes: quantizing the intermediate number Ninfo according to the following formula

or

where n = max(3,└log2(Ninfo)┘- 6) , α is equal to 1, 2, 3, 4, 5 or 6.

[0136] In an embodiment, the intermediate number Ninfo of the information bits is less than or equal to a preset threshold, where the preset threshold is equal to 3824, 3816, 3840, or 3896.

[0137] In an embodiment, the above device further includes: a table determination module, which is configured to determine the MCS table from multiple MCS tables according to higher layer signaling.

[0138] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, and a target code rate. Where a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, where Δa is a real number ranges -0.08 from 0.08.

[0139] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table includes at least the following fields: an MCS index, a modulation order, a target code rate and a spectral efficiency, where a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0, and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2. Where Δs is a real number greater than 0.65 and less than 0.85.

[0140] In an embodiment, the multiple MCS tables at least includes one MCS table, where the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; where in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a mother code and Δb is only RV0, where Δb is a positive real number less than or equal to 0.1.

[0141] In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc includes: {RV0,RV2}, where Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1.

[0142] In an embodiment, in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc includes: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, where Δc is a positive real number less than or equal to 0.1.

[0143] In an embodiment, the code rate of the mother code is equal to 0.2.

[0144] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 is 3 or 4.

[0145] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, the number of MCS only supports RV0 and RV2 is 4 or 5.

[0146] In an embodiment, the multiple MCS tables at least includes one MCS table, where in one MCS table, a target code rate of MCS with an 0 index is 80/1024; and/or a target code rate of MCS with an 1 index is 156/1024.

[0147] In an embodiment, the multiple MCS tables include at least one MCS table, where the one MCS table includes at least the following fields: an MCS index, the modulation order, the target code rate and a redundancy version number.

[0148] In an embodiment, the MCS table at least includes the following fields: the MCS index and the modulation order, the number of MCSs having a modulation order of 1 is 4, 5 and 6.

[0149] In an embodiment, the MCS table at least includes the following fields: the MCS index, the modulation order and the target code rate, the maximum target code rate of MCS having a modulation order of 1 is 198/1024 or 240/1024.

[0150] In an embodiment, the MCS table at least includes the following fields: the MCS index and the spectral efficiency, the maximum target code rate of MCS having a modulation order of 1 is 0.1934 or 0.2344.

[0151] The various modules described above may be implemented by software or hardware. Implementation by hardware may, but may not necessarily, be performed in the following manner: the various modules described above are located in a same processor or located in different processors in any combination form.

Embodiment three



[0152] An embodiment of the present disclosure further provides a storage medium. The storage medium is configured to store computer programs which, when run, execute the steps of any one of the above-mentioned method embodiments.

[0153] In this embodiment, the storage medium may be configured to store computer programs for executing the following steps:
acquiring a modulation order and a target code rate; calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info ; determining a transport block size (TBS) according to the quantized intermediate number N'info.

[0154] In an embodiment, the storage medium is further configured to store computer programs for executing the following steps: determining a modulation order and a target code rate; calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number N'info of the information bits to obtain the quantized intermediate number N'info; and determining a transport block size (TBS) according to the quantized intermediate number N'info.

[0155] In an embodiment, the storage medium described above may include, but is not limited to, a USB flash disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, an optical disk or another medium capable of storing computer programs.

[0156] An embodiment of the present disclosure further provides an electronic apparatus, including a memory and a processor, where the memory is configured to store computer programs and the processor is configured to execute the computer programs for executing the steps in any one of the method embodiments described above.

[0157] In one embodiment, the electronic device described above may further include a transmission device and an input/output device, where both the transmission device and the input/output device are connected to the processor described above.

[0158] In an embodiment, the processor may be further configured to store computer programs for executing the following steps: acquiring a modulation order and a target code rate; calculating a intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; determining a transport block size (TBS) according to the quantized intermediate number N'info.

[0159] In an embodiment, the electronic device is further configured to store computer programs for executing the following steps: determining a modulation order and a target code rate; calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate; quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; and determining a transport block size (TBS) according to the quantized intermediate number N'info.

[0160] For specific examples in the embodiment, reference may be made to the examples described in the embodiments and exemplary implementation modes described above, and the examples will not be repeated in the embodiment.

[0161] At least one module or at least one step of the present disclosure described in above embodiments may be implemented by a general computing apparatus, and the at least one module or at least one step described above may be concentrated on a single computing apparatus or distributed on a network composed of multiple computing apparatuses.

[0162] In an embodiment, at least one module or at least one step may be implemented by program codes executable by the computing apparatuses, so that they may be stored in a storage apparatus to be executed by the computing apparatuses. In some circumstances, the illustrated or described steps may be executed in sequences different from those described herein, or the at least one module or at least one step may be separately made into at least one integrated circuit module, or multiple modules or steps therein may be made into a single integrated circuit module for implementation. In this way, the present disclosure is not limited to any specific combination of hardware and software.


Claims

1. A data communication processing method, applied to a communication device, comprising:

acquiring a modulation order and a target code rate;

calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate;

quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info;

determining a transport block size (TBS) according to the quantized intermediate number N'info.


 
2. The method of claim 1, wherein the acquiring the modulation order and the target code rate comprises:

receiving control information from a wireless communication node, wherein the control information at least comprises: modulation and coding scheme (MCS) field information; and

determining the modulation order and the target code rate from an MCS table according to the MCS field information.


 
3. The method of claim 1, wherein the determining the TBS according to the quantized intermediate number N'info comprises:
selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info .
 
4. The method of claim 1, wherein the quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info comprises:
quantizing the intermediate number Ninfo according to the following formula:

wherein the Offset is determined by the intermediate number Ninfo, and n = max(3,└log2(Ninfo)┘ - 6).
 
5. The method of claim 1, wherein the quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info comprises:
quantizing the intermediate number Ninfo according to the following formula:

wherein the Offset is determined by the intermediate number Ninfo, n = max(3,└log2(Ninfo)┘ - 6).
 
6. The method of claim 4 or 5, wherein the Offset is equal to a positive integer times an n-th power of 2, n = max(3,└log2(Ninfo)┘ - 6), and the positive integer is equal to 1, 2, 3, 4, 5 or 6.
 
7. The method of claim 1, wherein the quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info comprises:
quantizing the intermediate number Ninfo according to the following formula:

or

wherein n = max(3,└log2(Ninfo)┘ - 6), α is equal to 1, 2, 3, 4, 5 or 6.
 
8. The method of any one of claims 1 to 6, wherein the intermediate number of the information bits is less than or equal to a preset threshold, wherein the preset threshold is equal to 3824, 3816, 3840 or 3896.
 
9. The method of claim 2, further comprising:
determining the MCS table from a plurality of MCS tables according to higher layer signaling.
 
10. The method of claim 9, wherein the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate;
wherein a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of a mother code and Δa, wherein Δa is a real number greater than -0.08 and less than 0.08.
 
11. The method of claim 9, wherein
the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, a target code rate and a spectral efficiency;
wherein a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0; and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2, wherein Δs is a real number greater than 0.65 and less than 0.85.
 
12. The method of claim 9, wherein
the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate;
wherein in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a code rate of a mother code and Δb is only RV0, wherein Δb is a positive real number less than or equal to 0.1.
 
13. The method of claim 12, wherein
in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the code rate of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc comprises: {RV0,RV2}, wherein Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1.
 
14. The method of claim 13, wherein
in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc comprises: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, wherein Δc is a positive real number less than or equal to 0.1.
 
15. The method of any one of claims 10, 12 to 14, wherein the code rate of the mother code is equal to 0.2.
 
16. The method of claim 2, wherein the MCS table comprises at least the following fields: an MCS index, the modulation order and the target code rate;
wherein a maximum target code rate corresponding to the MCS having a modulation order of 1 is a ratio of 198 to 1024, or a ratio of 240 to 1024.
 
17. A data communication processing method, applied to a radio communication node, comprising:

determining a modulation order and a target code rate;

calculating an intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate;

quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info;

determining a transport block size (TBS) according to the quantized intermediate number N'info.


 
18. The method of claim 17, wherein the determining the modulation order and the target code rate comprises:

generating control information of a communication device related to a wireless communication node, wherein the control information at least comprises: modulation and coding scheme (MCS) field information;

determining the modulation order and the target code rate from an MCS table according to the MCS field information.


 
19. The method of claim 17, wherein the determining the TBS according to the quantized intermediate number N'info comprises:
selecting one TBS from a one-dimensional TBS table according to the quantized intermediate number N'info.
 
20. The method of claim 17, wherein the quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info comprises:
quantizing the intermediate number Ninfo according to the following formula:

wherein the Offset is determined by the intermediate number Ninfo, and n = max(3,└log2(Ninfo)┘ - 6).
 
21. The method of claim 17, wherein the quantizing the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info comprises:
quantizing the intermediate number Ninfo according to the following formula:

wherein the Offset is determined by the intermediate number Ninfo, n = max(3,└log2(Ninfo)┘ - 6).
 
22. The method of claim 20 or 21, wherein the Offset is equal to a positive integer times an nth power of 2, n = max(3,└log2(Ninfo)┘ - 6), and the positive integer is equal to 1, 2, 3, 4, 5 or 6.
 
23. The method of claim 17, wherein the quantizing and calculating the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info comprises:
quantizing the intermediate number Ninfo according to the following formula:

or

wherein n = max(3,└log2(Ninfo)┘ - 6), α is equal to 1, 2, 3, 4, 5 or 6.
 
24. The method of any one of claims 17 to 23, wherein the intermediate number of the information bits is less than or equal to a preset threshold, wherein the preset threshold is equal to 3824, 3816, 3840 or 3896.
 
25. The method of claim 18, further comprising:
determining the MCS table from a plurality of MCS tables according to higher layer signaling.
 
26. The method of claim 25, wherein the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate;
wherein a maximum target code rate among all MCSs having a modulation order of 1 in the one MCS table is equal to a sum of a code rate of mother code and Δa, wherein Δa is a real number ranges -0.08 from 0.08.
 
27. The method of claim 25, wherein
the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, a target code rate and a spectral efficiency;
wherein a redundancy version corresponding to an MCS with the spectral efficiency less than Δs in the one MCS table is only RV0; and redundancy versions corresponding to an MCS with the spectral efficiency greater than Δs in the one MCS table are only RV0 and RV2; wherein Δs is a real number greater than 0.65 and less than 0.85.
 
28. The method of claim 25, wherein
the plurality of MCS tables at least comprises one MCS table, wherein the one MCS table comprises at least the following fields: an MCS index, a modulation order, and a target code rate; wherein in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is less than a sum of a mother code and Δb is only RV0, wherein Δb is a positive real number less than or equal to 0.1.
 
29. The method of claim 28, wherein
in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of the mother code and Δb, and is less than a sum of twice of the code rate of the mother code and Δc comprises: {RV0,RV2}, wherein Δb is a positive real number less than or equal to 0.1, and Δc is a positive real number less than or equal to 0.1.
 
30. The method of claim 29, wherein
in the one MCS table, a redundancy version corresponding to an MCS in which the target code rate is greater than the sum of twice of the code rate of the mother code and Δc comprises: {RV0, RV2, RV3}, {RV0, RV2, RV1} or {RV0, RV2, RV3, RV1}, wherein Δc is a positive real number less than or equal to 0.1.
 
31. The method of any one of claims 26, 28 to 30, wherein the code rate of the mother code is equal to 0.2.
 
32. The method of claim 18, wherein the MCS table comprises at least the following fields: an MCS index, the modulation order and the target code rate;
wherein a maximum target code rate corresponding to the MCS having a modulation order of 1 is a ratio of 198 to 1024, or a ratio of 240 to 1024.
 
33. A data communication processing device, applied to a base station, comprising:

a first acquisition module, which is configured to acquire a modulation order and a target code rate;

a calculation module, which is configure to calculate a intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate;

a second acquisition module, which is configured to quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; and

a determination module, which is configured to determine a transport block size (TBS) according to the quantized intermediate number N'info.


 
34. A data communication processing device, applied to a terminal, comprising:

a first determination module, which is configured to determine a modulation order and a target code rate;

a calculation module, which is configure to calculate a intermediate number Ninfo of information bits at least according to a total number of resource elements, the modulation order and the target code rate;

an acquisition module, which is configured to quantize the intermediate number Ninfo of the information bits to obtain the quantized intermediate number N'info; and

a second determination module, which is configured to determine a transport block size (TBS) according to the quantized intermediate number N'info.


 
35. A storage medium, which is configured to store computer programs which, when executed, perform the method of any one of claims 1 to 16 or 17 to 32.
 
36. An electronic apparatus, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the method according to any one of claims 1 to 16 or 17 to 32.
 




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Cited references

REFERENCES CITED IN THE DESCRIPTION



This list of references cited by the applicant is for the reader's convenience only. It does not form part of the European patent document. Even though great care has been taken in compiling the references, errors or omissions cannot be excluded and the EPO disclaims all liability in this regard.

Patent documents cited in the description