CN108809591B

CN108809591B - Data processing method and device

Info

Publication number: CN108809591B
Application number: CN201710313982.3A
Authority: CN
Inventors: 杜白; 彭金磷; 董朋朋; 张鹏
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2017-05-05
Filing date: 2017-05-05
Publication date: 2021-03-30
Anticipated expiration: 2037-05-05
Also published as: CN108809591A; WO2018201915A1

Abstract

The application provides a data processing method and a data processing device, wherein a first device determines the number C of CBs obtained after the TB is subjected to CB segmentation according to the size of the TB, determines the number of CBs included in each CBG according to the number of CBGs and the number of CBs included in the TB acquired in advance, determines the number of time domain symbols used for bearing data of each CBG in a first time-frequency resource according to the number of the CB included in each CBG and the number of time domain symbols in the first time-frequency resource, and finally maps the data of each CBG to the first time-frequency resource according to the number of the time domain symbols used for bearing the data of each CBG. Thereby enabling to ensure that each CBG is mapped onto one or more complete time domain symbols. Because the data of each CBG is mapped to one or more complete time domain symbols, the data of two CBGs on one time domain symbol cannot appear, when URLLC service data occupies time-frequency resources of eMBB service data, the resources occupying a certain time domain symbol only affect the transmission of a certain CBG, but do not affect the transmission of two CBGs simultaneously, and therefore the transmission efficiency of the eMBB service data can be effectively improved.

Description

Data processing method and device

Technical Field

The present application relates to communications technologies, and in particular, to a data processing method and apparatus.

Background

The fifth Generation mobile communication (5th-Generation, 5G) system supports more services, for example, the 5G system supports enhanced mobile broadband (eMBB) service, high-reliability and low-latency communications (URLLC) service, and massive machine type communications (mtc) service. Different services have different requirements on a communication system, and how to better support the data transmission requirements of multiple different services simultaneously is a technical problem to be solved by a 5G system at present. For example, how to support URLLC service and eMBB service simultaneously is one of the hot spots for discussion of current 5G mobile communication systems.

The generation of data packets of URLLC traffic is bursty and random, and may not generate data packets for a long time or may generate multiple data packets for a short time. If the base station allocates resources for the URLLC service in a resource reservation manner, system resources are wasted when there is no URLLC service. The data volume of the eMBB service is relatively large, and the transmission rate is relatively high, and a relatively long time scheduling unit is usually adopted for data transmission to improve the transmission efficiency. In order to improve the resource utilization of the communication system, the base station usually does not reserve resources for the downlink data transmission of the URLLC service. When the URLLC service data reaches the base station, if there is no idle time-frequency resource, the base station cannot wait for the completion of the transmission of the eMBB service data scheduled this time and then schedule the URLLC service data in order to meet the ultra-short delay requirement of the URLLC service. The base station may allocate resources for URLLC service data in a preemption (preemption) manner. The preemption refers to that the base station selects part or all of the time-frequency resources for transmitting the URLLC service data from the allocated time-frequency resources for transmitting the eMBB service data, and the base station does not send the data of the eMBB service on the time-frequency resources for transmitting the URLLC service data.

In a scenario where the eMBB service and the URLLC service coexist, the base station needs to notify the terminal device of the occupied time-frequency resource (also referred to as the time-frequency resource of the puncture location). In the prior art, when a base station transmits downlink data, when a Transport Block (TB) is large, the base station divides the TB into a plurality of Code Blocks (CBs), divides the plurality of CBs into a plurality of Code Block Groups (CBGs), and maps each CBG to a time-frequency resource after encoding and modulating, but each CBG in the existing method cannot be mapped in a complete time-domain symbol. For example, when a resource of a time domain symbol is preempted by service data of a certain time domain symbol, the data carrying two CBGs at the same time may affect correct reception of the data of the two CBGs, which may cause retransmission of the data of the two CBGs, thereby reducing data transmission efficiency.

Disclosure of Invention

The application provides a data processing method and device, so that the transmission efficiency of eMBB service data can be effectively improved.

A first aspect of the present application provides a data processing method, including:

the method comprises the steps that first equipment determines the number C of CBs obtained after a code block CB is segmented for a transport block TB according to the size of the TB;

the first device determines the number of CBs included in each CBG according to the number of CBGs of the coding block group included in the TB and the number of CBs;

the first device determines, according to the number of CBs included in each CBG and the number of time domain symbols in a first time-frequency resource, the number of time domain symbols in the first time-frequency resource, which are used for carrying data of each CBG, where the first time-frequency resource is a time-frequency resource used for carrying data of the TB;

and the first device maps the data of each CBG to the first time-frequency resource according to the number of the time-domain symbols for carrying the data of each CBG.

In a possible implementation manner, the determining, by the first device, the number of time domain symbols used for carrying data of each CBG in the first time-frequency resource according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource includes:

the first device calculates the number of time domain symbols used for carrying the data of each CBG in the first time-frequency resource according to the following formula:

wherein N is_iRepresenting the number of time domain symbols, C, used for carrying the data of the ith CBG in the first time-frequency resource_iRepresenting the number of CBs included in the ith CBG, m representing the number of CBGs included in the TB, and N being the number of time domain symbols in the first time-frequency resourceNumber, floor, represents taking the largest integer no greater than the input value.

In a possible implementation manner, the determining, by the first device, the number of CBs included in each CBG according to the number of coding block groups CBG included in the TB and the number of CBs, which are obtained in advance, includes:

calculating a first parameter C according to the following formula_-：

Wherein C represents the number of CBs, m represents the number of CBGs included in the TB, floor represents the maximum integer not greater than the input value;

according to the first parameter C_-Calculating a second parameter Δ, Δ ═ C-mC_-；

Determining that first or last Δ CBGs of the m CBGs include C_-+1 CBs, the remaining CBG comprising C_-And (5) CB.

A second aspect of the present application provides a data processing method, including:

the second equipment receives a transport block TB sent by the first equipment;

the second equipment determines the number C of CBs obtained after the TB is segmented by the code blocks CB according to the size of the TB;

the second device determines the number of CBs included in each CBG according to the number of CBGs of the coding block group included in the TB and the number of CBs;

the second device determines, according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource, which are used for carrying data of each CBG, where the first time-frequency resource is a time-frequency resource used for carrying data of the TB;

and the second equipment decodes the data of each CBG from the first time-frequency resource according to the number of the time-domain symbols for carrying the data of each CBG.

In a possible implementation manner, the determining, by the second device, the number of time domain symbols used for carrying data of each CBG in the first time-frequency resource according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource includes:

the second device calculates the number of time domain symbols used for carrying the data of each CBG in the first time-frequency resource according to the following formula:

wherein N is_iRepresenting the number of time domain symbols, C, used for carrying the data of the ith CBG in the first time-frequency resource_iThe number of CBs included in the ith CBG is represented, m represents the number of CBGs included in the TB, N is the number of time domain symbols in the first time-frequency resource, and floor represents the maximum integer not greater than an input value.

In a possible implementation manner, the determining, by the second device, the number of CBs included in each CBG according to the number of CBGs included in the TB and the number of CBs included in the TB, where the number of CBGs includes:

calculating a first parameter C according to the following formula_-：

A third aspect of the present application provides a data processing apparatus comprising:

the segmentation module is used for determining the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of a transmission block TB;

the first determining module is used for determining the number of CBs included in each CBG according to the number of CBGs of the coding block group included in the TB and the number of CBs;

a second determining module, configured to determine, according to the number of CBs included in each CBG and the number of time domain symbols in a first time-frequency resource, the number of time domain symbols in the first time-frequency resource, where the first time-frequency resource is a time-frequency resource used for carrying data of the TB;

and a mapping module, configured to map the data of each CBG to the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG.

In a possible implementation manner, the second determining module is specifically configured to:

calculating the number of time domain symbols used for carrying the data of each CBG in the first time-frequency resource according to the following formula:

In a possible implementation manner, the first determining module is specifically configured to:

calculating a first parameter C according to the following formula_-：

Determining the first delta of the m CBGs orThe last Δ CBG includes C_-+1 CBs, the remaining CBG comprising C_-And (5) CB.

A fourth aspect of the present application provides a data processing apparatus comprising:

a receiving module, configured to receive a transport block TB sent by a first device;

the segmentation module is used for determining the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of the TB;

and a decoding module, configured to decode the data of each CBG from the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG.

calculating a first parameter C according to the following formula_-：

A fifth aspect of the present application provides a data processing apparatus, comprising a processor, a memory, and a communication interface, wherein the memory is configured to store instructions, the communication interface is configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory to perform the method described below, in particular:

the processor is configured to:

determining the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of a transmission block TB;

determining the number of CBs included in each CBG according to the number of CBGs of the coding block group included in the TB and the number of CBs;

determining the number of time domain symbols used for carrying the data of each CBG in the first time-frequency resource according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource, wherein the first time-frequency resource is a time-frequency resource used for carrying the data of the TB;

and mapping the data of each CBG to the first time-frequency resource according to the number of the time-domain symbols for carrying the data of each CBG.

In one possible implementation, the processor is specifically configured to:

In one possible implementation, the processor is specifically configured to: calculating a first parameter C according to the following formula_-：

A sixth aspect of the present application provides a data processing apparatus, comprising a processor, a memory and a communication interface, wherein the memory is configured to store instructions, the communication interface is configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory to perform the method described below, in particular:

the communication interface is used for receiving a transport block TB sent by the first equipment;

the processor is configured to:

determining the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of the TB;

and decoding the data of each CBG from the first time-frequency resource according to the number of the time-domain symbols for carrying the data of each CBG.

In one possible implementation, the processor is specifically configured to:

In one possible implementation, the processor is specifically configured to:

determining the number of CBs included in each CBG according to the number of CBGs included in the TB and the number of CBs, which are obtained in advance, and comprises the following steps:

calculating a first parameter C according to the following formula_-：

Determining that first or last Δ CBGs of the m CBGs include C_-+1 piecesCB, the remaining CBG including C_-And (5) CB.

In one possible implementation manner of the first to sixth aspects, the number C of CBs is the smallest integer that satisfies the following two conditions,

the first condition is as follows: c mod N is 0 or N mod C is 0, where N is the number of time domain symbols in the first time-frequency resource, and mod represents a remainder operation;

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

In one possible implementation manner of the first to sixth aspects, the number C of CBs is the smallest integer that satisfies the following three conditions,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

and (3) carrying out a third condition: c mod m is 0, where m is the number of CBGs included in the TB.

A seventh aspect of the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect and the various possible designs of the first aspect.

An eighth aspect of the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the second aspect and the various possible designs of the second aspect described above.

A ninth aspect of the present application provides a computer-readable storage medium having stored therein instructions which, when run on a computer, cause the computer to perform the method of the first aspect and the various possible designs of the first aspect described above.

A tenth aspect of the present application provides a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to perform the method of the second aspect and the various possible designs of the second aspect described above.

According to the data processing method and device provided by the application, the first equipment determines the number C of CBs obtained after the TB is subjected to CB segmentation according to the size of the TB, determines the number of CBs included in each CBG according to the number of CBGs and the number of CBs included in the TB, then determines the number of time domain symbols used for bearing the data of each CBG in the first time-frequency resource according to the number of the CBs included in each CBG and the number of time domain symbols in the first time-frequency resource, and finally maps the data of each CBG to the first time-frequency resource according to the number of the time domain symbols used for bearing the data of each CBG. Thereby enabling to ensure that each CBG is mapped onto one or more complete time domain symbols. Because the data of each CBG is mapped to one or more complete time domain symbols, the data of two CBGs on one time domain symbol cannot appear, when URLLC service data occupies time-frequency resources of eMBB service data, the resources occupying a certain time domain symbol only affect the transmission of a certain CBG, but do not affect the transmission of two CBGs simultaneously, and therefore the transmission efficiency of the eMBB service data can be effectively improved.

Drawings

Fig. 1 is a schematic architecture diagram of a communication system suitable for the present application;

fig. 2 is a schematic diagram of URLLC service data seizing time-frequency resources for transmitting eMBB service data;

FIG. 3 is a diagram illustrating a resource mapping according to the prior art;

FIG. 4 is a schematic diagram of a CBG map;

FIG. 5 is a flowchart of a data processing method according to an embodiment;

FIG. 6 is a flowchart of a data processing method according to the second embodiment;

FIG. 7 is a flowchart of a data processing method according to a third embodiment;

FIG. 8 is a flowchart of a data processing method according to the fourth embodiment;

FIG. 9 is a schematic structural diagram of a data processing apparatus according to a fifth embodiment;

FIG. 10 is a schematic structural diagram of a data processing apparatus according to a sixth embodiment;

fig. 11 is a schematic structural diagram of a data processing apparatus according to a seventh embodiment;

fig. 12 is a schematic structural diagram of a data processing apparatus according to an eighth embodiment.

Detailed Description

Fig. 1 is a schematic diagram of an architecture of a communication system to which the present invention is applicable, and as shown in fig. 1, the communication system includes an access network device and a terminal device, where the number of the terminal devices may be one or more. The communication system may be a Long Term Evolution (LTE) system, a 5G system, or a wireless-fidelity (WIFI) system. Correspondingly, the access network device may be an evolved NodeB (eNB) or a relay station in an LTE system, and may also be a base station in a 5G system, an Access Point (AP) in a WiFi system, and the like, which is not limited herein.

The Terminal device may also be referred to as a Terminal (Terminal), a User Equipment (UE), a Mobile Station (MS), a Mobile Terminal (MT), and the like. The terminal device may be a mobile phone (mobile phone), a tablet computer (Pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving (self driving), a wireless terminal in remote surgery (remote medical supply), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like, without limitation.

The access network device and the terminal device may communicate with each other through a licensed spectrum (licensed spectrum), may communicate with each other through an unlicensed spectrum (unlicensed spectrum), and may communicate with each other through both the licensed spectrum and the unlicensed spectrum. The access network device and the terminal device may communicate with each other through a spectrum of 6G or less, may communicate through a spectrum of 6G or more, and may communicate through a spectrum of 6G or less and a spectrum of 6G or more at the same time. The embodiment of the application does not limit the frequency spectrum resources used between the access network device and the terminal device.

In a 5G system, typical eMBB services are: ultra-high definition video, AR, VR, etc., which are mainly characterized by large transmission data volume and high transmission rate. Typical URLLC services are: the main characteristics of the services are ultra-high reliability, low time delay, less transmission data volume and burstiness. Typical mtc services are: the intelligent power distribution automation system has the main characteristics of huge quantity of networking equipment, small transmission data volume and insensitivity of data to transmission delay, and the mMTC terminals need to meet the requirements of low cost and very long standby time.

Different services have different requirements on a communication system, and how to better support the data transmission requirements of multiple different services simultaneously is a technical problem to be solved by a 5G system at present. For example, how to support URLLC service and eMBB service simultaneously is one of the hot spots for discussion of current 5G mobile communication systems.

The generation of data packets of URLLC traffic is bursty and random, and may not generate data packets for a long time or may generate multiple data packets for a short time. The data packets of URLLC traffic are in most cases small packets, e.g. 50 bytes. The characteristics of the data packets of URLLC traffic can affect the manner in which resources are allocated to the communication system. Resources herein include, but are not limited to: time domain symbols, frequency domain resources, time frequency resources, codeword resources, beam resources, and the like. The allocation of system resources is usually performed by a base station, and the base station is taken as an example for description below. If the base station allocates resources for the URLLC service in a resource reservation manner, system resources are wasted when there is no URLLC service. Moreover, the short delay characteristic of URLLC service requires that the data packet is transmitted in a very short time, so the base station needs to reserve a large enough bandwidth for URLLC service, which results in a serious decrease in the utilization rate of system resources.

The data volume of the eMBB service is relatively large, and the transmission rate is relatively high, and a relatively long time scheduling unit is usually adopted to perform data transmission to improve the transmission efficiency, for example, one time slot with a 15kHz subcarrier interval is adopted, which corresponds to 7 time domain symbols, and the corresponding time length is 0.5 ms. URLLC service data usually employs a shorter time scheduling unit to meet the requirement of ultra-short delay, for example, 2 time domain symbols at 15kHz subcarrier intervals are employed, or one time slot at 60kHz subcarrier intervals is employed, corresponding to 7 time domain symbols, and the corresponding time length is 0.125 ms.

Due to the burstiness of the data of the URLLC service, in order to improve the resource utilization rate of the communication system, the base station usually does not reserve resources for the downlink data transmission of the URLLC service. When the URLLC service data reaches the base station, if there is no idle time-frequency resource, the base station cannot wait for the completion of the transmission of the eMBB service data scheduled this time and then schedule the URLLC service data in order to meet the ultra-short delay requirement of the URLLC service. The base station may allocate resources for URLLC service data in a preemption (preemption) manner. The preemption refers to that the base station selects part or all of the time-frequency resources for transmitting the URLLC service data from the allocated time-frequency resources for transmitting the eMBB service data, and the base station does not send the data of the eMBB service on the time-frequency resources for transmitting the URLLC service data. Fig. 2 is a schematic diagram of preemption of time-frequency resources for transmitting eMBB service data by URLLC service data, where as shown in fig. 2, the horizontal axis represents time, the vertical axis represents frequency, a diagonally shaded region in fig. 2 is allocated time-frequency resources for transmitting eMBB service data, and a vertically shaded region is time-frequency resources for preemption by URLLC service data, that is, resources of the third and fourth time-domain symbols in one time slot are preempted by URLLC service data. As shown in fig. 2, the time-frequency resource occupied by URLLC service data is equivalent to a hole being punched in the time-frequency resource of eMBB service data, and therefore, the time-frequency resource occupied by URLLC service data is also referred to as a time-frequency resource of a punching position.

In a scenario where the eMBB service and the URLLC service coexist, the base station needs to notify the time-frequency resource of the punching position to the terminal device. If the existing resource mapping method is adopted, the indication of the time-frequency resource of the punching position is very complicated. In an LTE system, a base station takes a TB as a minimum data transmission unit, when the TB is large, the base station divides the TB into a plurality of CBs, adds CRC to each CB, and then transmits the CB after operations such as coding, rate matching, resource mapping and the like. Fig. 3 is a schematic diagram of a conventional resource mapping, where as shown in fig. 3, the horizontal axis represents a time domain and the vertical axis represents a frequency domain. The time domain shows the time domain resources allocated in the transmission process, specifically 1 slot (slot), where the slot includes 7 symbols, that is, 0-6 symbols; and the frequency domain shows the frequency domain resources allocated in the transmission process. Fig. 3 illustrates an example in which the TB transmitted in the current transmission process includes 6 CBs, namely, CBs 1 to 6. As shown in fig. 3, each CB occupies not a complete symbol after mapping to the time-frequency resource. The symbol in the present application refers to a time domain symbol, such as an Orthogonal Frequency Division Multiplexing (OFDM) symbol, unless otherwise specified.

In a scenario where the eMBB service and the URLLC service coexist, if a CB is mapped exactly on a symbol, the URLLC transmitted based on the symbol may only preempt one or more CBs, and the indication of the time-frequency resource of the puncture location may be simple. In the prior art, all CBs may also be divided into several CBGs, and if each CBG is encoded and modulated and then can be mapped to a time-frequency resource (CBG in box for short) corresponding to several complete symbols, it will bring much convenience to scheduling. For example, in a scenario where eMBB service and URLLC service coexist, if a CBG is just mapped in a micro slot (mini-slot), the URLLC sent based on the mini-slot may only preempt one CBG, and the indication of the time-frequency resource of the puncture location may be simple, where one mini-slot includes one or more time-domain symbols. In the method, only one CBG is mapped into one or more complete symbols, and each CB in the CBG may occupy the complete symbols or the incomplete symbols. FIG. 4 is a schematic diagram of a CBG map, as shown in FIG. 4, the TB is divided into three CBGs: CBG1, CBG2 and CBG3, TB occupies 7 symbols in total: symbol 0 to symbol 6, three CBGs all occupy the complete symbol, CBG1 occupies two symbols: symbol 0 and symbol 1, CBG2 occupy two symbols: symbol 2 and symbol 3, CBG3 occupy three symbols: symbol 4, symbol 5 and symbol 6. Wherein CBG1 includes two CBs: CB1 and CB2, CBG2 includes two CBs: CB3 and CB4, CBG3 includes two CBs: CB5 and CB6, CB1 occupies symbol 0, CB2 occupies symbol 1, CB3 occupies symbol 2, CB4 occupies symbol 3, CB5 occupies symbol 4 and part of symbol 5, and CB6 occupies part of the resources of symbol 5 and symbol 6.

A complete symbol as referred to in this application refers to a complete symbol within a resource allocated to a certain UE or a certain communication link or a certain data transmission, rather than a complete symbol on the system bandwidth. For example, the system bandwidth is 20MHz, and 10MHz is allocated to the UE. Then the integrity or not is only discussed on the allocated 10MHz resources. The effect described above may also be referred to as symbol alignment. If all the symbols are replaced by mini-slots, the method can also be called mini-slot alignment, or resource alignment in total. Sometimes, the number of CBGs included in the TB is greater than the number of resources, for example, the number of CBGs is greater than the number of symbols or the number of mini-slots, and the resource alignment indicates that only complete CBGs are included on one symbol or in one mini-slot.

It should be noted that the scheme of the present application may be applicable to downlink signal transmission, may also be applicable to uplink signal transmission, and may also be applicable to device-to-device (D2D) signal transmission. For downlink signal transmission, the sending device is an access network device, and the corresponding receiving device is a terminal device. For uplink signal transmission, the sending device is a terminal device, and the corresponding receiving device is an access network device. For D2D signaling, the sending device is a terminal device and the corresponding receiving device is also a terminal device. The transmission direction of the signal is not limited in the embodiments of the present application.

In order to solve the above problem, a first embodiment provides a data sending method, and fig. 5 is a flowchart of a data processing method provided by the first embodiment, as shown in fig. 5, the method provided by the present embodiment includes the following steps:

and S101, the first equipment determines the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of the TB.

In one data transmission process, The Size (TBs) of a TB is known, and the time domain resource allocated to the TB is also known, in this embodiment, the time frequency resource allocated to the TB is referred to as a first time frequency resource, and it is assumed that the first time domain resource includes N time domain symbols in the time domain, where N is a positive integer. The time domain symbol is the smallest resource unit in the time domain.

In this embodiment, the number C of CBs included in the TB is unknown, and in order to enable CBGs to be mapped onto complete time domain symbols, C needs to satisfy the condition that C mod N is 0, N is the number of time domain symbols in the first time-frequency resource, mod represents a remainder operation, for example, C is 4, and N is 2, then 4 CBs may be divided into two CBGs, and each CBG is mapped onto 1 time domain symbol. C mod N ═ 0 is applicable to the case where C is greater than or equal to N, and in practical applications C may be smaller than N, so when C is smaller than N, C needs to satisfy the condition N mod C ═ 0.

The maximum value Z of the size of the CB may be set to different values according to different encoding modes, for example, Z may be set to 6144 bits for turbo encoding, and Z may be set to 8192 bits for Low Density Parity Check (LDPC) encoding. Therefore, C should satisfy

Can be transformed to obtain

In summary, in an implementation manner, the number C of CBs is the minimum integer satisfying the following two conditions:

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

For example, TBS is 10000, N is 3, and Z is 8192, since

And C is an integer, so C.gtoreq.2. If C is 3, C mod N is 0, and if C is 2, neither C mod N is 0 nor N mod C is 0, and thus C may be determined to be 3.

Assuming that C CBs are divided into m CBGs, optionally, C needs to satisfy the condition: c mod m is 0, so in another implementation, the number C of CBs is the smallest integer that satisfies the following three conditions:

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

and (3) carrying out a third condition: c mod m is 0, where m is the number of CBGs included in TB.

It should be noted that, in this embodiment, it is described by taking N as an example of the number of time domain symbols in the first time-frequency resource, actually, N may also be the number of mini-slots in the first time-frequency resource, where the mini-slot is smaller than the length of one slot in the LTE system, and the time length of one slot in the LTE system is 0.5 milliseconds (ms), and then the time length of one mini-slot is smaller than 0.5 ms.

In addition, in this embodiment, how to perform TB segmentation is described by taking one TB as an example, actually, the method of this embodiment may also be applied to multiple TBs or a part of one TB, and when segmenting multiple TBs, the multiple TBs may be concatenated and then uniformly segmented, or each of the multiple TBs may be separately segmented.

Step S102, the first device determines the number of CBs included in each CBG according to the number of CBGs and the number of CBs included in the TB acquired in advance.

The number m of CBGs that the TB includes may be predefined. For example, when the data transmission mode between the first device and the second device is CBG mode, m is a fixed integer value greater than one, e.g., m is 4; when the data transmission mode between the first device and the second device is not the CBG mode, m is 1.

The number m of CBGs included in the TB may also be implicitly determined. For example, when the data transmission mode between the first device and the second device is the CBG mode, and when the number of CBs is greater than or equal to a certain threshold, the value of m is 4; when the data transmission mode between the first device and the second device is the CBG mode, and when the number of CBs is less than the threshold, the value of m is 2 or 1. Or, when the data transmission mode between the first device and the second device is the CBG mode, and when the TBS is greater than or equal to a certain threshold, the value of m is 4; when the data transmission mode between the first device and the second device is the CBG mode, and when the TBS is less than the threshold, m takes a value of 2 or 1.

The number m of CBGs included in the TB may also be configured through signaling. For example, the first device may send the determined value of m to the second device through signaling, where the signaling may be physical layer signaling or Radio Resource Control (RRC) signaling.

In one implementation, the first device calculates the first parameter C according to the following formula_-：

Wherein, C represents the number of CBs, m represents the number of CBGs included in the TB, floor represents that the maximum integer not greater than the input value is taken, and floor can also be replaced by a rounding-down operation.

Then, according to the first parameter C_-Calculating a second parameter Δ, Δ ═ C-mC_-。

Finally, it is determined that the first or last Δ CBG of the m CBGs includes C_-+1 CBs, the remaining CBG comprising C_-And (5) CB.

The difference of the numbers of CBGs included in the CBGs calculated by the method is 1, so that the numbers of CBs included in the CBGs are as uniform as possible, the probability that each CBG is correctly received is approximately the same, and the data transmission efficiency is effectively improved.

Step S103, the first device determines, according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource, which are used for carrying data of each CBG, where the first time-frequency resource is a time-frequency resource used for carrying data of a TB.

In one implementation, the first device calculates the number of time domain symbols used for carrying data of each CBG in the first time-frequency resource according to the following formula:

wherein N is_iRepresenting the number of time domain symbols used to carry the ith CBG data in the first time-frequency resource, C_iThe number of CBs included in the ith CBG is represented, m represents the number of CBGs included in the TB, N is the number of time domain symbols in the first time-frequency resource, and floor represents the maximum integer not greater than the input value. The number of time domain symbols used for carrying CBG data may also be described as the number of time domain symbols occupied by CBG data, both description modes in the present application represent the same meaning, and a suitable mode may be selected for convenience of description in some cases.

In the above implementation, the number of time domain symbols for carrying CBG data is calculated at a time, for example, C is 5, N is 7, m is 4, C is calculated_iWhen the value of Ni { (2/5, 1/5, 1/5) × 7 { (2, 1, 1}, and when the last value of N4 { (7-2-1-1) } 3, N is calculated, 1, 1, 1, and 2, 1, 1, respectively_i＝{2，1，1，3}。

In another implementation, iterations may be usedBy using a formula

Calculating the number N of time domain symbols for bearing the data of each CBG in the first time-frequency resource_iWherein, floor represents that the largest integer not larger than the input value is taken, the number of time domain symbols for carrying data of CBG is calculated each time, and C is updated to be C-C after calculation each time_iUpdating N to N-N_i. The number of time domain symbols occupied by the data of the last CBG may be obtained by subtracting the number of time domain symbols occupied by the data of other CBGs from the number N of time domain symbols in the first time-frequency resource, where the number of time domain symbols occupied by the data of the CBG is the number of time domain symbols for carrying the CBG.

Step S104, the first device maps the data of each CBG to the first time-frequency resource according to the number of the time-domain symbols for carrying the data of each CBG.

Since the number of time domain symbols for carrying the data of each CBG is already determined, the data of each CBG (i.e. the sum of the sizes of the CBs included in the CBG) is encoded and rate-matched according to the data of the CBG and the number of time domain symbols for carrying the data of the CBG, and the encoded data is mapped in a manner of first frequency domain and then time domain.

Step S105, the first device sends the TB mapped to the first time-frequency resource to the second device.

Wherein, step S105 is an optional step.

In the method of this embodiment, a first device determines, according to the size of a TB, the number C of CBs obtained by CB segmentation of the TB, determines, according to the number of CBGs and the number of CBs included in the TB that are obtained in advance, the number of CBs included in each CBG, then determines, according to the number of CBs included in each CBG and the number of time domain symbols in a first time-frequency resource, the number of time domain symbols used for carrying data of each CBG in the first time-frequency resource, and finally maps the data of each CBG to the first time-frequency resource according to the number of time domain symbols used for carrying data of each CBG. Thereby enabling to ensure that each CBG is mapped onto one or more complete time domain symbols. In a scenario where the eMB service and the URLLC service coexist, since data of each CBG is mapped onto one or more complete time domain symbols, data of two CBGs on one time domain symbol cannot appear, when URLLC service data occupies time-frequency resources of the eMB service data, the resource occupying one time domain symbol only affects the transmission of one CBG, but does not affect the transmission of two CBGs at the same time, and thus, the transmission efficiency of the eMB service data can be effectively improved.

In addition, in a scenario where data transmission errors require retransmission, because the retransmitted data are a plurality of CBGs, if the retransmitted CBGs are mapped to one or more complete time domain symbols, the time-frequency resources required by the retransmitted CBGs are complete time domain symbols, and the overhead is small during indication.

It should be noted that, in the first embodiment, the method for segmenting the TB disclosed in step S101 and the method for mapping the resource disclosed in steps S102 to S103 may be decoupled, that is, the method for segmenting the TB may use an existing method, and the method for mapping the resource uses the method for mapping the resource disclosed in steps S102 to S103; alternatively, the TB segmentation method uses the segmentation method disclosed in step S101, and the resource mapping method uses other methods, such as an existing resource mapping method.

Fig. 6 is a flowchart of a data processing method according to a second embodiment, and as shown in fig. 6, the method according to this embodiment includes the following steps:

step S201, the first device determines the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of the TB.

The specific implementation manner of this step refers to the TB segmentation method disclosed in step S101 of the above embodiment, and an existing TB segmentation method may also be used.

Step S202, the first device determines the number of time domain symbols for carrying data of each CBG according to the number of CBGs included in the TB and the number of time domain symbols in the first time-frequency resource, where the first time-frequency resource is a time-frequency resource for carrying data of the TB.

In a first implementation manner, a predefined manner is adopted, a corresponding relationship among the number of time domain symbols, the number of CBGs, and the number of time domain symbols for carrying data of each CBG is predefined, and the corresponding relationship is subsequently queried according to the number of CBGs included in the TB and the number of time domain symbols in the first time-frequency resource, so as to obtain the number of time domain symbols for carrying data of each CBG. The number of time domain symbols in the first time frequency resource is usually 7 or 14, and the number of CBGs is usually greater than 1 and less than or equal to 4. When the number of time domain symbols in the first time-frequency resource is 7, the first two time domain symbols are control channels, if the number m of CBGs is 4, 4 CBGs occupy 2, 1 time domain symbols, respectively, if m is 3, 3 CBGs occupy 2, 1 time domain symbols, respectively, if m is 2, 2 CBGs occupy 3, 2 symbols, respectively. When the number of time domain symbols in the first time-frequency resource is 14, the control channel occupies the first two time domain symbols, if m is 4, 4 CBGs respectively occupy 3, 3 time domain symbols, if m is 3, 3 CBGs respectively occupy 4, 4 time domain symbols, and if m is 2, 2 CBGs respectively occupy 6, 6 time domain symbols. Or the first device determines the number of time domain symbols occupied by the CBG according to the mini-slot distribution in the first time-frequency resource. For example, there are three mini-slots in 7 time domain symbols, and the three mini-slots occupy 2, and 3 time domain symbols, respectively, so that the three CBGs also occupy 2, and 3 time domain symbols, respectively.

In a second implementation manner, when N is greater than or equal to m, two possible values N for the number of time domain symbols for carrying CBG data are calculated according to the following formula₊And N_-：

Wherein,

which represents a rounding-up operation on the upper part,

indicating a rounding-down operation, N being the number of time domain symbols in the first time-frequency resource, and m indicating the number of CBGs included in the TB.

Then according to N_-Computing occupancy N₊Number of CBGs per time-domain symbol C₊Wherein, C₊＝N-mN_-Then occupy N_-Number of CBGs per time-domain symbol C_-Comprises the following steps: c_-＝C-C₊. Or the occupation N can be calculated firstly_-Number of CBGs per time-domain symbol C_-Wherein, C_-＝mN₊-N, then N is occupied₊Number of CBGs per time-domain symbol C₊：C₊＝C-C_-。

In the case of N < m, it is not possible to map each CBG to a complete symbol, and it is necessary to have each symbol contain a complete CBG, so that the number of CBGs affected by puncturing can be minimized.

In a third implementation, when N<And m, calculating two values of the number of CBGs on each time domain symbol according to the following formula: m is₊And m_-：

Then, according to m_-Computing bearers m₊Number S of time domain symbols of CBG₊Wherein S is₊＝m-Nm_-Then carry m_-Number S of time domain symbols of CBG_-Comprises the following steps: s_-＝N-S₊. Or load m can be calculated first_-Number S of time domain symbols of CBG_-Wherein S is_-＝Nm₊-m, then carries m₊Number S of time domain symbols of CBG₊：S₊＝N-S_-。

In the above, when m is equal to N, the number of time domain symbols used for carrying the data of each CBG is calculated according to the second implementation manner, and when m is equal to N, the number of time domain symbols used for carrying the data of each CBG may also be calculated according to the third implementation manner.

In this embodiment, N is an example of the number of time domain symbols in the first time-frequency resource, and in fact, N may also be the number of mini-slots in the first time-frequency resource.

Step S203, the first device determines the number of CBs included in each CBG according to the number of time domain symbols, the number of CBs used for carrying the data of each CBG, and the number of time domain symbols in the first time-frequency resource.

In one implementation, the first device calculates the number of CBs included in each CBG according to the following formula:

wherein N is_iRepresenting the number of time domain symbols, C, used to carry the data of the ith CBG_iThe number of CBs included in the ith CBG is represented, m represents the number of CBGs included in the TB, N is the number of time domain symbols in the first time-frequency resource, and floor represents the maximum integer not greater than the input value.

In the above calculation mode, the number of CBs included in all CBGs is calculated at one time, and in another implementation mode, an iterative mode can be used, and a formula is used

Calculating the number of CBs C included in the CBG_iWherein, floor represents that the largest integer not larger than the input value is taken, the number of CBs included in one CBG is calculated each time, and C is updated to be C-C after calculation each time_iUpdating N to N-N_i. The number of CBs included in the last CBG can be obtained by subtracting the number of CBs included in other CBGs from the number of CBs C.

In this embodiment, the resource unit is taken as the number of time domain symbols, and of course, the resource unit may also be: resource Elements (REs), Resource Blocks (RBs), Resource Block Groups (RBGs), and so on. Wherein, an RB occupies 12 consecutive subcarriers in the frequency domain and one slot in the time domain. The RE occupies one subcarrier in the frequency domain and one time domain symbol in the time domain. The RBG includes a plurality of RBs.

Step S204, the first device maps the data of each CBG to the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG and the number of CBs included in each CBG.

Step S205, the first device sends the TB mapped to the first time-frequency resource to the second device.

The difference between this embodiment and the first embodiment is: in the first embodiment, when mapping resources, the number of CBs included in each CBG is determined, and then the number of time domain symbols for carrying data of each CBG is determined according to the number of CBs included in each CBG. In this embodiment, during resource mapping, the number of time domain symbols used for carrying the data of each CBG is determined, and then the number of CBs included in each CBG is determined according to the number of time domain symbols used for carrying the data of each CBG. The method of this embodiment can also ensure that each CBG is mapped onto one or more complete time domain symbols. In a scenario where the eMB service and the URLLC service coexist, since data of each CBG is mapped onto one or more complete time domain symbols, data of two CBGs on one time domain symbol cannot appear, when URLLC service data occupies time-frequency resources of the eMB service data, the resource occupying one time domain symbol only affects the transmission of one CBG, but does not affect the transmission of two CBGs at the same time, and thus, the transmission efficiency of the eMB service data can be effectively improved.

It should be noted that, in the second embodiment, the step S201 may adopt the TB segmentation method disclosed in the first embodiment in step S101, and similarly, the TB segmentation method in step S201 may be decoupled from the resource mapping method disclosed in steps S202 to S203, the TB segmentation method in step S201 may use an existing method, and the resource mapping method uses the resource mapping method disclosed in steps S202 to S103; alternatively, the TB segmentation method in step S201 uses the TB segmentation method disclosed in step S101, and the resource mapping method uses another method, such as an existing resource mapping method. It should be noted here that, in the conventional resource mapping method, because the number of resources that cannot be used for data transmission, such as reference signals, is different for each time domain symbol, some CBGs may occupy resources outside the time domain symbol that carries the data of the CBG when mapping, but due to the limitation of the present application in the TB segment, the resources outside the time domain symbol that carries the data of the CBG that are occupied by the CBG are very small, and it is acceptable that the CBG approximately occupies a complete time domain symbol.

Fig. 7 is a flowchart of a data processing method according to a third embodiment, and as shown in fig. 7, the method according to this embodiment includes the following steps:

step S301, the first device determines the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of the TB.

The transmitting device may adopt the TB segmentation method disclosed in step S101 of the above embodiment, or may adopt an existing TB segmentation method.

Step S302, the first device determines the number of time domain symbols for carrying data of each CB according to the number of CBs and the number of time domain symbols in the first time-frequency resource, where the first time-frequency resource is a time-frequency resource for carrying data of a TB.

When C is present<When N is needed, the first device calculates two values N of the time domain symbol number for bearing the data of each CB₊And N_-Wherein

which represents a rounding-up operation on the upper part,

and C is the number of CBs, and N is the number of time domain symbols in the first time-frequency resource. Then, the first device calculates the number of time domain symbols for carrying the data of the CB to be N₊Number of CBs C₊Wherein, C₊＝N-CN_-And the number of time domain symbols for carrying the data of the CB is N_-Number of CBs C_-Comprises the following steps: c_-＝C-C₊. Or the number of time domain symbols for carrying the CB data may be calculated as N_-Number of CBs C_-Wherein, C_-＝CN₊N, the number of time domain symbols for carrying CB data is N₊Number of CBs C₊Comprises the following steps: c₊＝C-C_-. Time domain symbols for carrying CB dataThe number of the time domain symbols occupied by CB data can also be described as the number of the time domain symbols occupied by CB data, both description modes in the present application mean the same meaning, and a suitable mode may be selected for convenience of description in some cases.

When C is larger than or equal to N, two values C of the CB number with the same time domain symbol number for bearing the CB data are calculated first₊And C_-Wherein

which represents a rounding-up operation on the upper part,

and C is the number of CBs, and N is the number of time domain symbols in the first time-frequency resource. Then, C is calculated₊Number N of time domain symbols occupied by data of CB₊Wherein N is₊＝C-NC_-Then C is_-Number N of time domain symbols occupied by data of CB_-Is N_-＝N-N₊. C can also be calculated first_-Time domain symbol number N occupied by data of CB_-Wherein N is_-＝NC₊-C, then C₊Number N of time domain symbols occupied by data of CB₊Is N₊＝N-N_-。

The two calculation methods make the number of time domain symbols occupied by the data of each CB, or the number of CBs carried on each time domain symbol, as uniform as possible. For example, when N is 7 and C is 2, the number of time domain symbols occupied by data of 2 CBs is 4 and 3 (may be 3 and 4), respectively. When N is 7 and C is 10, the number of CBs carried on 7 time domain symbols is 2, 1 (may also be 1, 2), that is, data of the first 6 CBs occupy 3 time domain symbols, data of each CB occupies half (0.5) of the time domain symbols, and the last 4 CBs occupy 4 time domain symbols, and each CB occupies 1 time domain symbol. The number of the time domain symbols carrying the data of each CB is similar or the number of the CBs carried on each time domain symbol is similar, which means that the time frequency resources carrying the data of each CB are similar in size. When the size of each CB in the TB is proportional to the size of the time-frequency resource carrying the CB, the sizes of the CBs in the TB are similar. The sizes of the CBs in the TB are similar, and the coding gains of the corresponding CBs are also similar, so that the data transmission efficiency can be improved.

Step S303, the first device determines the size (size) of each CB according to the number of time domain symbols and the number of CBs used for carrying the data of each CB.

The principle of the determination is that the size of the CB is in direct proportion to the resource occupied by the CB, the sum of the sizes of the CBs is the TBS plus the length of a newly added Cyclic Redundancy Check (CRC), and the resource occupied by the CB is the number of time domain symbols for carrying data of each CB. The CB size is in direct proportion to the time-frequency resource occupied by the CB, so that the code rate of each CB in actual transmission is similar, the decoding success rate of each CB is further similar, and the data transmission efficiency is improved. This is because, if the CB size and the time-frequency resource occupied by the CB are not in proportion, for example, if the time-frequency resource occupied by a CB is small, the code rate of the CB increases, and the CB rate increases to decrease the decoding accuracy, and if the CB fails to decode, retransmission of the TB, the CBG, or a part of the CBs is caused, which decreases the transmission efficiency.

In one implementation, the first device calculates the size of each CB according to formula one:

the formula I is as follows:

wherein s is_iRepresenting the size of the ith CB, C the number of CBs, floor the maximum integer not greater than the input value, r_iThe number of time domain symbols used for carrying data of the ith CB is shown, N represents the number of time domain symbols in the first time-frequency resource, and B' represents the size of the TB plus the CRC of the C CBs.

In another implementation, the first device calculates the size of each CB according to formula two:

the formula II is as follows:

wherein s is_iThe method comprises the steps of representing the size of an ith CB, representing the number of CBs, representing the number of time domain symbols for carrying data of the ith CB by taking a maximum integer not larger than an input value by a floor, representing the number of the time domain symbols in first time-frequency resources by N, and representing the size of the TB plus the CRC of the C CBs by B'.

Step S304, the first device maps the data of each CB to the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CB and the size of each CB.

Step S305, the first device sends the TB mapped to the first time-frequency resource to the second device.

It should be noted that, in this embodiment, the first device may use an existing resource mapping scheme to map the coded CB to the first time-frequency resource, and may map the coded CB according to an order of a frequency domain and a time domain during mapping. The first device may also determine, according to the method disclosed in step S102 in the first embodiment, the number of CBs included in each CBG, since the number of time domain symbols occupied by the data of each CB is already determined, after the number of CBs included in each CBG is determined, the number of time domain symbols occupied by the data of each CBG is also uniquely determined, and then map the data of each CBG to the first time-frequency resource according to the number of time domain symbols occupied by the data of each CBG. Therefore, the method of this embodiment can also ensure that each CBG is mapped onto one or more complete time domain symbols. Because the data of each CBG is mapped to one or more complete time domain symbols, the data of two CBGs on one time domain symbol cannot appear, when URLLC service data occupies time-frequency resources of eMBB service data, the resources occupying a certain time domain symbol only affect the transmission of a certain CBG, but do not affect the transmission of two CBGs simultaneously, and therefore the transmission efficiency of the eMBB service data can be effectively improved.

Optionally, the network device may signal to the terminal device whether to map the CBG data onto a complete time domain symbol (also referred to as resource alignment). For example, the network device may send indication information to the terminal device through Radio Resource Control (RRC) signaling or physical layer signaling, where the indication information is used to indicate whether the data of the CBG is to be mapped onto a complete time domain symbol. One possible configuration strategy is: for a frequency band where URLLC and eMBB service data coexist, since URLLC service data may occupy time-frequency resources of eMBB service data, it may be configured to map data of CBG to a complete time-domain symbol; for the frequency band without URLLC service data occupying the time frequency resource of the eMBB service data, the data of the CBG can be mapped to the complete time domain symbol without configuration.

Fig. 8 is a flowchart of a data processing method provided in a fourth embodiment, where the method in this embodiment is a data processing method of a receiving end corresponding to the data processing method of the transmitting end provided in the first embodiment, and as shown in fig. 8, the method in this embodiment includes the following steps:

step S401, the second device receives the TB sent by the first device.

In this embodiment, the second device is a receiving end device, and the first device is a sending end device.

And S402, the second equipment determines the number C of CBs obtained by carrying out CB segmentation on the TB according to the size of the TB.

Optionally, the number C of CBs is the minimum integer satisfying the following two conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

Alternatively, the number of CBs C is the smallest integer satisfying the following three conditions,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

Step S403, the second device determines, according to the number of CBGs and the number of CBs included in the TB acquired in advance, the number of CBs included in each CBG.

Optionally, the second device determines, according to the number of CBGs and the number of CBs included in the pre-obtained TB, the number of CBs included in each CBG, which specifically is:

calculating a first parameter C according to the following formula_-：

according to a first parameter C_-Calculating a second parameter Δ, Δ ═ C-mC_-；

Determining that the first or last Δ CBG of the m CBGs includes C_-+1 CBs, the remaining CBG comprising C_-And (5) CB.

Step S404, the second device determines, according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource, which are used for carrying data of each CBG, where the first time-frequency resource is a time-frequency resource used for carrying data of a TB.

Optionally, the second device calculates the number of time domain symbols used for carrying data of each CBG in the first time-frequency resource according to the following formula:

wherein N is_iRepresenting the number of time domain symbols used to carry the ith CBG data in the first time-frequency resource, C_iThe number of CBs included in the ith CBG is represented, m represents the number of CBGs included in the TB, N is the number of time domain symbols in the first time-frequency resource, and floor represents the maximum integer not greater than the input value.

Step S405, the second device decodes the data of each CBG from the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG.

If a certain CBG fails to decode, the second device only needs to feed back NACK information of the CBG to the first device, and the first device retransmits the CBG according to the feedback of the second device without retransmitting the entire TB, thereby improving transmission efficiency.

The method of this embodiment is a data processing method of a receiving end corresponding to the data processing method of the transmitting end provided in the first embodiment, and in a data transmission process, the transmitting end and the receiving end perform TB segmentation and resource mapping by using the same method, which is not described herein again.

Similarly, in the data processing methods of the transmitting end provided in the second embodiment and the third embodiment, the receiving end may also process the received TB by using the same data processing method, and a description thereof is not repeated here.

Fig. 9 is a schematic structural diagram of a data processing apparatus provided in the fifth embodiment, and as shown in fig. 9, the data processing apparatus of the present embodiment includes:

the segmentation module 11 is configured to determine, according to the size of a transport block TB, the number C of CBs obtained by performing CB segmentation on the TB;

a first determining module 12, configured to determine, according to the number of CBGs of a coding block group included in the TB and the number of CBs, the number of CBs included in each CBG;

a second determining module 13, configured to determine, according to the number of CBs included in each CBG and the number of time domain symbols in a first time-frequency resource, the number of time domain symbols in the first time-frequency resource, where the first time-frequency resource is a time-frequency resource used for carrying data of the TB;

a mapping module 14, configured to map the data of each CBG to the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG.

Optionally, the second determining module 13 is specifically configured to:

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

Optionally, the number C of CBs is the minimum integer satisfying the following three conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

Optionally, the first determining module is specifically configured to:

calculating a first parameter C according to the following formula_-：

The apparatus of this embodiment may be configured to execute the method of the first embodiment, and the specific implementation manner and the technical effect are similar, which are not described herein again.

For those skilled in the art, a device for performing the methods of the second embodiment and the third embodiment may be directly obtained by referring to the device of the present embodiment, and details are not repeated here.

Fig. 10 is a schematic structural diagram of a data processing apparatus according to a sixth embodiment, and as shown in fig. 10, the data processing apparatus according to the present embodiment includes:

a receiving module 21, configured to receive a transport block TB sent by a first device;

the segmenting module 22 is configured to determine, according to the size of the TB, the number C of CBs obtained by performing CB segmentation on the TB;

a first determining module 23, configured to determine, according to the number of CBGs of the coding block group included in the TB and the number of CBs, the number of CBs included in each CBG;

a second determining module 24, configured to determine, according to the number of CBs included in each CBG and the number of time domain symbols in a first time-frequency resource, the number of time domain symbols in the first time-frequency resource, which is used for carrying data of each CBG, where the first time-frequency resource is a time-frequency resource used for carrying data of the TB;

a decoding module 25, configured to decode the data of each CBG from the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG.

Optionally, the second determining module 24 is specifically configured to:

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

Optionally, the first determining module 23 is specifically configured to:

calculating a first parameter C according to the following formula_-：

The apparatus of this embodiment may be configured to execute the method of the fourth embodiment, and the specific implementation manner and the technical effect are similar, which are not described herein again.

For those skilled in the art, the device of the present embodiment may be referred to directly obtain a device for executing the method corresponding to the method of the second embodiment and the method of the third embodiment to the corresponding receiving side, which is not described herein again.

Fig. 11 is a schematic structural diagram of a data processing apparatus according to a seventh embodiment, and as shown in fig. 11, the data processing apparatus according to the present embodiment includes: the data processing apparatus includes a processor 31, a memory 32, and a communication interface 33, where the memory 32 is configured to store instructions, the communication interface 33 is configured to communicate with other devices, and the processor 31 is configured to execute the instructions stored in the memory 32, so that the data processing apparatus executes the methods in the first to third embodiments, and specific implementation manners and technical effects are similar, and are not described herein again.

Fig. 12 is a schematic structural diagram of a data processing apparatus according to an eighth embodiment, and as shown in fig. 12, the data processing apparatus according to the present embodiment includes: the data processing apparatus includes a processor 41, a memory 42, and a communication interface 43, where the memory 42 is configured to store instructions, the communication interface 43 is configured to communicate with other devices, and the processor 41 is configured to execute the instructions stored in the memory 42, so that the data processing apparatus executes the method according to the fourth embodiment, and specific implementation manners and technical effects are similar, and are not described herein again. The data processing apparatus may further execute the data processing method adopted by the receiving end corresponding to the data processing method of the transmitting end provided in the second embodiment and the third embodiment, where the transmitting end and the receiving end adopt the same data processing method, and a description thereof is not repeated here.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

In the several embodiments provided in the present application, the described apparatus embodiments are only illustrative, for example, the division of the units is only one logical function division, and there may be other division manners in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Claims

1. A data processing method, comprising:

the first device maps the data of each CBG to the first time-frequency resource according to the number of time-domain symbols for carrying the data of each CBG;

the determining, by the first device, the number of time domain symbols used for carrying the data of each CBG in the first time-frequency resource according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource includes:

2. The method of claim 1, wherein the number of CBs, C, is a minimum integer satisfying two conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

3. The method of claim 1, wherein the number of CBs, C, is a minimum integer satisfying three conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

4. The method according to any one of claims 1 to 3, wherein the determining, by the first device, the number of CBs included in each CBG according to the number of coding block groups CBG included in the TB and the number of CBs, which are obtained in advance, includes:

calculating a first parameter C according to the following formula_-：

5. A data processing method, comprising:

the second equipment receives a transport block TB sent by the first equipment;

the second device decodes the data of each CBG from the first time-frequency resource according to the number of time-domain symbols for carrying the data of each CBG;

the second device determines, according to the number of CBs included in each CBG and the number of time domain symbols in the first time-frequency resource, which is used for carrying data of each CBG, and includes:

6. The method of claim 5, wherein the number of CBs, C, is a minimum integer satisfying two conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

7. The method of claim 5, wherein the number of CBs, C, is the smallest integer satisfying the following three conditions,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

8. The method according to any one of claims 5 to 7, wherein the determining, by the second device, the number of CBs included in each CBG according to the number of CBGs included in the TB and the number of CBs acquired in advance comprises:

calculating a first parameter C according to the following formula_-：

9. A data processing apparatus, comprising:

a mapping module, configured to map the data of each CBG to the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG;

the second determining module is specifically configured to:

10. The apparatus of claim 9, wherein the number of CBs C is a minimum integer satisfying two conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

11. The apparatus of claim 9, wherein the number of CBs C is a minimum integer satisfying three conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

12. The apparatus according to any one of claims 9-11, wherein the first determining module is specifically configured to:

calculating a first parameter C according to the following formula_-：

13. A data processing apparatus, comprising:

a decoding module, configured to decode the data of each CBG from the first time-frequency resource according to the number of time-domain symbols used for carrying the data of each CBG;

the second determining module is specifically configured to:

14. The apparatus of claim 13, wherein the number of CBs C is a minimum integer satisfying two conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB.

15. The apparatus of claim 13, wherein the number of CBs C is a minimum integer satisfying three conditions, wherein,

and a second condition:

wherein Z is the maximum value of the size of CB, and TBS is the size of TB;

16. The apparatus according to any one of claims 13-15, wherein the first determining module is specifically configured to:

calculating a first parameter C according to the following formula_-：