Transport block segmentation for multi-level codes

Abstract

A wireless communication method for transmitting wireless signals from a transmitter includes dividing bits of the transport block into a number of code blocks, wherein each code block corresponds to a bit-level of a multi-level modulation scheme used for transmission, and wherein a size of each code block is inversely proportional to a corresponding coding rate used for coding the code block.

Description

TECHNICAL FIELD

The present document relates to wireless communication, and more particularly, transmission and reception of multi-level constellation signals.

BACKGROUND

Due to an explosive growth in the number of wireless user devices and the amount of wireless data that these devices can generate or consume, current wireless communication networks are fast running out of bandwidth to accommodate such a high growth in data traffic and provide high quality of service to users.

Various efforts are underway in the telecommunication industry to come up with next generation of wireless technologies that can keep up with the demand on performance of wireless devices and networks.

SUMMARY

This document discloses techniques for transmission and reception of signals with improved error-rate performance, using multi-level constellation symbols.

In one example aspect, a method of wireless communication in which data is transmitted in units of transport blocks is disclosed. The method includes dividing bits of the transport block into a number of code blocks, wherein each code block corresponds to a bit-level of a multi-level modulation scheme used for transmission, and wherein a size of each code block is inversely proportional to a corresponding coding rate used for coding the code block,

In another example aspect, an apparatus comprising a processor and a transmitter circuit is disclosed. The apparatus includes a first circuit at which data is received for transmission over network, and a second circuit, which organizes the data into a number of code blocks. The processor processes the code blocks to generate a quadrature amplitude modulation (QAM) modulated output signal. The transmitter circuit that transmits the output signal. Sizes of code blocks are selected such that at least one code block per bit level of a multi-level encoding is used, all code blocks have sizes less than or equal to a maximum size and coded bit levels occupy a same number of QAM symbols

These, and other, features are described in this document.

DESCRIPTION OF THE DRAWINGS

Drawings described herein are used to provide a further understanding and constitute a part of this application. Example embodiments and illustrations thereof are used to explain the technology rather than limiting its scope.

FIG. 1 depicts an example of a communication network, in accordance with some example embodiments;

FIG. 2 depicts an example of a long-term evolution (LTE) and LTE new radio (NR) segmentation process, in accordance with some example embodiments;

FIG. 3 depicts an example of transport block processing in LTE, in accordance with some example embodiments;

FIG. 4 depicts an example of a multilevel coding (MLC) encoder and decoder, in accordance with some example embodiments;

FIG. 5 depicts an example of a process for transport block segmentation for MLC codes, in accordance with some example embodiments;

FIG. 6 depicts another process, in accordance with some example embodiments; and

FIG. 7 depicts an example of a wireless transceiver apparatus, in accordance with some example embodiments.

DETAILED DESCRIPTION

To make the purposes, technical solutions, and advantages of this disclosure more apparent, various embodiments are described in detail below with reference to the drawings. Unless otherwise noted, embodiments and features in embodiments of the present document may be combined with each other.

Section headings are used in the present document to improve readability of the description and do not in any way limit the discussion to the respective sections.

Fifth generation (5G) wireless systems are expected to provide unprecedented data rates and support a vast range of services. In this context, the 3GPP standards organization is defining the physical layer capabilities the NR (5G New Radio) system to support higher data rates. In the following, processing a basic unit of information, referred to as a transport block (TB), is described including processing coding and modulation applied to the information. The process is suitable for a family of codes that may be referred to as multi-level coding (MLC) codes, which present several important advantages for wireless systems, as described below.

It is expected that MLC codes will be used for error correction coding of data in the next generation communication systems. In some embodiments, MLC codes may be used to provide different levels of robustness, or error protection, to different bit positions in a multi-bit constellation. For example, a number of most significant bits of a multi-level QAM modulation may be protected using different error correction codes than the less significant bits. Current wireless systems, such as a long term evolution (LTE) system defined by the 3GPP consortium, do not provide MLC protection. The LTE system, however, prescribes the use of a transport block (TB) that is encoded and transmitted in a subframe of transmission.

The techniques described in the present document can be used to generate code blocks suitable for MLC at a transmitter and to modulate according to a QAM constellation the code blocks prior to transmission over the medium. Described herein are methods for data segmentation and encoding.

FIG. 1 shows an example communication network 100 in which the disclosed technologies can be implemented. The network 100 may include a base station transmitter 104 that transmits wireless signals s(t) (downlink signals) to one or more receivers 102, the received signal being denoted as r(t), which may be located in a variety of locations, including inside or outside a building and in a moving vehicle. The receivers may transmit uplink transmissions to the base station, typically located near the wireless transmitter. The technology described herein may be implemented at a receiver 102 or at the transmitter 104 (e.g., a base station).

LTE Transport Block Segmentation Procedure

In an LTE system and other system, information is encapsulated in transport blocks (TB), which are transmitted in a given subframe. The information bits in each TB are encoded by the channel encoder prior to transmission. For large TBs, a segmentation process is defined for LTE in 3GPP TS 36.212, “LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding,” (hereinafter “TS 36.212”). In this procedure, the TB is broken into a number of codeblocks (CB) with a given maximum size. For example, the maximum size may be L=6144 bits. A cyclic redundancy code (CRC) is appended to each CB, and an additional CRC is appended at the end of the TB. The LTE process for CB segmentation is detailed in FIG. 2. Moreover, it is a component of LTE transport block processing, detailed in TS 36.212 and shown in FIG. 3.

NR Transport Block Segmentation Procedure

NR also has a block segmentation process defined in 3GPP TS 38.212, “NR; Multiplexing and channel coding”, v0.0.2 (hereinafter, TS 38.212). Information is encapsulated in transport blocks (TB), which are transmitted in a given subframe. The information bits in each TB are encoded by the channel encoder prior to transmission. For large TB, a segmentation procedure is performed. In this procedure, the TB is broken into a number of codeblocks (CB) with a given maximum size such as KCB=8448 bits. Each CB is appended a CRC. The NR procedure for CB segmentation can also be described by FIG. 2.

Multi-Level Coding

MLC codes are channel codes that include multiple encoders and/or decoders. When coupled with a quadrature amplitude modulation (QAM), MLC codes may be used to separately encode each bit level in a constellation, from the most significant bit (MSB) to the least significant bit (LSB). Each bit level may be understood to be a parallel bit channel, with each individual encoder in the MLC encoder being used for each parallel bit channel. Any channel code may be used as an individual MLC encoder. Examples include turbo codes, such as the LTE turbo code, and low density parity check (LDPC) codes, such as the NR LDPC code. For a bit level, in-phase and quadrature signals may be encoded jointly. Moreover, several bit levels may be encoded together.

An example is given in FIG. 4. Encoder 1 at 410 encodes the most significant bit (MSB), encoder 2 encodes the next most significant bit (not shown in FIG. 4), and so on to encoder N at 420 encoding the least significant bit (LSB). At the receiver, decoder 1 at 430 decodes the corresponding most significant bit from encoder 1 at 410, decoder 2 decodes the corresponding next most significant bit from the next encoder, and decoder N at 440 decodes the corresponding LSB from encoder N at 420. The structure of the MLC, coupled with a QAM constellation, may be particularly appropriate for several wireless communications applications. For example, it may be used for certain types of receivers in wireless communications such as iterative receivers, because it allows information to be encoded and decoded independently.

The decoder may decode each parallel bit channel successively (referred to as successive decoding), and use information about already decoded bit channels to improve the decoder performance of ensuing decoders, as illustrated in FIG. 4. Successive decoding may take place in any order. For example, successive decoding may be used from most significant bit to least significant bit, from least significant bit to most significant bit, or in any other bit order.

Transport Block Segmentation for Multilevel Codes

In order to enable independent operation of the MLC encoders and decoders, a TB is segmented into multiple code blocks. At a minimum, the number of code blocks equals the number of MLC encoders. Since the code rates of each MLC encoder may be different, code block sizes may be different.

In addition, in order to facilitate implementation by limiting buffer sizes, a maximum code block size may be determined.

In one embodiment, suitable for LTE, LTE NR, or new generations of cellular, wireless, wired, satellite, or other communications systems, where M-QAM is used, and for a TB of size B bits, the following process may be is used:

• • 1. Define the number of code blocks as C=½ log₂ M, where M is the order of the QAM constellation. Each bit level is encoded separately, and for a given bit level, in-phase and quadrature bits are encoded together, with the bits in the equivalent bit level in each dimension belonging to the same code block. The size of each code block K_c, c=1, . . . , C is determined in relation to the coding rate at each bit level, and satisfies:

$\begin{array}{cc}2\lceil \frac{K_1+L}{2R_1}\rceil =2\lceil \frac{K_2+L}{2R_2}\rceil =\dots =2\lceil \frac{K_C+L}{2R_C}\rceil & \mathrm{Equation}1\\ {\sum }_{c=1}^C{K}_c=B& \mathrm{Equation}2\end{array}$

• • where K_c, c=1, . . . , C is the code rate of each encoder, and L is the size of an error detection field, such as CRC. In the absence of such field, L=0. With this process, the sizes of the code blocks at each bit level are such that the same number of QAM symbols per bit level are used.
    • The equations above need not be satisfied in a strict sense. After the necessary code block sizes, K_c, c=1, . . . C, have been determined, this embodiment also includes utilizing smaller block sizes and inserting filler bits until the sizes K_c, c=1, . . . C, are fulfilled. Filler bits have the function of adjusting the block size but do not carry information.
    • If for each code block K_c+L≤Z, where Z is the maximum code block size, then C=½ log₂ M and the process ends. The number of bits corresponding to the TB is B′=B+L*C. In addition to the CRC field appended to each code block, a CRC field for the entire TB may also be appended.
  • 2. If, for some bit level c, K_c+L>Z, then further divide the code block into the smallest number n_c satisfying

$\lceil \frac{K_c}{n_c}+L\rceil \le Z,$ and define the size of the code blocks in bit level c as K_c,i, i=1, . . . , n_c·K_c,i should be defined so as not to exceed Z.

• • 3. Resize code blocks such that:

$\begin{array}{cc}2\lceil \frac{{\sum }_{i=1}^{n_1}\lceil \frac{K_{1,i}+L}{R_1}\rceil }{2}\rceil =2\lceil \frac{{\sum }_{i=1}^{n_2}\lceil \frac{K_{2,i}+L}{R_2}\rceil }{2}\rceil =\dots =2\lceil \frac{{\sum }_{i=1}^{n_C}\lceil \frac{K_{C,i}+L}{R_C}\rceil }{2}\rceil & \mathrm{Equation}3\end{array}$

• • • i.e. bit levels occupy the same number of QAM symbols, and then repeat step 2 above if necessary, until code block sizes do not exceed Z. Alternatively, one CRC per bit level may be used, in which case there is no need to resize code blocks.

At the end of the code block segmentation process, code block sizes are such that at least one code block per bit level is used, the code blocks satisfy the maximum length constraint, and the coded bit levels occupy the same number of QAM symbols.

If the equalities above (Equations 1-3) cannot be satisfied, the TB size B may be increased with filler bits so that the equalities above may be satisfied. For example, filler bits may include one or more dummy“1s” or “0s” to increase the size of B.

In one embodiment, Z=6144 bits, the current maximum code block size for the LTE standard.

In another embodiment, Z=8448 bits, the maximum block size specified for the 3GPP NR standard TS 38.212. Other values that facilitate hardware implementation may be adopted.

In another embodiment, the procedure described in TS 36.212 may be applied to determine the code block sizes in the second step of the above process.

In another embodiment, in-phase and quadrature bits may be contained in separate code blocks, such as that the total number of blocks is at least log₂ M.

In some example embodiments, codes may be LDPC codes, such as the 3GPP NR LDPC code, turbo codes, polar codes, convolutional and tail-biting convolutional codes, or any other type of forward error correcting code.

In order to achieve all code rates required in the multi-level code, a single code followed by puncturing may be used, or different codes with different code rates may be used.

Repetition coding may be used to further reduce the code rate of the codes.

In other embodiments, the foregoing process may be used for other types of modulations, such as M-PSK, hierarchical QAM constellations, M-ASK, irregular constellations, and, in general, any constellation containing more than one bit per symbol.

As part of the transmitter processing, bit interleaving can be included prior to mapping to constellation symbols. In order to allow independent decoding, interleaving may be restricted to each bit level. This does not preclude interleaving multiple code blocks in a given bit level.

At the receiver, a code block aggregation procedure may be performed, which includes removing the CRC field of each code block and concatenating the code blocks to recover the original TB.

The segmentation procedure described above may be inserted in the MLC transmitter as shown in FIG. 5. The corresponding aggregation procedure described above may be inserted in the MLC receiver.

FIG. 6 depicts a process for data transmission, in accordance with some example embodiments.

The method 600 includes, at 602, receiving information bits for transmission. The information bits may include user data and/or control data. The information bits may be locally generated at the transmitter apparatus implementing the method 600 and may represent application-level data or audio signal. In some embodiments, the information bits may be received at a peripheral interface (e.g., USB, Lightening, or HDMI interface) for transmission over the network.

The method 600 includes, at 604, dividing bits of the transport block into a number of code blocks. As described above, each code block may correspond to a bit-level of a multi-level modulation scheme used for transmission. The sizes may be selected so that sizes of each code block is inversely proportional to a corresponding coding rate used for coding the code block and the equality shown in Equations 1-3 may be satisfied.

The method 600 includes, at 606, processing the code blocks to generate an output signal. The processing operation may include concatenating the code blocks to generate a concatenated code block sequence, interleaving the concatenated sequence to generate a concatenated code block sequence, and mapping the concatenated code block sequence to a QAM constellation.

The method 600 includes, at 608, transmitting the output signal.

In some embodiments, a wireless communication apparatus includes a first circuit at which data is received for transmission over network, a second circuit, which organizes the data into a number of code blocks, a processor that processes the code blocks to generate a Quadrature Amplitude Modulation (QAM) modulated output signal, and a transmitter circuit that transmits the output signal. Sizes of code blocks are selected such that at least one code block per bit level of a multi-level encoding is used, all code blocks have sizes less than or equal to a maximum size and coded bit levels occupy a same number of QAM symbols.

FIG. 7 shows an example of a wireless transceiver apparatus 700. The apparatus 700 may be used to implement method 600 and/or the process described above. The apparatus 700 includes a processor 702, a memory 704 that stores processor-executable instructions and data during computations performed by the processor. The apparatus 700 includes reception and/or transmission circuitry 706, e.g., including radio frequency operations for receiving or transmitting signal and/or receiving data or information bits for transmission over a wireless network.

It will be appreciated that the disclosed techniques can be used to improve transmission and allocate bits to code blocks in a multi-level encoding based transmission scheme. Unless otherwise noted, various terms used herein are consistent with the usage in 3GPP TS 36.212, “LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding” document version 14.0.0, dated September 2016, and/or 3GPP TS 38.212, “NR; Multiplexing and channel coding”, v0.0.2, dated August 2017, both of which are incorporated by reference in their entirety herein.

The disclosed and other embodiments, modules and the functional operations described in this document can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structures disclosed in this document and their structural equivalents, or in combinations of one or more of them. The disclosed and other embodiments can be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a computer readable medium for execution by, or to control the operation of, data processing apparatus. The computer readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more them. The term “data processing apparatus” encompasses all apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or computers. The apparatus can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them. A propagated signal is an artificially generated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to suitable receiver apparatus.

A computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.

The processes and logic flows described in this document can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).

Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. However, a computer need not have such devices. Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto optical disks; and CD ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.

While this patent document contains many specifics, these should not be construed as limitations on the scope of an invention that is claimed or of what may be claimed, but rather as descriptions of features specific to particular embodiments. Certain features that are described in this document in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or a variation of a sub-combination. Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results.

Only a few examples and implementations are disclosed. Variations, modifications, and enhancements to the described examples and implementations and other implementations can be made based on what is disclosed.

Claims

1. A wireless communication method of wireless communication in which data is transmitted in units of transport blocks, comprising: dividing bits of a transport block into a plurality of code blocks, wherein each code block of the plurality of code blocks corresponds to a bit-level of a multi-level modulation scheme used for transmission, and wherein a size of each code block is inversely proportional to a corresponding coding rate used for coding the code block;processing the plurality of code blocks to generate an output signal; andtransmitting the output signal.

2. The method of claim 1, wherein processing the plurality of code blocks includes: resizing, based on a maximum size of a code block of the plurality of code blocks, each code block to generate a plurality of resized code blocks; andgenerating the output signal using the plurality of resized code blocks.

3. The method of claim 2, wherein the resizing operation includes: further dividing each code block into a smaller size that is less than the maximum size to generate the plurality of resized code blocks.

4. The method of claim 2, wherein the maximum size is equal to 6144 bits.

5. The method of claim 2, wherein the maximum size is equal to 8448 bits.

6. The method of claim 1, wherein the multi-level modulation scheme includes an M-level amplitude modulation scheme, and wherein a number of the plurality of code blocks, C, is C=½ log2 M.

7. The method of claim 6, wherein the size of each code block satisfies a condition:

8. The method of claim 1, wherein the operation of dividing bits of the transport block includes stuffing filler bits such that a same number of symbols are used for each bit level.

9. The method of claim 1, wherein the processing the plurality of code blocks to generate the output signal includes performing in-phase and quadrature modulation on the plurality of code blocks.

10. The method of claim 1, wherein the operation of processing the plurality of code blocks to generate the output signal includes: concatenating the plurality of code blocks to generate a concatenated code block sequence; andinterleaving the concatenated code block sequence to generate an interleaved concatenated code block sequence, wherein the interleaving is performed at each bit level; andmapping the interleaved concatenated code block sequence to a QAM constellation.

11. A wireless data transmission apparatus, comprising a first circuit at which data is received for transmission over a network;a second circuit which organizes the data into a plurality of code blocks;a processor that processes the plurality of code blocks to generate a quadrature amplitude modulation (QAM)-modulated output signal; anda transmitter circuit that transmits the QAM-modulated output signal,wherein sizes of the plurality of code blocks are selected such that at least one code block per bit level of a multi-level encoding is used, wherein each of the plurality of code blocks has a size less than or equal to a maximum size, wherein a size of each code block is inversely proportional to a corresponding coding rate used for coding the code block, and wherein coded bit levels occupy a same number of QAM symbols.

12. The apparatus of claim 11, the processing the plurality of code blocks includes: resizing, selectively based on a maximum size of a code block of the plurality of code blocks, the each code block to generate a plurality of resized code blocks; andusing the plurality of resized code blocks to generate the output signal.

13. The apparatus of claim 12, wherein the resizing operation includes: further dividing each code block into a smaller size that is less than the maximum size to generate the plurality of resized code blocks.

14. The apparatus of claim 12, wherein the maximum size is equal to 6144 bits.

15. The apparatus of claim 12, wherein the maximum size is equal to 8448 bits.

16. The apparatus of claim 11, wherein the plurality of code blocks corresponds to a multi-level modulation scheme that includes an M-level quadrature amplitude modulation scheme, and wherein a number of the plurality of code blocks, C, is equal to C=½ log2 M.

17. The apparatus of claim 16, wherein the size of each code block satisfies a condition:

18. The apparatus of claim 11, wherein the operation of organizing the data includes stuffing filler bits such that a same number of symbols are used for each bit level.

19. The apparatus of claim 11, wherein the processing the plurality of code blocks to generate the output signal includes performing in-phase and quadrature modulation on the plurality of code blocks.

20. The apparatus of claim 11, wherein the operation of processing the plurality of code blocks to generate the output signal includes: concatenating the plurality of code blocks to generate a concatenated code block sequence; andinterleaving the concatenated code block sequence to generate an interleaved concatenated code block sequence, wherein the interleaving is performed at each bit level; andmapping the interleaved concatenated code block sequence to a QAM constellation.