WO2021136472A1 - Two user uplink transmission rateless encoding method and rateless code decoding method - Google Patents
Two user uplink transmission rateless encoding method and rateless code decoding method Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
- H04L1/0045—Arrangements at the receiver end
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Definitions
- This application relates to the field of communication technology, in particular to a method for optimizing the frequency distribution of rateless coding for two-user uplink transmission, a rateless coding method for two-user uplink transmission, a rateless code decoding method for two-user uplink transmission, and two-user uplink transmission.
- DAS Distributed Antenna Systems
- the antennas in the distributed multi-antenna system are scattered in different geographical locations of the cell, which can effectively improve the coverage at the edge of the cell.
- RRH remote radio head
- the system transmission power can be effectively reduced and the system performance can be improved.
- the network status and channel status of the distributed multi-antenna system are more complicated and variable. Noise, interference and channel fading have a great impact on the quality and transmission reliability of electromagnetic wave signals.
- Severe noise, interference and channel fading may even cause the interruption of the communication process.
- error control technology is often used to protect the message to be sent in the actual transmission process.
- channel coding is an effective error control technology.
- the research of rateless codes mainly includes degree distribution design, decoding method design, etc.
- the degree distribution function is directly related to the performance of rateless codes, which determines the success rate of decoding, decoding overhead and decoding complexity, etc.
- Design for rateless codes The key to the code is to construct an appropriate degree distribution function.
- the traditional degree distribution function optimization method is aimed at Additive White Gaussian Noise (AWGN) channels, and requires the network central node to know the global network channel state information for optimization, which will bring greater system signaling overhead , Reduce system transmission efficiency.
- AWGN Additive White Gaussian Noise
- a method for optimizing the frequency distribution of rateless coding for uplink transmission of two users is provided, which is applied to a distributed multi-antenna system under a block fading channel, and the method includes:
- the Raptor coding is performed according to the preset average code length, with the goal of minimizing the signal-to-noise ratio, the degree distribution of the two users' rateless coding is optimized Optimization problem of coefficients;
- the preset average code length is determined according to the statistical information of the channel state of the block fading channel.
- the optimization problem is listed as follows:
- constraints of the optimization problem include:
- solving the optimization problem and determining the optimized degree distribution of the rateless coding of the two users includes:
- the degree distribution coefficient of the edge of the output node of the LT code graph corresponding to the optimal solution the degree distribution of the LT code graph without the rate code corresponding to the two users is calculated.
- a rateless coding method for two-user uplink transmission is also provided, which is applied to two sending node devices for uplink transmission of user information to a distributed multi-antenna system under a block fading channel.
- rateless coding is performed on the user information of the two users respectively.
- a two-user uplink transmission method which is applied to a distributed multi-antenna system under a block fading channel, and the method includes:
- the distributed multi-antenna system receives uplink transmission signals from multiple remote radio heads to obtain the uplink transmission signals of the two users; wherein, the uplink transmission signal is based on the rateless coding method described in the second aspect.
- the user information of the two users is obtained by rate-free coding and then modulation;
- the distributed multi-antenna system performs preprocessing and quantization processing on the uplink transmission signals of the two users respectively to obtain the quantized signals of the two users;
- the distributed multi-antenna system performs soft demodulation on the quantized signal of the other of the two users according to the decoding output of one of the two users in the previous round of decoding, and then uses The belief propagation algorithm performs joint decoding to obtain the user information of the two users respectively.
- the initial decoding output of the one user is used to soft demodulate the quantized signal of the other user in the first round of decoding, wherein the initial decoding output is 1.
- a rateless code decoding method for uplink transmission of two users is also provided, which is applied to a distributed multi-antenna system under a block fading channel.
- the uplink transmission of the two users adopts the method described in the third aspect.
- the rate-free code decoding method for the two-user uplink transmission includes:
- iterative decoding is performed on the LDPC code pattern respectively until the decoding is correct or the maximum number of iterations is reached.
- a rateless encoding device for two-user uplink transmission which is applied to a sending node device, and the device includes:
- a determining module configured to determine the optimized degree distribution of the two users for the rateless coding according to the method for optimizing the degree distribution of the rateless coding according to the first aspect
- the rateless coding module is configured to perform rateless coding on the user information of the sending node device according to the degree distribution of the rateless coding.
- a rateless code decoding device for uplink transmission of two users is also provided, which is applied to a distributed multi-antenna system under a block fading channel.
- the uplink transmission of the two users adopts the method described in the third aspect.
- the rateless code decoding device for the two-user uplink transmission includes:
- the first decoding module is configured to perform iterative decoding on the entire decoding graph for each of the two users until the average value of the log likelihood ratio of the input node of each of the two users Exceed the preset threshold;
- the second decoding module is configured to respectively perform iterative decoding on the LDPC code pattern for each of the two users until the decoding is correct or the maximum number of iterations is reached.
- a distributed multi-antenna system is also provided.
- the distributed multi-antenna system is applied to a block fading channel.
- the distributed multi-antenna system includes multiple remote radio heads and baseband processing. Unit pool, where
- the remote radio head is used to receive an uplink transmission signal and send the uplink transmission signal to the baseband processing unit pool after preprocessing and quantization processing; wherein the uplink transmission signal is according to the second aspect
- the rateless coding method is obtained by performing rateless coding on the user information of the two users and then modulating;
- the baseband processing unit pool is used to perform soft demodulation on the quantized signal of the other user of the two users according to the decoding output of one user of the two users in the previous round of decoding process, and then The belief propagation algorithm is used for joint decoding to obtain the user information of the two users respectively.
- the baseband processing unit pool is also used to perform soft demodulation on the quantized signal of the other user with the initial decoding output of the one user in the first round of decoding, where all The initial decoding output is 1.
- the baseband processing unit pool includes a first decoding module and a second decoding module, wherein,
- the first decoding module is configured to perform iterative decoding on the entire decoding graph for each of the two users until the log-likelihood ratio of the input node of each of the two users is determined The average value exceeds the preset threshold;
- the second decoding module is configured to respectively perform iterative decoding on the LDPC code pattern for each of the two users until the decoding is correct or the maximum number of iterations is reached.
- the above-mentioned two-user uplink transmission optimization method for the frequency distribution of the rateless coding, the rateless coding method for the two-user uplink transmission, the rateless code decoding method for the two-user uplink transmission, the two-user uplink transmission method, and the no-rate for the two-user uplink transmission The encoding device and the rateless code decoding device for two-user uplink transmission have the following advantages:
- the Raptor encoding is performed according to the preset average code length to minimize the signal noise
- the goal is to optimize the optimization problem of the degree distribution coefficients of the two-user rateless coding; solve the optimization problem, determine the optimal method of the degree distribution of the two-user rateless coding, and solve the problem of the rateless coding in the related technology.
- the degree optimization needs to know the global network channel state information, which causes the problem of high system signaling overhead, which reduces the signaling overhead of rateless coding.
- Fig. 1 is a schematic diagram of an uplink transmission process of a two-user distributed multi-antenna system according to an embodiment of the present application.
- FIG. 2 is a flowchart of a method for optimizing the frequency distribution of rateless coding for uplink transmission of two users according to an embodiment of the present application.
- Fig. 3 is a preferred flowchart of a method for optimizing the frequency distribution of rateless coding for uplink transmission of two users according to an embodiment of the present application.
- Fig. 4 is a flowchart of a rateless coding method for two-user uplink transmission according to an embodiment of the present application.
- Fig. 5 is a flowchart of a two-user uplink transmission method according to an embodiment of the present application.
- Fig. 6 is a flowchart of a process of joint decompression and decoding of the received signals of two users by the distributed multi-antenna system according to an embodiment of the present application.
- Fig. 7 is a flowchart of a rateless code decoding method for two-user uplink transmission according to an embodiment of the present application.
- FIG. 8 is a schematic diagram of joint decoding of a pool of baseband processing units according to an embodiment of the present application.
- Fig. 9 is a structural block diagram of a rateless coding apparatus for two-user uplink transmission according to an embodiment of the present application.
- Fig. 10 is a structural block diagram of a rateless code decoding device for two-user uplink transmission according to an embodiment of the present application.
- FIG. 11 is a schematic structural diagram of a distributed multi-antenna system according to an embodiment of the present application.
- FIG. 12 is a schematic diagram of a preferred structure of a distributed multi-antenna system according to an embodiment of the present application.
- the various technologies described in this article can be used in various mobile communication systems, such as 2G, 3G, 4G, and 5G mobile communication systems and next-generation mobile communication systems, such as the Global System for Mobile communications (GSM) , Code Division Multiple Access (CDMA) system, Time Division Multiple Access (TDMA) system, Wideband Code Division Multiple Access (Wireless, abbreviated as WCDMA), Frequency Division Multiple Access (Frequency Division Multiple Addressing, FDMA) system, Orthogonal Frequency-Division Multiple Access (OFDMA) System, Single Carrier FDMA (SC-FDMA) System, General Packet Radio Service (General Packet Radio Service, GPRS) system, Long Term Evolution (LTE) system, 5G New Radio (NR) system, and other such communication systems.
- GSM Global System for Mobile communications
- CDMA Code Division Multiple Access
- TDMA Time Division Multiple Access
- WCDMA Wideband Code Division Multiple Access
- OFDMA Frequency Division Multiple Access
- OFDMA Orthogonal Frequency
- this application determines that when Raptor encoding is performed according to the preset average code length, the goal is to minimize the signal-to-noise ratio Optimize the frequency distribution coefficients of the two-user rateless coding, thereby obtaining the optimal frequency distribution under all possible channel conditions.
- EXIT EXtrinsic Information Transfer
- rate-free coded user information transmission based on the optimal frequency distribution for uplink transmission of two users is compared to the solution in the related technology that needs to optimize the frequency distribution based on the current global channel state information, the embodiment of the present application does not need to know the current Channel state information can realize channel coding, thereby reducing system signaling overhead and making the throughput of the information transmission system closer to the theoretical limit.
- the embodiments of the present application are particularly suitable for two-user uplink transmission based on rateless coding in a block fading distributed multi-antenna system.
- the user in the embodiments of the present application refers to a sending node device that sends user information
- the sending node device may be a smart terminal or a relay device and other sending node devices that need to send user information.
- Fig. 1 is a schematic diagram of the uplink transmission process of a two-user distributed multi-antenna system according to an embodiment of the present application.
- the LDPC code with the code rate of R p is used as the precoding of the rateless code, and then the degree distribution is LT code of, where d c is the maximum output degree, ⁇ i,d and ⁇ i,d are the probability that the degree of c i is equal to d.
- the degree distribution of the LT coding in the rateless coding is determined according to the method for optimizing the degree distribution of the rateless coding for uplink transmission of two users in the embodiment of the present application.
- FIG. 2 is a flowchart of a method for optimizing the frequency distribution of rateless coding for uplink transmission of two users according to an embodiment of the present application. The process includes the following steps:
- Step S200 According to the statistical information of the channel state and the external information transfer analysis of the decoding process of the two users, it is determined that when the Raptor coding is performed according to the preset average code length, the target of minimizing the signal-to-noise ratio is optimized, and the rateless coding of the two users is optimized The optimization problem of the degree distribution coefficient of.
- step S200 may include the following steps:
- Step S200-1 External information analysis (EXIT) of the decoding process.
- the LLR message is transmitted on the decoding picture of user 1:
- Step S200-1-1 The LT input node passes the LLR message to the LDPC code graph check node, and the external information it carries is:
- ⁇ 1,d is the proportion of the input node with degree d in the LT decoding graph
- d v is the maximum degree of the input node of the LT code graph
- Step S200-1-2 The external information that the LDPC check node sends back to the LT input node is:
- ⁇ d is the proportion of variable nodes with degree d in the LDPC code graph
- d′ v is the maximum degree of the variable node in the LDPC code graph
- d′ c is the maximum degree of the check node in the LDPC code graph
- Step S200-1-3 The external information that the LT input node transmits the message to the output node is:
- Step S200-1-4 The external information returned by the LT output node to the LT input node is:
- I the output external information of the MU detector, which is composed of the channel matrix H and the external information of the output node of user 2
- I DET1 aI out2 + b
- a and b are constants, which are determined by two endpoints, namely (0, I DET1 (0; H)) and (1, I DET1 (1; H)), where I(.) means mutual information
- Step S200-1-5 External information transmitted from the output node of user 1 to the MU detector:
- the transfer process of the external information of the user 2 is consistent with the transfer process of the user 1, as shown in step S200-2-1 to step S200-2-5.
- Step S200-3 Optimize the degree distribution according to external information analysis.
- the code length of Raptor code is expressed as
- the probability of each case is expressed as Pr(H q ). Therefore, the average code length of the Raptor code under the channel condition is:
- C i (H q ,P) is the theoretical achievable rate of user i when the channel matrix is H q and the transmission power is P:
- R 1 and R 2 are the achievable rates of user 1 and user 2
- Step S200-4 Determine the optimization problem, the optimization problem is listed as follows:
- constraints of the optimization problem include:
- L is the minimum Raptor code length required to successfully transmit information of length K, that is, the preset average code length, expressed as:
- C2 is the starting condition of the BP algorithm, where ⁇ is a small amount greater than zero;
- C3 guarantees that the average degree at the input node is When the degree distribution is ⁇ i,d ⁇ , it can be successfully decoded under all channels;
- C4 comes from (9)(18), that is, the average code length is fixed at L.
- Step S201 Solve the optimization problem, and determine the optimized degree distribution of the rateless coding of the two users.
- the above optimization problem can be solved by any solution method in related technologies, such as genetic algorithm or differential evolution algorithm.
- the differential evolution algorithm can be used to calculate the optimal solution of the above optimization problem, and then the degree distribution coefficients of the edges of the output node of the LT code graph corresponding to the optimal solution can be used to calculate the corresponding non-uniformity of the two users.
- the degree distribution of the LT code diagram of the rate code for example, by the formula The conversion obtains the optimal rateless code degree distribution ⁇ i (x).
- This embodiment also provides a rateless coding method for uplink transmission of two users.
- the rateless coding method is applied to two sending node devices for uplink transmission of user information to a distributed multi-antenna system under a block fading channel.
- Fig. 4 is a flow chart of a rateless coding method for two-user uplink transmission according to an embodiment of the present application. The process includes the following steps:
- Step S200 According to the statistical information of the channel state and the external information transfer analysis of the decoding process of the two users, it is determined that when the Raptor coding is performed according to the preset average code length, the target of minimizing the signal-to-noise ratio is optimized, and the rateless coding of the two users is optimized The optimization problem of the degree distribution coefficient of;
- Step S201 Solve the optimization problem, and determine the degree distribution of the optimized two-user rateless coding
- Step S202 According to the degree distribution of the rateless coding, the user information of the two users are respectively subjected to rateless coding.
- the above-mentioned two-user uplink transmission rateless coding method optimizes the degree distribution of the rateless code to be used by each user based on the statistical information of the channel state of the distributed multi-antenna system under the block fading channel based on external information transmission (EXIT) analysis , And then the user encodes the original information using the rate-free code under the degree distribution, modulates the codeword and sends it to the remote radio head (RRH), and then the RRH preprocesses the received signal to obtain the baseband signal and After quantizing the baseband signals, they are sent to the baseband processing unit (BBU) pool through the high-speed fronthaul link, and finally the baseband processing unit pool applies the belief propagation (BP) algorithm to jointly decompress and decode the received signals.
- EXIT external information transmission
- FIG. 5 is a flowchart of a two-user uplink transmission method according to an embodiment of the present application. The process includes the following steps:
- Step S200 According to the statistical information of the channel state and the external information transfer analysis of the decoding process of the two users, it is determined that when the Raptor coding is performed according to the preset average code length, the target of minimizing the signal-to-noise ratio is optimized, and the rateless coding of the two users is optimized The optimization problem of the degree distribution coefficient of;
- Step S201 Solve the optimization problem, and determine the degree distribution of the optimized two-user rateless coding
- Step S202 The two sending node devices respectively perform rateless coding on their respective user information according to the degree distribution of the rateless coding;
- Step S203 The two sending node devices respectively modulate the encoded non-rate code into an uplink transmission signal, and send the uplink transmission signal to the remote radio head covering the sending node device;
- Step S204 The distributed multi-antenna system receives uplink transmission signals from multiple remote radio heads, and obtains uplink transmission signals of two users;
- Step S205 The remote radio head of the distributed multi-antenna system performs preprocessing and quantization processing on the uplink transmission signals of the two users respectively to obtain the quantized signals of the two users;
- Step S206 The baseband processing unit pool of the distributed multi-antenna system performs soft demodulation on the quantized signal of the other user of the two users according to the decoding output of one user of the two users in the previous round of decoding process, Then the belief propagation algorithm is used for joint decoding, and the user information of the two users is obtained respectively.
- step S206 the baseband processing unit pool performs soft demodulation on the quantized signal of another user with the initial decoding output of one user during the first round of decoding process of the pool of the baseband processing unit, where the initial decoding output is 1. .
- Fig. 6 is a flowchart of the process of joint decompression and decoding of the received signals of two users by the distributed multi-antenna system according to the preferred embodiment of the present application. The process includes the following steps:
- the RRH sends the obtained quantized signal to the baseband processing unit pool through the high-speed fronthaul link.
- Step S602 The two-user detector (MU) in the baseband processing unit pool according to the quantized signal And the output soft information LLR e [c i ] of the decoder to calculate the log-likelihood ratio (LLR) of the output codeword c i of user i, expressed as:
- LLR e [c i′ ] is the decoding output of other users in the previous round.
- Step S603 The baseband processing unit pool performs detection and decoding based on the BP algorithm.
- This embodiment also provides a rateless code decoding method for two-user uplink transmission, which is applied to the baseband processing unit pool for the detection and decoding process based on the belief propagation algorithm.
- the rate-free codes of the uplink transmission of the two users are encoded by the rate-free coding method provided in the embodiment of the present application.
- FIG. 7 is a flowchart of a rateless code decoding method for uplink transmission of two users according to an embodiment of the present application.
- FIG. 8 is a schematic diagram of joint decoding of a baseband processing unit pool in a preferred embodiment of the present application, as shown in FIG. 7 and FIG. 8 , The process includes the following steps:
- Step S701 For each of the two users, perform iterative decoding on the entire decoding graph until the average value of the log-likelihood ratio of the input node of each of the two users exceeds a preset threshold.
- iterative decoding (including the detector) is performed on the entire decoding graph until the average value of the LLR of each user's input node exceeds a certain exceeding threshold m th , for example:
- the message is first transmitted on the decoding picture of user 1, as shown in the following steps 1 to 6:
- Step 1 The message is transmitted from the input node i to the LDPC check node c:
- o is the output node connected to the input node.
- Step 2 The message sent by the verification node c back to the input node i is updated to:
- i' is the input node connected to the check node c except the input node i in the decoding graph.
- the input node i transmits to step 3:
- the message of the output node o is updated to:
- o′ represents the output node other than o.
- Step 4 The message sent by the output node o back to the input node i is updated to:
- i′ represents the input node other than i
- z o is the LLR output by the MU detector, which can be calculated by formula (22).
- Step 5 The message LLR e [c 1 ] sent to the MU detector is expressed as:
- Step 6 The LLR of input node i is:
- Step S702 For each of the two users, iterative decoding is performed on the LDPC code pattern respectively until the decoding is correct or the maximum number of iterations is reached.
- each user when the average LLR of each user's input node exceeds the threshold m th , each user independently performs iterative decoding on the LDPC code graph to eliminate residual errors.
- each user In the second step, each user independently performs iterative decoding on the LDPC code map. It is the same as steps 1 and 2 in the above step S701. According to the judgment output result, if the decoding is not correct, the iteration continues. If the decoding is correct or reaches the maximum The number of iterations t ends decoding.
- FIG. 9 is a structural block diagram of a rateless encoding device for uplink transmission by two users according to an embodiment of the present application.
- the rateless encoding device for uplink transmission by two users includes:
- the determining module 91 is configured to determine the optimized frequency distribution of the two users of the non-rate coding according to the optimization method of the frequency distribution of the non-rate coding;
- the rateless encoding module 92 coupled to the determining module 91, is configured to perform rateless encoding on the user information of the sending node device according to the degree distribution of the rateless encoding.
- the preset average code length is determined according to the statistical information of the channel state of the block fading channel.
- optimization problems are listed as follows:
- constraints of the optimization problem include:
- the determining module 91 includes: a determining unit for determining the optimal solution of the optimization problem using a differential evolution algorithm; a computing unit, coupled to the determining unit, for determining the LT code pattern corresponding to the optimal solution Output the degree distribution coefficient of the edge of the node, and calculate the degree distribution of the LT code graph without the rate code corresponding to the two users.
- This embodiment also provides a rateless code decoding device for two-user uplink transmission, which is applied to a distributed multi-antenna system under a block fading channel.
- the device is used to implement the above-mentioned two-user uplink transmission rateless code decoding method, wherein the rateless code used for the uplink transmission of the two users is encoded using the rateless coding method provided in the embodiment of the present application.
- FIG. 10 is a structural block diagram of a rateless code decoding device for uplink transmission of two users according to an embodiment of the present application.
- the rateless code decoding device for uplink transmission of two users includes:
- the first decoding module 101 is used to perform iterative decoding on the entire decoding graph for each of the two users until the average value of the log-likelihood ratio of the input node of each of the two users exceeds the preset value Threshold
- the second decoding module 102 coupled to the first decoding module 101, is configured to perform iterative decoding on the LDPC code pattern for each of the two users respectively until the decoding is correct or the maximum number of iterations is reached.
- FIG. 11 is a schematic structural diagram of a distributed multi-antenna system according to an embodiment of the present application.
- the distributed multi-antenna system includes a plurality of remote radio heads 111 and a baseband processing unit pool 112, in which,
- the remote radio head 111 is used to receive the uplink transmission signal and send the uplink transmission signal to the baseband processing unit pool 112 after preprocessing and quantization processing; wherein, the uplink transmission signal is based on the rate-free coding method provided by the embodiment of the present application.
- the user information of the user is obtained by rate-free coding and then modulation;
- the baseband processing unit pool coupled to the remote radio head 111, is used to perform soft demodulation of the quantized signal of the other user of the two users according to the decoding output of one user of the two users in the previous round of decoding process Then, the belief propagation algorithm is used for joint decoding, and the user information of the two users is obtained respectively.
- the baseband processing unit pool 112 is also used to perform soft demodulation on the quantized signal of another user with the initial decoding output of one user during the first round of decoding, where the initial decoding output is 1. .
- FIG. 12 is a schematic diagram of a preferred structure of a distributed multi-antenna system according to an embodiment of the present application.
- the baseband processing unit pool 112 includes a first decoding module 1121 and a second decoding module 1122, among which,
- the first decoding module 1121 is used to iteratively decode the entire decoding graph for each of the two users until the average value of the log-likelihood ratio of the input node of each of the two users exceeds the preset threshold ;
- the second decoding module 1122 coupled to the first decoding module 1121, is used to perform iterative decoding on the LDPC code pattern for each of the two users until the decoding is correct or the maximum number of iterations is reached.
- This embodiment also provides a computer-readable storage medium on which computer program instructions are stored.
- the computer program instructions are executed by a processor, the aforementioned two-user uplink transmission rateless encoding method is realized.
- This embodiment also provides a computer-readable storage medium on which computer program instructions are stored.
- the computer program instructions are executed by a processor, the foregoing two-user uplink transmission rateless code decoding method is realized.
- the disclosed system, device, or method may be implemented in other ways.
- the device embodiments described above are merely illustrative.
- the division of modules or units is only a logical function division.
- there may be other division methods for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented.
- the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.
- the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
- the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
- the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.
- the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
- the technical solution of the present application essentially or the part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , Including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor execute all or part of the steps of the methods in the various embodiments of the present application.
- the foregoing processor may include a central processing unit (CPU), or a specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), or may be configured to implement one or more integrated circuits of the embodiments of the present application.
- the above-mentioned storage medium can be used for mass storage of data or instructions.
- the memory may include a hard disk drive (Hard Disk Drive, referred to as HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (Universal Bus, referred to as USB) drive or two A combination of one or more of these.
- the storage may include removable or non-removable (or fixed) media.
- the memory can be internal or external to the data processing device.
- the memory is a non-volatile solid state memory.
- the memory includes read-only memory (ROM).
- ROM read-only memory
- the ROM can be mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically rewritable ROM (EAROM) or flash memory or A combination of two or more of these.
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Abstract
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Claims (13)
- 一种两用户上行传输的无速率编码的度数分布优化方法,应用于块衰落信道下的分布式多天线系统,其特征在于,所述方法包括:A method for optimizing the frequency distribution of rateless coding for two-user uplink transmission, which is applied to a distributed multi-antenna system under a block fading channel, and is characterized in that the method includes:根据信道状态的统计信息和两用户的译码过程的外信息传递分析,确定按照预设平均码长进行Raptor编码时,以最小化信噪比为目标,优化两用户的无速率编码的度数分布系数的最优化问题;According to the statistical information of the channel state and the external information transfer analysis of the decoding process of the two users, it is determined that when the Raptor coding is performed according to the preset average code length, with the goal of minimizing the signal-to-noise ratio, the degree distribution of the two users' rateless coding is optimized Optimization problem of coefficients;求解所述最优化问题,确定最优化的所述两用户的无速率编码的度数分布。Solve the optimization problem, and determine the optimized degree distribution of the rateless coding of the two users.
- 根据权利要求1所述的方法,其特征在于,所述预设平均码长是根据所述块衰落信道的信道状态的统计信息确定的。The method according to claim 1, wherein the preset average code length is determined according to the statistical information of the channel state of the block fading channel.
- 根据权利要求1所述的方法,其特征在于,所述最优化问题列出如下:The method according to claim 1, wherein the optimization problem is listed as follows:所述最优化问题的约束条件包括:The constraints of the optimization problem include:(1)LT码图的输出节点的边的度数分布的和约束条件C1:(1) The degree distribution of the edge of the output node of the LT code graph and the constraint condition C1:(2)接收端译码启动条件C2:(2) Decoding start condition C2 at the receiving end:ω i,1>ε,i=1,2 ω i,1 >ε,i=1,2(3)接收端译码收敛条件C3:(3) Decoding convergence condition C3 at the receiving end:(4)预设平均码长的约束条件C4:(4) The constraint condition C4 of preset average code length:其中,P th为发送功率门限; 为与信道矩阵无关的常数;{ω i,d}为用户i的LT码图的输出节点的边的度数分布系数; 为独立高斯白噪声的方差;d c为LT码图的输出节点的边的最大度数;ω i,d为用户i对应的LT码图中度数为d的输出节点的边的度数分布系数;ε为大于零的预设值; 为在最大迭代次数l′下,用户i对应的LT码图的输出节点传回LT码图的输入节点的外信息; 为外信息门限;H q为将信道矩阵H分布空间离散成Q种情况中的第q种情况下的信道矩阵,q=1,…,Q;K为原始信息的长度;R p为无速率编码中LDPC码的码率;Pr(H q)为信道矩阵为H q的概率;C(H q,P th)为信道矩阵为H q,发送功率为P th时的用户i的理论可达速率;L为Raptor码的预设平均码长。 Among them, P th is the transmit power threshold; Is a constant irrelevant to the channel matrix; {ω i,d } is the degree distribution coefficient of the edge of the output node of the LT code graph of user i; Is the variance of independent Gaussian white noise; d c is the maximum degree of the edge of the output node of the LT code graph; ω i,d is the degree distribution coefficient of the edge of the output node of the degree d in the LT code graph corresponding to user i; ε; Is a preset value greater than zero; In order for the output node of the LT code graph corresponding to user i to return the external information of the input node of the LT code graph under the maximum number of iterations l′; Is the external information threshold; H q is the channel matrix in the q-th case where the distribution space of the channel matrix H is discretized into Q cases, q=1,...,Q; K is the length of the original information; R p is no rate The code rate of the LDPC code in the encoding; Pr(H q ) is the probability that the channel matrix is H q ; C(H q , P th ) is the channel matrix H q and the theoretical reach of user i when the transmission power is P th Rate; L is the preset average code length of the Raptor code.
- 根据权利要求1所述的方法,其特征在于,所述求解所述最优化问题,确定最优化的所述两用户的无速率编码的度数分布包括:The method according to claim 1, wherein the solving the optimization problem and determining the optimized degree distribution of the two-user rateless coding comprises:采用差分进化算法确定所述最优化问题的最优解;Using a differential evolution algorithm to determine the optimal solution of the optimization problem;根据所述最优解对应的LT码图的输出节点的边的度数分布系数,计算所述两用户对应的无速率码的LT码图的度数分布。According to the degree distribution coefficient of the edge of the output node of the LT code graph corresponding to the optimal solution, the degree distribution of the LT code graph without the rate code corresponding to the two users is calculated.
- 一种两用户上行传输的无速率编码方法,应用于向块衰落信道下的分布式多天线系统上行传输用户信息的两个发送节点设备,其特征在于包括:A rateless coding method for two-user uplink transmission, which is applied to two sending node devices for uplink transmission of user information to a distributed multi-antenna system under a block fading channel, and is characterized in that it includes:根据权利要求1至4中任一项所述的无速率编码的度数分布优化方法确定最优化的所述两用户的无速率编码的度数分布;According to the method for optimizing the frequency distribution of rateless coding according to any one of claims 1 to 4, determine the optimized frequency distribution of the rateless coding of the two users;根据所述无速率编码的度数分布,分别对所述两用户的用户信息进行无速率编码。According to the degree distribution of the rateless coding, rateless coding is performed on the user information of the two users respectively.
- 一种两用户上行传输方法,应用于块衰落信道下的分布式多天线系统,其特征在于,所述方法包括:A two-user uplink transmission method, applied to a distributed multi-antenna system under a block fading channel, characterized in that the method includes:所述分布式多天线系统从多个射频拉远头接收上行传输信号,得到所述两用户的上行传输信号;其中,所述上行传输信号是根据权利要求5所述的无速率编码方法对所述两用户的用户信息进行无速率编码后再调制得到的;The distributed multi-antenna system receives uplink transmission signals from multiple remote radio heads to obtain the uplink transmission signals of the two users; wherein, the uplink transmission signal is based on the rateless coding method according to claim 5. The user information of the two users is obtained by rate-free coding and then modulation;所述分布式多天线系统对所述两用户的上行传输信号分别进行预处理和量化处理,得到所述两用户的量化信号;The distributed multi-antenna system performs preprocessing and quantization processing on the uplink transmission signals of the two users respectively to obtain the quantized signals of the two users;所述分布式多天线系统根据所述两用户中的一个用户在上一轮译码过程中的译码输出,对所述两用户中的另一个用户的量化信号进行软解调后,再利用置信传播算法进行联合译码,分别得到所述两用户的用户信息。The distributed multi-antenna system performs soft demodulation on the quantized signal of the other of the two users according to the decoding output of one of the two users in the previous round of decoding, and then uses The belief propagation algorithm performs joint decoding to obtain the user information of the two users respectively.
- 根据权利要求6所述的方法,其特征在于,首轮译码过程中以所述一个用户的初始化译码输出对所述另一个用户的量化信号进行软解调,其中,所述初始化译码输出为1。The method according to claim 6, characterized in that, in the first round of decoding, the quantized signal of the other user is soft-demodulated using the initial decoding output of the one user, wherein the initial decoding The output is 1.
- 一种两用户上行传输的无速率码译码方法,应用于块衰落信道下的分布式多天线系统,其特征在于,所述两用户的上行传输采用权利要求6或7所述的两用户上行传输方法,所述两用户上行传输的无速率码译码方法包括:A rateless code decoding method for two-user uplink transmission, applied to a distributed multi-antenna system under a block fading channel, characterized in that the two-user uplink transmission adopts the two-user uplink transmission described in claim 6 or 7. Transmission method, the rate-free code decoding method for uplink transmission of two users includes:对于所述两用户中的每个用户,在整个译码图进行迭代译码,直至所述两用户中每个用户的输入节点的对数似然比的平均值超过预设门限;For each of the two users, iterative decoding is performed on the entire decoding graph until the average value of the log-likelihood ratio of the input node of each of the two users exceeds a preset threshold;对于所述两用户中的每个用户,分别在LDPC码图上进行迭代译码,直至译码正确或达到最大迭代次数。For each of the two users, iterative decoding is performed on the LDPC code pattern respectively until the decoding is correct or the maximum number of iterations is reached.
- 一种两用户上行传输的无速率编码装置,应用于发送节点设备,其特征在于,所述装置包括:A rateless coding device for two-user uplink transmission, which is applied to a sending node device, and is characterized in that the device includes:确定模块,用于根据权利要求1至4中任一项所述的无速率编码的度数分布优化方法确定最优化的所述两用户的无速率编码的度数分布;A determining module, configured to determine the optimized degree distribution of the two users of the rateless coding according to the method for optimizing the degree distribution of the rateless coding according to any one of claims 1 to 4;无速率编码模块,用于根据所述无速率编码的度数分布,对所述发送节点设备的用户信息进行无速率编码。The rateless coding module is configured to perform rateless coding on the user information of the sending node device according to the degree distribution of the rateless coding.
- 一种两用户上行传输的无速率码译码装置,应用于块衰落信道下的分布式多天线系统,其特征在于,所述两用户的上行传输采用权利要求6或7所述的两用户上行传输方法,所述两用户上行传输的无速率码译码装置包括:A rateless code decoding device for two-user uplink transmission, which is applied to a distributed multi-antenna system under a block fading channel, characterized in that the two-user uplink transmission adopts the two-user uplink transmission described in claim 6 or 7. In the transmission method, the rateless code decoding device for uplink transmission of two users includes:第一译码模块,用于对于所述两用户中的每个用户,在整个译码图进行迭代译码,直至所述两用户中每个用户的输入节点的对数似然比的平均值超过预设门限;The first decoding module is configured to perform iterative decoding on the entire decoding graph for each of the two users until the average value of the log likelihood ratio of the input node of each of the two users Exceed the preset threshold;第二译码模块,用于对于所述两用户中的每个用户,分别在LDPC码图上进行迭代译码,直至译码正确或达到最大迭代次数。The second decoding module is configured to respectively perform iterative decoding on the LDPC code pattern for each of the two users until the decoding is correct or the maximum number of iterations is reached.
- 一种分布式多天线系统,所述分布式多天线系统应用于块衰落信道下,其特征在于,所述分布式多天线系统包括多个射频拉远头、基带处理单元池,其中,A distributed multi-antenna system, the distributed multi-antenna system is applied to a block fading channel, characterized in that the distributed multi-antenna system includes a plurality of radio frequency remote heads and a pool of baseband processing units, wherein:所述射频拉远头用于接收上行传输信号并将所述上行传输信号进行预处理和量化处理后发送给所述基带处理单元池;其中,所述上行传输信号是根据权利要求5所述的无速率编码方法对所述两用户的用户信息进行无速率编码后再调制得到的;The remote radio head is used to receive an uplink transmission signal and send the uplink transmission signal to the baseband processing unit pool after preprocessing and quantization processing; wherein the uplink transmission signal is according to claim 5 The rateless coding method is obtained by performing rateless coding on the user information of the two users and then modulating;所述基带处理单元池用于根据所述两用户中的一个用户在上一轮译码过程中的译码输出,对所述两用户中的另一个用户的量化信号进行软解调后,再利用置信传播算法进行联合译码,分别得到所述两用户的用户信息。The baseband processing unit pool is used to perform soft demodulation on the quantized signal of the other user of the two users according to the decoding output of one user of the two users in the previous round of decoding process, and then The belief propagation algorithm is used for joint decoding to obtain the user information of the two users respectively.
- 根据权利要求11所述的分布式多天线系统,其特征在于,所述基带处理单元池还用于在首轮译码过程中以所述一个用户的初始化译码输出对所述另一个用户的量化信号进行软解调,其中,所述初始化译码输出为1。The distributed multi-antenna system according to claim 11, wherein the baseband processing unit pool is further configured to use the initial decoding output of the one user to send a message to the other user during the first round of decoding. The quantized signal is subjected to soft demodulation, wherein the initial decoding output is 1.
- 根据权利要求11所述的分布式多天线系统,其特征在于,所述基带处理单元池包括第一译码模块和第二译码模块,其中,The distributed multi-antenna system according to claim 11, wherein the baseband processing unit pool includes a first decoding module and a second decoding module, wherein,所述第一译码模块,用于对于两用户中的每个用户,在整个译码图进行迭代译码,直至所述两用户中每个用户的输入节点的对数似然比的平均值超过预设门限;The first decoding module is configured to perform iterative decoding on the entire decoding graph for each of the two users until the average value of the log likelihood ratio of the input node of each of the two users Exceed the preset threshold;第二译码模块,用于对于所述两用户中的每个用户,分别在LDPC码图上进行迭代译码,直至译码正确或达到最大迭代次数。The second decoding module is configured to respectively perform iterative decoding on the LDPC code pattern for each of the two users until the decoding is correct or the maximum number of iterations is reached.
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