WO2022188000A1 - Procédé de communication et appareil de communication - Google Patents

Procédé de communication et appareil de communication Download PDF

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Publication number
WO2022188000A1
WO2022188000A1 PCT/CN2021/079557 CN2021079557W WO2022188000A1 WO 2022188000 A1 WO2022188000 A1 WO 2022188000A1 CN 2021079557 W CN2021079557 W CN 2021079557W WO 2022188000 A1 WO2022188000 A1 WO 2022188000A1
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Prior art keywords
parameter
information
modulo
signal
matrix
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PCT/CN2021/079557
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English (en)
Chinese (zh)
Inventor
郭森宝
李桂宝
乐春晖
朱艳青
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华为技术有限公司
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Priority to PCT/CN2021/079557 priority Critical patent/WO2022188000A1/fr
Publication of WO2022188000A1 publication Critical patent/WO2022188000A1/fr

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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

Definitions

  • the present application relates to the field of communication, and in particular, to a communication method and a communication device.
  • precoding technology can eliminate interference between users in multiple input multiple output (MIMO) links, and effectively improve the throughput and spectral efficiency of signal transmission.
  • MIMO multiple input multiple output
  • Precoding techniques include linear precoding techniques and nonlinear precoding techniques.
  • the linear precoding technique can be implemented based on zero forcing (ZF) or minimum mean square error (MMSE).
  • ZF zero forcing
  • MMSE minimum mean square error
  • linear precoding will cause the signal-to-noise ratio of the receiver to deteriorate, and it is difficult to achieve ideal performance, especially when the users are non-uniformly distributed and the multi-user channel matrix is highly correlated, the signal-to-noise ratio reduction phenomenon will be more obvious.
  • the nonlinear precoding technique can be implemented based on the THP precoding (tomlison-harashima precoding) algorithm and the vector disturbance (Vector disturbance, VP) precoding algorithm.
  • the THP precoding algorithm can pre-eliminate interference by performing interference cancellation at the transmitter, thereby reducing the zero-forcing space constraint and improving the signal-to-noise ratio at the receiver.
  • the VP precoding algorithm can orthogonalize the channel and signal through the transmitting end, reduce the equivalent channel condition number, and improve the signal-to-noise ratio at the receiving end.
  • nonlinear precoding will be affected by actual channel estimation and adaptive modulation and coding (AMC). Although it can improve the signal-to-noise ratio at the receiving end, there will be a negative gain in performance.
  • AMC adaptive modulation and coding
  • the present application provides a communication method and a communication device, which are beneficial to improve the signal-to-noise ratio of the receiving end and increase the performance gain of nonlinear precoding.
  • a communication method comprising: receiving first information from a network device, where the first information is used to indicate at least one of a first parameter, a second parameter or a third parameter, wherein the first The parameters include a parameter for increasing or decreasing the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, and the third parameter includes a modulation and coding scheme (MCS) , the MCS is used to determine the modulo interval; according to the first information, a signal is received or sent.
  • MCS modulation and coding scheme
  • the first information may include the value of at least one of the first parameter, the second parameter or the third parameter, and may also include indication information of at least one of the first parameter, the second parameter or the third parameter.
  • the indication information is used to indicate the value of at least one of the first parameter, the second parameter or the third parameter.
  • the terminal device may increase or decrease the modulo interval according to the first parameter indicated by the first information.
  • the terminal device may determine the disturbance vector according to the parameter that maximizes the signal-to-interference-plus-noise ratio according to the second parameter indicated by the first information.
  • the terminal device may determine the modulo interval according to the third parameter indicated by the first information.
  • the modulo interval by adjusting the modulo interval, determining the disturbance vector, and unifying the modulo interval of the terminal equipment, it is beneficial to reduce the modulo loss of the precoding algorithm (such as the THP algorithm or the VP algorithm), and stably improve the reception. While improving the signal-to-noise ratio of the terminal, the performance gain of the system is increased.
  • the precoding algorithm such as the THP algorithm or the VP algorithm
  • the first parameter includes a parameter used to increase or decrease the modulo interval.
  • the parameter can be a direct parameter or an indirect parameter, that is, the parameter can be a specific value for increasing or decreasing the modulo interval, or it can be a
  • the terminal device increases or decreases the specific value of the modulo interval according to it.
  • the network device performs a modulo operation on the information to be transmitted according to the modulo interval determined by the first parameter, and sends the first parameter and a signal bearing the information to the terminal device.
  • the terminal device receives the first parameter, and can perform a modulo operation on the received information according to the first parameter to obtain corresponding original information.
  • the first parameter can be used in both the THP algorithm and the VP algorithm.
  • the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio.
  • the parameter can be a direct parameter or an indirect parameter, that is, the parameter can be a specific value that maximizes the signal-to-interference-plus-noise ratio, or it can be
  • the terminal device derives a specific value based on which to maximize the signal-to-interference-plus-noise ratio.
  • the network device determines a perturbation vector according to the second parameter, determines a precoding matrix according to the parameter of the mean square error weight between perturbed data, and processes the information to be transmitted according to the perturbation vector and the precoding matrix to obtain a data symbol, which is sent to the terminal.
  • the device sends a signal carrying the data symbol and the second parameter.
  • the terminal device can perform a modulo operation on the received data symbol according to the second parameter to obtain corresponding original information.
  • the second parameter can be used in the VP algorithm.
  • the third parameter includes the modulation and coding strategy MCS, which can be a direct parameter or an indirect parameter, that is, the parameter can be the modulation order and/or the target code rate, or the modulation order and / or target bitrate.
  • MCS modulation and coding strategy
  • the modulo intervals of different terminal devices are different, which will affect the performance of the system. Therefore, in this embodiment of the present application, by configuring the third parameter, different terminal devices use the same modulo interval. It should be understood that the third parameter can be used in both the THP algorithm and the VP algorithm.
  • receiving a signal according to the first information includes: receiving a signal carrying a data symbol from a network device; performing a modulo operation on the data symbol based on the first parameter, The modulo result is obtained, where the modulo operation is calculated by the following formula:
  • sending a signal according to the first information includes: performing continuous interference cancellation SIC on the information to be transmitted to obtain a SIC result where the SIC result is expressed by the following formula:
  • a k is the information to be transmitted, and K is the number of antennas or layers; according to the first parameter, the modulo operation is performed on the SIC result to obtain the modulo result, wherein the modulo operation is calculated by the following formula:
  • ⁇ is the first parameter
  • M is the number of constellation points
  • Q is the Q matrix for QR decomposition of the channel matrix
  • G is the diagonal matrix formed by the reciprocal values of the values of the diagonal elements in the R matrix
  • receiving a signal according to the first information includes: receiving a signal carrying a data symbol x from a network device, where the data symbol is represented by the following formula:
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the inverse of the signal-to-noise ratio
  • N t is the number of antennas or layers
  • ⁇ 1 is the parameter used to maximize the signal-to-interference-plus-noise ratio in the second parameter
  • ⁇ 2 is Determine the parameters of the mean square error weight between the perturbed data, is a unit matrix with dimension N t ; according to the second parameter, the modulo operation is performed on the data symbol to obtain the modulo result; the decision feedback equalization DFE operation is performed on the modulo result to obtain the DFE result.
  • the communication method provided by the embodiment of the present application increases the performance gain of the system by maximizing the signal-to-interference-plus-noise ratio to determine the disturbance vector.
  • sending a signal according to the first information includes: determining a disturbance vector according to the second parameter, where the disturbance vector is calculated by the following formula:
  • ⁇ l is the disturbance vector
  • ⁇ 1 is the parameter used to maximize the signal-to-interference plus noise ratio in the second parameter
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the reciprocal of the signal-to-noise ratio
  • N t is the number of antennas or the number of layers, is an identity matrix with dimension N t ;
  • the precoding matrix is ⁇ 2 is a parameter to determine the weight of mean square error between disturbed data, Signals carrying data symbols are sent to network devices.
  • the second parameter further includes a parameter for determining the weight of the mean square error between the disturbance data.
  • the disturbance vector is determined by maximizing the signal-to-interference-plus-noise ratio, and the interference between each data is eliminated by determining the mean square error weight between the disturbance data, thereby increasing the performance gain of the system.
  • sending a signal according to the first information includes: determining a modulo interval according to a third parameter; determining a data symbol according to the modulo interval; Signal.
  • the first information is carried in downlink control signaling DCI or medium access control MAC layer signaling.
  • the network device may send the first information to the terminal device in two achievable manners.
  • the network device may send the first information to the terminal device through DCI, and correspondingly, the terminal device obtains the first information by receiving the DCI.
  • the network device may send the first information to the terminal device through MAC layer signaling, and correspondingly, the terminal device obtains the first information by receiving the MAC layer signaling.
  • the first information includes at least one of the following: the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the first set An index in a third set, where the first set includes candidate values for the first parameter, the second set includes candidate values for the second parameter, and the third set includes candidate values for the third parameter;
  • the method further includes: receiving second information from the network device, where the second information includes at least one of the first set, the second set or the third set.
  • the network device may send second information to the terminal device, where the second information includes the first set (possible candidate values of the first parameter), the second set (possible candidate values of the second parameter), or the third set ( at least one of the possible candidate values of the third parameter), and then send the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the third set to the terminal device at least one of the indices.
  • the terminal device receives at least one of the index of the first parameter, the index of the second parameter or the index of the third parameter, and determines the value of the first parameter, the value of the second parameter or the third parameter according to these indices at least one of the values.
  • the network device by pre-configuring a set of candidate values including parameters, the network device can configure the corresponding parameter by means of an index, which is beneficial to saving the signaling overhead of the network device.
  • the second information is carried in semi-static radio resource control RRC signaling.
  • the network device may send the second information to the terminal device through RRC signaling in a semi-static manner, and then send the first information to the terminal device through DCI or MAC layer signaling.
  • the terminal device may obtain the second information by receiving the RRC signaling, and then obtain the first information by receiving the DCI or MAC layer signaling.
  • another communication method including: sending first information to a terminal device, where the first information is used to indicate at least one of a first parameter, a second parameter or a third parameter, wherein the first parameter includes A parameter for increasing or decreasing the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, and the third parameter includes a modulation and coding strategy MCS, which is used by the terminal device to determine the modulo interval ; According to the first information, send or receive a signal.
  • receiving a signal according to the first information includes: receiving a signal carrying a data symbol from a terminal device; performing a modulo operation on the data symbol based on the first parameter, The modulo result is obtained, where the modulo operation is calculated by the following formula:
  • sending a signal according to the first information includes: performing continuous interference cancellation SIC on the information to be transmitted, to obtain a SIC result, where the SIC result is expressed by the following formula:
  • the modulo operation is performed on the SIC result to obtain the modulo result, wherein the modulo operation is calculated by the following formula:
  • ⁇ is the first parameter
  • M is the number of constellation points
  • Q is the Q matrix for QR decomposition of the channel matrix
  • G is the diagonal matrix formed by the reciprocal values of the values of the diagonal elements in the R matrix.
  • receiving a signal according to the first information includes: receiving a signal x that carries a data symbol from a terminal device, where the data symbol is represented by the following formula:
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the inverse of the signal-to-noise ratio
  • N t is the number of antennas or layers
  • ⁇ 1 is the parameter used to maximize the signal-to-interference-plus-noise ratio in the second parameter
  • ⁇ 2 is Determine the parameters of the mean square error weight between the perturbed data, is a unit matrix with dimension N t ; according to the second parameter, the modulo operation is performed on the data symbol to obtain the modulo result; the decision feedback equalization DFE operation is performed on the modulo result to obtain the DFE result.
  • sending a signal according to the first information includes: determining a disturbance vector according to the second parameter, where the disturbance vector is calculated by the following formula:
  • ⁇ l is the disturbance vector
  • ⁇ 1 is the parameter used to maximize the signal-to-interference plus noise ratio in the second parameter
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the reciprocal of the signal-to-noise ratio
  • N t is the number of antennas or the number of layers, is an identity matrix with dimension N t ;
  • the precoding matrix is ⁇ 2 is a parameter to determine the weight of mean square error between disturbed data, Signals carrying data symbols are sent to terminal equipment.
  • the second parameter further includes a parameter for determining the weight of the mean square error between the disturbance data.
  • sending a signal according to the first information includes: determining a modulo interval according to a third parameter; determining a data symbol according to the modulo interval; Signal.
  • the first information is carried in downlink control signaling DCI or medium access control MAC layer signaling.
  • the first information includes at least one of the following: the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the first set An index in a third set, where the first set includes candidate values for the first parameter, the second set includes candidate values for the second parameter, and the third set includes candidate values for the third parameter;
  • the method further includes: sending second information to the terminal device, where the second information includes at least one of the first set, the second set or the third set.
  • the second information is carried in semi-static radio resource control RRC signaling.
  • the modulation order and/or code rate corresponding to the MCS is the largest among multiple terminal devices that communicate simultaneously.
  • a communication device in a third aspect, includes a transceiver unit and a processing unit.
  • the transceiver unit is configured to: receive first information from a network device, where the first information is used to indicate at least one of a first parameter, a second parameter or a third parameter, wherein the first parameter includes an A parameter that increases or decreases the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, and the third parameter includes a modulation and coding strategy MCS, which is used to determine the modulo interval ;
  • the processing unit is used for: determining the signal according to the first information;
  • the transceiver unit is also used for: receiving or sending the signal.
  • the transceiver unit is specifically configured to: receive a signal carrying a data symbol from a network device.
  • the processing unit 2720 is specifically configured to: perform a modulo operation on the data symbol based on the first parameter to obtain a modulo result, wherein the modulo operation is calculated by the following formula:
  • the processing unit is further configured to: perform continuous interference cancellation SIC on the information to be transmitted to obtain a SIC result where the SIC result is expressed by the following formula:
  • a k is the information to be transmitted, and K is the number of antennas or layers; according to the first parameter, the modulo operation is performed on the SIC result to obtain the modulo result, wherein the modulo operation is calculated by the following formula:
  • the transceiver unit is also used for: sending a signal carrying a data symbol to the network device.
  • the transceiver unit is specifically configured to: receive a signal carrying a data symbol x from a network device, where the data symbol is represented by the following formula:
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the inverse of the signal-to-noise ratio
  • N t is the number of antennas or layers
  • ⁇ 1 is the parameter used to maximize the signal-to-interference-plus-noise ratio in the second parameter
  • ⁇ 2 is Determine the parameters of the mean square error weight between the perturbed data, is an identity matrix of dimension Nt .
  • the processing unit is specifically configured to: perform a modulo operation on the data symbol according to the second parameter to obtain a modulo result; perform a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the processing unit is further configured to: determine a disturbance vector according to the second parameter, where the disturbance vector is calculated by the following formula:
  • ⁇ l is the disturbance vector
  • ⁇ 1 is the parameter used to maximize the signal-to-interference plus noise ratio in the second parameter
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the reciprocal of the signal-to-noise ratio
  • N t is the number of antennas or the number of layers, is an identity matrix with dimension N t ;
  • the precoding matrix is ⁇ 2 is a parameter to determine the weight of mean square error between disturbed data
  • the transceiver unit is also used for: sending a signal carrying a data symbol to the network device.
  • the second parameter further includes a parameter for determining the mean square error weight between the disturbance data.
  • the processing unit is specifically configured to: determine the modulo interval according to the third parameter; and determine the data symbol according to the modulo interval.
  • the transceiver unit is specifically used for: sending a signal carrying a data symbol.
  • the first information is carried in downlink control signaling DCI or medium access control MAC layer signaling.
  • the first information includes at least one of the following: the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the first set An index in a third set, where the first set includes candidate values of the first parameter, the second set includes candidate values of the second parameter, and the third set includes candidate values of the third parameter; the transceiver unit is further configured to : Receive second information from the network device, where the second information includes at least one of the first set, the second set or the third set.
  • the second information is carried in semi-static radio resource control RRC signaling.
  • another communication device includes a transceiver unit and a processing unit.
  • the transceiver unit is configured to: send first information to the terminal device, where the first information is used to indicate at least one of the first parameter, the second parameter or the third parameter, wherein the first parameter includes a parameter for increasing or decreasing A parameter of a small modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, and the third parameter includes a modulation and coding strategy MCS, which is used by the terminal device to determine the modulo interval.
  • the processing unit is configured to: determine a signal according to the first information.
  • the transceiver unit is also used for: sending or receiving the signal.
  • the transceiver unit is specifically configured to: receive a signal carrying a data symbol from a terminal device.
  • the processing unit is specifically configured to: perform a modulo operation on the data symbol based on the first parameter to obtain a modulo result, wherein the modulo operation is calculated by the following formula:
  • the processing unit is further configured to: perform continuous interference cancellation SIC on the information to be transmitted to obtain a SIC result, where the SIC result is expressed by the following formula:
  • the modulo operation is performed on the SIC result to obtain the modulo result, wherein the modulo operation is calculated by the following formula:
  • the transceiver unit is also used for: sending a signal carrying a data symbol to the terminal device.
  • the transceiver unit is specifically configured to: receive a signal x carrying a data symbol from a terminal device, where the data symbol is represented by the following formula:
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the inverse of the signal-to-noise ratio
  • N t is the number of antennas or layers
  • ⁇ 1 is the parameter used to maximize the signal-to-interference-plus-noise ratio in the second parameter
  • ⁇ 2 is Determine the parameters of the mean square error weight between the perturbed data, is an identity matrix of dimension Nt .
  • the processing unit is specifically configured to: perform a modulo operation on the data symbol according to the second parameter to obtain a modulo result; perform a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the processing unit is further configured to: determine a disturbance vector according to the second parameter, where the disturbance vector is calculated by the following formula:
  • ⁇ l is the disturbance vector
  • ⁇ 1 is the parameter used to maximize the signal-to-interference plus noise ratio in the second parameter
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the reciprocal of the signal-to-noise ratio
  • N t is the number of antennas or the number of layers, is an identity matrix with dimension N t ;
  • the precoding matrix is ⁇ 2 is a parameter to determine the weight of mean square error between disturbed data
  • the transceiver unit is also used for: sending a signal carrying a data symbol to the terminal device.
  • the second parameter further includes a parameter for determining the mean square error weight between the disturbance data.
  • the processing unit is specifically configured to: determine the modulo interval according to the third parameter; and determine the data symbol according to the modulo interval.
  • the transceiver unit is specifically used for: sending a signal carrying a data symbol.
  • the first information is carried in downlink control signaling DCI or medium access control MAC layer signaling.
  • the first information includes at least one of the following: the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the first set An index in a third set, where the first set includes candidate values of the first parameter, the second set includes candidate values of the second parameter, and the third set includes candidate values of the third parameter; the transceiver unit is further configured to : Send second information to the terminal device, where the second information includes at least one of the first set, the second set or the third set.
  • the second information is carried in semi-static radio resource control RRC signaling.
  • the modulation order and/or code rate corresponding to the MCS is the largest among multiple terminal devices that communicate simultaneously.
  • yet another communication device including a processor and a memory.
  • the memory is used to store a computer program
  • the processor is used to call and run the computer program from the memory, so that the apparatus executes the method in any of the possible implementations of any of the above aspects.
  • processors there are one or more processors and one or more memories.
  • the memory may be integrated with the processor, or the memory may be provided separately from the processor.
  • the communication device further includes a transmitter (transmitter) and a receiver (receiver).
  • the transmitter and receiver can be set separately or integrated together, which is called a transceiver (transceiver).
  • a communication system including a device for implementing the above-mentioned first aspect or any possible implementation method of the first aspect, and a device for implementing any of the above-mentioned second aspect or the second aspect Apparatus for possible implementation of the method.
  • the communication system may further include other devices that interact with the terminal device and/or the network device in the solutions provided in the embodiments of the present application.
  • a communication device comprising a communication interface and a logic circuit, the communication interface is configured to receive first information, and the logic circuit is configured to determine a signal according to the first information, so that the communication device performs the above-mentioned first aspect method in any of the possible implementations.
  • another communication device comprising a communication interface and a logic circuit, the communication interface is used for sending the first information, and the logic circuit is used for determining a signal according to the first information, so that the communication device executes the above-mentioned The method in any possible implementation manner of the second aspect.
  • a computer program product comprising: a computer program (also referred to as code, or instructions), which, when the computer program is executed, causes a computer to execute any one of the above aspects.
  • a computer program also referred to as code, or instructions
  • a computer-readable storage medium having a computer program (which may also be referred to as code, or instructions), when executed on a computer, causes the computer to perform any of the above-mentioned aspects. method in any of the possible implementations.
  • FIG. 1 is a schematic diagram of a communication system to which an embodiment of the present application is applicable;
  • FIG. 2 is a schematic diagram of the distribution of users on corresponding beams in a commercial scenario
  • 3 is a schematic diagram of the relationship between the distribution of terminal equipment and the trend of system performance
  • Fig. 4 is a schematic diagram of the process of encoding and decoding based on the THP algorithm at the transmitting end and the receiving end;
  • 5 is a schematic diagram of an extended constellation diagram of a QPSK modulation scheme
  • Fig. 6 is the process schematic diagram that the transmitting end and the receiving end carry out encoding and decoding based on VP algorithm
  • FIG. 7 is a schematic flowchart of a communication method provided by an embodiment of the present application.
  • FIG. 8 is a schematic diagram of a constellation diagram and a code distance of a QPSK modulation scheme
  • FIG. 9 is a schematic diagram of a quadrature amplitude modulation constellation diagram and a code distance
  • FIG. 10 is a schematic flowchart of a communication method based on the THP-EMod algorithm provided by an embodiment of the present application;
  • FIG. 11 is a schematic flowchart of a communication method based on a VP-EMod algorithm provided by an embodiment of the present application;
  • FIG. 12 is a schematic flowchart of a communication method based on a VP-EDP algorithm provided by an embodiment of the present application
  • FIG. 13 is a schematic flowchart of a communication method based on a VP-EMCS algorithm provided by an embodiment of the present application
  • FIG. 14 is a schematic flowchart of a communication method based on a THP-EMCS algorithm provided by an embodiment of the present application;
  • Figures 15 to 18 are comparison diagrams of the throughput curves of the communication system based on the VP-EMod algorithm for communication with various signal-to-noise ratios;
  • Fig. 19 to Fig. 21 are the comparison graphs of the change curve of the throughput of the communication system based on ZF and VP-EDP algorithm with various signal-to-noise ratios;
  • FIGS. 22 to 24 are comparative graphs of the change curves of throughput versus signal-to-noise ratio of communication systems that communicate based on ZF, THP-EMCS and THP algorithms;
  • FIGS. 25 to 27 are comparative graphs of the change curves of the throughput of the communication system based on ZF, VP-EMCS and VP algorithm with the signal-to-noise ratio;
  • FIG. 29 is a schematic block diagram of another communication apparatus provided by the present application.
  • NB-IoT narrow band-internet of things
  • LTE long term evolution
  • LTE advanced, LTE-A advanced long term evolution
  • FDD frequency division duplex
  • TDD LTE time division duplex
  • 5th generation, 5G new wireless (new radio, NR)
  • 5G systems usually include the following three application scenarios: enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC) and massive machine type of communication communication, mMTC).
  • eMBB enhanced mobile broadband
  • URLLC ultra-reliable and low latency communications
  • mMTC massive machine type of communication communication
  • the terminal equipment in the embodiments of the present application may also be referred to as: user equipment (user equipment, UE), mobile station (mobile station, MS), mobile terminal (mobile terminal, MT), access terminal, subscriber unit, subscriber station, Mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user equipment, etc.
  • user equipment user equipment
  • MS mobile station
  • MT mobile terminal
  • access terminal subscriber unit, subscriber station, Mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user equipment, etc.
  • the terminal device may be a device that provides voice/data connectivity to the user, such as a handheld device with a wireless connection function, a vehicle-mounted device, and the like.
  • some examples of terminal devices are: mobile phone (mobile phone), tablet computer, notebook computer, PDA, mobile internet device (MID), wearable device, virtual reality (VR) device, augmented Augmented reality (AR) equipment, wireless terminals in industrial control, wireless terminals in self-driving, wireless terminals in remote medical surgery, smart grid wireless terminal in transportation safety, wireless terminal in smart city, wireless terminal in smart home, cellular phone, cordless phone, session initiation protocol protocol, SIP) telephones, wireless local loop (WLL) stations, personal digital assistants (PDAs), handheld devices with wireless communication capabilities, computing devices, or other processing devices connected to wireless modems, Vehicle-mounted equipment, wearable equipment, terminal equipment in a 5G network, or terminal equipment in a future evolved public land mobile network (public land mobile network, PLMN), etc., are not limited in this embodiment of the present application.
  • the terminal device may also be a terminal device in an Internet of Things (IoT) system.
  • IoT Internet of Things
  • IoT is an important part of the future development of information technology, and its main technical feature is that items pass through communication technology Connect with the network, so as to realize the intelligent network of human-machine interconnection and interconnection of things.
  • the network device in this embodiment of the present application may be a device that provides a wireless communication function for a terminal device, and the network device may also be called an access network device or a wireless access network device, and may be a transmission reception point (transmission reception point, TRP), it can also be an evolved base station (evolved NodeB, eNB or eNodeB) in the LTE system, it can also be a home base station (for example, home evolved NodeB, or home Node B, HNB), base band unit (base band unit, BBU) ), it can also be a wireless controller in a cloud radio access network (CRAN) scenario, or the network device can be a relay station, an access point, an in-vehicle device, a wearable device, and a network device in a 5G network Or the network equipment in the future evolving PLMN network, which can be an access point (AP) in a WLAN, a gNB in a new wireless (new radio, NR) system, or a satellite in
  • a network device may include a centralized unit (CU) node, or a distributed unit (DU) node, or a radio access network (RAN) including a CU node and a DU node ) devices, or RAN devices of control plane CU nodes (CU-CP nodes) and user plane CU nodes (CU-UP nodes) and DU nodes.
  • CU centralized unit
  • DU distributed unit
  • RAN radio access network
  • the network equipment provides services for the terminal equipment in the cell, and the terminal equipment communicates with the network equipment or other equipment corresponding to the cell through the transmission resources (for example, frequency domain resources, or spectrum resources) allocated by the network equipment.
  • a macro base station for example, a macro eNB or a macro gNB, etc.
  • the embodiments of the present application do not specifically limit the specific structure of the execution body of the methods provided by the embodiments of the present application, as long as the program that records the codes of the methods provided by the embodiments of the present application can be executed to execute the methods provided by the embodiments of the present application. It is sufficient to perform communication.
  • the execution subject of the method provided by the embodiment of the present application may be a terminal device or a network device, or a functional module in the terminal device or network device that can call and execute a program.
  • various aspects or features of the present application may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques.
  • article of manufacture encompasses a computer program accessible from any computer readable device, carrier or medium.
  • computer readable media may include, but are not limited to, magnetic storage devices (eg, hard disks, floppy disks, or magnetic tapes, etc.), optical disks (eg, compact discs (CDs), digital versatile discs (DVDs) etc.), smart cards and flash memory devices (eg, erasable programmable read-only memory (EPROM), card, stick or key drives, etc.).
  • various storage media described herein can represent one or more devices and/or other machine-readable media for storing information.
  • the term "machine-readable medium” may include, but is not limited to, wireless channels and various other media capable of storing, containing, and/or carrying instructions and/or data.
  • FIG. 1 To facilitate understanding of the embodiments of the present application, a communication system applicable to the embodiments of the present application is first described in detail with reference to FIG. 1 .
  • FIG. 1 is a schematic diagram of a communication system 100 according to an embodiment of the present application.
  • the communication system 100 may include a network device 101 and a terminal device 102.
  • the network device 101 and the terminal device 102 may use the MIMO technology for wireless communication, that is, the network device 101 and the terminal device 102 respectively have multiple antennas for receiving and transmitting data.
  • the network device 101 may serve as a sending end device (also referred to as a sending end herein) to send downlink data to the terminal device 102
  • the terminal device 102 may serve as a receiving end device (also referred to as a receiving end herein) to receive data from Downlink data of the network device 101 .
  • the terminal device 102 may serve as a sending end device to send uplink data to the network device 101
  • the network device 101 may serve as a receiving end device to receive downlink data from the terminal device 102 .
  • the embodiments of the present application may be applied to multiple different scenarios, including the scenario shown in FIG. 1 , but are not limited to this scenario.
  • the embodiments of the present application may be applied to a transmission scenario between network devices, where one network device may be used as a sending end device, and the other network device may be used as a receiving end device; for another example, the embodiments of the present application may also be applied In a transmission scenario between a terminal device and a terminal device, one terminal device can be used as a sender device, and the other terminal device can be used as a receiver device.
  • the MIMO technology refers to the use of multiple transmit and receive antennas at the transmitter and the receiver, respectively, so that signals are transmitted and received through the multiple antennas of the transmitter and receiver, thereby improving communication quality. It can make full use of space resources, realize multiple transmission and multiple reception through multiple antennas, and can double the system channel capacity without increasing spectrum resources and antenna transmission power.
  • MIMO can be divided into single-user multiple input multiple output (single-user MIMO, SU-MIMO) and multi-user multiple input multiple output (multi-user MIMO, MU-MIMO).
  • Massive MIMO is based on the principle of multi-user beamforming. Hundreds of antennas are arranged at the transmitting end device, and their respective beams are modulated to dozens of target receivers. Through spatial signal isolation, dozens of signals are simultaneously transmitted on the same frequency resource. Therefore, Massive MIMO technology can make full use of the spatial freedom brought by large-scale antenna configuration to improve spectral efficiency.
  • FIG. 1 only shows one network device and one terminal device, but it should be understood that, in other possible scenarios, the communication system in this embodiment of the present application also includes other numbers of network devices and/or other numbers of terminal devices. This is not limited in the application examples.
  • Precoding includes linear precoding and nonlinear precoding.
  • the linear precoding technique can be implemented based on the zero-forcing criterion ZF or the minimum mean square error criterion MMSE.
  • linear precoding will cause the deterioration of the signal-to-noise ratio of users, especially when the users are not uniformly distributed and the channel matrices of the multi-users are highly correlated, the reduction of the signal-to-noise ratio will be more obvious.
  • FIG. 2 is a schematic diagram showing the distribution of users on corresponding beams in a commercial scenario.
  • the abscissa axis represents the beam index 1 ⁇ 35, which is transformed from the discrete Fourier transform (DFT) matrix corresponding to the 35 antennas, and the ordinate represents the distribution percentage of users on the corresponding beam.
  • the black-filled rectangles represent Hangzhou users, and the unfilled rectangles represent Spanish users. From error! Reference source not found.
  • Table 1 shows the test performance results of the commercial cell throughput rate under different user distribution uniformity in the commercial scenario.
  • the user distribution of a university is relatively scattered, the average number of matching layers is 7.4, and the cell throughput rate is as high as 128M;
  • the user distribution of operator A's site 1 is relatively scattered, and the average number of matching layers is high It is 6.1 layers, and the cell throughput is 77M;
  • the user distribution of operator A's site 2 is denser, the average number of matching layers is 5.3, and the cell throughput is 55M;
  • the user distribution of operator A's site 3 is denser , the average number of paired layers is as low as 4.7 layers, and the cell throughput is as low as 30M.
  • the above-mentioned user may be understood as a terminal device used by the user.
  • Figure 3 shows the relationship between the distribution of terminal devices and the trend of system performance.
  • the network device 301 can communicate with the terminal devices 302 to 305, and the distances between the terminal devices are different, indicating that these terminal devices are not evenly distributed; the distance between the terminal device 302 and the terminal device 303 is short, It indicates that the distribution of terminal devices is concentrated, and the distance between the terminal device 304 and the terminal device 305 is long, indicating that the distribution of the terminal devices is scattered.
  • the terminal equipment is not evenly distributed and the more dispersed the terminal equipment is, the higher the downlink channel quality CQI of the terminal equipment is.
  • non-linear precoding technology is introduced in MIMO technology in order to improve the phenomenon of signal-to-noise ratio deterioration at the receiving end.
  • the nonlinear precoding can be implemented based on the THP precoding algorithm and the VP precoding algorithm.
  • the THP algorithm can pre-eliminate interference through interference cancellation at the transmitting end, thereby reducing the zero-forcing space constraint and improving the signal-to-noise ratio at the receiving end.
  • the VP algorithm can orthogonalize the channel and signal through the transmitting end, reduce the equivalent channel condition number, and improve the signal-to-noise ratio of the receiving end.
  • FIG. 4 shows a schematic diagram of the process of encoding and decoding based on the THP algorithm at the transmitting end and the receiving end.
  • the encoding process by the sender through the THP algorithm is as follows:
  • L is a lower triangular matrix
  • Q is a unitary matrix.
  • the purpose of obtaining the lower triangular matrix is that if L is the precoding matrix, the interference between users will have causality, that is, the interference of each user can be regarded as only related to the interference of the previously processed users, and is not interfered by the users that have not yet been processed. influences.
  • G is a diagonal matrix formed by the reciprocal values of the values of the diagonal elements in the L matrix
  • the matrix B is a lower triangular matrix and all the diagonal elements are 1.
  • ⁇ which is usually specified as:
  • SIC can successively eliminate the interference of the previously processed data stream from the data stream of each user, and obtain:
  • I is the unit matrix.
  • a k is the information to be encoded before the interference cancellation of user k, only with Correlation, satisfying causality.
  • quadrature phase shift keying (QPSK) modulation As an example, the influence of SIC and modulo operation on constellation points is described.
  • FIG. 5 shows an extended constellation diagram of the QPSK modulation scheme.
  • the initial set of constellation points for QPSK modulation is That is, the constellation points in the box in the figure are the constellation points of standard QPSK.
  • the symbol may be any point in the plane, that is, spread to the entire plane, and the transmit power may be significantly increased.
  • the modulo operation is performed on the modulation constellation point, it will be pulled into the frame to realize power control.
  • the sender performs encoding through the THP algorithm to obtain the encoded information and sends it to the receiver through the channel.
  • the information received by the receiver is Hx+n.
  • n is noise, for example, white gaussian noise.
  • the receiving end receives the encoded information through the channel and decodes it, as shown in Figure 4, and specifically performs multiplication by the reciprocal of the power gain factor, the modulo operation, and the decision feedback equalization (DFE) operation.
  • DFE decision feedback equalization
  • the demodulation reference signal (DMRS) received by the receiver can be as follows:
  • s is the modulation symbol of the pilot frequency
  • n is the noise
  • k is the number of terminal devices.
  • the above THP algorithm can eliminate the interference caused by multi-antenna channels and limit the power of the transmitted signal through the modulo operation.
  • the THP algorithm has an unavoidable performance loss, which leads to the THP algorithm precoding.
  • the ability to improve performance is limited.
  • the performance loss of THP algorithm mainly comes from two reasons: power loss and modulo loss.
  • the transmit end is Evenly distributed transmission information within the average power is still higher than the initial information.
  • M-PAM multi pulse amplitude modulation
  • M-PAM multiple pulse amplitude modulation
  • M-PAM its power loss is M 2 /(M 2 -1), where M is the modulation order. Therefore, the power loss has a significant impact only in a channel with a low signal-to-noise ratio (SNR) and when a low-order modulation is used.
  • SNR signal-to-noise ratio
  • the reason why the THP algorithm produces power loss is that at low SNR and under the influence of interference, the transmitted signal obeys a uniform distribution within the modulo limit, resulting in the average power of the transmitted signal being greater than the power of the modulation symbol, resulting in power loss.
  • the coding and decoding complexity of the extended THP algorithm will increase with the length of the vector.
  • the modulo loss that is, the loss caused by the THP algorithm performing modulo operation at the receiving end.
  • the receiver will limit it to the , and determine it as the closest constellation point to recover the original symbol.
  • the modulo operation is performed at the receiving end after being affected by noise, and it may fall into the judgment area of another constellation point, resulting in a judgment error.
  • the modulo loss can be significant when using low-order modulation.
  • FIG. 6 shows a schematic diagram of the process of encoding and decoding performed by the transmitting end and the receiving end through the VP algorithm. As shown in Figure 6, after the transmitting end encodes the information a to be encoded through the VP algorithm, the encoded information x is obtained:
  • p is the disturbance vector
  • ⁇
  • 2 is the power gain factor of VP
  • H is the channel matrix
  • p is the power constraint factor
  • the sender performs encoding through the VP algorithm to obtain the encoded information and send it to the receiver through the channel.
  • the receiving end receives the encoded information through the channel and decodes it, as shown in Figure 6, and specifically performs multiplication by the reciprocal of the power gain factor, the modulo operation, and the decision feedback equalization (DFE) operation.
  • DFE decision feedback equalization
  • the addition of the perturbation vector p in the VP algorithm changes the initial information to be encoded, so the receiving end can perform the modulo operation mod ⁇ (x) on the received information to eliminate the perturbation vector p.
  • the performance of the VP algorithm can be further optimized in combination with the MMSE criterion, and the encoded information of the MMSE-VP is expressed as:
  • ⁇
  • a is the information to be encoded
  • ⁇ is the inverse of the power of the signal-to-noise ratio
  • ⁇ n is the power of the noise
  • ⁇ a is the power of the signal.
  • Both the VP algorithm and the MMSE-VP algorithm will perform a modulo operation at the receiving end, which will cause the same modulo loss as the THP algorithm. For example, in the mid-low SNR region, the loss caused by the modulo error to the system can reach 3 to 4 dB.
  • THP algorithm and VP algorithm are used, most of them are statistics of bit error probability (BER) performance under ideal channel estimation and without coding. If the actual channel estimation and adaptive modulation and coding are considered, The influence of (adaptive modulation and coding, AMC), the throughput of the statistical communication system, the performance of the THP algorithm and the VP algorithm compared with the linear precoding method, there will be a negative gain.
  • AMC adaptive modulation and coding
  • the present application provides a communication method and communication device.
  • improving the THP algorithm and the VP algorithm it is beneficial to reduce the modulo loss of the THP algorithm and the VP algorithm, and while stably improving the signal-to-noise ratio of the receiving end, Increase the performance gain of the system.
  • "used for indication” may include direct indication and indirect indication, and may also include explicit indication and implicit indication.
  • the information indicated by a certain piece of information is called the information to be indicated.
  • the information to be indicated can be directly indicated, such as the information to be indicated itself or the information to be indicated.
  • the information to be indicated may also be indirectly indicated by indicating other information, where there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while other parts of the information to be indicated are known or agreed in advance.
  • the indication of the information to be indicated can also be implemented by means of a pre-agreed agreement (eg, the agreement stipulates) whether there is a certain information element, thereby reducing the indication overhead to a certain extent.
  • predefined may be a protocol definition.
  • pre-definition can be realized by pre-saving corresponding codes, forms or other methods that can be used to indicate relevant information in the equipment (for example, including terminal equipment and network equipment). limited.
  • the embodiments of this application are described by taking a terminal device and a network device as examples. It should be understood that the terminal device can be replaced by a device or chip that can implement functions similar to the terminal device, and the network device can also be replaced by a device that can implement functions similar to the network device. device or chip, the name of which is not limited in this embodiment of the present application.
  • FIG. 7 is a schematic flowchart of a communication method 700 provided by an embodiment of the present application.
  • the method 700 may be applied to the communication system 100 shown in FIG. 1 , but the embodiment of the present application is not limited thereto.
  • the network device in the method 700 may be the network device 101 in the foregoing FIG. 1
  • the terminal device may be the foregoing terminal device 102 in FIG. 1 .
  • the method 700 may include the following steps:
  • the network device sends first information to the terminal device, where the first information is used to indicate at least one of a first parameter, a second parameter or a third parameter, where the first parameter includes a parameter used to increase or decrease a parameter of the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, the third parameter includes a modulation and coding strategy (modulation and coding scheme, MCS), the MCS is used to determine the modulo interval, Correspondingly, the terminal device receives the first information.
  • MCS modulation and coding scheme
  • the terminal device receives or sends a signal according to the first information.
  • the first information may include the value of at least one of the first parameter, the second parameter or the third parameter, and may also include indication information of at least one of the first parameter, the second parameter or the third parameter.
  • the indication information is used to indicate the value of at least one of the first parameter, the second parameter or the third parameter.
  • the terminal device may increase or decrease the modulo interval according to the first parameter indicated by the first information.
  • the terminal device may determine the disturbance vector according to the parameter that maximizes the signal-to-interference-plus-noise ratio according to the second parameter indicated by the first information.
  • the terminal device may determine the modulo interval according to the third parameter indicated by the first information.
  • the modulo interval by adjusting the modulo interval, determining the disturbance vector, and unifying the modulo interval of the terminal equipment, it is beneficial to reduce the modulo loss of the precoding algorithm (such as the THP algorithm or the VP algorithm), and stably improve the reception. While improving the signal-to-noise ratio of the terminal, the performance gain of the system is increased.
  • the precoding algorithm such as the THP algorithm or the VP algorithm
  • the first parameter, the second parameter, and the third parameter in the embodiments of the present application are respectively described in detail below.
  • the first parameter includes a parameter used to increase or decrease the modulo interval.
  • the parameter can be a direct parameter or an indirect parameter, that is, the parameter can be a specific value for increasing or decreasing the modulo interval, or it can be a
  • the terminal device increases or decreases the specific value of the modulo interval according to it.
  • the network device performs a modulo operation on the information to be transmitted according to the modulo interval determined by the first parameter, and sends the first parameter and a signal bearing the information to the terminal device.
  • the terminal device receives the first parameter, and can perform a modulo operation on the received information according to the first parameter to obtain corresponding original information.
  • the first parameter can be used in both the THP algorithm and the VP algorithm.
  • the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio.
  • the parameter can be a direct parameter or an indirect parameter, that is, the parameter can be a specific value that maximizes the signal-to-interference-plus-noise ratio, or it can be
  • the terminal device derives a specific value based on which to maximize the signal-to-interference-plus-noise ratio.
  • the network device determines a perturbation vector according to the second parameter, determines a precoding matrix according to the parameter of the mean square error weight between perturbed data, and processes the information to be transmitted according to the perturbation vector and the precoding matrix to obtain a data symbol, which is sent to the terminal.
  • the device sends a signal carrying the data symbol and the second parameter.
  • the terminal device can perform a modulo operation on the received data symbol according to the second parameter to obtain corresponding original information.
  • the second parameter can be used in the VP algorithm.
  • the third parameter includes a modulation and coding strategy MCS, and the modulation order and/or code rate corresponding to the MCS is the largest among multiple terminal devices that communicate at the same time.
  • the parameter may be a direct parameter or an indirect parameter, that is, the parameter may be the modulation order and/or the target code rate, or may be obtained by the terminal device according to the modulation order and/or the target code rate.
  • the modulo intervals of different terminal devices are different, which will affect the performance of the system. Therefore, in this embodiment of the present application, by configuring the third parameter, different terminal devices use the same modulo interval.
  • the modulo value of terminal equipment with small parameters corresponding to MCS is large.
  • the modulo value of terminal equipment with large parameters corresponding to MCS will be small, and the interference will increase, which may increase. There is a probability that the range of the modulo is exceeded, resulting in a decoding error.
  • Fig. 8 shows the constellation diagram and the code distance of QPSK
  • Fig. 9 shows the constellation diagram and the code distance of 64 quadrature amplitude modulation (quadrature amplitude modulation, QAM), after calculating, the code distance of QPSK is
  • the code distance of 64QAM is If the terminal device uses its own modulo interval to perform the modulo operation, the interference leakage of the terminal device will be different from the actual interference, which will lead to performance loss.
  • the embodiment of the present application proposes that different terminal devices uniformly use the modulo interval of the terminal device with the large parameter corresponding to the MCS, which can ensure that the terminal device with a smaller offset range will not be affected by the large value.
  • the impact of bias range performance can be minimized to minimize performance loss. Therefore, the third parameter includes the MCS, and the modulation order and/or target code rate corresponding to the MCS is the largest among the multiple terminal devices communicating simultaneously, that is, the multiple terminal devices all receive the MCS, and according to the MCS, Determine the modulo interval.
  • the network device may select the largest MCS among the multiple terminal devices in the communication as the third parameter, and determine the modulo interval according to the third parameter, and determine the modulo interval according to the third parameter.
  • a modulo operation is performed on the information to be transmitted at the modulo interval, and the third parameter and the information-bearing signal are sent to the terminal device.
  • the terminal device After receiving the third parameter, the terminal device can perform a modulo operation on the received information according to the third parameter to obtain corresponding original information.
  • the above-mentioned MCS may correspond to a modulation order, a code rate or other related parameters.
  • the third parameter can be used in both the THP algorithm and the VP algorithm.
  • the first information may be carried in downlink control signaling (downlink control information, DCI) or media access control (media access control, MAC) layer signaling.
  • DCI downlink control information
  • MAC media access control
  • the network device may send the first information to the terminal device in two achievable manners.
  • the network device may send the first information to the terminal device through DCI, and correspondingly, the terminal device obtains the first information by receiving the DCI.
  • the network device may send the first information to the terminal device through MAC layer signaling, and correspondingly, the terminal device obtains the first information by receiving the MAC layer signaling.
  • the first information may include at least one of the following: the first information may include the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the third set An index in the set, wherein the first set includes candidate values for the first parameter, the second set includes candidate values for the second parameter, and the third set includes candidate values for the third parameter; the network device sends the terminal device to the Before the first information, the method further includes: the network device sends second information to the terminal device, where the second information includes at least one of the first set, the second set or the third set.
  • the network device may send second information to the terminal device, where the second information includes the first set (possible candidate values of the first parameter), the second set (possible candidate values of the second parameter), or the third set ( at least one of the possible candidate values of the third parameter), and then send the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the third set to the terminal device at least one of the indices.
  • the terminal device receives at least one of the index of the first parameter, the index of the second parameter or the index of the third parameter, and determines the value of the first parameter, the value of the second parameter or the third parameter according to these indices at least one of the values.
  • the network device by pre-configuring a set of candidate values including parameters, the network device can configure the corresponding parameter by means of an index, which is beneficial to saving the signaling overhead of the network device.
  • the foregoing second information may be carried in radio resource control (radio resource control, RRC) signaling.
  • RRC radio resource control
  • the network device may send the second information to the terminal device through RRC signaling in a semi-static manner, and then send the first information to the terminal device through DCI or MAC layer signaling.
  • the terminal device may obtain the second information by receiving the RRC signaling, and then obtain the first information by receiving the DCI or MAC layer signaling.
  • the embodiments of the present application will be described by taking the network device as the sending end device and the terminal device as the receiving end device as an example.
  • THP THP-enhanced modulo, THP-EMod
  • THP-EMod algorithm a new algorithm obtained by using the first parameter to improve the THP algorithm. It should be understood that the new algorithm may also have other names, which are not limited in this embodiment of the present application.
  • FIG. 10 is a schematic flowchart of a communication method 1000 based on a THP-EMod algorithm provided by an embodiment of the present application. As shown in Figure 10, the communication method 1000 may include the following steps:
  • the network device sends first information to the terminal device, where the first information is used to indicate a first parameter, where the first parameter includes a parameter used to increase or decrease the modulo interval, correspondingly, the terminal device receives the first information information.
  • the network device performs continuous interference cancellation SIC on the information to be transmitted, and obtains the SIC result Among them, the SIC result can be expressed by the following formula:
  • a k is the information to be transmitted, and K is the number of antennas or layers.
  • the network device performs a modulo operation on the SIC result according to the first parameter to obtain a modulo result, wherein the modulo operation can be calculated by the following formula:
  • ⁇ is the first parameter
  • M is the number of constellation points
  • the network device uses the first parameter ⁇ to increase or decrease the modulo interval, so that the modulo interval is determined by become
  • the network device multiplies the modulo result by Q H G to obtain a data symbol, where Q is the Q matrix for QR decomposition of the channel matrix, and G is the diagonal formed by the reciprocal values of the values of the diagonal elements in the R matrix matrix.
  • the network device sends a signal bearing the data symbol to the terminal device, and correspondingly, the terminal device receives the signal bearing the data symbol.
  • the terminal device performs a modulo operation on the data symbol based on the first parameter to obtain a modulo result, wherein the modulo operation can be calculated by the following formula:
  • x is the data symbol
  • ⁇ is the first parameter
  • M is the number of constellation points
  • the terminal device performs a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the first parameter can be positive or negative. If the first parameter is a positive value, the modulo interval will become larger. Under the same SNR, the possibility of the signal carrying the digital symbol drifting out of the modulo interval will be reduced, which can reduce the bearing of the digital symbol after the modulo operation.
  • the signal is in the range of the constellation diagram, so the modulo loss is reduced.
  • the first parameter is positive but the value cannot be infinite. Because in this case the power loss can be Wherein, K is the number of antennas or layers of the terminal device. If the first parameter is infinite, the power loss will increase. Therefore, the value of the first parameter needs to compromise the loss of the expansion gain and the algorithm gain.
  • VP VP-enhanced modulo, VP-EMod
  • a new algorithm obtained by using the first parameter to improve the VP algorithm is referred to as the VP-EMod algorithm. It should be understood that the new algorithm may also have other names, which are not limited in this embodiment of the present application.
  • FIG. 11 is a schematic flowchart of a communication method 1100 based on a VP-EMod algorithm provided by an embodiment of the present application. As shown in FIG. 11 , the communication method 1100 may include the following steps:
  • the network device sends first information to the terminal device, where the first information is used to indicate a first parameter, where the first parameter includes a parameter used to increase or decrease the modulo interval, and correspondingly, the terminal device receives the first information.
  • the network device obtains a data symbol based on the first parameter, and the data symbol may be
  • 2 is the disturbance vector
  • ⁇
  • 2 is the VP power gain factor
  • H is the channel matrix
  • p is the power constraint factor
  • the network device sends a signal bearing the data symbol to the terminal device, and correspondingly, the terminal device receives the signal bearing the data symbol.
  • the terminal device performs a modulo operation on the data symbol based on the first parameter to obtain a modulo result.
  • the terminal device performs a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the communication method only changes the value of ⁇ based on the first parameter, which does not bring additional computational complexity to the system, and after the modulo operation, the terminal device can remove the disturbance signal part and obtain a high-reliability bit log-likelihood ratio (log likelihood ratio, LLR) information.
  • LLR log likelihood ratio
  • the first parameter can be positive or negative. If the first parameter is a positive value, the modulo interval is increased, which can reduce erroneous modulo operations, and the soft demodulator can generate reliable LLR information, thereby improving decoding performance. Also, the first parameter is positive but the value cannot be infinite. Because the algorithm obtains the gain by minimizing the transmit power, when the first parameter is infinite, the accuracy of the optimal disturbance vector searched in the expanded shaping grid will be reduced, thus making the transmit power larger and reducing the VP algorithm loss of gain.
  • VP-EDP VP-enhanced double parameters
  • a new algorithm obtained by using the second parameter to improve the VP algorithm is called a VP-EDP algorithm. It should be understood that the new algorithm may also have other names, which are not limited in this embodiment of the present application.
  • FIG. 12 is a schematic flowchart of a communication method 1200 based on a VP-EDP algorithm provided by an embodiment of the present application. As shown in Figure 12, the communication method 1200 may include the following steps:
  • the network device sends first information to the terminal device, where the first information is used to indicate a second parameter, and the second parameter is used to include a parameter for maximizing the signal-to-interference-plus-noise ratio.
  • the terminal device receives the first information.
  • the second parameter may balance the interference and noise of each data to maximize the signal-to-interference-plus-noise ratio of the terminal device.
  • the second parameter can be determined by means of simulation.
  • the parameter may be a parameter obtained through simulation that can obtain better BER performance under each modulation mode.
  • the network device determines a disturbance vector according to the second parameter, wherein the disturbance vector can be calculated by the following formula:
  • ⁇ l is the disturbance vector
  • ⁇ 1 is the parameter used to maximize the signal-to-interference plus noise ratio in the second parameter
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the reciprocal of the signal-to-noise ratio
  • N t is the number of antennas or the number of layers, is an identity matrix of dimension Nt .
  • the network device obtains the data symbol x according to the disturbance vector and the precoding matrix, wherein the data symbol can be calculated by the following formula:
  • the precoding matrix is ⁇ 2 is a parameter to determine the weight of mean square error between disturbed data
  • the above-mentioned precoding matrix can determine the weighted value of the mean square error between the disturbed data through ⁇ 2 to minimize the total mean square error.
  • the precoding matrix can eliminate interference between individual data.
  • the network device sends a signal bearing the data symbol to the terminal device, and correspondingly, the terminal device receives the signal bearing the data symbol.
  • the terminal device performs a modulo operation on the data symbol according to the second parameter to obtain a modulo result.
  • the terminal device may determine a channel estimation parameter, a modulo parameter or a constellation decision parameter according to the second parameter, and then perform a modulo operation on the data symbol according to the channel estimation parameter, modulo parameter or constellation decision parameter to obtain a modulo result.
  • the terminal device performs a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the communication method provided by the embodiment of the present application increases the performance gain of the system by maximizing the signal-to-interference-plus-noise ratio to determine the disturbance vector.
  • the second parameter in the above S1201 may further include a parameter for determining the mean square error weight between disturbed data, and the network device in the above S1202 may further determine the precoding matrix according to the second parameter.
  • the disturbance vector is determined by maximizing the signal-to-interference-plus-noise ratio, and the interference between each data is eliminated by determining the mean square error weight between the disturbance data, thereby increasing the performance gain of the system.
  • VP-EMCS VP-enhanced MCS parameter selection
  • a new algorithm obtained by using the third parameter to improve the VP algorithm is called a VP-EMCS algorithm. It should be understood that the new algorithm may also have other names, which are not limited in this embodiment of the present application.
  • FIG. 13 is a schematic flowchart of a communication method 1300 based on a VP-EMCS algorithm provided by an embodiment of the present application. As shown in Figure 13, the communication method 1300 may include the following steps:
  • the network device sends first information to the terminal device, where the first information is used to indicate a third parameter, the third parameter includes a modulation and coding strategy MCS, the MCS is used by the terminal device to determine the modulo interval, and correspondingly, the terminal device receives the first information.
  • the third parameter includes a modulation and coding strategy MCS
  • the modulation order and/or code rate corresponding to the MCS may be the largest among multiple terminal devices that communicate simultaneously.
  • the network device determines the modulo interval according to the third parameter.
  • the modulo interval can be can also be Among them, M is the modulation order, code rate or other related parameters.
  • first information may also be used to indicate the first parameter.
  • the network device determines the data symbol according to the modulo interval.
  • the network device sends a signal bearing the data symbol to the terminal device, and correspondingly, the terminal device receives the signal bearing the data symbol.
  • the terminal device determines the modulo interval according to the third parameter.
  • the modulo interval is the same as the modulo interval in S1302 above.
  • the terminal device performs a modulo operation on the data symbol according to the modulo interval to obtain a modulo result.
  • the terminal device performs a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • THP algorithm for enhanced MCS parameter selection (VP-enhanced MCS parameter selection, THP-EMCS) algorithm
  • THP-EMCS a new algorithm obtained by using the third parameter to improve the THP algorithm. It should be understood that the new algorithm may also have other names, which are not limited in this embodiment of the present application.
  • FIG. 14 is a schematic flowchart of a communication method 1400 based on a THP-EMCS algorithm provided by an embodiment of the present application. As shown in Figure 14, the communication method 1400 may include the following steps:
  • the network device sends first information to the terminal device, where the first information is used to indicate a third parameter, the third parameter includes a modulation and coding strategy MCS, the MCS is used by the terminal device to determine the modulo interval, and correspondingly, the terminal device receives the first information.
  • the third parameter includes a modulation and coding strategy MCS
  • the modulation order and/or code rate corresponding to the MCS may be the largest among multiple terminal devices that communicate simultaneously.
  • the network device performs continuous interference cancellation SIC on the information to be transmitted to obtain a SIC result.
  • the network device determines the modulo interval according to the third parameter.
  • the modulo interval can be can also be Among them, M is the modulation order, code rate or other related parameters.
  • the network device performs a modulo operation on the SIC result according to the modulo interval to obtain a modulo result.
  • the network device multiplies the modulo result by QH G to obtain a data symbol, where Q is the Q matrix for QR decomposition of the channel matrix, and G is the diagonal formed by the reciprocal values of the diagonal elements in the R matrix matrix.
  • the network device sends the signal bearing the data symbol to the terminal device, and correspondingly, the terminal device receives the signal bearing the data symbol.
  • the terminal device performs a modulo operation on the data symbol based on the third parameter to obtain a modulo result.
  • the terminal device performs a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the terminal device can perform the operations performed by the network device in the above communication methods 1000 to 1400, and the network device can perform the operations performed by the terminal device in the above communication methods 1000 to 1400 operation, which will not be repeated here.
  • the present application simulates the improved algorithm.
  • the sender is a network device and the receiver is a terminal device.
  • the network device takes the base station as an example.
  • the simulation configuration is shown in Table 2.
  • Figures 15-18 show the change curves of the communication system throughput of the communication method based on the VP-EMod algorithm with the downlink signal-to-noise ratio, wherein the uplink signal-to-noise ratio of Figures 15-18 is different.
  • the signal-to-noise ratio of the uplink signal is 100dB
  • the signal-to-noise ratio of the uplink signal in FIG. 16 is 10dB
  • the signal-to-noise ratio of the uplink signal in FIG. 17 is 5dB
  • the signal-to-noise ratio of the uplink signal in FIG. 18 is 0dB.
  • x is the value of the first parameter.
  • the first parameter value of curve 1 is 0, the first parameter value of curve 2 is 0.1, the first parameter value of curve 3 is 0.2, the first parameter value of curve 4 is 0.3, and the first parameter value of curve 5 is 0.3.
  • the VP-EMod algorithm reduces the modulo loss and improves the robustness to noise and errors.
  • FIGs 14 to 17 it can be seen that different uplink signal SNRs and different values of the first parameter affect the system performance. It can be seen from the figures that when the uplink signal SNR is greater than 10dB, the The throughput is basically stable with the change of the signal-to-noise ratio of the downlink signal.
  • the optimal value of the first parameter is located at the convex point, where the first parameter takes When 0.3, better performance robustness can be obtained.
  • Figures 19-21 show the change curves of the communication system throughput with the SNR of the communication methods based on the ZF and VP-EDP algorithms, wherein the SNR of the uplink signal in Figures 19-21 is different,
  • the signal-to-noise ratio of the uplink signal is 100dB
  • the signal-to-noise ratio of the uplink signal in FIG. 20 is 10dB
  • the signal-to-noise ratio of the uplink signal in FIG. 21 is 0dB.
  • y is the value of the second parameter.
  • curve 1 is the zero-forcing algorithm ZF
  • the second parameter value of curve 2 is 0, the second parameter value of curve 3 is 0.8
  • the second parameter value of curve 4 is 1
  • the second parameter value of curve 5 is 2
  • the second parameter value of curve 6 is 3
  • the second parameter value of curve 7 is 16.
  • Figures 22-24 show the variation curves of the communication system throughput with the signal-to-noise ratio of the communication methods based on the ZF, THP-EMCS and THP algorithms.
  • the SNR of the uplink signal in Fig. 22-Fig. 24 is different.
  • the SNR of the uplink signal in Fig. 22 is 100dB
  • the SNR of the uplink signal in Fig. 23 is 10dB
  • the SNR of the uplink signal in Fig. 24 is 10dB.
  • ratio is 0dB.
  • curve 1 is the ZF algorithm
  • curve 2 is the THP-EMCS algorithm
  • curve 3 is the THP algorithm.
  • the THP-EMCS algorithm can significantly improve the performance of THP, with a high SNR gain of 25% in the sounding reference signal (SRS), and a low SNR gain of up to 25% in the SRS. 10%, as the SRS signal-to-noise ratio decreases, the THP becomes smaller relative to the ZF. During high-order modulation, since ZF loses more signal power and channel estimation error introduces inter-user interference, the high-order performance is seriously lost. THP has better performance than ZF due to the small loss of signal power and the elimination of some inter-user interference.
  • SRS sounding reference signal
  • Fig. 25-Fig. 27 show the variation curves of the system throughput of ZF, VP-EMCS and VP algorithms with signal-to-noise ratio.
  • the SNR of the uplink signal in Fig. 25-Fig. 27 is different.
  • the SNR of the uplink signal in Fig. 25 is 100dB
  • the SNR of the uplink signal in Fig. 26 is 10dB
  • the SNR of the uplink signal in Fig. 27 is 10dB.
  • ratio is 0dB.
  • curve 1 is the ZF algorithm
  • curve 2 is the VP-EMCS algorithm
  • curve 3 is the VP algorithm.
  • the VP-EMCS algorithm can significantly improve the performance of VP, and solve the problem of negative gain of the VP algorithm relative to MCS in the middle and low order.
  • Low signal-to-noise ratio has negative gain.
  • the main reason for the negative gain is that the channel estimation error is large, resulting in limited improvement of the actual receiving end of the signal-to-noise ratio, and the loss of modulo calculation, so the performance is worse than ZF.
  • FIG. 28 shows a communication apparatus 2800 provided by an embodiment of the present application.
  • the apparatus 2800 may be a terminal device or a chip in the terminal device.
  • the apparatus 2800 may be a network device or a chip in the network device.
  • the apparatus 2800 includes: a transceiver unit 2810 and a processing unit 2820 .
  • the apparatus 2800 is configured to execute each process and step corresponding to the terminal device in the foregoing method embodiments.
  • the transceiver unit 82810 is configured to: receive first information from a network device, where the first information is used to indicate at least one of a first parameter, a second parameter or a third parameter, wherein the first parameter includes a parameter for increasing Or a parameter to reduce the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, the third parameter includes a modulation and coding strategy MCS, and the MCS is used to determine the modulo interval.
  • the processing unit 2820 is configured to: determine a signal according to the first information.
  • the transceiver unit 2810 is also used for: receiving or transmitting the signal.
  • the above-mentioned transceiver unit 2810 is specifically configured to: receive a signal carrying a data symbol from a network device.
  • the above processing unit 2820 is specifically configured to: perform a modulo operation on the data symbol based on the first parameter to obtain a modulo result, wherein the modulo operation is calculated by the following formula:
  • the above processing unit 2820 is further configured to: perform continuous interference cancellation SIC on the information to be transmitted to obtain the SIC result where the SIC result is expressed by the following formula:
  • a k is the information to be transmitted, and K is the number of antennas or layers; according to the first parameter, the modulo operation is performed on the SIC result to obtain the modulo result, wherein the modulo operation is calculated by the following formula:
  • ⁇ is the first parameter
  • M is the number of constellation points
  • Q is the Q matrix for QR decomposition of the channel matrix
  • G is the diagonal matrix formed by the reciprocal values of the values of the diagonal elements in the R matrix.
  • the above-mentioned transceiver unit 2810 is further configured to: send a signal carrying a data symbol to the network device.
  • the above-mentioned transceiver unit 2810 is specifically configured to: receive a signal carrying a data symbol x from a network device, where the data symbol is represented by the following formula:
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the inverse of the signal-to-noise ratio
  • N t is the number of antennas or layers
  • ⁇ 1 is the parameter used to maximize the signal-to-interference-plus-noise ratio in the second parameter
  • ⁇ 2 is Determine the parameters of the mean square error weight between the perturbed data, is an identity matrix of dimension Nt .
  • the above processing unit 2820 is specifically configured to: perform a modulo operation on the data symbol according to the second parameter to obtain a modulo result; perform a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the processing unit 2820 is further configured to: determine a disturbance vector according to the second parameter, wherein the disturbance vector is calculated by the following formula:
  • ⁇ l is the disturbance vector
  • ⁇ 1 is the parameter used to maximize the signal-to-interference plus noise ratio in the second parameter
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the reciprocal of the signal-to-noise ratio
  • N t is the number of antennas or the number of layers, is an identity matrix with dimension N t ;
  • the precoding matrix is ⁇ 2 is a parameter to determine the weight of mean square error between disturbed data
  • the above-mentioned transceiver unit 2810 is further configured to: send a signal carrying a data symbol to the network device.
  • the second parameter further includes a parameter for determining the weight of the mean square error between the disturbance data.
  • the above processing unit 2820 is specifically configured to: determine the modulo interval according to the third parameter; and determine the data symbol according to the modulo interval.
  • the above-mentioned transceiver unit 2810 is specifically configured to: send a signal carrying a data symbol.
  • the first information is carried in downlink control signaling DCI or medium access control MAC layer signaling.
  • the first information includes at least one of the following: the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the third set, wherein the first set including candidate values for the first parameter, the second set including candidate values for the second parameter, and the third set including candidate values for the third parameter;
  • the above-mentioned transceiver unit 2810 is further configured to: receive second information from the network device, where the second information includes at least one of the first set, the second set or the third set.
  • the second information is carried in semi-static radio resource control RRC signaling.
  • the apparatus 2800 is configured to execute each process and step corresponding to the network device in the foregoing method embodiments.
  • the transceiver unit 2810 is configured to: send first information to the terminal device, where the first information is used to indicate at least one of a first parameter, a second parameter or a third parameter, wherein the first parameter includes a parameter for increasing or A parameter for reducing the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, and the third parameter includes a modulation and coding strategy MCS, which is used by the terminal device to determine the modulo interval.
  • the processing unit 2820 is configured to: determine a signal according to the first information.
  • the transceiver unit 2810 is also used for: sending or receiving the signal.
  • the above-mentioned transceiver unit 2810 is specifically configured to: receive a signal carrying a data symbol from a terminal device.
  • the above processing unit 2820 is specifically configured to: perform a modulo operation on the data symbol based on the first parameter to obtain a modulo result, wherein the modulo operation is calculated by the following formula:
  • the above-mentioned processing unit 2820 is further configured to: perform continuous interference cancellation SIC on the information to be transmitted to obtain a SIC result, wherein the SIC result is expressed by the following formula:
  • the modulo operation is performed on the SIC result to obtain the modulo result, wherein the modulo operation is calculated by the following formula:
  • ⁇ is the first parameter
  • M is the number of constellation points
  • Q is the Q matrix for QR decomposition of the channel matrix
  • G is the diagonal matrix formed by the reciprocal values of the values of the diagonal elements in the R matrix.
  • the above-mentioned transceiver unit 2810 is further configured to: send a signal carrying a data symbol to the terminal device.
  • the above-mentioned transceiver unit 2810 is specifically configured to: receive a signal x carrying a data symbol from a terminal device, wherein the data symbol is represented by the following formula:
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the inverse of the signal-to-noise ratio
  • N t is the number of antennas or layers
  • ⁇ 1 is the parameter used to maximize the signal-to-interference-plus-noise ratio in the second parameter
  • ⁇ 2 is Determine the parameters of the mean square error weight between the perturbed data, is an identity matrix of dimension Nt .
  • the above processing unit 2820 is specifically configured to: perform a modulo operation on the data symbol according to the second parameter to obtain a modulo result; perform a decision feedback equalization DFE operation on the modulo result to obtain a DFE result.
  • the above processing unit 2820 is further configured to: determine a disturbance vector according to the second parameter, wherein the disturbance vector is calculated by the following formula:
  • ⁇ l is the disturbance vector
  • ⁇ 1 is the parameter used to maximize the signal-to-interference plus noise ratio in the second parameter
  • a is the vector matrix
  • H is the channel matrix
  • ⁇ is the reciprocal of the signal-to-noise ratio
  • N t is the number of antennas or the number of layers, is an identity matrix with dimension N t ;
  • the precoding matrix is ⁇ 2 is a parameter to determine the weight of mean square error between disturbed data
  • the above-mentioned transceiver unit 2810 is further configured to: send a signal carrying a data symbol to the terminal device.
  • the second parameter further includes a parameter for determining the weight of the mean square error between the disturbance data.
  • the above processing unit 2820 is specifically configured to: determine the modulo interval according to the third parameter; and determine the data symbol according to the modulo interval.
  • the above-mentioned transceiver unit 2810 is specifically configured to: send a signal carrying a data symbol.
  • the first information is carried in downlink control signaling DCI or medium access control MAC layer signaling.
  • the first information includes at least one of the following: the index of the first parameter in the first set, the index of the second parameter in the second set, or the index of the third parameter in the third set, wherein the first set including candidate values for the first parameter, the second set including candidate values for the second parameter, and the third set including candidate values for the third parameter;
  • the above-mentioned transceiver unit is further configured to: send second information to the terminal device, where the second information includes at least one of the first set, the second set or the third set.
  • the second information is carried in semi-static radio resource control RRC signaling.
  • the modulation order and/or code rate corresponding to the MCS is the largest among multiple terminal devices that communicate simultaneously.
  • the apparatus 2800 herein is embodied in the form of functional units.
  • the term "unit” as used herein may refer to an application specific integrated circuit (ASIC), an electronic circuit, a processor for executing one or more software or firmware programs (eg, a shared processor, a dedicated processor, or a group of processors, etc.) and memory, merge logic, and/or other suitable components to support the described functions.
  • ASIC application specific integrated circuit
  • the apparatus 2800 may be specifically a terminal device or a network device in the foregoing embodiment, and the apparatus 2800 may be configured to execute various functions corresponding to the terminal device or network device in the foregoing method embodiments. The processes and/or steps are not repeated here in order to avoid repetition.
  • the apparatus 2800 of each of the above solutions has the function of implementing the corresponding steps performed by the terminal device or the network device in the above method; the above function may be implemented by hardware, or by executing corresponding software by hardware.
  • the hardware or software includes one or more modules corresponding to the above functions.
  • the above-mentioned transceiver unit 2810 may include a sending unit and a receiving unit, the sending unit may be used to implement various steps and/or processes corresponding to the above-mentioned transceiver unit for performing the sending action, and the receiving unit may be used to implement the above-mentioned transceiver unit corresponding to The various steps and/or processes for performing the receiving action.
  • the sending unit may be replaced by a transmitter, and the receiving unit may be replaced by a receiver, respectively performing the transceiving operations and related processing operations in each method embodiment.
  • the apparatus 2800 in FIG. 28 may also be a chip or a system of chips, such as a system on chip (system on chip, SoC).
  • the transceiver unit 2810 may be a transceiver circuit of the chip, which is not limited herein.
  • FIG. 29 shows another communication apparatus 2900 provided by an embodiment of the present application.
  • the apparatus 2900 includes a processor 2910, a transceiver 2920, and a memory 2930.
  • the processor 2910, the transceiver 2920 and the memory 2930 communicate with each other through an internal connection path, the memory 2930 is used to store instructions, and the processor 2910 is used to execute the instructions stored in the memory 2930 to control the transceiver 2920 to send signals and / or receive signals.
  • the apparatus 2900 is configured to execute each process and step corresponding to the terminal device in the foregoing method embodiments.
  • the transceiver 2920 is configured to: receive first information from a network device, where the first information is used to indicate at least one of a first parameter, a second parameter or a third parameter, wherein the first parameter includes A parameter to increase or decrease the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, and the third parameter includes a modulation and coding strategy MCS for determining the modulo interval.
  • the processor 2910 is configured to: determine a signal according to the first information.
  • the transceiver 2920 is also used to: receive or transmit the signal.
  • the apparatus 2900 is configured to execute each process and step corresponding to the network device in the foregoing method embodiments.
  • the transceiver 2920 is configured to: send first information to the terminal device, where the first information is used to indicate at least one of the first parameter, the second parameter or the third parameter, wherein the first parameter includes a parameter for increasing A parameter for increasing or decreasing the modulo interval, the second parameter includes a parameter for maximizing the signal-to-interference-plus-noise ratio, and the third parameter includes a modulation and coding strategy MCS, which is used by the terminal device to determine the modulo interval.
  • the processor 2910 is configured to: determine a signal according to the first information.
  • the transceiver 2920 is also used to: transmit or receive the signal.
  • the apparatus 2900 may specifically be a terminal device or a network device in the foregoing embodiments, and may be used to execute various steps and/or processes corresponding to the terminal device or network device in the foregoing method embodiments.
  • the memory 2930 may include read only memory and random access memory and provide instructions and data to the processor. A portion of the memory may also include non-volatile random access memory.
  • the memory may also store device type information.
  • the processor 2910 may be configured to execute the instructions stored in the memory, and when the processor 2910 executes the instructions stored in the memory, the processor 2910 is configured to execute each of the foregoing method embodiments corresponding to the terminal device or network device steps and/or processes.
  • the transceiver 2920 may include a transmitter and a receiver, the transmitter may be used to implement various steps and/or processes corresponding to the foregoing transceiver for performing the sending action, and the receiver may be used to implement the corresponding application of the foregoing transceiver. Each step and/or process for performing the receiving action.
  • the processor of the above device may be a central processing unit (central processing unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like.
  • DSPs digital signal processors
  • ASIC application-specific integrated circuits
  • FPGA Field Programmable Gate Array
  • a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • each step of the above-mentioned method can be completed by a hardware integrated logic circuit in a processor or an instruction in the form of software.
  • the steps of the method disclosed in combination with the embodiments of the present application may be directly embodied as executed by a hardware processor, or executed by a combination of hardware and software units in the processor.
  • the software unit may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art.
  • the storage medium is located in the memory, and the processor executes the instructions in the memory, and completes the steps of the above method in combination with its hardware. To avoid repetition, detailed description is omitted here.
  • the present application provides a computer-readable storage medium, where the computer-readable storage medium is used to store a computer program, and the computer program is used to implement the methods corresponding to the terminal devices shown in various possible implementation manners in the foregoing embodiments.
  • the present application provides another computer-readable storage medium, where the computer-readable storage medium is used to store a computer program, and the computer program is used to implement the methods corresponding to the network devices shown in various possible implementation manners in the foregoing embodiments.
  • the present application provides a computer program product, the computer program product includes a computer program (also referred to as code, or instruction), when the computer program runs on a computer, the computer can execute the corresponding terminal equipment shown in the above embodiments. Methods.
  • the present application provides another computer program product, the computer program product includes a computer program (also referred to as code, or instructions), when the computer program runs on a computer, the computer can execute various possible implementations in the above embodiments.
  • a method corresponding to the network device shown in the implementation manner is implemented.
  • the present application provides a chip system, where the chip system is used to support the above-mentioned terminal device to implement the functions shown in the embodiments of the present application.
  • the present application provides another chip system, where the chip system is used to support the foregoing network device to implement the functions shown in the embodiments of the present application.
  • the implementation of the present application also provides a communication system, which may include the terminal equipment shown in FIG. 28 or FIG. 29 (the apparatus 2800 or the apparatus 2900 is embodied as a terminal equipment), and the network shown in FIG. 28 or FIG. 29.
  • Equipment apparatus 2800 or apparatus 2900 embodied as network equipment.
  • the present application also provides a communication device, including a communication interface and a logic circuit, where the communication interface is used to receive first information, and the logic circuit is used to determine a signal and communicate with the method in the above embodiment according to the first information.
  • the present application also provides another communication device, including a communication interface and a logic circuit, where the communication interface is used to send first information, and the logic circuit is used to determine a signal and communicate with the method in the above embodiment according to the first information .
  • the disclosed system, apparatus and method may be implemented in other manners.
  • the apparatus embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium.
  • the technical solution of the present application can be embodied in the form of a software product in essence, or the part that makes a contribution or a part of the technical solution.
  • the computer software product is stored in a storage medium and includes several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) is caused to execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes .

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Abstract

La présente demande concerne un procédé de communication et un appareil de communication. Le réglage d'un intervalle modulo, la détermination d'un vecteur de perturbation, et l'unification d'intervalles modulo d'un dispositif de terminal facilitent la réduction de perte de module d'un algorithme de précodage, la stabilisation et l'augmentation du rapport signal sur bruit d'une extrémité de réception, et l'amélioration du gain de performance de système. Le procédé comprend les étapes suivantes : un dispositif de réseau envoie des premières informations à un dispositif de terminal, les premières informations étant utilisées pour indiquer au moins l'un d'un premier paramètre, d'un deuxième paramètre ou d'un troisième paramètre, le premier paramètre comprenant un paramètre pour augmenter ou diminuer un intervalle modulo, le deuxième paramètre comprenant un paramètre pour maximiser un rapport signal sur interférence plus bruit, le troisième paramètre comprenant un schéma de modulation et de codage (MCS), et le MCS étant utilisé pour que le dispositif de terminal détermine l'intervalle modulo, et de manière correspondante, le dispositif de terminal reçoit les premières informations ; et le dispositif de terminal reçoit ou envoie un signal selon les premières informations.
PCT/CN2021/079557 2021-03-08 2021-03-08 Procédé de communication et appareil de communication WO2022188000A1 (fr)

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