WO2022067824A1 - Procédé de transmission de signaux et appareil associé - Google Patents

Procédé de transmission de signaux et appareil associé Download PDF

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Publication number
WO2022067824A1
WO2022067824A1 PCT/CN2020/119757 CN2020119757W WO2022067824A1 WO 2022067824 A1 WO2022067824 A1 WO 2022067824A1 CN 2020119757 W CN2020119757 W CN 2020119757W WO 2022067824 A1 WO2022067824 A1 WO 2022067824A1
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Prior art keywords
matrix
terminal device
channel
signal
terminal
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PCT/CN2020/119757
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English (en)
Chinese (zh)
Inventor
高翔
刘鹍鹏
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华为技术有限公司
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Priority to PCT/CN2020/119757 priority Critical patent/WO2022067824A1/fr
Priority to CN202080105611.6A priority patent/CN116235415A/zh
Publication of WO2022067824A1 publication Critical patent/WO2022067824A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting

Definitions

  • the present application relates to the field of communication technologies, and in particular, to a signal transmission method and related devices.
  • the 5G communication system has higher requirements on system capacity and spectral efficiency.
  • massive multiple input multiple output (MIMO) plays a crucial role in the spectral efficiency of the system.
  • precoding needs to be performed when the network device sends data to the terminal device through multiple antenna ports.
  • the network device can preprocess the signal to be transmitted by using a precoding matrix matching the channel when the channel state is known, so that the precoded transmission signal is adapted to the channel, thereby improving the transmission performance.
  • the sending device may also perform precoding in other manners. For example, in the case where the channel information cannot be obtained, a preset precoding matrix or a weighting processing method is used to perform precoding and the like.
  • the network device may send a demodulation reference signal (DMRS) to the terminal device, and the DMRS and the data signal perform the same precoding process based on the same precoding matrix.
  • DMRS demodulation reference signal
  • the receiver of the terminal device estimates the equivalent channel matrix or the equivalent channel coefficients by demodulating the reference signal, and estimates the received data signal according to the equivalent channel matrix or the equivalent channel coefficients.
  • the feedback matrix B is used for precoding to eliminate interference.
  • B GR H
  • R is obtained by performing QR decomposition on the conjugate transposed matrix H H of the channel matrix H of all users
  • Q is a unitary matrix.
  • the G matrix is a diagonal matrix, and its main diagonal element is the reciprocal of the main diagonal element of the R matrix.
  • the dimension of the user complete channel matrix H is For large-scale antennas, the number of transmitting antennas is usually large, such as 64T. In addition, when the number of paired users is large, value is also larger. Therefore, the QR decomposition of the channel matrix H has high complexity. Therefore, in the process of THP precoding, the matrix calculation dimension is large and the complexity is high.
  • the present application provides a signal transmission method and a related device, which can reduce the computational difficulty of channel matrix decomposition, reduce the computational complexity of precoding, and improve transmission performance.
  • the present application provides a signal transmission method, including: a terminal device receives a first received signal; the first received signal is obtained by precoding a first reference signal according to a first channel matrix, and then sent to the terminal device by the terminal device. If the corresponding downlink channel is sent to the terminal device, the first channel matrix is obtained according to the second channel matrix, and the number of rows and/or columns of the first channel matrix is less than or equal to the one participating in the MIMO transmission. or the sum of the number of receiving antennas of multiple terminal devices, the second channel matrix is the channel matrix of the downlink channel corresponding to the one or more terminal devices; the terminal device obtains the Equivalent channel coefficient corresponding to the terminal device.
  • the equivalent channel coefficients can be used to detect the data signal.
  • the first received signal is sent to the terminal device through the downlink channel corresponding to the terminal device after precoding the first reference signal according to the first channel matrix, and the first channel matrix is based on the first channel matrix. Obtained from the two-channel matrix, the number of rows and/or columns of the first channel matrix is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, so that the matrix calculation can be reduced in the process of THP precoding. Difficulty, making the calculation of THP precoding simpler.
  • the precoding in this application may be THP precoding, and may also be other precoding techniques.
  • the precoding may be, but not limited to, symbol level precoding (SLP), vector perturbation (VP) precoding, zero-forcing (ZF) precoding, and the like.
  • the first channel matrix is obtained by processing the second channel matrix according to the receiving weight matrix W and the weight matrix V.
  • the weight matrix may be an outer weight matrix.
  • the number of rows of the weight matrix and/or the number of columns of the weight matrix is less than or equal to the sum of the number of receiving antennas of the one or more terminal devices participating in the MIMO transmission.
  • the first channel matrix second channel matrix first channel matrix The number of rows is less than or equal to the sum of the number of receive antennas of n terminal devices participating in MIMO transmission, or the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the first channel matrix second channel matrix first channel matrix The number of columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, or the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the number of rows of the weight matrix V is the sum of the number of transport streams of the one or more terminal devices, and/or the number of columns of the weight matrix is the sum of the number of transport streams of the multiple terminal devices sum of numbers.
  • the first channel matrix can be The number of rows and columns are the sum L of the total number of transmission streams of one or more terminal devices participating in MIMO transmission, so that the sum L of the total number of transmission streams of n terminal devices participating in MIMO transmission is less than that of multiple terminal devices.
  • the sum of the total number of receiving antennas, and the resulting matrix dimension mismatch problem are the sum of the total number of receiving antennas, and the resulting matrix dimension mismatch problem.
  • the first channel matrix W is the reception weight matrix
  • V is the weight matrix
  • H is the second channel matrix.
  • the number of rows of the reception weight matrix and/or the number of columns of the weight matrix is less than or equal to the number of the participating MIMO transmission.
  • the second channel matrix is dimensionally reduced by receiving the weight matrix and the weight matrix to obtain a first matrix whose dimension is less than or equal to the second channel matrix, thereby reducing the computational difficulty of channel matrix decomposition.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to the terminal device; the method further includes:
  • the terminal device receives the second received signal
  • the equivalent channel coefficient corresponding to the terminal device includes:
  • the terminal device obtains an equivalent channel coefficient corresponding to the terminal device according to the estimated reception weight sub-matrix and the first received signal. For example, the terminal device may left-multiply the first received signal by the estimated receiving weight sub-matrix to obtain the third received signal, and then perform channel estimation according to the third received signal and the first reference signal.
  • the terminal device determines the estimated receiving weight sub-matrix corresponding to the terminal device according to the receiver type and the second received signal corresponding to the second reference signal.
  • the network device when performing channel estimation, in addition to the reference signal used for direct channel estimation, the network device also sends another reference signal (second reference signal).
  • second reference signal This scheme of implicitly indicating the receiving weight sub-matrix through the second reference signal can avoid the signaling notification of the receiving weight matrix, reduce the downlink signaling overhead, and avoid the quantization during notification. performance loss.
  • the weight matrix includes a weight sub-matrix corresponding to the terminal device
  • the second received signal is obtained by the network device after precoding the second reference signal according to the weight sub-matrix,
  • the downlink channel corresponding to the terminal device is sent to the terminal device.
  • the terminal device can estimate the estimated receiving weight sub-matrix corresponding to the terminal device according to the second reference signal.
  • the receiving weight sub-matrix corresponding to the terminal device is obtained according to the channel matrix and the weight matrix corresponding to the terminal device.
  • the first channel matrix is obtained by processing the second channel matrix according to the receiving weight matrix W.
  • the number of rows of the receiving weight matrix W is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, that is, the first channel matrix
  • the number of rows is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the first channel matrix second channel matrix The number of columns of the receiving weight matrix W is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, that is, a channel matrix The number of columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the second channel matrix is dimensionally reduced by receiving the weight matrix and the weight matrix to obtain a first matrix whose dimension is less than or equal to the second channel matrix, thereby reducing the computational difficulty of channel matrix decomposition.
  • the number of rows of the reception weight matrix is the sum of the numbers of transport streams of the multiple terminal devices.
  • the first channel matrix can be The number of rows is the sum L of the total number of transmission streams of one or more terminal devices participating in MIMO transmission, and it can be solved that the sum of the total number of transmission streams L of n terminal devices participating in MIMO transmission is less than the total number of receiving antennas of multiple terminal devices. The sum of the numbers, and the resulting matrix dimension mismatch problem.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to the terminal device; the method further includes:
  • the terminal device receives the second received signal
  • the equivalent channel coefficient corresponding to the terminal device includes:
  • the terminal device obtains an equivalent channel coefficient corresponding to the terminal device according to the estimated reception weight sub-matrix and the first received signal.
  • the terminal device determines the estimated receiving weight sub-matrix corresponding to the terminal device according to the receiver type and the second received signal corresponding to the second reference signal.
  • another reference signal (second reference signal) is also sent. This scheme of implicitly indicating the receiving weight sub-matrix through the second reference signal can avoid the signaling notification of the receiving weight matrix, reduce the downlink signaling overhead, and avoid the quantization during notification. performance loss.
  • the method further includes: receiving, by the terminal device, a first received data signal, where the first received data signal is after the network device precodes the transmitted data signal according to the first channel matrix, It is sent to the terminal device through the downlink channel corresponding to the terminal device; the terminal device detects the first received data signal according to the estimated receiving weight sub-matrix and the equivalent channel coefficient corresponding to the terminal device. In this way, the terminal device can detect the received data signal according to the equivalent channel coefficient.
  • the terminal device detecting the data signal according to the estimated reception weight sub-matrix and the equivalent channel coefficient corresponding to the terminal device comprises: the terminal device uses the estimated reception weight sub-matrix to Multiply the first received data signal to obtain a second received data signal corresponding to the first received data signal; the terminal device obtains the second received data signal and the equivalent channel coefficient corresponding to the terminal device according to the second received data signal an estimation result for the transmitted data signal.
  • the network device processes the transmitted data signal according to the receiving weight matrix, and the terminal device processes the first received data signal according to the receiving weight matrix. Calculated matches. The reporting or downlink notification of the detection weight matrix can be avoided.
  • the method further includes: sending, by the terminal device, a receiver type of the terminal device, and the receiver type of the terminal device is used by the network device to determine the receiving right matrix.
  • the network device can determine the reception weight sub-matrix corresponding to the terminal device according to the receiver type reported by the terminal device and according to the preset receiver or reception weight calculation method, so as to obtain the first channel matrix.
  • an embodiment of the present application further provides a signal transmission method for multiple-input multiple-output MIMO transmission, including: a network device precoding a first reference signal according to a first channel matrix to obtain a first transmitted signal, the The first channel matrix is obtained according to the second channel matrix.
  • the number of rows and/or columns of the first channel matrix is less than or equal to the sum of the number of receiving antennas of one or more terminal devices participating in the MIMO transmission.
  • the second channel matrix is a channel matrix of downlink channels of the one or more terminal devices; the network device sends the first transmission signal.
  • the first transmission signal is sent to one or more terminal devices participating in the MIMO transmission.
  • the one or more terminal devices receive respective corresponding first received signals on respective downlink channels.
  • the network device precodes the first reference signal according to the first channel matrix, the first channel matrix is obtained according to the second channel matrix, and the number of rows and/or columns of the first channel matrix is less than or It is equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, so that the difficulty of matrix calculation can be reduced in the process of THP precoding, and the calculation of THP precoding can be made simpler.
  • the second channel matrix first channel matrix The number of rows is less than or equal to the sum of the number of receive antennas of n terminal devices participating in MIMO transmission, or the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the second channel matrix first channel matrix The number of columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, or the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the first channel matrix W is a receiving weight matrix
  • V is a weight matrix
  • the number of rows of the receiving weight matrix and/or the number of columns of the weight matrix is less than or equal to the sum of the number of receiving antennas of the one or more terminal devices.
  • the second channel matrix is dimensionally reduced by receiving the weight matrix and the weight matrix to obtain a first matrix whose dimension is less than or equal to the second channel matrix, thereby reducing the computational difficulty of channel matrix decomposition.
  • the number of rows of the receiving weight matrix is the sum of the number of transmission streams of the one or more terminal devices, and/or the number of columns of the weight matrix is the number of transmission streams of the one or more terminal devices. the number of streams.
  • the first channel matrix can be The number of rows and columns are the sum L of the total number of transmission streams of one or more terminal devices participating in MIMO transmission, so that the sum L of the total number of transmission streams of n terminal devices participating in MIMO transmission is less than that of multiple terminal devices. The sum of the total number of receiving antennas, and the resulting matrix dimension mismatch problem.
  • the weight matrix includes a weight sub-matrix corresponding to each terminal device in the one or more terminal devices, and the weight sub-matrix corresponding to each terminal device is based on the weight sub-matrix corresponding to the terminal device.
  • the channel matrix of the downlink channel is determined.
  • the weight sub-matrix calculated by the network device only depends on the channel matrix corresponding to each terminal device, and does not depend on the channel information of other users, and does not require joint detection or notification of channel state information of other users.
  • the receiving weight sub-matrix corresponding to each terminal device is obtained according to the channel matrix and weight matrix corresponding to the terminal device.
  • the method further includes: the network device sends a second transmission signal, and each terminal device in the one or more terminal devices determines its own corresponding reception right by the second transmission signal The estimated receive weight sub-matrix corresponding to the sub-matrix.
  • the terminal device can determine the estimated receiving weight sub-matrix corresponding to the terminal device according to the receiver type and the second received signal corresponding to the second reference signal.
  • the network device sends another reference signal (second reference signal) in addition to the reference signal used for direct channel estimation. This scheme of implicitly indicating the receiving weight sub-matrix through the second reference signal can avoid the signaling notification of the receiving weight matrix, reduce the downlink signaling overhead, and avoid the quantization during notification. performance loss.
  • the second transmission signal is obtained by precoding the second reference signal by the network device according to the weight sub-matrix.
  • the terminal device can estimate the estimated receiving weight sub-matrix corresponding to the terminal device according to the second reference signal.
  • the first channel matrix W is a receiving weight matrix
  • the number of rows of the receiving weight matrix is less than or equal to the sum of the number of receiving antennas of the one or more terminal devices.
  • the second channel matrix is dimensionally reduced by receiving the weight matrix and the weight matrix to obtain a first matrix whose dimension is less than or equal to the second channel matrix, thereby reducing the computational difficulty of channel matrix decomposition.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to each terminal device in the plurality of terminal devices, and the receiving weight sub-matrix corresponding to each terminal device is the network device according to the terminal device.
  • the receiver type of the device is determined.
  • the network device does not depend on the channel information of other users to calculate the receiving weight matrix, and does not need joint detection or notification of channel state information of other users. In this way, the terminal equipment at the receiving end can estimate the estimated receiving weight sub-matrix corresponding to the receiving weight sub-matrix corresponding to the terminal equipment in a simpler manner when detecting the signal, thereby reducing the processing complexity of the terminal equipment.
  • the method further includes: the network device precoding the transmission data signal according to the first channel matrix to obtain a precoded transmission data signal; the network device sends the precoding After the data signal is sent.
  • the terminal device since the first transmitted signal is encoded based on the first channel matrix to encode the first reference signal, and the transmitted data signal is also precoded based on the first channel matrix, the terminal device can The equivalent channel coefficient corresponding to the terminal device is obtained from the first received signal of the terminal device, and the received data signal corresponding to the transmitted data signal is detected according to the equivalent channel coefficient.
  • an embodiment of the present application further provides a signal transmission device, including a receiving unit and a processing unit; the signal transmission device may be, for example, a terminal device, or the signal transmission device may be deployed in the terminal device; the receiving unit is configured to receive a first received signal; the first received signal is sent to the terminal device through the downlink channel corresponding to the terminal device after precoding the first reference signal according to the first channel matrix, and the first channel matrix is based on the Obtained from the second channel matrix, the number of rows and/or columns of the first channel matrix is less than or equal to the sum of the number of receiving antennas of one or more terminal devices participating in MIMO transmission, and the second channel matrix is all The channel matrix of the downlink channel corresponding to the one or more terminal equipment; the processing unit is configured to obtain the equivalent channel coefficient corresponding to the terminal equipment according to the first received signal.
  • the first received signal is sent to the terminal device through the downlink channel corresponding to the terminal device after precoding the first reference signal according to the first channel matrix, and the first channel matrix is based on the first channel matrix. Obtained from the two-channel matrix, the number of rows and/or columns of the first channel matrix is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, so that the matrix calculation can be reduced in the process of THP precoding. Difficulty, making the calculation of THP precoding simpler.
  • the first channel matrix W is the reception weight matrix
  • V is the weight matrix
  • H is the second channel matrix.
  • the number of rows of the reception weight matrix and/or the number of columns of the weight matrix is less than or equal to the number of the participating MIMO transmission. The sum of the number of receive antennas of one or more terminal devices.
  • the number of rows of the receiving weight matrix is the sum of the number of transport streams of the one or more terminal devices, and/or the number of columns of the weight matrix is the number of the plurality of terminal devices The sum of the number of transport streams.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to the terminal device; the receiving unit is further configured to receive a second received signal;
  • the processing unit is also used to:
  • obtaining the equivalent channel coefficient corresponding to the terminal device includes:
  • Equivalent channel coefficients corresponding to the terminal equipment are obtained according to the estimated receiving weight sub-matrix and the first received signal.
  • the weight matrix includes a weight sub-matrix corresponding to the terminal device, and the second received signal is obtained after the network device precodes the second reference signal according to the weight sub-matrix, It is sent to the terminal device through the downlink channel corresponding to the terminal device.
  • the receiving weight sub-matrix corresponding to the terminal device is obtained according to the channel matrix and the weight matrix corresponding to the terminal device.
  • the first channel matrix W is a receiving weight matrix, and the number of rows of the receiving weight matrix is less than the sum of the number of receiving antennas of the one or more terminal devices participating in the MIMO transmission.
  • the number of rows of the reception weight matrix is the sum of the number of transport streams of the plurality of terminal devices.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to the terminal device; the receiving unit is further configured to receive a second received signal;
  • Processing units are also used to:
  • obtaining the equivalent channel coefficient corresponding to the terminal device includes:
  • Equivalent channel coefficients corresponding to the terminal equipment are obtained according to the estimated receiving weight sub-matrix and the first received signal.
  • the receiving unit is further configured to receive a first received data signal, where the first received data signal is a network device that precodes the transmitted data signal according to the first channel matrix and passes through the terminal device.
  • the corresponding downlink channel is sent to the terminal device;
  • the processing unit is further configured to detect the first received data signal according to the estimated receiving weight sub-matrix and the equivalent channel coefficient corresponding to the terminal device.
  • the processing unit in terms of detecting the data signal according to the estimated receiving weight sub-matrix and the equivalent channel coefficient corresponding to the terminal device, is specifically configured to:
  • the estimation result of the transmitted data signal is obtained according to the second received data signal and the equivalent channel coefficient corresponding to the terminal device.
  • the signal transmission apparatus further includes: a sending unit, configured to send a receiver type of the terminal device, where the receiver type of the terminal device is used by the network device to determine the reception weight matrix.
  • embodiments of the present application further provide a signal transmission device for multiple-input multiple-output MIMO transmission, including a processing unit and a sending unit;
  • the signal transmission device may be, for example, a network device, or the signal transmission device may be deployed in network equipment;
  • the processing unit is configured to precode the first reference signal according to the first channel matrix to obtain the first transmission signal, the first channel matrix is obtained according to the second channel matrix, and the value of the first channel matrix is The number of rows and/or columns is less than or equal to the sum of the number of receiving antennas of one or more terminal devices participating in the MIMO transmission, and the second channel matrix is the channel matrix of the downlink channel of the one or more terminal devices;
  • the sending unit is used for sending the first sending signal.
  • the signal transmission apparatus precodes the first reference signal according to the first channel matrix, the first channel matrix is obtained according to the second channel matrix, and the number of rows and/or columns of the first channel matrix is less than Or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, so that the difficulty of matrix calculation can be reduced in the process of THP precoding, and the calculation of THP precoding can be made simpler.
  • the first channel matrix W is a receiving weight matrix
  • V is a weight matrix
  • the number of rows of the receiving weight matrix and/or the number of columns of the weight matrix is less than or equal to the sum of the number of receiving antennas of the one or more terminal devices.
  • the number of rows of the reception weight matrix is the sum of the number of transport streams of the one or more terminal devices, and/or the number of columns of the weight matrix is the number of the one or more terminals The number of transport streams for the device.
  • the weight matrix includes a weight sub-matrix corresponding to each terminal device in the one or more terminal devices, and the weight sub-matrix corresponding to each terminal device is based on the corresponding weight sub-matrix of the terminal device.
  • the channel matrix of the downlink channel is determined.
  • the receiving weight sub-matrix corresponding to each terminal device is obtained according to the channel matrix and weight matrix corresponding to the terminal device.
  • the sending unit is further configured to send a second sending signal, and in the second sending signal, each terminal device in the one or more terminal devices determines the corresponding receiving weight sub-matrix corresponding to itself.
  • the second transmission signal is obtained by precoding the second reference signal by the network device according to the weight sub-matrix.
  • the first channel matrix W is a receiving weight matrix, and the number of rows of the receiving weight matrix is less than or equal to the sum of the number of receiving antennas of the one or more terminal devices.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to each terminal device in the plurality of terminal devices, and the receiving weight sub-matrix corresponding to each terminal device is the network device according to the terminal device.
  • the receiver type of the device is determined.
  • the processing unit is further configured to perform precoding on the transmission data signal according to the first channel matrix to obtain a precoded transmission data signal; the transmission unit is further configured to send the precoded transmission data Signal.
  • the present application provides a communication device, which is a terminal device or a network device, and includes a processor and a memory, the memory is used to store computer instructions, and the processor executes the computer program or instructions in the memory, so that the above-mentioned No.
  • a communication device which is a terminal device or a network device, and includes a processor and a memory
  • the memory is used to store computer instructions
  • the processor executes the computer program or instructions in the memory, so that the above-mentioned No. The method of any one of the embodiments of one aspect or the second aspect above is performed.
  • the present application further provides a communication device, the communication device includes a processor, a memory, and a transceiver, where the transceiver is used for receiving signals or sending signals; the memory is used for storing program codes; The calling program code performs the method of the first aspect or the second aspect.
  • the memory is used to store computer programs or instructions, the processor is used to call and run the computer programs or instructions from the memory, and when the processor executes the computer programs or instructions in the memory, the communication device is made to perform the first aspect or the first aspect above. any one of the methods of the two 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 transceiver may include a transmitter (transmitter) and a receiver (receiver).
  • the present application provides an apparatus, the apparatus includes a processor, and the processor is coupled to a memory, and when the processor executes a computer program or instructions in the memory, the method of any one of the embodiments of the first aspect is executed.
  • the apparatus further includes a memory.
  • the apparatus further includes a communication interface to which the processor is coupled.
  • the apparatus is a terminal device.
  • the communication interface may be a transceiver, or an input/output interface.
  • the transceiver may be a transceiver circuit.
  • the input/output interface may be an input/output circuit.
  • the device is a chip or a system of chips.
  • the communication interface may be an input/output interface, an interface circuit, an output circuit, an input circuit, a pin or a related circuit, etc. on the chip or a chip system.
  • a processor may also be embodied as a processing circuit or a logic circuit.
  • the present application provides a communication device, the communication device includes a processor and an interface circuit, the interface circuit is used to receive code instructions and transmit them to the processor; the processor runs the code instructions to execute the above-mentioned first aspect or the above-mentioned second aspect A method in any of the possible implementations of an aspect.
  • the present application provides a system, where the system includes the above-mentioned terminal device and network device.
  • 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 is run, the computer executes the above-mentioned first aspect or the above-mentioned second aspect.
  • a computer program also referred to as code, or instruction
  • the computer executes the above-mentioned first aspect or the above-mentioned second aspect.
  • the present application provides a computer-readable storage medium, where the computer-readable medium stores a computer program (also referred to as code, or instruction) when it runs on a computer, so that the computer executes the above-mentioned first aspect Or the method in any possible implementation manner of the second aspect above.
  • a computer program also referred to as code, or instruction
  • the present application further provides a chip, including: a processor and an interface, configured to execute a computer program or instruction stored in a memory, to execute any of the possible implementations of the first aspect or the second aspect.
  • 1 is a network architecture diagram of a network system involved in an embodiment of the application
  • FIG. 2A is a schematic structural diagram of a communication device according to an embodiment of the present application.
  • 2B is a schematic structural diagram of a chip according to an embodiment of the present application.
  • 3A is a schematic diagram of a scenario of THP precoding
  • 3B is a schematic flowchart of THP precoding
  • FIG. 4 is a schematic flowchart of a signal transmission method according to an embodiment of the present application.
  • 5A is another schematic flowchart of a signal transmission method according to an embodiment of the present application.
  • FIG. 5B is another schematic flowchart of a signal transmission method according to an embodiment of the present application.
  • 5C is a schematic diagram of a scenario involved in a signal transmission method according to an embodiment of the present application.
  • FIG. 6 is another schematic flowchart of a signal transmission method according to an embodiment of the present application.
  • FIG. 7 is another schematic flowchart of a signal transmission method according to an embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of a signal transmission apparatus according to an embodiment of the present application.
  • FIG. 9 is another schematic structural diagram of a signal transmission apparatus according to an embodiment of the present application.
  • LTE Long Term Evolution
  • FDD frequency division duplex
  • UMTS time division duplex
  • WiMAX worldwide interoperability for microwave access
  • 5G mobile communication system or new radio access technology (new radio Access Technology, NR).
  • the 5G mobile communication system may include a non-standalone (NSA, NSA) and/or an independent network (standalone, SA).
  • NSA non-standalone
  • SA independent network
  • the technical solutions provided in this application can also be applied to machine type communication (MTC), Long Term Evolution-machine (LTE-M), device-to-device (D2D) Network, machine to machine (M2M) network, internet of things (IoT) network or other network.
  • the IoT network may include, for example, the Internet of Vehicles.
  • vehicle to X, V2X, X can represent anything
  • the V2X may include: vehicle to vehicle (vehicle to vehicle, V2V) communication, vehicle and vehicle Infrastructure (V2I) communication, vehicle to pedestrian (V2P) or vehicle to network (V2N) communication, etc.
  • the network device may be any device with a wireless transceiver function.
  • the device includes but is not limited to: evolved Node B (evolved Node B, eNB), radio network controller (radio network controller, RNC), Node B (Node B, NB), base station controller (base station controller, BSC) , base transceiver station (base transceiver station, BTS), home base station (for example, home evolved NodeB, or home Node B, HNB), baseband unit (baseband unit, BBU), wireless fidelity (wireless fidelity, WiFi) system Access point (AP), wireless relay node, wireless backhaul node, transmission point (TP) or transmission and reception point (TRP), etc.
  • evolved Node B evolved Node B
  • RNC radio network controller
  • Node B Node B
  • BSC base station controller
  • base transceiver station base transceiver station
  • BTS home base station
  • home base station for example, home evolved NodeB, or home Node B, HNB
  • It can also be 5G, such as NR , a gNB in the system, or, a transmission point (TRP or TP), one or a group of (including multiple antenna panels) antenna panels of a base station in a 5G system, or, it can also be a network node that constitutes a gNB or a transmission point, Such as baseband unit (BBU), or distributed unit (distributed unit, DU) and so on.
  • BBU baseband unit
  • DU distributed unit
  • a gNB may include a centralized unit (CU) and a DU.
  • the gNB may also include an active antenna unit (AAU).
  • CU implements some functions of gNB
  • DU implements some functions of gNB.
  • CU is responsible for processing non-real-time protocols and services, implementing radio resource control (RRC), and packet data convergence protocol (PDCP) layer function.
  • RRC radio resource control
  • PDCP packet data convergence protocol
  • the DU is responsible for processing physical layer protocols and real-time services, and implementing the functions of the radio link control (RLC) layer, medium access control (MAC) layer, and physical (PHY) layer.
  • RLC radio link control
  • MAC medium access control
  • PHY physical layer.
  • AAU implements some physical layer processing functions, radio frequency processing and related functions of active antennas.
  • the higher-layer signaling such as the RRC layer signaling
  • the network device may be a device including one or more of a CU node, a DU node, and an AAU node.
  • the CU can be divided into network devices in an access network (radio access network, RAN), and the CU can also be divided into network devices in a core network (core network, CN), which is not limited in this application.
  • the network equipment provides services for the cell, and the terminal equipment communicates with the cell through the transmission resources (for example, frequency domain resources, or spectrum resources) allocated by the network equipment, and the cell may belong to a macro base station (for example, a macro eNB or a macro gNB, etc.) , can also belong to the base station corresponding to the small cell, where the small cell can include: urban cell (metro cell), micro cell (micro cell), pico cell (pico cell), femto cell (femto cell), etc. , these small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data transmission services.
  • a macro base station for example, a macro eNB or a macro gNB, etc.
  • the small cell can include: urban cell (metro cell), micro cell (micro cell), pico cell (pico cell), femto cell (femto cell), etc.
  • these small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data
  • a terminal device may also be referred to as user equipment (user equipment, UE), an access terminal device, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, a remote terminal device, a mobile device, a user Terminal equipment, terminal equipment, wireless communication equipment, user agent or user equipment.
  • user equipment user equipment
  • UE user equipment
  • an access terminal device a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, a remote terminal device, a mobile device, a user Terminal equipment, terminal equipment, wireless communication equipment, user agent or user equipment.
  • 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 equipment can be: mobile phone (mobile phone), tablet computer (pad), computer with wireless transceiver function (such as notebook computer, palmtop computer, etc.), mobile internet device (mobile internet device, MID), virtual Virtual reality (VR) equipment, augmented reality (AR) equipment, wireless terminal equipment in industrial control, wireless terminal equipment in self-driving (self driving), remote medical (remote medical) wireless terminal equipment in smart grid, wireless terminal equipment in transportation safety, wireless terminal equipment in smart city, wireless terminal equipment in smart home Wireless terminal equipment, cellular phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDA), with wireless communication capabilities handheld devices, computing devices or other processing devices connected to wireless modems, in-vehicle devices, wearable devices, end devices in 5G networks or end devices in the future evolved public land mobile network
  • wearable devices can also be called wearable smart devices, which is a general term for the intelligent design of daily wear and the development of wearable devices using wearable technology, such as glasses, gloves, watches, clothing and shoes.
  • a wearable device is a portable device that is worn directly on the body or integrated into the user's clothing or accessories.
  • Wearable device is not only a hardware device, but also realizes powerful functions through software support, data interaction, and cloud interaction.
  • wearable smart devices include full-featured, large-scale, complete or partial functions without relying on smart phones, such as smart watches or smart glasses, and only focus on a certain type of application function, which needs to cooperate with other devices such as smart phones. Use, such as all kinds of smart bracelets, smart jewelry, etc. for physical sign monitoring.
  • the terminal device may also be a terminal device in an internet of things (Internet of things, IoT) system.
  • IoT Internet of things
  • IoT is an important part of the development of information technology in the future. Its main technical feature is to connect items to the network through communication technology, so as to realize the intelligent network of human-machine interconnection and interconnection of things. IoT technology can achieve massive connections, deep coverage, and power saving of terminal devices through, for example, narrowband NB technology.
  • terminal equipment can also include sensors such as smart printers, train detectors, and gas stations.
  • the main functions include collecting data (part of terminal equipment), receiving control information and downlink data of network equipment, and sending electromagnetic waves to transmit uplink data to network equipment. .
  • FIG. 1 shows a schematic diagram of a communication system applicable to the method provided by this embodiment of the present application.
  • the communication system may include at least one network device; the communication system may also include at least one terminal device.
  • the terminal equipment in the communication system may be mobile or fixed.
  • Network devices and end devices can communicate over wireless links. Each network device can provide communication coverage for a specific geographic area and can communicate with terminal devices located within that coverage area.
  • the network device may send configuration information to the terminal device, and the terminal device may send uplink data to the network device based on the configuration information; for another example, the network device may send downlink data to the terminal device. Therefore, the network device and the terminal device in FIG. 1 constitute a communication system.
  • the terminal devices may also communicate with network devices respectively. Direct communication between end devices is possible.
  • FIG. 1 exemplarily shows a network device, a plurality of terminal devices, and communication links between the communication devices.
  • the communication system may include multiple network devices, and the coverage of each network device may include other numbers of terminal devices, such as more or less terminal devices. This application does not limit this.
  • Each of the above communication devices may be configured with multiple antennas.
  • the plurality of antennas may include at least one transmit antenna for transmitting signals and at least one receive antenna for receiving signals.
  • each communication device additionally includes a transmitter chain and a receiver chain, which can be understood by those of ordinary skill in the art, all of which may include multiple components (eg, processors, modulators, multiplexers) related to signal transmission and reception. , demodulator, demultiplexer or antenna, etc.). Therefore, the network device and the terminal device can communicate through the MIMO technology.
  • the wireless communication system may further include other network entities such as a network controller, a mobility management entity, and the like, which are not limited in this embodiment of the present application.
  • network entities such as a network controller, a mobility management entity, and the like, which are not limited in this embodiment of the present application.
  • FIG. 2A is a schematic structural diagram of a communication device according to an embodiment of the present application.
  • the communication apparatus 200 may include: a processor 201 , a transceiver 205 , and optionally a memory 202 .
  • the transceiver 205 may be referred to as a transceiver unit, a transceiver, or a transceiver circuit, etc., for implementing a transceiver function.
  • the transceiver 205 may include a receiver and a transmitter, the receiver may be called a receiver or a receiving circuit, etc., for implementing a receiving function; the transmitter may be called a transmitter or a transmitting circuit, etc., for implementing a transmitting function.
  • the processor 201 can control the MAC layer and the PHY layer by running the computer program or software code or instruction 203 therein, or by calling the computer program or software code or instruction 204 stored in the memory 202, so as to realize the following aspects of the present application.
  • the processor 201 can be a central processing unit (central processing unit, CPU), and the memory 202 can be, for example, a read-only memory (read-only memory, ROM), or a random access memory (random access memory, RAM).
  • the processor 201 and transceiver 205 described in this application may be implemented in integrated circuits (ICs), analog ICs, radio frequency integrated circuits (RFICs), mixed-signal ICs, application specific integrated circuits (ASICs), printed circuits board (printed circuit board, PCB), electronic equipment, etc.
  • ICs integrated circuits
  • RFICs radio frequency integrated circuits
  • ASICs application specific integrated circuits
  • PCB printed circuits board
  • electronic equipment etc.
  • the above-mentioned communication apparatus 200 may further include an antenna 206, and each module included in the communication apparatus 200 is only for illustration, which is not limited in this application.
  • the communication apparatus 200 described in the above embodiments may be network equipment or terminal equipment, but the scope of the communication apparatus described in this application is not limited thereto, and the structure of the communication apparatus may not be limited by FIG. 2A .
  • the communication apparatus may be a stand-alone device or may be part of a larger device.
  • the implementation form of the communication device may be:
  • Independent integrated circuit IC or chip, or, chip system or subsystem
  • a set of one or more ICs, optionally, the IC set may also include storage for storing data and instructions components; (3) modules that can be embedded in other devices; (4) receivers, smart terminals, wireless devices, handsets, mobile units, in-vehicle devices, cloud devices, artificial intelligence devices, etc.; (5) others, etc. .
  • the implementation form of the communication device is a chip or a chip system
  • the chip shown in Figure 2B includes a processor and an interface.
  • the number of processors may be one or more, and the number of interfaces may be multiple. Interfaces are used for signal reception and transmission.
  • the chip or chip system may include memory.
  • the memory is used to store the necessary program instructions and data of the chip or chip system.
  • the processing block diagram of THP precoding includes a process of nonlinear precoding and a process of linear precoding. Based on the scenario that the number of transmit antennas is equal to the total number of receive antennas of all terminal devices participating in MIMO transmission, and equal to the total number of transmission streams L of all users, the process of THP precoding is described. As shown in the schematic flowchart of FIG. 3B, in the related art, the process of THP precoding includes the following steps:
  • the network device performs interference cancellation and modulo calculation on the transmitted modulation symbol vector based on the feedback matrix to obtain the transmitted symbol vector.
  • step 301 can also be understood as a process of nonlinear precoding.
  • n terminal devices participate in MIMO transmission
  • the n terminal devices may be denoted as terminal device 1, terminal device 2, . . . , terminal device n.
  • a terminal device participating in MIMO transmission may be a terminal device participating in pairing, or a terminal device participating in multi-user MU-MIMO transmission.
  • Each terminal device corresponds to the transmitted symbol vector
  • L k represents the number of transmitted transport streams corresponding to terminal device k.
  • s k,l (l ⁇ [1,L k ]) represents the symbol sent by the lth transport stream corresponding to terminal device k.
  • the total number of transmitted transport streams corresponding to n terminal devices is
  • the dimension of the feedback matrix B is L ⁇ L.
  • H H QR.
  • H k represents the channel matrix corresponding to terminal device k
  • the dimension is represents the number of receiving antennas of the terminal device k
  • NT represents the number of transmitting antennas of the network device.
  • the G matrix is a diagonal matrix of dimension L ⁇ L, and its main diagonal element is the reciprocal of the main diagonal element of the R matrix, that is, where r kk represents the element corresponding to the k-th row and the k-th column of the R matrix.
  • Matrix B is a lower triangular matrix with elements on the main diagonal of 1.
  • the matrix Q is a unitary matrix of dimension L ⁇ L.
  • the transmission symbol x k output after the network device performs interference cancellation and modulo calculation on the transmission modulation symbol vector can be expressed as:
  • B k,l represents the element corresponding to the k-th row and the l-th column of the B matrix.
  • Mod ⁇ ⁇ x ⁇ represents the modulo operation, and the modulo operation parameter is ⁇ . Used to power constrain the transmitted symbols after nonlinear operation.
  • d k represents the rounded part obtained by modulo operation of the kth space layer.
  • one spatial layer corresponds to one transport stream.
  • the obtained transmitted symbol vector can be expressed as:
  • v (v 1 , v 2 , . . . , v L ) T
  • the network device performs linear precoding on the transmitted symbol vector x to obtain a precoded transmitted symbol vector.
  • the network device performs linear precoding on the transmitted symbol vector x by using the matrix Q to obtain the precoded transmitted symbol vector ⁇ is the power normalization factor.
  • the power normalization factor in this embodiment of the present application may also be a power adjustment factor, a power control factor, or a power factor.
  • the power factor can be 1, or a real number greater than 1 or less than 1.
  • the signal received by one or more terminal devices participating in MIMO transmission can be represented as where n is additive white Gaussian noise, sum or interference.
  • y (y 1 , y 2 ,...,y n ) T
  • y k represents the received symbol vector corresponding to terminal device k
  • y k,l represents the received signal corresponding to the lth receiving antenna of terminal device k.
  • the G matrix is a diagonal matrix. Therefore, through THP precoding, the multi-user multi-antenna channel can be converted into parallel sub-channels, and the received signal corresponding to the u-th terminal device can be expressed as in, is the sub-matrix corresponding to the u-th terminal device in matrix G -1 ,
  • the transport stream corresponding to the u-th spatial layer of terminal equipment k, the corresponding equivalent channel coefficient is is a matrix Elements located on the main diagonal in the row corresponding to the u-th spatial layer of terminal device k.
  • the terminal device may use a demodulation reference signal (DMRS) sent by the network device to perform channel estimation to obtain equivalent channel coefficients
  • DMRS demodulation reference signal
  • THP precoding depends on the channel matrix
  • the QR decomposition of H H QR.
  • the Q matrix is a unitary matrix of N T ⁇ N T
  • the R matrix is the triangular matrix.
  • the dimension of the feedback matrix B used by the network device for serial interference cancellation in the nonlinear precoding stage should be L ⁇ L.
  • the solution to the above-mentioned problem of matrix dimension mismatch is to select L row vectors in the R matrix to form a new matrix
  • select L corresponding column vectors in the Q matrix to form a new matrix Matrix after row/column selection and Do THP precoding.
  • the embodiment of the present application provides a signal transmission method for MIMO transmission.
  • the signal transmission method according to the embodiment of the present application includes:
  • the network device Perform precoding on the first reference signal s 1 to obtain the first transmitted signal x 1 ;
  • first channel matrix is obtained according to the second channel matrix H, the first channel matrix The number of rows and/or columns is less than or equal to the sum of the number of receiving antennas of one or more terminal devices participating in MIMO transmission, and the second channel matrix H is a channel matrix of downlink channels of multiple terminal devices.
  • the terminal device participating in MIMO transmission may also be a terminal device participating in pairing, or a terminal device participating in multi-user MU-MIMO transmission.
  • the MIMO system includes n terminal devices, which are terminal device 1, terminal device 2, ..., and terminal device n respectively.
  • the sum of the total number of transport streams of n terminal devices is first channel matrix
  • the number of rows and columns is greater than or equal to L.
  • the second channel matrix H is a block matrix.
  • the second channel matrix H includes a channel matrix of downlink channels corresponding to each of the n terminal devices participating in the MIMO transmission.
  • second channel matrix The dimension of the second channel matrix H is or the second channel matrix The dimension of the second channel matrix H is
  • H k represents the channel coefficient between the ith receiving antenna of the terminal device k and the jth sending antenna pair of the network device.
  • the second channel matrix It includes multiple sub-matrices
  • the multiple sub-matrices include the second channel matrix H 1 of the downlink channel corresponding to the terminal device 1, the channel matrix H 2 of the downlink channel corresponding to the terminal device 2, ..., the channel of the downlink channel corresponding to the terminal device n matrix H n .
  • the first transmission signal x 1 may be a transmission signal vector corresponding to the first reference signal symbols corresponding to the n terminal devices after precoding.
  • the first reference signal corresponding to the terminal device k The first reference signal symbols corresponding to the L k ports are included. in, Indicates the first reference signal symbol corresponding to the lth port of the kth terminal device.
  • Each reference signal port corresponds to a spatial layer.
  • the first reference signals corresponding to different ports may be orthogonal signals.
  • the first reference signal symbols corresponding to different ports may be multiplexed by one or more of time division multiplexing, frequency division multiplexing and code division multiplexing.
  • the network device may send first transmit signals corresponding to multiple first reference signals, or in other words, may transmit first transmit signals corresponding to multiple first reference signal symbols. Multiple first reference signals may occupy different time-frequency resources. It can be understood that the n terminal devices are terminal devices participating in MIMO transmission.
  • the network device For the first reference signals corresponding to n terminal devices Perform precoding to obtain the first transmission signal corresponding to n terminal devices Indicates the first transmit signal corresponding to the lth transmit antenna.
  • the first reference signal corresponding to terminal device k is
  • the first reference signal may be a demodulation reference signal (DMRS).
  • DMRS demodulation reference signal
  • the network device sends the first sending signal x 1 ;
  • the first transmit signal x 1 is the transmit signal corresponding to the n terminal devices participating in the MIMO transmission; x 1 satisfies
  • Terminal device k receives a first received signal corresponding to terminal device k
  • the first received signal It may be that the first transmission signal x1 is sent to the terminal equipment k through the downlink channel corresponding to the terminal equipment k.
  • the first received signal received by n terminal devices participating in MIMO transmission can be jointly expressed as in, Satisfy where n k is additive noise, sum or interference.
  • the terminal device k receives the signal according to the first Determine the equivalent channel coefficient corresponding to the terminal device k.
  • the equivalent channel coefficient corresponding to the terminal device k can be used by the terminal device k to perform data detection on the data signal received via the downlink channel corresponding to the terminal device k.
  • the network device Precoding the first reference signal s1 , the first channel matrix is obtained according to the second channel matrix H, the first channel matrix
  • the number of rows and/or columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, thereby reducing the difficulty of matrix calculation in the process of THP precoding and making the calculation of THP precoding simpler .
  • the first channel matrix is obtained by processing the second channel matrix H by using a dimensionality reduction matrix.
  • the dimension reduction matrix includes a receiving weight matrix W and a weight value matrix V; or the dimension reducing matrix includes a receiving weight matrix W.
  • the weight matrix may be an outer weight matrix.
  • the precoding in this embodiment of the present application may be THP precoding, or may be other precoding technologies.
  • the precoding may be, but not limited to, symbol level precoding (SLP), vector perturbation (VP) precoding, zero-forcing (zero-forcing) precoding, and the like.
  • the second channel matrix first channel matrix The number of rows is less than or equal to the sum of the number of receive antennas of n terminal devices participating in MIMO transmission, or the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the second channel matrix first channel matrix The number of columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, or the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the signal transmission scheme in the scenario where the dimensionality reduction matrix includes the receiving weight matrix W and the outer layer weight matrix V, and the signal transmission scheme in the scenario where the dimensionality reduction matrix includes the receiving weight matrix W are described in detail below.
  • the signal transmission scheme in the scenario where the dimensionality reduction matrix includes the receiving weight matrix W and the weight matrix V.
  • the first channel matrix second channel matrix The number of rows of the receiving weight matrix W is less than or equal to the sum of the number of receiving antennas of the n terminal devices participating in the MIMO transmission. That is, the first channel matrix The number of rows is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission. Or the number of rows of the receiving weight matrix W and the number of columns of the weight matrix V are both less than or equal to the sum of the number of receiving antennas of the n terminal devices participating in the MIMO transmission, that is, the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the first channel matrix second channel matrix The number of columns of the weight matrix V is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, that is, the first channel matrix The number of columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the number of rows of the receiving weight matrix W and the number of columns of the weight matrix V are both less than or equal to the sum of the number of receiving antennas of the n terminal devices participating in the MIMO transmission, that is, the first channel matrix The number of rows and columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the dimension of the weight sub-matrix V k of the terminal device k is N T ⁇ L k .
  • the weight sub-matrix V k is determined by the network device according to the channel matrix H k of the downlink channel of the terminal device k.
  • n is the number of terminal devices participating in MIMO transmission.
  • the weight matrix is an outer weight matrix
  • the outer weight matrix may include an outer weight sub-matrix corresponding to each terminal device. In other words, the weight sub-matrix may be an outer weight sub-matrix.
  • the network equipment can perform singular value decomposition (SVD) on the channel matrix H k of the downlink channel of the terminal equipment k, that is, Among them, U k is the dimension The unitary matrix of , V k is a unitary matrix of dimension N T ⁇ N T , D k is a diagonal matrix, and its main diagonal elements are the singular values corresponding to H k .
  • SMD singular value decomposition
  • V k is a unitary matrix of dimension N T ⁇ N T
  • ⁇ k is a diagonal matrix
  • its main diagonal elements are the eigenvalues corresponding to H k .
  • a matrix composed of L k right eigenvectors corresponding to the largest L k eigenvalues in V k is used as a weight sub-matrix V k .
  • the kth sub-matrix corresponding to the main diagonal of the receiving weight matrix W is the receiving weight sub-matrix W k corresponding to the terminal device k .
  • the corresponding processing can be a linear processing method or a nonlinear processing method.
  • the dimension of W n is The reception matrix W is a block diagonal matrix, and the sub-matrix on the diagonal is the reception weight matrix corresponding to each terminal device in the terminal device 1 to the terminal device n.
  • the terminal device k may be understood as any one of the n terminal devices participating in the MIMO transmission.
  • W k (H k V k ) H .
  • W k [(H k V k ) H (H k V k )+ ⁇ 2 I] -1 (H k V k ) H .
  • I is the identity matrix.
  • ⁇ 2 is an adjustment factor, which is related to the transmitted signal power and/or noise power.
  • the calculation of the receiving weight matrix by the network device only depends on the channel matrix H k and the weight sub-matrix V k corresponding to each terminal device, and does not depend on the channel information of other users, and does not require joint detection or other user channel state information (channel state information). information, CSI) notification.
  • the terminal equipment at the receiving end can estimate the estimated receiving weight sub-matrix W k corresponding to the receiving weight sub-matrix W k corresponding to the terminal equipment in a simpler manner when detecting signals, thereby reducing the processing complexity of the terminal equipment.
  • the network device in the channel estimation stage, is based on the first channel matrix Linear precoding is performed on the reference signal to obtain the transmitted signal, and the transmitted signal is sent to the terminal equipment participating in the MIMO transmission, and the terminal equipment participating in the MIMO transmission receives the received signal transmitted through the downlink channel corresponding to the terminal equipment.
  • the estimated receiving weight sub-matrix W′ k performs channel estimation on the received signal, and obtains the equivalent channel parameters corresponding to the terminal equipment.
  • the network device In the transmission phase of the data signal, taking THP precoding as an example, the network device first uses the first channel matrix
  • the obtained feedback matrix B performs nonlinear precoding on the transmitted data signals corresponding to one or more terminal devices to eliminate interference to obtain a precoded transmitted data signal, and then performs linear precoding on the transmitted data symbols based on the weight matrix V to obtain The precoded transmission data signal c.
  • the receiving end receives the precoded transmission data signal c and transmits the corresponding received data signal through the downlink channel of the terminal device, and estimates the receiving weight sub-matrix W'k corresponding to the terminal device and the equivalent channel corresponding to the terminal device. parameter to detect the received data signal.
  • the first channel matrix The number of rows and/or columns is the sum L of the number of transport streams of multiple terminal devices.
  • the channel matrix first channel matrix The number of rows is the sum of the number of transport streams of multiple terminal devices L or the first channel matrix The number of rows and columns of is the sum L of the number of transport streams of multiple terminal devices.
  • the channel matrix first channel matrix The number of columns is the sum of the number of transport streams of multiple terminal devices L or the first channel matrix The number of rows and columns of is the sum L of the number of transport streams of multiple terminal devices.
  • the signal transmission method includes the following steps:
  • the network device precodes the first reference signal s 1 according to the matrix Q and the weight matrix V to obtain the first transmission signal x 1 ;
  • the Q matrix is the network device based on the first channel matrix obtained by QR decomposition,
  • the Q matrix is a unitary matrix.
  • the R matrix is an upper triangular matrix.
  • the number of rows and/or columns is less than or equal to the sum of the number of receive antennas of the n terminal devices participating in the MIMO transmission.
  • the first channel matrix The number of rows and columns of can be the sum L of the number of transport streams of multiple terminal devices, the dimension of Q is L ⁇ L, and the dimension of R is L ⁇ L.
  • the first channel matrix after dimensionality reduction in this way It is a square matrix, which avoids the problem of mismatching matrix dimensions when the number of transmission streams L is less than the total number of receiving antennas, and can flexibly adapt to various antenna configurations and transmission scenarios.
  • the first reference signal corresponding to the terminal device k Contains the first reference signal symbols corresponding to the L k ports, Indicates the first reference signal symbol corresponding to the lth port of the kth terminal device.
  • Each reference signal port corresponds to a spatial layer.
  • the first reference signals corresponding to different ports may be orthogonal signals.
  • the first reference signal symbols corresponding to different ports may be multiplexed by one or more of time division multiplexing, frequency division multiplexing and code division multiplexing.
  • the network device may transmit multiple first reference signals, or may transmit multiple first reference signal symbols. Multiple first reference signals may occupy different time-frequency resources.
  • the terminal device k is any one of the n terminal devices participating in the MIMO transmission. If the first reference signal corresponding to each terminal equipment is an orthogonal signal, the first transmission signal corresponding to terminal equipment k It can be expressed as: where P k represents the matrix VQ in The matrix formed by the corresponding column vectors has dimension N T ⁇ L k .
  • the first channel matrix The number of rows and columns can be the sum of the number of transport streams of multiple terminal devices, L
  • the G matrix is a diagonal matrix with dimension L ⁇ L
  • its main diagonal elements are the main diagonal elements of the R matrix.
  • reciprocal i.e.
  • the dimension of matrix B is L ⁇ L.
  • ⁇ is the power control factor.
  • the network device precodes the first reference signal s 1 corresponding to the n terminal devices participating in the MIMO transmission according to the matrix Q, the matrix B and the weight matrix V to obtain the first transmitted signal x 1 .
  • the first reference signal corresponding to the terminal device k Contains the first reference signal symbols corresponding to the L k ports, Indicates the first reference signal symbol corresponding to the lth port of the kth terminal device.
  • the first transmission signal corresponding to terminal equipment k It can be expressed as: where P k represents the matrix VQB -1 The matrix formed by the corresponding column vectors has dimension N T ⁇ L k .
  • the network device sends a first sending signal x 1 .
  • the terminal device k receives the first received signal corresponding to the terminal device k
  • the first received signal y 1 corresponds to the first transmitted signal x 1 .
  • n k is the additive white Gaussian noise sum or interference corresponding to terminal device k
  • the first received signal received by n terminal devices participating in MIMO transmission can be expressed as
  • the first received signal corresponding to the kth terminal device n k is additive white Gaussian noise and or interference.
  • the terminal equipment k determines the estimated receiving weight sub-matrix W' k corresponding to the receiving weight sub-matrix W k corresponding to the terminal equipment k ;
  • the terminal device k may determine the reception weight sub-matrix W k according to the second received signal corresponding to the second transmission signal sent by the network device; or, the terminal device k may also determine the reception weight sub-matrix W k in a manner agreed with the network device The corresponding estimated receive weight submatrix W' k .
  • the estimated receiving weight sub-matrix W' k can be understood as an estimated matrix of the receiving weight sub-matrix W k .
  • step 504 may be performed after step 503 or may be performed before step 503 .
  • Terminal equipment k estimates the first received signal corresponding to terminal equipment k according to the estimated receiving weight sub-matrix W' k The equivalent channel coefficient corresponding to the terminal equipment k is obtained.
  • the terminal device k can use the estimated receiving weight sub-matrix W′ k to left-multiply the first received signal Obtain the third received signal corresponding to the first received signal
  • Terminal device k receives the signal according to the third The first reference signal corresponding to terminal equipment k The equivalent channel coefficient corresponding to the terminal equipment k is obtained.
  • the third received signal corresponding to the terminal device k The corresponding third received signal of the corresponding terminal equipment 1-terminal equipment n:
  • n k and n' are additive white Gaussian noise.
  • the estimated receiving weight matrix W' can be understood as an estimated matrix of the receiving weight matrix W.
  • the estimated receiving weight matrix W' is a block diagonal matrix, and W' includes estimated receiving weight sub-matrices W' 1 , W' 2 corresponding to W 1 , W 2 , ..., W n included in the receiving weight matrix W, respectively, ..., W'n .
  • the network device uses the first channel matrix for precoding is obtained according to the receiving weight sub-matrix W k , and the terminal device multiplies the first received signal by left-multiplying the estimated receiving weight matrix W'k Received data received signal Determine the equivalent channel coefficients.
  • Both the network equipment and the terminal equipment operate and process according to the same receiver assumption to ensure the matching calculated by the sender and the receiver. The reporting or downlink notification of the detection weight matrix can be avoided.
  • the dimension of the receiving weight matrix W' is the same as that of the receiving weight matrix W. It is estimated that the values of the elements in the receiving weight matrix W' and the elements in the same position of the receiving weight matrix W may be the same or close.
  • R H is the lower triangular matrix
  • R matrix is the first channel matrix It is obtained by QR decomposition.
  • the elements located on the main diagonal in each row of RH correspond to the equivalent channel coefficients of a transport stream.
  • the equivalent channel coefficients can be used to detect data transmitted by the transport stream.
  • the terminal device k receives the third signal corresponding to the terminal device k through Perform channel estimation to obtain equivalent channel coefficients corresponding to one or more transport streams corresponding to terminal device k.
  • terminal equipment k can receive signals through the third receiving signal corresponding to terminal equipment k. Perform channel estimation.
  • the first reference signal corresponding to terminal device k The terminal equipment k and the network equipment at both ends of the transceiver are known, and the terminal equipment k can receive the signal according to the third In RH , the main diagonal elements on the m rows corresponding to the terminal device k are obtained, and the diagonal elements on the m rows are the equivalent channel coefficients corresponding to the m transport streams respectively.
  • the third received signal corresponding to terminal device k It can be expressed as in express A sub-matrix consisting of elements corresponding to the row and column corresponding to terminal device k.
  • the terminal device k can receive the signal through the third corresponding to the terminal device k Based on the first reference signal Perform channel estimation to get the estimation result where the l-th main diagonal element is the equivalent channel coefficient corresponding to the l-th data stream corresponding to the terminal device k.
  • the terminal device k can detect the data signal transmitted by each transport stream according to the equivalent channel coefficient corresponding to the transport stream.
  • the third received signal corresponding to the terminal device k The corresponding third received signal of the corresponding terminal equipment 1-terminal equipment n:
  • n and n' are additive white Gaussian noise.
  • the estimated receiving weight matrix W' can be understood as an estimated matrix of the receiving weight matrix W.
  • the estimated receiving weight matrix W' is a block diagonal matrix, and W' includes estimated receiving weight sub-matrices W' 1 , W' 2 corresponding to W 1 , W 2 , ..., W n included in the receiving weight matrix W, respectively, ..., W'n .
  • W′ W
  • the above formula can be expressed as When there is a channel estimation error,
  • the G matrix is related to the R matrix, and the R matrix is the network device according to the first channel matrix obtained by QR decomposition,
  • the G matrix is a diagonal matrix, and its main diagonal element is the reciprocal of the main diagonal element of the R matrix, that is,
  • the dimension of the receiving weight matrix W' is the same as that of the receiving weight matrix W. It is estimated that the values of the elements in the receiving weight matrix W' and the elements in the same position of the receiving weight matrix W may be the same or close.
  • G -1 is a diagonal matrix, and each element on the main diagonal of G -1 corresponds to an equivalent channel coefficient of a transport stream.
  • the equivalent channel coefficients can be used to detect data transmitted by the transport stream.
  • the terminal device k receives the third signal corresponding to the terminal device k through Perform channel estimation to obtain equivalent channel coefficients corresponding to one or more transport streams corresponding to terminal device k.
  • terminal equipment k can receive signals through the third receiving signal corresponding to terminal equipment k. Perform channel estimation.
  • first reference signal The terminal equipment k and the network equipment at both ends of the transceiver are known, and the terminal equipment k can receive the signal according to the third get There are m main diagonal elements, where the m diagonal elements are the equivalent channel coefficients corresponding to the m transport streams respectively.
  • the transport stream corresponding to the u-th spatial layer of terminal equipment k, the corresponding equivalent channel coefficient is is a matrix Elements located on the main diagonal in the row corresponding to the u-th spatial layer of terminal device k.
  • the terminal device k can detect the data signal transmitted by each transport stream according to the equivalent channel coefficient corresponding to the transport stream.
  • each of the n terminal devices participating in the MIMO transmission can obtain their corresponding equivalent channel coefficients for subsequent detection of the received data signal by each device.
  • the dimension of the channel matrix can be reduced, so that the first channel matrix The number of rows and/or columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the first channel matrix can be The number of rows and columns are the sum L of the total number of transmission streams of n terminal devices participating in MIMO transmission, so that the sum L of the total number of transmission streams of n terminal devices participating in MIMO transmission is less than the sum of the total number of transmission streams of multiple terminal devices.
  • the sum of the number of receiving antennas results in the mismatch of matrix dimensions.
  • the first channel matrix used by the network device for precoding is obtained according to the receiving weight sub-matrix W k , and the terminal device multiplies the first received signal by left-multiplying the estimated receiving weight matrix W'k Received data received signal Determine the equivalent channel coefficients.
  • Both the network equipment and the terminal equipment operate and process according to the same receiver assumption to ensure the matching calculated by the sender and receiver. The reporting or downlink notification of the detection weight matrix can be avoided.
  • the total number of transmission streams in n terminal devices participating in MIMO transmission Less than the total number of receiving antennas of multiple terminal devices , if you select L row vectors in the R matrix to form a new matrix Select L corresponding column vectors in the Q matrix to form a new matrix Matrix after row/column selection and When performing THP precoding, since the number of rows of the B matrix is smaller than the number of receiving antennas, when the B matrix is used for interference cancellation, the inter-user interference and inter-stream interference of the received signals of all antennas cannot be completely eliminated.
  • the signal detection is performed only based on the receiving antenna without inter-user interference and inter-stream interference, without detecting the signal of the receiving antenna with inter-user interference and inter-stream interference, this part of the antenna is not used, resulting in power loss;
  • the receiving antenna performs signal detection. Since some receiving antennas have inter-user interference and inter-stream interference, the interference of the received signals of these receiving antennas will be severe, resulting in serious performance leveling.
  • the total number of transmission streams of n terminal devices participating in MIMO transmission Less than the total number of receiving antennas of multiple terminal devices
  • the first channel matrix can be The number of rows is reduced to be consistent with the total number of transmission streams L of the n terminal devices participating in the MIMO transmission, so that the number of columns of the matrix RH can be L.
  • the feedback matrix B GR H , and the dimension of the feedback matrix B is also L ⁇ L.
  • the dimension of the channel matrix of the QR decomposition can be reduced, and the computational complexity of the QR decomposition can be reduced.
  • the channel matrix H of the downlink channels of the n terminal devices participating in the MIMO transmission is processed as a first channel matrix with a dimension of L ⁇ L After that, according to the first channel matrix whose dimension is L ⁇ L
  • the first channel matrix It is equivalent to a channel matrix of a virtual downlink channel with the number of receiving antennas L, and the number of receiving antennas of the channel matrix of the virtual downlink channel is The number of lines L.
  • the number of transmission streams L of the n terminal devices can be the same as the number of rows of the channel matrix of the virtual downlink channel, and the interference corresponding to each receiving antenna can be better eliminated in the process of interference cancellation, thereby avoiding the The power loss or residual interference caused by the mismatch between the number of streams and the number of antennas at the receiving end.
  • the following provides a solution for the terminal equipment to determine and estimate the received weight sub-matrix W' k .
  • the terminal equipment k can determine the estimated receiving weight sub-matrix W' k corresponding to the receiving weight sub-matrix W k corresponding to the terminal equipment according to the received second received signal; , the signal transmission method further includes the steps:
  • the network device sends a second sending signal x 2 ;
  • the second transmission signal x 2 is obtained by the network device precoding the second reference signal s 2 corresponding to the n terminal devices participating in the MIMO transmission according to the weight matrix V, ⁇ is the power factor.
  • s 2 includes second reference signals corresponding to n terminal devices. is the second reference signal corresponding to terminal device k. Indicates the second reference signal symbol corresponding to the lth port of the kth terminal device. Each second reference signal port corresponds to one spatial layer.
  • the second reference signals corresponding to different ports may be quadrature signals.
  • the second reference signal symbols corresponding to different ports may be multiplexed by one or more of time division multiplexing, frequency division multiplexing and code division multiplexing.
  • the network device may transmit multiple second transmit signals, or may transmit multiple second transmit signal symbols.
  • the multiple second transmission signals may occupy different time-frequency resources.
  • the second transmission signal x 2 corresponding to the n terminal devices includes the second reference signal symbols corresponding to the L k ports, Indicates the second reference signal symbol corresponding to the lth port of the terminal device k.
  • the second reference signals of different ports may be quadrature signals. If the different ports of the second reference signal s 2 are orthogonal, the second transmission signal corresponding to the terminal device k
  • the terminal device k receives the second received signal corresponding to the terminal device k the second received signal is the received signal received by the receiving end after the second transmitted signal x 2 passes through the downlink channel corresponding to the terminal device k.
  • y 2 Hx 2 +n. in
  • the different ports of the second reference signal s 2 are orthogonal, and the second received signal corresponding to the terminal device k can be expressed as in, is additive white Gaussian noise, and or interference.
  • the terminal device k can receive the second received signal according to the Determine the estimated receiving weight sub-matrix W' k corresponding to the receiving weight sub-matrix W k corresponding to the terminal device k .
  • Step 504 may include:
  • Terminal device k receives the signal according to the second Perform channel estimation to obtain the second channel estimation matrix corresponding to terminal equipment k
  • reference signal For the receiving end it can be known that the terminal equipment k at the receiving end can obtain an estimate of the equivalent channel, and the equivalent channel
  • the dimension of is N R ⁇ L k , is based on the second received signal and the second reference signal Estimated result of H k V k .
  • ⁇ 1 is the estimation error matrix corresponding to the channel estimation.
  • the terminal device k may use a least squares (Least Square, LS) channel estimation algorithm or a Minimum Mean Squared Error (Minimum Mean Squared Error, MMSE) channel estimation algorithm, etc. to perform channel estimation.
  • LS least squares
  • MMSE Minimum Mean Squared Error
  • the terminal device k estimates the matrix according to the second channel and receiver type, determine the estimated receiving weight sub-matrix W' k corresponding to the receiving weight sub-matrix W k .
  • the estimated receiving weight sub-matrix W′ k obtained by the terminal device k is an estimated value of the receiving weight sub-matrix W k corresponding to the terminal device k.
  • the receiving weight sub-matrix W k corresponding to the terminal equipment k is related to the channel matrix H k corresponding to the terminal equipment k and the corresponding weight matrix V k .
  • the receiver type is the receiver type sent by the terminal device k to the network device.
  • the network device determines the receiving weight sub-matrix W k corresponding to the terminal device k according to the receiver type sent by the terminal device k and the downlink channel H k corresponding to the terminal device k . In this way, the terminal device k can more accurately determine the estimated reception weight sub-matrix W' k corresponding to the reception weight sub-matrix W k according to the receiver type sent to the network device.
  • the terminal device k calculates the estimated receiving weight sub-matrix corresponding to the terminal device k according to the receiver type sent to the network device in, means based on deal with it accordingly.
  • the corresponding processing can be a linear processing method or a nonlinear processing method.
  • W k [(H k V k ) H (H k V k )+ ⁇ 2 I] -1 (H k V k ) H .
  • I is the identity matrix.
  • ⁇ 2 is an adjustment factor, which is related to the transmitted signal power and/or noise power.
  • the terminal device k according to the receiver type and the second received signal corresponding to the second reference signal Determine the estimated receiving weight sub-matrix W' k corresponding to the terminal equipment k .
  • another reference signal (second reference signal) is also sent. This scheme of implicitly indicating the receiving weight sub-matrix through the second reference signal can avoid the signaling notification of the receiving weight matrix, reduce the downlink signaling overhead, and avoid the quantization during notification. performance loss.
  • the first reference signal and the second reference signal may be demodulation reference signals (DMRS).
  • DMRS demodulation reference signals
  • the DMRS resource 1 corresponding to the first reference signal and the DMRS resource 2 corresponding to the second reference signal may occupy different time and frequency resources.
  • the horizontal axis represents OFDM symbols
  • the vertical axis represents frequency domain subcarriers.
  • Each cell represents a resource particle.
  • DMRS resource 1 and DMRS resource 2 may be arranged in a time division manner. Among them, DMRS resource 1 occupies 12 subcarriers of the third OFDM symbol in a resource block (resource block, RB), and DMRS resource 2 occupies 12 subcarriers of the ninth OFDM symbol in one RB.
  • the DMRS resource 1 and the DMRS resource 2 are not limited to be arranged according to the example in FIG. 5C , nor are they limited to be arranged in a time-division manner.
  • DMRS resource 1 and DMRS resource 2 may have different time-frequency resource mapping methods.
  • the first reference signal and the second reference signal may also be other types of reference signals.
  • it can be a channel state information-reference signal (channel state information reference signal, CSI-RS), a cell reference signal (cell information reference signal, CRS), a phase tracking reference signal (phase tracking reference signal, PTRS) and the like.
  • the first reference signal and the second reference signal may be different types of reference signals.
  • the first reference signal is a DMRS
  • the second reference signal may be a CSI-RS.
  • the terminal device k may also determine the estimated reception weight sub-matrix W′ k corresponding to the reception weight sub-matrix W k corresponding to the terminal device according to a manner agreed with the network device.
  • the transmission method of the data signal includes:
  • the network device Precoding the transmission data signal s to obtain the precoded transmission data signal c;
  • the transmitted data signal s may also be understood as a transmitted symbol vector corresponding to n terminal devices participating in MIMO transmission, or a multi-user transmitted symbol vector.
  • sk can be expressed as sk is a transmitted symbol vector corresponding to terminal equipment k, or sk is a transmitted data signal corresponding to terminal equipment k.
  • s k,l (l ⁇ [1,L k ]) represents the data symbol sent by the lth transport stream corresponding to terminal device k.
  • the network device is based on the first channel matrix THP precoding is performed on the transmission data signal to obtain a precoded transmission data signal c.
  • the THP precoding includes a process of nonlinear precoding and a process of linear precoding.
  • the network device performs a stream-by-stream serial interference cancellation operation based on the feedback matrix B.
  • B GR H .
  • the R matrix is passed to the first channel matrix QR decomposition of the conjugate transposed matrix of , we get:
  • the first channel matrix The dimension of is L ⁇ L;
  • the G matrix is a diagonal matrix of dimension L ⁇ L, and its main diagonal element is the reciprocal of the main diagonal element of the R matrix, that is,
  • matrix B is a lower triangular matrix with elements on the main diagonal of 1.
  • the matrix Q is a unitary matrix of dimension L ⁇ L.
  • n terminal devices participate in MIMO transmission, and each terminal device corresponds to a transmitted symbol vector where L k represents the number of transport streams sent by terminal device k.
  • sk,l (l ⁇ [1, Lk ]) denotes the symbol sent by the lth transport stream of terminal device k.
  • a modulo operation is also performed after the interference cancellation operation.
  • the transmitted symbols output by the nonlinear precoding step B i,l represents the element corresponding to the i-th row and the l-th column of the B matrix.
  • Mod ⁇ ⁇ x ⁇ represents the modulo operation, for a given modulo operation parameter ⁇ , d k represents the rounded part obtained by the modulo operation.
  • the network device precodes the transmitted symbol vector x according to the matrix Q and the weight matrix V, and obtains the transmitted data signal c corresponding to the n terminal devices participating in the MIMO transmission. Specifically, sending a data signal where ⁇ is the power normalization factor.
  • the process that the network device performs precoding according to the matrix Q and the weight matrix V can be understood as a process of linear processing.
  • the network device sends the precoded sending data signal c;
  • the terminal device k receives the first received data signal
  • the first received data signal is the received data signal corresponding to the terminal device k among the n terminal devices.
  • the terminal device k detects the first received data signal according to the equivalent channel coefficient corresponding to the terminal device k and the receiving weight sub-matrix W' k
  • the terminal equipment k uses the receiving weight sub-matrix W' k corresponding to the terminal equipment k, and the left multiplication of the received data signal is get the second received data signal
  • the matrix G -1 is a diagonal matrix, and the main diagonal element corresponding to the ith row and the ith column of the matrix G is the reciprocal of the main diagonal element corresponding to the ith row and the ith column of the RH matrix or R matrix.
  • r kk represents the element corresponding to the k-th row and the k-th column of the R H matrix
  • m main diagonal elements corresponding to terminal equipment k are equivalent channel coefficients corresponding to m transport streams of terminal equipment k.
  • the terminal device may use the equivalent channel coefficient obtained in the above step 505 to detect the received data signal to obtain an estimation result of the transmitted data signal.
  • the terminal device may use the equivalent channel coefficient obtained in the above step 505 to equalize the received data signal, and then perform a modulo operation to obtain an estimate of the transmitted data signal.
  • the dimensionality reduction matrix includes the receiving weight matrix W.
  • the first channel matrix second channel matrix the number of rows of the receiving weight matrix W is less than or equal to the sum of the number of receiving antennas of the n terminal devices participating in the MIMO transmission, that is, the first channel matrix The number of rows is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the first channel matrix second channel matrix the number of columns of the receiving weight matrix W is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, that is, a channel matrix The number of columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the receiving weight sub-matrix W k corresponding to the terminal equipment k is determined by the network equipment according to the receiver type of the terminal equipment k.
  • the signal transmission method includes the following steps:
  • the network device precodes the first reference signal s 1 according to the matrix Q to obtain the first transmitted signal x 1 ;
  • the Q matrix is the network device based on the first channel matrix obtained by QR decomposition,
  • the Q matrix is a unitary matrix.
  • the R matrix is an upper triangular matrix.
  • the number of rows and/or columns is less than or equal to the sum of the number of receive antennas of the n terminal devices participating in the MIMO transmission.
  • the first channel matrix The number of lines of can be the sum L of the number of transport streams of multiple terminal devices, the dimension of R is L ⁇ L, and the dimension of Q is N T ⁇ L.
  • the reduced dimension matrix R is a square matrix, which avoids the problem of mismatching matrix dimensions when the number of transmission streams L is less than the total number of receiving antennas, and can flexibly adapt to various antenna configurations and transmission scenarios.
  • ⁇ is the power control factor.
  • the network device precodes the first reference signals s 1 corresponding to the n terminal devices participating in the MIMO transmission according to the matrix Q, and obtains the first transmission signal x 1 corresponding to the n terminal devices.
  • the first reference signal corresponding to the terminal device k Contains the first reference signal symbols corresponding to the L k ports, Indicates the first reference signal symbol corresponding to the lth port of the kth terminal device.
  • the first reference signals of different ports may be quadrature signals.
  • the terminal device k is any one of the n terminal devices participating in the MIMO transmission.
  • the G matrix is a diagonal matrix with dimension L ⁇ L
  • its main diagonal elements are the reciprocals of the main diagonal elements of the R matrix, that is,
  • the dimension of matrix B is L ⁇ L.
  • ⁇ is the power control factor.
  • the network device precodes the first reference signals s 1 corresponding to the n terminal devices participating in the MIMO transmission according to the matrix Q and the matrix B, and obtains the first transmission signal x 1 corresponding to the n terminal devices.
  • the first reference signal corresponding to the terminal device k Contains the first reference signal symbols corresponding to the L k ports, Indicates the first reference signal symbol corresponding to the lth port of the kth terminal device.
  • the first reference signals of different ports may be quadrature signals.
  • the terminal device k is any one of the n terminal devices participating in the MIMO transmission.
  • the network device sends a first sending signal x 1 .
  • the terminal device k receives the first received signal
  • the first received signal y 1 corresponds to the first transmitted signal x 1 .
  • the R matrix and the Q matrix are the network equipment to the first channel matrix obtained by QR decomposition, For convenience, define Then the first received signal corresponding to the kth terminal device n k is additive white Gaussian noise, sum or interference.
  • the R matrix and the Q matrix are the network equipment to the first channel matrix obtained by QR decomposition, For convenience, define Then the first received signal corresponding to the kth terminal device n k is additive white Gaussian noise and or interference.
  • the terminal equipment k determines the estimated receiving weight sub-matrix W' k corresponding to the receiving weight sub-matrix W k corresponding to the terminal equipment k ;
  • the terminal device k can also determine the receiving weight sub-matrix W k according to the second received signal corresponding to the second sending signal sent by the network device; or, the terminal device k can determine the receiving weight sub-matrix W k in a manner agreed with the network device The corresponding estimated receive weight submatrix W' k .
  • the estimated receiving weight sub-matrix W' k can be understood as an estimated matrix of the receiving weight sub-matrix W k .
  • step 704 may be performed after step 703 or may be performed before step 703 .
  • the terminal device k estimates the first received signal corresponding to the terminal device k according to the received weight sub-matrix W' k
  • the equivalent channel coefficient corresponding to the terminal equipment k is obtained.
  • the terminal device k can use the estimated receiving weight sub-matrix W′ k to left-multiply the first received signal Obtain the third received signal corresponding to the first received signal
  • Terminal device k receives the signal according to the third The first reference signal corresponding to terminal equipment k The equivalent channel coefficient corresponding to the terminal equipment k is obtained.
  • the third received signal corresponding to the terminal device k The corresponding third received signals of terminal equipment 1-terminal equipment n:
  • the network equipment and terminal equipment k on both sides of the transceiver are known, so the equivalent channel matrix can be obtained 's estimate.
  • the third received signal corresponding to terminal device k It can be expressed as
  • the terminal device k can receive the signal through the third corresponding to the terminal device k Based on the first reference signal Perform channel estimation to get the estimation result where the l-th main diagonal element is the equivalent channel coefficient corresponding to the l-th data stream corresponding to the terminal device k.
  • the network device uses the first channel matrix for precoding is obtained according to the receiving weight sub-matrix W k , and the terminal device multiplies the first received signal by left-multiplying the estimated receiving weight matrix W' Received data received signal Determine the equivalent channel coefficients.
  • Both the network equipment and the terminal equipment operate and process according to the same receiver assumption to ensure the matching calculated by the sender and the receiver. The reporting or downlink notification of the detection weight matrix can be avoided.
  • the dimension of the receiving weight matrix W' is the same as that of the receiving weight matrix W. It is estimated that the values of the elements in the receiving weight matrix W' and the elements in the same position of the receiving weight matrix W may be the same or close.
  • RH or is the lower triangular matrix, and the R matrix is the first channel matrix It is obtained by QR decomposition.
  • the elements on the main diagonal in each row correspond to the equivalent channel coefficients of a transport stream.
  • the equivalent channel coefficients can be used to detect data transmitted by the transport stream.
  • the third received signal corresponding to the terminal device k The corresponding third received signals of terminal equipment 1-terminal equipment n:
  • the estimated receiving weight matrix W' can be understood as an estimated matrix of the receiving weight matrix W.
  • the estimated receiving weight matrix W' is a block diagonal matrix, and W' includes estimated receiving weight sub-matrices W' 1 , W' 2 corresponding to W 1 , W 2 , ..., W n included in the receiving weight matrix W, respectively, ..., W'n .
  • the G matrix is related to the R matrix, and the R matrix is the network device according to the first channel matrix obtained by QR decomposition,
  • the G matrix is a diagonal matrix, and its main diagonal element is the reciprocal of the main diagonal element of the R matrix, that is,
  • the data receiving signal corresponding to the terminal equipment k or in is the submatrix corresponding to the kth terminal device in matrix G -1 ,
  • the network device uses the first channel matrix for precoding is obtained according to the receiving weight sub-matrix W k , and the terminal device multiplies the first received signal by left-multiplying the estimated receiving weight matrix W'k Received data received signal Determine the equivalent channel coefficients.
  • Both the network equipment and the terminal equipment operate and process according to the same receiver assumption to ensure the matching calculated by the sender and the receiver. The reporting or downlink notification of the detection weight matrix can be avoided.
  • the dimension of the receiving weight matrix W' is the same as that of the receiving weight matrix W. It is estimated that the values of the elements in the receiving weight matrix W' and the elements in the same position of the receiving weight matrix W may be the same or close.
  • G -1 is a diagonal matrix, and each element on the main diagonal of G -1 corresponds to an equivalent channel coefficient of a transport stream.
  • the equivalent channel coefficients can be used to detect data transmitted by the transport stream.
  • the dimension of the channel matrix can be reduced, so that the first channel matrix The number of rows and/or columns is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission.
  • the first channel matrix can be The number of rows is the sum L of the total number of transmission streams of n terminal devices participating in MIMO transmission, and the solution is that the sum of the total number of transmission streams L of n terminal devices participating in MIMO transmission is less than the sum of the total number of receiving antennas of multiple terminal devices and, resulting in a mismatch of matrix dimensions.
  • the following provides a solution for the terminal equipment to determine and estimate the received weight sub-matrix W' k .
  • the terminal device k may determine the estimated reception weight sub-matrix W'k corresponding to the reception weight sub-matrix Wk corresponding to the terminal device according to the received second received signal; before step 704, the signal transmission method further includes the steps:
  • the network device sends a second sending signal x 2 .
  • the second transmission signal may be understood as the second reference signal corresponding to the n terminal devices, ⁇ is the power factor, and the value of ⁇ can be 1.
  • s 2 includes second reference signals corresponding to n terminal devices. is the second reference signal corresponding to terminal device k.
  • the second transmission signal corresponding to the terminal device k For the explanation of x 2 , reference may be made to the relevant description in the signal transmission scheme in the scenario where the dimensionality reduction matrix includes the receiving weight matrix W and the weight matrix V, and the description will not be repeated here.
  • the terminal device k receives the second received signal corresponding to the terminal device k the second received signal is the received signal received by the receiving end after the second transmitted signal x 2 passes through the downlink channel corresponding to the terminal device k.
  • y 2 Hx 2 +n. If the different ports of the second reference signal s 2 are orthogonal, the second received signal corresponding to the terminal device k can be expressed as in, is additive white Gaussian noise, and or interference.
  • the terminal device k can receive the second received signal according to the Determine the estimated receiving weight sub-matrix W' k corresponding to the receiving weight sub-matrix W k corresponding to the terminal device k .
  • Step 704 may include:
  • Terminal device k receives the signal according to the second Perform channel estimation to obtain the second channel estimation matrix corresponding to terminal equipment k
  • the terminal equipment k at the receiving end can obtain the estimation of the equivalent channel
  • ⁇ 1 is the estimation error matrix corresponding to the channel estimation.
  • the terminal device k may perform channel estimation using the LS channel estimation algorithm or the MMSE channel estimation algorithm, or the like.
  • the terminal device k estimates the matrix according to the second channel and receiver type, determine the estimated receiving weight sub-matrix W' k corresponding to the receiving weight sub-matrix W k .
  • step 7042 For the specific implementation scheme of step 7042, please refer to the relevant description of step 5042 in the foregoing embodiment, and the description will not be repeated here.
  • the first reference signal and the second reference signal may be demodulation reference signals (DMRS).
  • DMRS demodulation reference signals
  • the DMRS resource 1 corresponding to the first reference signal and the DMRS resource 2 corresponding to the second reference signal may occupy different time and frequency resources.
  • the terminal device k may also determine the estimated reception weight sub-matrix W′ k corresponding to the reception weight sub-matrix W k corresponding to the terminal device according to a manner agreed with the network device.
  • the transmission scheme of the data signal in the scenario where the dimensionality reduction matrix includes the receiving weight matrix W.
  • the transmission method of the data signal includes:
  • the network device is based on the first channel matrix Precoding the transmission data signal s to obtain the precoded transmission data signal c;
  • the transmitted data signal s may also be understood as a transmitted symbol vector corresponding to n terminal devices participating in MIMO transmission, or a multi-user transmitted symbol vector. is the transmitted symbol vector corresponding to terminal device k.
  • sk is a transmitted symbol vector corresponding to terminal equipment k, or sk is a transmitted data signal corresponding to terminal equipment k.
  • s k,l (l ⁇ [1,L k ]) represents the data symbol sent by the lth transport stream corresponding to terminal device k.
  • the network device is based on the first channel matrix THP precoding is performed on the transmission data signal to obtain a precoded transmission data signal c.
  • the THP precoding includes a process of nonlinear precoding and a process of linear precoding.
  • the network device precodes the transmitted symbol vector according to the matrix Q to obtain the transmitted data signal c corresponding to the n terminal devices. Specifically, sending a data signal where ⁇ is the power normalization factor.
  • the process that the network device performs precoding according to the matrix Q can be understood as a process of linear processing.
  • the network device sends the precoded sending data signal c;
  • Terminal device k receives the first received data signal
  • the first received data signal is the received data signal corresponding to the terminal device k.
  • the terminal device k detects the first received data signal according to the equivalent channel coefficient corresponding to the terminal device k and the receiving weight sub-matrix W' k
  • the terminal equipment k uses the receiving weight sub-matrix W' k corresponding to the terminal equipment k, and the left multiplication of the received data signal is get the second received data signal
  • n the corresponding additive noise and or interference.
  • the matrix G -1 is a diagonal matrix, and the main diagonal element corresponding to the i-th row and the i-th column is the reciprocal of the main diagonal element corresponding to the i-th row and the i-th column of the RH matrix.
  • the second received data signal corresponding to terminal device k can be expressed as Represents the symbol vector sent after modulo operation corresponding to terminal device k.
  • m main diagonal elements corresponding to terminal equipment k are equivalent channel coefficients corresponding to m transport streams of terminal equipment k.
  • the terminal device may use the equivalent channel coefficient obtained in the above step 705 to detect the received data signal to obtain an estimation result of the transmitted data signal.
  • an equivalent channel matrix RH is obtained based on the first received signal, wherein the elements located on the main diagonal in each row of RH correspond to the equivalent channel coefficients of one transmission stream.
  • the u-th spatial layer of terminal equipment k, the equivalent channel coefficient obtained based on the first received signal is
  • the sum-modulo operation can estimate the data signal corresponding to the u-th spatial layer of the terminal device k. Based on the above The implementation method of , obtains the equivalent channel matrix based on the first received signal based on equivalent channel matrix The sum-modulo operation can estimate the corresponding data signal sent by the terminal device k.
  • the signal transmission device 800 includes a receiving unit 801 and a processing unit 802; the signal transmission device may be, for example, a terminal device, or the The signal transmission apparatus is deployed in the terminal equipment; the receiving unit 801 is used for receiving the first received signal; the first received signal is sent to the terminal equipment through the downlink channel corresponding to the terminal equipment after precoding the first reference signal according to the first channel matrix
  • the first channel matrix is obtained according to the second channel matrix.
  • the number of rows and/or columns of the first channel matrix is less than or equal to the sum of the number of receiving antennas of one or more terminal devices participating in MIMO transmission.
  • the channel matrix is a channel matrix of downlink channels corresponding to one or more terminal devices; the processing unit 802 is configured to obtain equivalent channel coefficients corresponding to the terminal devices according to the first received signal.
  • the first received signal is sent to the terminal device through the downlink channel corresponding to the terminal device after precoding the first reference signal according to the first channel matrix, and the first channel matrix is based on the second channel matrix.
  • the number of rows and/or columns of the first channel matrix obtained from the matrix is less than or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, so that the difficulty of matrix calculation can be reduced in the process of THP precoding, It makes the calculation of THP precoding simpler.
  • the first channel matrix W is the reception weight matrix
  • V is the weight matrix
  • H is the second channel matrix.
  • the number of rows of the reception weight matrix and/or the number of columns of the weight matrix is less than or equal to the reception of one or more terminal devices participating in MIMO transmission. Sum of the number of antennas.
  • the number of rows of the receiving weight matrix is the sum of the numbers of transport streams of one or more terminal devices, and/or the number of columns of the weight matrix is the sum of the numbers of transport streams of multiple terminal devices.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to the terminal device; the receiving unit 801 is further configured to receive the second received signal;
  • the processing unit 802 is also used to:
  • obtaining the equivalent channel coefficient corresponding to the terminal device includes:
  • Equivalent channel coefficients corresponding to the terminal equipment are obtained according to the estimated receiving weight sub-matrix and the first received signal.
  • the weight matrix includes a weight sub-matrix corresponding to the terminal device, and the second received signal is sent to the terminal device through a downlink channel corresponding to the terminal device after the network device precodes the second reference signal according to the weight sub-matrix. of.
  • the first channel matrix W is the receiving weight matrix, and the number of rows in the receiving weight matrix is less than the sum of the number of receiving antennas of one or more terminal devices participating in the MIMO transmission.
  • the number of rows of the receiving weight matrix is the sum of the numbers of transport streams of multiple terminal devices.
  • the receiving weight matrix includes a receiving weight sub-matrix corresponding to the terminal device; the receiving unit 801 is further configured to receive the second received signal;
  • the processing unit 802 is also used to:
  • obtaining the equivalent channel coefficient corresponding to the terminal device includes:
  • Equivalent channel coefficients corresponding to the terminal equipment are obtained according to the estimated receiving weight sub-matrix and the first received signal.
  • the receiving unit 801 is further configured to receive a first received data signal, where the first received data signal is sent by the network device through the downlink channel corresponding to the terminal device after precoding the transmitted data signal according to the first channel matrix.
  • the processing unit 802 is further configured to detect the first received data signal according to the estimated receiving weight sub-matrix and the equivalent channel coefficient corresponding to the terminal equipment.
  • processing unit 802 is specifically configured to:
  • the first received data signal is left-multiplied by the estimated receiving weight sub-matrix to obtain the second received data signal corresponding to the first received data signal;
  • the estimation result of the transmitted data signal is obtained.
  • the signal transmission apparatus 800 further includes a sending unit configured to send the receiver type of the terminal device, and the receiver type of the terminal device is used for the network device to determine the receiving right matrix.
  • An embodiment of the present application further provides a signal transmission device for MIMO transmission.
  • the signal transmission device 900 includes a processing unit 901 and a sending unit 902; the signal transmission The apparatus 900 may be, for example, network equipment, or the signal transmission apparatus may be deployed in the network equipment; wherein, the processing unit 901 is configured to precode the first reference signal according to the first channel matrix to obtain the first transmitted signal, and the first channel matrix is Obtained according to the second channel matrix, the number of rows and/or columns of the first channel matrix is less than or equal to the sum of the number of receiving antennas of one or more terminal devices participating in MIMO transmission, and the second channel matrix is one or more The channel matrix of the downlink channel of the terminal device; the sending unit 902 is configured to send the first sending signal.
  • the signal transmission device precodes the first reference signal according to the first channel matrix, the first channel matrix is obtained according to the second channel matrix, and the number of rows and/or columns of the first channel matrix is less than Or equal to the sum of the number of receiving antennas of n terminal devices participating in MIMO transmission, so that the difficulty of matrix calculation can be reduced in the process of THP precoding, and the calculation of THP precoding can be made simpler.
  • the first channel matrix W is a receiving weight matrix
  • V is a weight matrix
  • the number of rows of the receiving weight matrix and/or the number of columns of the weight matrix is less than or equal to the sum of the number of receiving antennas of one or more terminal devices.
  • the number of rows of the receiving weight matrix is the sum of the number of transport streams of one or more terminal devices, and/or the number of columns of the weight matrix is the number of transport streams of one or more terminal devices.
  • the weight matrix includes a weight sub-matrix corresponding to each terminal device in one or more terminal devices, and the weight sub-matrix corresponding to each terminal device is determined according to the channel matrix of the downlink channel corresponding to the terminal device. of.
  • the sending unit 902 is further configured to send a second sending signal, and each terminal device in the one or more terminal devices of the second sending signal determines the estimated reception value corresponding to its corresponding reception weight sub-matrix weight matrix.
  • the second transmission signal is obtained by precoding the second reference signal by the network device according to the weight sub-matrix.
  • the first channel matrix W is the receiving weight matrix, and the number of rows in the receiving weight matrix is less than or equal to the sum of the number of receiving antennas of one or more terminal devices.
  • the received weight matrix includes a receiving weight sub-matrix corresponding to each terminal device in the plurality of terminal devices, and the receiving weight sub-matrix corresponding to each terminal device is determined by the network device according to the receiver type of the terminal device.
  • the processing unit 901 is further configured to precode the transmission data signal according to the first channel matrix to obtain the precoded transmission data signal; the transmission unit is further configured to send the precoded transmission data signal.
  • 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 is run, the computer executes any of the above method embodiments that can be executed by a network device. steps or perform steps that can be performed by a terminal device in any of the foregoing method embodiments.
  • the present application provides a computer-readable storage medium, where the computer-readable medium stores a computer program (also referred to as code, or instruction) when it runs on a computer, so that the computer can execute any of the above method embodiments and can be accessed by a network
  • a computer program also referred to as code, or instruction
  • the size of the sequence numbers of the above-mentioned processes does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not be dealt with in the embodiments of the present application. implementation constitutes any limitation.
  • 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, and may be in 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 contributes to the prior art or the part of the technical solution.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) 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 (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program codes .
  • the modules in the apparatus of the embodiment of the present application may be combined, divided and deleted according to actual needs.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Radio Transmission System (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente demande concerne un procédé de transmission de signaux et un appareil associé. Le procédé de transmission de signaux comprend les étapes suivantes : un dispositif terminal reçoit un premier signal reçu ; le premier signal reçu est pré-codé par un premier signal de référence en fonction d'une première matrice de canal, puis envoyé au dispositif terminal au moyen d'un canal de liaison descendante correspondant au dispositif terminal, la première matrice de canaux étant obtenue selon une seconde matrice de canaux, le nombre de rangées et/ou le nombre de colonnes de la première matrice de canaux étant inférieur ou égal à la somme du nombre d'antennes de réception d'un ou de plusieurs dispositifs terminaux participant à une transmission à entrées multiples et à sorties multiples (MIMO), la seconde matrice de canaux étant la matrice de canaux du canal de liaison descendante correspondant à un ou plusieurs dispositifs terminaux ; en fonction du premier signal reçu, le dispositif terminal obtient un coefficient de canal équivalent correspondant au dispositif terminal.
PCT/CN2020/119757 2020-09-30 2020-09-30 Procédé de transmission de signaux et appareil associé WO2022067824A1 (fr)

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PCT/CN2020/119757 WO2022067824A1 (fr) 2020-09-30 2020-09-30 Procédé de transmission de signaux et appareil associé
CN202080105611.6A CN116235415A (zh) 2020-09-30 2020-09-30 信号传输方法及相关装置

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101621357A (zh) * 2008-07-01 2010-01-06 上海贝尔阿尔卡特股份有限公司 Mimo通信系统及其方法
CN103312389A (zh) * 2012-03-06 2013-09-18 华为技术有限公司 一种多用户干扰抑制方法、终端及基站
US20130315328A1 (en) * 2011-01-30 2013-11-28 Huawei Technologies Co., Ltd. Precoding processing method, base station, and communications system
CN107733478A (zh) * 2016-08-09 2018-02-23 中国电信股份有限公司 信道反馈和预编码方法、基站、用户终端和系统
CN111342873A (zh) * 2018-12-18 2020-06-26 华为技术有限公司 一种信道测量方法和通信装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101621357A (zh) * 2008-07-01 2010-01-06 上海贝尔阿尔卡特股份有限公司 Mimo通信系统及其方法
US20130315328A1 (en) * 2011-01-30 2013-11-28 Huawei Technologies Co., Ltd. Precoding processing method, base station, and communications system
CN103312389A (zh) * 2012-03-06 2013-09-18 华为技术有限公司 一种多用户干扰抑制方法、终端及基站
CN107733478A (zh) * 2016-08-09 2018-02-23 中国电信股份有限公司 信道反馈和预编码方法、基站、用户终端和系统
CN111342873A (zh) * 2018-12-18 2020-06-26 华为技术有限公司 一种信道测量方法和通信装置

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