WO2021083157A1 - Procédé de traitement de matrice de précodage et appareil de communication - Google Patents

Procédé de traitement de matrice de précodage et appareil de communication Download PDF

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Publication number
WO2021083157A1
WO2021083157A1 PCT/CN2020/124105 CN2020124105W WO2021083157A1 WO 2021083157 A1 WO2021083157 A1 WO 2021083157A1 CN 2020124105 W CN2020124105 W CN 2020124105W WO 2021083157 A1 WO2021083157 A1 WO 2021083157A1
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Prior art keywords
port
coefficients
terminal device
gain adjustment
codebook
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PCT/CN2020/124105
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English (en)
Chinese (zh)
Inventor
陈雷
熊鑫
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华为技术有限公司
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Publication of WO2021083157A1 publication Critical patent/WO2021083157A1/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
    • 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, and more specifically, to a processing method and communication device of a precoding matrix.
  • Massive MIMO massive multiple-input multiple output
  • network equipment can reduce the interference between multiple terminal devices and the interference between multiple signal streams of the same terminal device through precoding technology . Thereby improving signal quality, realizing space division multiplexing, and improving spectrum utilization.
  • the terminal device may determine a precoding matrix adapted to the downlink channel by means of channel measurement, for example, and hopes that through feedback, the network device obtains a precoding matrix that is the same or similar to the precoding vector determined by the terminal device.
  • the terminal device usually compresses the determined precoding matrix, and feeds back the precoding matrix by feeding back codebook coefficients.
  • the codebook coefficient can be understood as the weight of each port in the precoding matrix.
  • the feedback accuracy of the channel may suffer a certain loss.
  • the loss of feedback accuracy may cause the network equipment to determine the precoding matrix not accurately enough, and cannot adapt well to the downlink channel. Therefore, the transmission performance of the system is affected.
  • the present application provides a processing method and a communication device for a precoding matrix, in order to improve the feedback accuracy, thereby improving the transmission performance of the system.
  • a precoding matrix processing method is provided.
  • the method may be executed by, for example, a terminal device, or may also be executed by a component (such as a chip or a chip system, etc.) configured in the terminal device. This application does not limit this.
  • the method includes: determining the codebook coefficients of the precoding matrix; grouping ports corresponding to the precoding matrix to obtain multiple port groups; performing gain adjustment on the codebook coefficients corresponding to the multiple port groups; adjusting the gain
  • the latter codebook coefficients are quantized.
  • the terminal device can perform gain adjustment on the codebook coefficients before quantizing the codebook coefficients of the precoding matrix, so that the codebook coefficients of some ports can be amplified when the energy distribution of the ports differs greatly. , And/or, reduce the codebook coefficients of another part of the ports to reduce the energy distribution difference between the ports, so as to avoid the loss of codebook feedback accuracy of some ports caused by the loss of the codebook coefficients of some ports in the quantization process.
  • the codebook coefficients corresponding to different port groups are adjusted by different gain adjustment coefficients by grouping ports, which is convenient for terminal equipment and network equipment to determine the corresponding relationship between each port and gain adjustment coefficient, which is conducive to the accuracy of network equipment.
  • the method for processing the precoding matrix provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improve the transmission performance of the system.
  • the method further includes: sending second information to the network device, where the second information is used to indicate the quantized codebook coefficients for use in constructing a precoding matrix; wherein , The quantized codebook coefficients are obtained by quantizing the codebook coefficients after gain adjustment.
  • the quantized codebook coefficients are obtained by quantizing the codebook coefficients after gain adjustment.
  • the terminal device may send the quantized codebook coefficients to the network device through the second information, so that the network device can determine the precoding matrix according to the second information.
  • the grouping of ports corresponding to the precoding matrix to obtain multiple port groups includes: receiving first information from a network device, where the first information is used to indicate One or more of the following: the number of port groups, the number of ports contained in each port group in the multiple port groups, and the ports contained in each port group in the multiple port groups; based on the first information, the preset Group the ports corresponding to the coding matrix to obtain multiple port groups.
  • the network device may send the port group configuration to the terminal device through signaling in advance.
  • the terminal device may group the ports corresponding to the precoding matrix according to the first information sent by the network device, or may further combine with predefined rules, etc., to obtain multiple port groups.
  • the method further includes: reporting the ports included in each port group of the multiple port groups to the network device.
  • the terminal device can group ports by itself, for example, according to the number of port groups predefined by the protocol and/or the number of ports included in each port group, and predefined rules, etc., to obtain multiple port groups.
  • the terminal device may further report the ports included in each group to the network device, so that the network device can subsequently determine the precoding matrix.
  • the multiple codebook coefficients corresponding to the multiple ports to perform gain adjustment includes: receiving one or more gain adjustment coefficients from a network device; and according to the one or more The gain adjustment coefficient is used to perform gain adjustment on the codebook coefficients corresponding to the multiple port groups.
  • the network device may send the gain adjustment coefficient to the terminal device through signaling in advance.
  • the network device may configure one gain adjustment coefficient for each port group, or may send multiple gain adjustment coefficients to the terminal device so that the terminal device can select one or more of them to use. This application does not limit this.
  • the terminal device may further report the used gain adjustment coefficient to the network device.
  • the performing gain adjustment on the codebook coefficients corresponding to the multiple ports includes: corresponding to multiple port groups based on one or more pre-stored gain adjustment coefficients The codebook coefficients for gain adjustment.
  • the terminal device can select the gain adjustment coefficient by itself, and adjust the gain of the codebook coefficients corresponding to multiple port groups. In this case, since the network device cannot know the gain adjustment coefficient in advance, the terminal device can report the used gain adjustment coefficient to the network device.
  • the method further includes: reporting the one or more gain adjustment coefficients to the network device.
  • the network device can, in the process of determining the precoding, calculate the quantized codebook coefficient reported by the terminal device according to the gain adjustment coefficient corresponding to each port group (It can be understood that the quantized codebook coefficients reported by the terminal device are codebook coefficients after gain adjustment) are restored to codebook coefficients before gain adjustment, or in other words, restored to codebook coefficients without gain adjustment.
  • a method for processing a precoding matrix is provided.
  • the method may be executed by a network device, or may also be executed by a component (such as a chip or a chip system, etc.) configured in the network device. This application does not limit this.
  • the method includes: receiving second information from a terminal device, where the second information is used to indicate quantized codebook coefficients, and the quantized codebook coefficients are codebook coefficients corresponding to multiple port groups in the precoding matrix.
  • the coefficient is obtained after gain adjustment and quantization; according to the second information, the precoding matrix is determined.
  • the terminal device can perform gain adjustment on the codebook coefficients before quantizing the codebook coefficients of the precoding matrix, so that the codebook coefficients of some ports can be amplified when the energy distribution of the ports differs greatly. , And/or, reduce the codebook coefficients of another part of the ports to reduce the energy distribution difference between the ports, so as to avoid the loss of codebook feedback accuracy of some ports caused by the loss of the codebook coefficients of some ports in the quantization process.
  • the codebook coefficients corresponding to different port groups are adjusted by different gain adjustment coefficients by grouping ports, which is convenient for terminal equipment and network equipment to determine the corresponding relationship between each port and gain adjustment coefficient, which is conducive to the accuracy of network equipment.
  • the method for processing the precoding matrix provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • the method further includes: sending first information to the terminal device, where the first information is used to indicate one or more of the following: the number of port groups, the number of port groups The number of ports contained in each port group, and the ports contained in each port group in multiple port groups.
  • the network device may send the port group configuration to the terminal device through signaling in advance.
  • the terminal device may group the ports corresponding to the precoding matrix according to the first information sent by the network device, or may further combine with predefined rules, etc., to obtain multiple port groups.
  • the method further includes: receiving, from the terminal device, an indication of the ports included in each port group of the plurality of port groups.
  • the terminal device can group ports by itself, for example, according to the number of port groups predefined by the protocol and/or the number of ports included in each port group, and predefined rules, etc., to obtain multiple port groups.
  • the terminal device may further report the ports included in each group to the network device, so that the network device can subsequently determine the precoding matrix.
  • the method further includes: sending one or more gain adjustment coefficients to the terminal device, where the one or more gain adjustment coefficients are used for codes corresponding to the multiple port groups This coefficient is used for gain adjustment.
  • the network device may send the gain adjustment coefficient to the terminal device through signaling in advance.
  • the network device may configure one gain adjustment coefficient for each port group, or may send multiple gain adjustment coefficients to the terminal device so that the terminal device can select one or more of them to use. This application does not limit this.
  • the method further includes: receiving one or more gain adjustment coefficients from the terminal device, and the one or more gain adjustment coefficients are used for codes corresponding to the multiple port groups. This coefficient is used for gain adjustment.
  • the terminal device can select the gain adjustment coefficient by itself, and adjust the gain of the codebook coefficients corresponding to multiple port groups. In this case, since the network device cannot know the gain adjustment coefficient in advance, the terminal device can report the used gain adjustment coefficient to the network device.
  • the terminal device may also further report the used gain adjustment coefficient to the network device.
  • a method for processing a precoding matrix is provided.
  • the method may be executed by, for example, a terminal device, or may also be executed by a component (such as a chip or a chip system, etc.) configured in the terminal device. This application does not limit this.
  • the method includes: determining the codebook coefficients of the precoding matrix; grouping ports corresponding to the precoding matrix to obtain multiple port groups; respectively performing codebook coefficients corresponding to each port group in the multiple port groups Quantification processing.
  • the terminal device compresses and quantizes the codebook coefficients of the precoding matrix separately according to the corresponding port group, and groups ports with similar energy distributions into a group for compression, which can make the port Codebook coefficients with large differences in energy distribution are separated and compressed individually. Therefore, it is possible to avoid the reduction of the codebook feedback accuracy caused by the loss of the codebook coefficients of some ports in the compression process.
  • the network device may determine the precoding matrix according to the relationship between the same port groups and the codebook coefficients corresponding to each port group fed back by the terminal device.
  • the precoding matrix recovered by the network device integrates the codebook coefficients of each port, and the loss of the codebook coefficients is less, which is beneficial to the network device to accurately recover the precoding matrix. Therefore, the method for processing the precoding matrix provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • the method further includes: sending third information to the network device, where the third information is used to indicate the quantized codebook coefficients for use in constructing a precoding matrix; wherein ,
  • the quantized codebook coefficient includes the quantized codebook coefficient corresponding to each port group in the multiple port groups, and the quantized codebook coefficient corresponding to the first port group in the multiple port groups is
  • the codebook coefficients corresponding to the first port group in the precoding matrix are obtained by quantization processing; where the first port group is any one of the multiple port groups.
  • the first port group is any one of the plurality of port groups, and should not be limited to the ordering of the plurality of port groups. Assume that the number of port groups is G, G ⁇ 2 and is an integer. Then the first port group may be, for example, any one of the 0th to G-1th in the G port groups.
  • the quantized codebook information indicated by the third information is also the quantized codebook coefficient corresponding to each port group.
  • the terminal device may send the quantized codebook coefficients of each port group to the network device through the third information, so that the network device can determine the precoding matrix according to the third information.
  • the grouping of ports corresponding to the precoding matrix to obtain multiple port groups includes: receiving first information from a network device, where the first information is used to indicate One or more of the following: the number of port groups, the number of ports contained in each port group in the multiple port groups, and the ports contained in each port group in the multiple port groups; based on the first information, the preset Group the ports corresponding to the coding matrix to obtain multiple port groups.
  • the network device may send the port group configuration to the terminal device through signaling in advance.
  • the terminal device may group the ports corresponding to the precoding matrix according to the first information sent by the network device, or may further combine with predefined rules, etc., to obtain multiple port groups.
  • the method further includes: reporting the ports included in each port group in the multiple port groups to the network device.
  • the terminal device can group ports by itself, for example, according to the number of port groups predefined by the protocol and/or the number of ports included in each port group, and predefined rules, etc., to obtain multiple port groups.
  • the terminal device may further report the ports included in each group to the network device, so that the network device can subsequently determine the precoding matrix.
  • the method further includes: reporting one or more gain adjustment coefficients to the network device, where the one or more gain adjustment coefficients are used to indicate codebooks corresponding to multiple port groups The weight relationship between the coefficients.
  • the terminal device When the terminal device quantizes the codebook coefficients corresponding to multiple port groups, the codebook coefficients corresponding to each port group are individually compressed and quantized. However, there is a certain energy difference between the multiple port groups.
  • the terminal device can characterize the energy difference between the port groups through a gain adjustment coefficient, and report it to the network device. Therefore, when restoring the precoding matrix, the network device can perform gain adjustment on the codebook coefficients corresponding to each restored port group according to the gain adjustment coefficient, and then determine the precoding matrix.
  • the energy difference between the port groups represented by the gain adjustment coefficient may refer to the weight relationship between the codebook coefficients corresponding to the port groups.
  • the gain adjustment coefficient is only a name, and should not constitute any limitation in this application.
  • a method for processing a precoding matrix is provided.
  • the method may be executed by a network device, or may also be executed by a component (such as a chip or a chip system, etc.) configured in the network device. This application does not limit this.
  • the method includes: receiving third information from a terminal device, where the third information is used to indicate quantized codebook coefficients for constructing a precoding matrix; the quantized codebook coefficients include corresponding to multiple ports The quantized codebook coefficients of each port group in the group, corresponding to the quantized codebook coefficients of the first port group in the multiple port groups, are the codebook coefficients corresponding to the first port group in the precoding matrix. Quantified processing is obtained; wherein, the first port group is any one of the multiple port groups.
  • the first port group is any one of the plurality of port groups, and should not be limited to the ordering of the plurality of port groups. Assume that the number of port groups is G, G ⁇ 2 and is an integer. Then the first port group may be, for example, any one of the 0th to G-1th in the G port groups.
  • the terminal device compresses and quantizes the codebook coefficients of the precoding matrix separately according to the corresponding port group, and groups ports with similar energy distributions into a group for compression, which can make the port Codebook coefficients with large differences in energy distribution are separated and compressed individually. Therefore, it is possible to avoid the reduction of the codebook feedback accuracy caused by the loss of the codebook coefficients of some ports in the compression process.
  • the network device may determine the precoding matrix according to the relationship between the same port groups and the codebook coefficients corresponding to each port group fed back by the terminal device.
  • the precoding matrix recovered by the network device integrates the codebook coefficients of each port, and the loss of the codebook coefficients is less, which is beneficial to the network device to accurately recover the precoding matrix. Therefore, the method for processing the precoding matrix provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • the method further includes: sending first information to the terminal device, where the first information is used to indicate one or more of the following: the number of port groups, the number of port groups The number of ports contained in each port group, and the ports contained in each port group in multiple port groups.
  • the network device may send the port group configuration to the terminal device through signaling in advance.
  • the terminal device may group the ports corresponding to the precoding matrix according to the first information sent by the network device, or may further combine with predefined rules, etc., to obtain multiple port groups.
  • the method further includes: receiving, from the terminal device, an indication of the ports included in each port group of the plurality of port groups.
  • the terminal device can group ports by itself, for example, according to the number of port groups predefined by the protocol and/or the number of ports included in each port group, and predefined rules, etc., to obtain multiple port groups.
  • the terminal device may further report the ports included in each group to the network device, so that the network device can subsequently determine the precoding matrix.
  • the method further includes: receiving one or more gain adjustment coefficients from the terminal device, where the one or more gain adjustment coefficients are used to indicate codebooks corresponding to multiple port groups The weight relationship between the coefficients.
  • the terminal device quantizes the codebook coefficients corresponding to multiple port groups
  • the codebook coefficients corresponding to each port group are individually compressed and quantized.
  • the terminal device can express the energy difference between the port groups through a gain adjustment coefficient and report it to the network device. Therefore, when restoring the precoding matrix, the network device can perform gain adjustment on the codebook coefficients corresponding to each restored port group according to the gain adjustment coefficient, and then determine the precoding matrix.
  • the energy difference between port groups represented by the gain adjustment coefficient may refer to the weight relationship between the codebook coefficients corresponding to multiple port groups.
  • the gain adjustment coefficient is only a name, and should not constitute any limitation in this application.
  • the indication of the ports included in each port group in the multiple port groups includes: a character string; or, a port group division method Or, at least one of the number of ports included in the port group, the first port number, and the last port number.
  • each character in the character string can correspond to a port, and each character can be used to indicate the port group to which the corresponding port belongs.
  • the port group division method may specifically refer to the port numbers of the ports included in each port group.
  • the port group division mode can be selected from a plurality of pre-configured port group division modes, and different port group division modes can be indicated through different identifiers or indexes.
  • a precoding matrix processing method is provided.
  • the method may be executed by, for example, a terminal device, or may also be executed by a component (such as a chip or a chip system, etc.) configured in the terminal device. This application does not limit this.
  • the method includes: determining codebook coefficients of the precoding matrix; performing first quantization processing on the codebook coefficients to obtain first quantization information, where the first quantization information is used to indicate at least one of a plurality of linear superposition coefficients Linear superposition coefficient; wherein, each linear superposition coefficient in the plurality of linear superposition coefficients corresponds to a beam, or, each linear superposition coefficient in the plurality of linear superposition coefficients corresponds to a beam and a frequency domain unit, and Used to construct a precoding matrix; perform second quantization processing on part or all of the linear superimposition coefficients that are not quantized by the first quantization information among the multiple linear superposition coefficients to obtain second quantization information, and the second quantization information is used to indicate the foregoing Part or all of the linear superposition coefficient.
  • the terminal device performs secondary quantization processing on the linear superimposition coefficient, which is equivalent to grouping the linear superimposition coefficients according to the magnitude of energy, and grouping the linear superimposition coefficients with larger energy into a group for compression.
  • the linear superposition coefficients with smaller energy are grouped into another group for compression, and the results of the two compressions are respectively quantized to obtain the first quantized information and the second quantized information.
  • the first quantized information and the second quantized information are obtained through the fourth information.
  • the quantitative information is sent to the network device.
  • the network device can determine the precoding matrix according to the fourth information fed back by the terminal device and the energy relationship between the two sets of linear superposition coefficients.
  • the terminal device feedbacks more linear superposition coefficients, it is possible to avoid a decrease in feedback accuracy caused by the loss of the linear superposition coefficient, which is beneficial to the network device to more accurately recover the precoding matrix. Therefore, the method for processing the precoding matrix provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • the method further includes: sending fourth information to the network device, where the fourth information includes the first quantization information and the second quantization information.
  • the terminal device can report both sets of linear superposition coefficients to the network device through the first quantization information and the second quantization information, so that the network device can determine the precoding matrix based on more linear superposition coefficients, which is beneficial to the network device Determine the precoding matrix more accurately.
  • the method further includes: reporting one or more or more gain adjustment coefficients to the network device, where the one or more gain adjustment coefficients are used to indicate that the first quantization information is passed The energy relationship between the indicated linear superimposition coefficient and the linear superimposition coefficient indicated by the second quantization information.
  • the terminal equipment separately compresses and quantizes each set of linear superimposition coefficients when quantizing the two sets of linear superposition coefficients with large energy differences.
  • the energy difference between the two sets of linear superposition coefficients is relatively large, and the terminal device can characterize the energy difference between the two sets of linear superposition coefficients through the gain adjustment coefficient and report it to the network device. Therefore, when restoring the precoding matrix, the network device may first perform normalization processing on the two sets of linear superposition coefficients according to the gain adjustment coefficient, and then determine the precoding matrix.
  • the method further includes: reporting the number of linear superposition coefficients indicated by the second quantization information to the network device.
  • the terminal device can decide by itself which linear superposition coefficients of the linear superposition coefficients not indicated by the first quantization information to perform the second quantization process, and can report the number of linear superposition coefficients subjected to the second quantization process to the network device .
  • the method further includes: receiving fifth information from the network device, where the fifth information is used to indicate the number of linear superimposition coefficients indicated by the second quantization information.
  • the network device may indicate the number of linear superimposition coefficients that the second quantization information can be used to indicate through signaling in advance, that is, limit the number of the second set of linear superimposition coefficients.
  • a method for processing a precoding matrix is provided.
  • the method may be executed by a network device, or may also be executed by a component (such as a chip or a chip system, etc.) configured in the network device. This application does not limit this.
  • the method includes: receiving fourth information, the fourth information including first quantization information and second quantization information; the first quantization information is used to indicate at least one linear superimposition coefficient among a plurality of linear superimposition coefficients; wherein, Each linear superposition coefficient in the plurality of linear superposition coefficients corresponds to a beam, or, each linear superposition coefficient in the plurality of linear superposition coefficients corresponds to a beam and a frequency domain unit, so as to construct a precoding matrix
  • the second quantization information is used to indicate part or all of the linear superimposition coefficients that are not quantized by the first quantization information among the plurality of linear superposition coefficients; and the precoding matrix is determined according to the fourth information.
  • the terminal device performs secondary quantization processing on the linear superimposition coefficient, which is equivalent to grouping the linear superimposition coefficients according to the magnitude of energy, and grouping the linear superimposition coefficients with larger energy into a group for compression.
  • the linear superposition coefficients with smaller energy are grouped into another group for compression, and the results of the two compressions are respectively quantized to obtain the first quantized information and the second quantized information.
  • the first quantized information and the second quantized information are obtained through the fourth information.
  • the quantitative information is sent to the network device.
  • the network device can determine the precoding matrix according to the fourth information fed back by the terminal device and the energy relationship between the two sets of linear superposition coefficients.
  • the terminal device feedbacks more linear superposition coefficients, it is possible to avoid a decrease in feedback accuracy caused by the loss of the linear superposition coefficient, which is beneficial to the network device to more accurately recover the precoding matrix. Therefore, the method for processing the precoding matrix provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • the method further includes: receiving one or more or more gain adjustment coefficients from the terminal device, where the one or more gain adjustment coefficients are used to indicate that the first quantization information is passed The energy relationship between the indicated linear superimposition coefficient and the linear superimposition coefficient indicated by the second quantization information.
  • the terminal equipment separately compresses and quantizes each set of linear superimposition coefficients when quantizing the two sets of linear superposition coefficients with large energy differences.
  • the energy difference between the two sets of linear superposition coefficients is relatively large, and the terminal device can characterize the energy difference between the two sets of linear superposition coefficients by the gain adjustment coefficient, and report it to the network device. Therefore, when restoring the precoding matrix, the network device may first perform normalization processing on the two sets of linear superposition coefficients according to the gain adjustment coefficient, and then determine the precoding matrix.
  • the method further includes: receiving the number of linear superposition coefficients indicated by the second quantization information from the terminal device.
  • the terminal device can decide by itself which linear superposition coefficients of the linear superposition coefficients not indicated by the first quantization information to perform the second quantization process, and can report the number of linear superposition coefficients subjected to the second quantization process to the network device .
  • the method further includes: sending fifth information to the terminal device, where the fifth information is used to indicate the number of linear superimposition coefficients indicated by the second quantization information.
  • the network device may indicate the number of linear superimposition coefficients that the second quantization information can be used to indicate through signaling in advance, that is, limit the number of the second set of linear superimposition coefficients.
  • a communication device including various modules or units for executing the method in any one of the possible implementation manners of the first aspect, the third aspect, and the fifth aspect.
  • a communication device including various modules or units for executing the method in any one of the possible implementation manners of the second aspect, the fourth aspect, and the sixth aspect.
  • a communication device including a processor.
  • the processor is coupled to the memory and can be used to execute instructions in the memory to implement the method in any one of the possible implementation manners of the first aspect, the third aspect, and the fifth aspect.
  • the communication device further includes a memory.
  • the communication device further includes a communication interface, and the processor is coupled with the communication interface.
  • the communication device is a terminal device.
  • the communication interface may be a transceiver, or an input/output interface.
  • the communication device is a chip configured in a terminal device.
  • the communication interface may be an input/output interface.
  • the transceiver may be a transceiver circuit.
  • the input/output interface may be an input/output circuit.
  • a communication device including a processor.
  • the processor is coupled to the memory and can be used to execute instructions in the memory to implement the method in any one of the possible implementation manners of the second aspect, the fourth aspect, and the sixth aspect.
  • the communication device further includes a memory.
  • the communication device further includes a communication interface, and the processor is coupled with the communication interface.
  • the communication device is a terminal device.
  • the communication interface may be a transceiver, or an input/output interface.
  • the communication device is a chip configured in a terminal device.
  • the communication interface may be an input/output interface.
  • the transceiver may be a transceiver circuit.
  • the input/output interface may be an input/output circuit.
  • a processor including: an input circuit, an output circuit, and a processing circuit.
  • the processing circuit is configured to receive a signal through the input circuit and transmit a signal through the output circuit, so that the processor executes the method in any one of the possible implementation manners of the first aspect to the sixth aspect.
  • the above-mentioned processor can be one or more chips
  • the input circuit can be an input pin
  • the output circuit can be an output pin
  • the processing circuit can be a transistor, a gate circuit, a flip-flop, and various logic circuits, etc.
  • the input signal received by the input circuit may be received and input by, for example, but not limited to, a receiver
  • the signal output by the output circuit may be, for example, but not limited to, output to the transmitter and transmitted by the transmitter
  • the circuit can be the same circuit, which is used as an input circuit and an output circuit at different times.
  • the embodiments of the present application do not limit the specific implementation manners of the processor and various circuits.
  • a processing device including a processor and a memory.
  • the processor is used to read instructions stored in the memory, and can receive signals through a receiver, and transmit signals through a transmitter, so as to execute the method in any one of the possible implementation manners of the first aspect to the sixth aspect.
  • processors there are one or more processors and one or more memories.
  • the memory may be integrated with the processor, or the memory and the processor may be provided separately.
  • the memory can be a non-transitory (non-transitory) memory, such as a read only memory (ROM), which can be integrated with the processor on the same chip, or can be set in different On the chip, the embodiment of the present application does not limit the type of the memory and the setting mode of the memory and the processor.
  • ROM read only memory
  • sending instruction information may be a process of outputting instruction information from the processor
  • receiving capability information may be a process of the processor receiving input capability information.
  • the data output by the processor can be output to the transmitter, and the input data received by the processor can come from the receiver.
  • the transmitter and receiver can be collectively referred to as a transceiver.
  • the processing device in the above-mentioned twelfth aspect may be one or more chips.
  • the processor in the processing device can be implemented by hardware or software.
  • the processor may be a logic circuit, integrated circuit, etc.; when implemented by software, the processor may be a general-purpose processor, which is implemented by reading the software code stored in the memory, and the memory may Integrated in the processor, can be located outside the processor, and exist independently.
  • a computer program product includes: a computer program (also called code, or instruction), which when the computer program is run, causes the computer to execute the first aspect to The method in any possible implementation of the sixth aspect.
  • a computer program also called code, or instruction
  • a computer-readable medium stores a computer program (also called code, or instruction) when it runs on a computer, so that the computer executes the above-mentioned first aspect to The method in any possible implementation of the sixth aspect.
  • a computer program also called code, or instruction
  • a communication system including the aforementioned network equipment and terminal equipment.
  • FIG. 1 is a schematic diagram of a communication system suitable for a method for processing a precoding matrix provided by an embodiment of the present application;
  • FIGS. 2 to 4 are schematic flowcharts of a method for processing a precoding matrix provided by an embodiment of the present application
  • FIG. 5 is a schematic diagram of performing DFT on a space-frequency matrix provided by an embodiment of the present application.
  • FIG. 6 is a schematic block diagram of a communication device provided by an embodiment of the present application.
  • FIG. 7 is a schematic block diagram of another communication device provided by an embodiment of the present application.
  • FIG. 8 is a schematic block diagram of another communication device provided by an embodiment of the present application.
  • FIG. 9 is a schematic structural diagram of a terminal device provided by an embodiment of the present application.
  • FIG. 10 is a schematic structural diagram of a network device provided by an embodiment of the present application.
  • LTE Long Term Evolution
  • FDD frequency division duplex
  • TDD time division duplex
  • UMTS universal mobile telecommunication system
  • WiMAX worldwide interoperability for microwave access
  • 5G fifth generation
  • 5G mobile communication system or new wireless access Access technology (new radio Access Technology, NR) or next-generation communications, such as 6G.
  • NSA non-standalone
  • SA standalone
  • the technical solution provided in this application can also be applied to machine type communication (MTC), inter-machine communication long-term evolution technology (Long Term Evolution-machine, LTE-M), and device-to-device (D2D) Network, machine to machine (M2M) network, Internet of things (IoT) network or other networks.
  • MTC machine type communication
  • LTE-M inter-machine communication long-term evolution technology
  • D2D device-to-device
  • M2M machine to machine
  • IoT Internet of things
  • the IoT network may include, for example, the Internet of Vehicles.
  • V2X vehicle to other devices
  • V2X vehicle to other devices
  • V2X vehicle to other devices
  • V2X vehicle to other devices
  • the V2X may include: vehicle to vehicle (V2V) communication, and the vehicle communicates with Infrastructure (vehicle to infrastructure, V2I) communication, vehicle to pedestrian communication (V2P) or vehicle to network (V2N) communication, etc.
  • V2V vehicle to vehicle
  • V2I infrastructure
  • V2P vehicle to pedestrian communication
  • V2N vehicle to network
  • the technical solution provided in this application can also be applied to future communication systems, such as the 6th Generation (6G) mobile communication system. This application does not limit this.
  • 6G 6th Generation
  • the network device may be any device with a wireless transceiver function.
  • This equipment includes but is not limited to: evolved Node B (eNB), radio network controller (RNC), Node B (NB), base station controller (BSC) , Base transceiver station (BTS), home base station (for example, home evolved NodeB, or home Node B, HNB), 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., can also be 5G, such as NR ,
  • the gNB may include a centralized unit (CU) and a DU.
  • the gNB may also include an active antenna unit (AAU).
  • the CU implements some of the functions of the gNB, and the DU implements some of the functions of the gNB.
  • the CU is responsible for processing non-real-time protocols and services, and implements radio resource control (radio resource control, RRC) and packet data convergence protocol (packet data convergence protocol, PDCP) layer functions.
  • RRC radio resource control
  • PDCP packet data convergence protocol
  • the DU is responsible for processing physical layer protocols and real-time services, and implements the functions of the radio link control (RLC) layer, medium access control (MAC) layer, and physical (physical, PHY) layer.
  • RLC radio link control
  • MAC medium access control
  • PHY physical
  • AAU realizes some physical layer processing functions, radio frequency processing and related functions of active antennas. Since the information of the RRC layer will eventually become the information of the PHY layer, or be transformed from the information of the PHY layer, under this architecture, high-level signaling, such as RRC layer signaling, can also be considered to be sent by the DU , Or, sent by DU and AAU.
  • the network device may be a device that includes one or more of a CU node, a DU node, and an AAU node.
  • the CU can be divided into network equipment in an access network (radio access network, RAN), and the CU can also be divided into network equipment 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.) , It may also belong to the base station corresponding to the small cell, where the small cell may include: metro cell, micro cell, pico cell, femto cell, etc. These small cells have the characteristics of small coverage and low transmit 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 may include: metro cell, micro cell, pico cell, femto cell, etc.
  • terminal equipment may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile equipment, user terminal, Terminal, wireless communication equipment, user agent or user device.
  • UE user equipment
  • the terminal device may be a device that provides voice/data connectivity to the user, for example, a handheld device with a wireless connection function, a vehicle-mounted device, and so on.
  • some examples of terminals can be: mobile phones (mobile phones), tablets (pads), computers with wireless transceiver functions (such as laptops, palmtop computers, etc.), mobile Internet devices (mobile internet devices, MID), virtual reality Virtual reality (VR) equipment, augmented reality (AR) equipment, wireless terminals in industrial control, wireless terminals in self-driving (self-driving), and wireless in remote medical (remote medical) Terminals, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, cellular phones, cordless Telephone, session initiation protocol (SIP) telephone, wireless local loop (WLL) station, personal digital assistant (PDA), handheld device with wireless communication function, computing device or connection Other processing equipment to wireless modems, in-vehicle equipment, wearable equipment, terminal equipment in the 5G network, or
  • wearable devices can also be called wearable smart devices, which are the general term for using wearable technology to intelligently design daily wear and develop wearable devices, such as glasses, gloves, watches, clothing and shoes.
  • a wearable device is a portable device that is directly worn on the body or integrated into the user's clothes or accessories.
  • Wearable devices are not only a kind of hardware device, but also realize powerful functions through software support, data interaction, and cloud interaction.
  • wearable smart devices include full-featured, large-sized, complete or partial functions that can be achieved without relying on smart phones, such as smart watches or smart glasses, and only focus on a certain type of application function, and need to cooperate with other devices such as smart phones.
  • the terminal device may also be a terminal device in the 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 objects 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 terminals through, for example, narrowband NB technology.
  • terminal devices can also include sensors such as smart printers, train detectors, gas stations, etc.
  • the main functions include collecting data (some terminal devices), receiving control information and downlink data from network devices, and sending electromagnetic waves to transmit uplink data to network devices. .
  • FIG. 1 shows a schematic diagram of a communication system 100 applicable to the method provided in the embodiment of the present application.
  • the communication system 100 may include at least one network device, such as the network device 101 in the 5G system shown in FIG. 1; the communication system 100 may also include at least one terminal device, as shown in FIG. Terminal equipment 102 to 107.
  • the terminal devices 102 to 107 may be mobile or fixed.
  • the network device 101 and one or more of the terminal devices 102 to 107 can communicate through a wireless link.
  • Each network device can provide communication coverage for a specific geographic area, and can communicate with terminal devices located in the coverage area. For example, 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 101 and the terminal devices 102 to 107 in FIG. 1 constitute a communication system.
  • the terminal devices can communicate directly.
  • D2D technology can be used to realize direct communication between terminal devices.
  • D2D technology can be used for direct communication.
  • the terminal device 106 and the terminal device 107 may communicate with the terminal device 105 individually or at the same time.
  • the terminal devices 105 to 107 may also communicate with the network device 101, respectively. For example, it can directly communicate with the network device 101.
  • the terminal devices 105 and 106 in the figure can directly communicate with the network device 101; it can also communicate with the network device 101 indirectly, as the terminal device 107 in the figure communicates with the network device via the terminal device 106. 101 communication.
  • FIG. 1 exemplarily shows a network device, multiple terminal devices, and communication links between each communication device.
  • the communication system 100 may include multiple network devices, and the coverage of each network device may include other numbers of terminal devices, for example, more or fewer terminal devices. This application does not limit this.
  • Each of the aforementioned communication devices may be configured with multiple antennas.
  • the plurality of antennas may include at least one transmitting antenna for transmitting signals and at least one receiving antenna for receiving signals.
  • each communication device additionally includes a transmitter chain and a receiver chain.
  • Those of ordinary skill in the art can understand that they can all include multiple components related to signal transmission and reception (such as processors, modulators, multiplexers, etc.). , Demodulator, demultiplexer or antenna, etc.). Therefore, multiple antenna technology can be used to communicate between network devices and terminal devices.
  • the wireless communication system 100 may also include other network entities such as a network controller and a mobility management entity, and the embodiment of the present application is not limited thereto.
  • the processing procedure of the downlink signal at the physical layer before transmission may be executed by a network device, or may be executed by a component (such as a chip or a chip system, etc.) configured in the network device.
  • a component such as a chip or a chip system, etc.
  • network devices For the convenience of description, the following are collectively referred to as network devices.
  • Network equipment can process code words on physical channels.
  • the codeword may be coded bits that have been coded (for example, including channel coding).
  • the codeword is scrambling to generate scrambled bits.
  • the scrambled bits undergo modulation mapping (modulation mapping) to obtain modulation symbols.
  • Modulation symbols are mapped to multiple layers, or transmission layers, after layer mapping.
  • the modulation symbols after layer mapping are precoding (precoding) to obtain a precoded signal.
  • the precoded signal is mapped to multiple REs after resource element (resource element, RE) mapping. These REs are then modulated by orthogonal frequency division multiplexing (OFDM) and then transmitted through an antenna port (antenna port).
  • OFDM orthogonal frequency division multiplexing
  • the sending device (such as network equipment) can process the signal to be sent with the aid of a precoding matrix that matches the channel status when the channel status is known, so that the precoded signal to be sent and the channel Adaptation, thereby reducing the complexity of the receiving device (such as the terminal device) in eliminating the influence between channels. Therefore, through the precoding processing of the signal to be transmitted, the quality of the received signal (for example, the signal to interference plus noise ratio (SINR), etc.) can be improved. Therefore, the use of precoding technology can realize the transmission on the same time-frequency resource between the sending device and multiple receiving devices, that is, the realization of multiple user multiple input multiple output (MU-MIMO).
  • MU-MIMO multiple user multiple input multiple output
  • the sending device may also perform precoding in other ways. For example, when channel information (such as but not limited to a channel matrix) cannot be obtained, precoding is performed using a preset precoding matrix or a weighting processing method. For the sake of brevity, its specific content will not be repeated here.
  • Antenna port referred to as port.
  • the antenna port can be understood as a transmitting antenna recognized by the receiving device, or a transmitting antenna that can be distinguished in space.
  • Each antenna port can correspond to a reference signal. Therefore, each antenna port can be called a reference signal port, for example, channel state information reference signal (CSI-RS) port, sounding reference signal ( sounding reference signal (SRS) port, etc.
  • CSI-RS channel state information reference signal
  • SRS sounding reference signal
  • the terminal device can determine the precoding matrix based on channel measurement.
  • the terminal may determine the channel matrix by means such as channel estimation or based on channel reciprocity.
  • the precoding matrix can be obtained, for example, by performing singular value decomposition (SVD) on the channel matrix or the covariance matrix of the channel matrix, or it can also be obtained by performing eigenvalue decomposition (eigenvalue decomposition) on the covariance matrix of the channel matrix. , EVD).
  • SVD singular value decomposition
  • eigenvalue decomposition eigenvalue decomposition
  • EVD eigenvalue decomposition
  • the precoding matrix determined by the terminal device may be referred to as the precoding matrix to be fed back, or in other words, the precoding matrix to be reported.
  • the terminal device may indicate the precoding matrix to be fed back through a precoding matrix indicator (PMI), so that the network device can recover the precoding matrix based on the PMI.
  • PMI precoding matrix indicator
  • the precoding matrix recovered by the network device based on the PMI may be the same or similar to the foregoing precoding matrix to be fed back.
  • the network device may determine the precoding matrix corresponding to one or more frequency domain units based on the feedback of the terminal device.
  • the precoding matrix determined by the network equipment can be directly used for downlink data transmission; it can also undergo some beamforming methods, such as zero forcing (ZF), regularized zero-forcing (RZF), Minimum mean-squared error (MMSE), maximum signal-to-leakage-and-noise (SLNR), etc., to obtain the final precoding matrix for downlink data transmission.
  • ZF zero forcing
  • RZF regularized zero-forcing
  • MMSE Minimum mean-squared error
  • SLNR maximum signal-to-leakage-and-noise
  • the precoding matrix may be, for example, a T ⁇ R-dimensional matrix.
  • T represents the number of antenna ports in a polarization direction
  • R represents the number of transmission layers
  • both T and R are integers greater than or equal to 1.
  • the precoding matrix may be, for example, a 2T ⁇ R-dimensional matrix.
  • Each column in the precoding matrix may correspond to one transmission layer.
  • the T elements in each column represent the weights (or weights) of the T antenna ports. By linearly combining the signals of the T antenna ports, a strong area can be formed in a certain direction of space.
  • the elements in the precoding matrix are referred to as codebook coefficients.
  • Each row in the precoding matrix may correspond to one antenna port.
  • the R elements in each row represent different weights of the same antenna port on the R transmission layers. It can be understood that when the number of transmission layers R is 1, the precoding matrix is a vector of length T, which can also be referred to as a precoding vector.
  • Frequency domain unit a unit of frequency domain resources, which can represent different granularity of frequency domain resources.
  • Frequency domain units may include, but are not limited to, channel quality indicator (CQI) subband, 1/R of CQI subband, resource block (resource block, RB), subcarrier, resource block group ( resource block group, RBG) or precoding resource block group (PRG), etc.
  • CQI channel quality indicator
  • R is a positive integer.
  • the value of R can be 1 or 2, for example.
  • the value of R may be pre-configured by the network device to the terminal device through signaling.
  • the PMI may be used to indicate a precoding matrix corresponding to a frequency domain unit, and the frequency domain unit may also be referred to as a PMI subband.
  • R may represent the ratio of the granularity of the CQI subband to the granularity of the PMI subband.
  • R is 1, the granularity of a CQI subband is the same as the granularity of a PMI subband; when R is 2, the granularity of a CQI subband is twice the granularity of a PMI subband.
  • the precoding matrix corresponding to the frequency domain unit may refer to a precoding matrix determined by performing channel measurement and feedback based on the reference signal on the frequency domain unit.
  • the precoding matrix corresponding to the frequency domain unit can be used to precode the data subsequently transmitted through the frequency domain unit.
  • the precoding matrix corresponding to the frequency domain unit may also be simply referred to as the precoding matrix of the frequency domain unit.
  • the channel matrix corresponding to the frequency domain unit may refer to a channel matrix determined by performing channel estimation and feedback based on the reference signal on the frequency domain unit.
  • the channel matrix corresponding to the frequency domain unit can be used to determine the precoding matrix used for subsequent data transmission through the frequency domain unit.
  • the channel matrix corresponding to the frequency domain unit may also be simply referred to as the channel matrix of the frequency domain unit.
  • a subband for example, the above-mentioned PMI subband
  • a frequency domain unit for example, the above-mentioned PMI subband
  • Airspace compression It can refer to the type II (type II) codebook feedback in the version 15 (release 15, R15) (hereinafter referred to as R15) of TS38.214 of the 3rd generation partnership project (3GPP) standard the way.
  • R15 type II codebook feedback in the version 15 (release 15, R15) (hereinafter referred to as R15) of TS38.214 of the 3rd generation partnership project (3GPP) standard the way.
  • the terminal can quantize the precoding matrix of each subband (that is, an example of frequency domain unit), and can send the quantized value to the network device through the PMI, so that the network device can follow
  • the PMI determines a precoding matrix that is the same as or similar to the precoding matrix determined by the terminal.
  • the quantization process can be achieved through spatial compression.
  • the so-called spatial compression can specifically mean that the terminal projects the determined precoding matrix of each subband into a space composed of, for example, a DFT basis.
  • the channel is usually sparse, and several sub-bands can be obtained after projection. Strong airspace vector.
  • the precoding matrix of each subband can be approximated by the weighted sum of the above-mentioned several strong spatial vectors.
  • W represents a precoding matrix to be fed back in one transmission layer, one subband, and two polarization directions.
  • W 1 can be fed back through broadband
  • W 2 can be fed back through subbands.
  • v 0 to v 3 are the space vectors included in W 1 , and the plurality of space vectors can be indicated by the index of the combination of the plurality of space vectors, for example.
  • the spatial vectors in the two polarization directions are the same, and the spatial vectors v 0 to v 3 are both used.
  • a 0 to a 7 are the broadband amplitude coefficients included in W 1 , which can be indicated by the quantized value of the broadband amplitude coefficient.
  • c 0 to c 7 are the sub-band coefficients contained in W 2 , and each sub-band coefficient may include a sub-band amplitude coefficient and a sub-band phase coefficient.
  • c 0 to c 7 can respectively include sub-band amplitude coefficients ⁇ 0 to ⁇ 7 and sub-band phase coefficients to The quantized value of the sub-band amplitude coefficient ⁇ 0 to ⁇ 7 and the sub-band phase coefficient can be respectively passed to Quantized value to indicate. It can be seen that the precoding matrix to be fed back can be regarded as a weighted sum of multiple spatial vectors.
  • the feedback overhead of the terminal equipment will also increase.
  • the feedback overhead of a 0 to a 7 and c 0 to c 7 will be at most 4 times that of one transmission layer. That is to say, if the terminal device performs the above-mentioned broadband feedback and subband feedback based on each transmission layer, as the number of transmission layers increases, the feedback overhead caused will increase exponentially. The more the number of subbands, the greater the increase in feedback overhead.
  • TS38.214R16 (hereinafter referred to as R16) proposes a dual-domain compression codebook feedback method.
  • Dual-domain compression It can specifically include compression in the two dimensions of space-domain compression and frequency-domain compression.
  • the terminal can project its determined precoding matrix into a space composed of multiple spatial bases and a space composed of multiple frequency domain bases to obtain several strong spatial vectors and several strong frequency domains. vector.
  • a matrix composed of one or more spatial vectors selected by dual-domain compression is denoted as W 1 , and each column vector in W 1 is a spatial vector.
  • W 1 a matrix composed of one or more spatial vectors selected by dual-domain compression
  • each column vector in W 1 is a spatial vector.
  • L L ⁇ 1 and an integer space vectors
  • the dimension of W 1 may be 2T ⁇ 2L.
  • the same L spatial vectors can be used for the two polarization directions among them, For example, it may be L airspace vectors selected from the set of airspace vectors described above.
  • the matrix composed of one or more frequency domain vectors selected by dual-domain compression is denoted as W 3 , and each column vector in W 3 is a frequency domain vector. If M (M ⁇ 1 and integer) frequency domain vectors are selected, the dimension of W 3 can be N 3 ⁇ M. N 3 represents the number of subbands, and N 3 is an integer greater than or equal to 1.
  • the precoding matrix can be obtained by W 1 CW 3 H.
  • C is a 2L ⁇ M-dimensional coefficient matrix.
  • Each element in the coefficient matrix is a linear superposition coefficient, which corresponds to a spatial vector and a frequency vector.
  • the matrix calculated by W 1 CW 3 H is actually a matrix composed of precoding vectors corresponding to different subbands on the same transmission layer. Based on this matrix, the precoding matrix corresponding to each subband can be further determined.
  • the matrix calculated by W 1 CW 3 H is referred to as a space-frequency matrix. If a transmitting antenna with dual polarization directions is used, the dimension of the space-frequency matrix can be 2T ⁇ N 3 .
  • the space-frequency matrix will be explained in detail below, and will not be described in detail here.
  • the space-frequency matrix H and W 1 , W 3 shown above is only an example, and should not constitute any limitation to this application. Based on the same concept, those skilled in the art can perform mathematical transformations on the above-mentioned relationship to obtain other calculation formulas for representing the relationship between the space-frequency matrix H and W 1 , W 3.
  • each row vector in W 3 can correspond to a selected frequency domain vector.
  • the terminal can feed back the selected one or more spatial vectors and one or more frequency domain vectors to the network device when feedback
  • Each sub-band (such as sub-band) feeds back the linear superposition coefficient of the sub-band (for example, including amplitude and phase). Therefore, the feedback overhead can be greatly reduced.
  • the frequency domain vector can represent the change law of the channel in the frequency domain
  • the linear superposition of one or more frequency domain vectors can approximate the change of the channel in the frequency domain. Therefore, a high feedback accuracy can still be maintained, so that the precoding matrix recovered by the network device based on the feedback of the terminal device can still be better adapted to the channel.
  • Spatial domain vector It is also called beam vector, spatial beam basis vector or spatial domain vector, etc.
  • Each element in the spatial vector can represent the weight of each antenna port. Based on the weight of each antenna port represented by each element in the space vector, the signals of each antenna port are linearly superimposed to form an area with a strong signal in a certain direction in space.
  • the spatial vector is a Discrete Fourier Transform (DFT) vector.
  • DFT vector may refer to the vector in the DFT matrix.
  • the spatial vector is a conjugate transpose vector of the DFT vector.
  • the DFT conjugate transpose vector may refer to the column vector in the conjugate transpose matrix of the DFT matrix.
  • the spatial vector is an oversampled DFT vector.
  • the oversampled DFT vector may refer to the vector in the oversampled DFT matrix.
  • the spatial vector is the conjugate transpose vector of the oversampled DFT vector.
  • the airspace vector may be a two-dimensional (2 dimensions, 2D)-DFT vector v defined in a type II (type II) codebook in the NR protocol TS 38.214 version 15 (release 15, R15), for example. l,m .
  • the spatial vector can be a 2D-DFT vector or an oversampled 2D-DFT vector.
  • 2D-DFT vector a detailed description of the 2D-DFT vector is omitted here.
  • the spatial vector is one of the vectors used to construct the precoding matrix.
  • Frequency domain vector also called frequency domain basis vector.
  • the frequency domain vector can be used to represent the vector of the changing law of the channel in the frequency domain.
  • Each frequency domain vector can represent a change law. Since the signal is transmitted through the wireless channel, it can reach the receiving antenna through multiple paths from the transmitting antenna. Multipath time delay causes frequency selective fading, which is the change of frequency domain channel. Therefore, different frequency domain vectors can be used to represent the channel change law in the frequency domain caused by the time delay on different transmission paths.
  • the frequency domain vector may be used to construct a combination of multiple space domain vectors and frequency domain vectors, or simply a space-frequency vector pair, with the above-mentioned spatial domain vector to construct a precoding vector.
  • the frequency domain vector is a DFT vector.
  • the DFT vector may refer to the vector in the DFT matrix.
  • the frequency domain vector is a conjugate transpose vector of the DFT vector.
  • the frequency domain vector is an oversampled DFT vector.
  • the frequency domain vector is the conjugate transpose vector of the oversampled DFT vector.
  • the frequency domain vector is a discrete cosine transform (DCT) vector.
  • DCT discrete cosine transform
  • the frequency domain vector is a conjugate transpose vector of the DCT vector.
  • the frequency domain vector is an oversampled DCT vector.
  • the frequency domain vector is a conjugate transpose vector of the oversampled DCT vector.
  • the frequency domain vector is one of the vectors used to construct the precoding matrix in the feedback mode of dual domain compression.
  • the space-frequency matrix can be understood as an intermediate quantity used to determine the precoding matrix or the channel matrix corresponding to each subband.
  • the space-frequency matrix can be determined by the precoding matrix or the channel matrix corresponding to each subband.
  • the space-frequency matrix can be composed of multiple space-domain vectors and frequency-domain vectors (for example, the product of the conjugate transpose of the space-domain vector and the frequency-domain vector, or the Kronecker of the space-domain vector and the frequency-domain vector). This application includes but is not limited to the weighted sum of the product, etc., to be used to restore the channel matrix or the precoding matrix.
  • the space frequency matrix can be denoted as H, Where w 0 to Is N 3 column vectors corresponding to N 3 subbands, each column vector can be a precoding matrix corresponding to each subband, and the length of each column vector can be N s .
  • the N 3 column vectors respectively correspond to precoding vectors of N 3 subbands. That is, the space-frequency matrix can be regarded as a joint matrix formed by combining the precoding vectors corresponding to N 3 subbands.
  • the terminal performs spatial compression and dual-domain compression on the determined precoding matrix to compress and quantize the precoding matrix.
  • the compression effect is better due to the high correlation between the ports.
  • the compression effect is not ideal due to the poor correlation between the ports. If a similar scheme is sampled for compression and quantization, the feedback accuracy may be affected, resulting in greater performance loss.
  • the present application provides a method in order to improve the feedback accuracy, thereby improving the transmission performance of the system.
  • G Number of port groups, G ⁇ 2 and an integer.
  • T The number of antenna ports in a polarization direction. Therefore, for a dual-polarized antenna, the number of ports is 2T. T ⁇ 1 and is an integer. In the embodiment of the present application, the dimension of the spatial vector is assumed to be 2T ⁇ 1.
  • N 3 The number of subbands in the measurement bandwidth. N 3 ⁇ 1 and is an integer. In the embodiment of the present application, the dimension of the frequency domain vector is assumed to be N 3 .
  • R The rank (rank) fed back by the terminal device based on the channel measurement.
  • the rank fed back by the terminal device based on the channel measurement may be equal to the number of transmission layers.
  • stronger and weaker are introduced for ease of understanding and description.
  • stronger may, for example, mean greater energy, greater power, or greater amplitude
  • weaker for example, may mean less energy, less power, or greater amplitude. It should be understood that these terms are only introduced for ease of understanding and should not constitute any limitation to this application.
  • DFT discrete Fourier Transform
  • DCT discrete cosine transform
  • DCT discrete cosine transform
  • DCT discrete cosine transform
  • the basis and corresponding methods that can be used for terminal equipment to compress codebook coefficients are not limited to those listed above.
  • a basis can be generated by a sinc function.
  • the base or base calculation method can be predefined.
  • the protocol or the network device can directly define the base corresponding to the number of different ports (that is, the base type such as DCT, DFT, etc. is not explicitly specified).
  • the terminal device can quantify and report based on the corresponding base and base calculation method.
  • used to indicate may include used for direct indication and used for indirect indication.
  • the indication information may directly indicate I or indirectly indicate I, but it does not mean that I must be carried in the indication information.
  • the information indicated by the instruction information is called the information to be indicated.
  • the information to be indicated can be directly indicated, such as the information to be indicated or the information to be indicated. Indicates the index of the information, etc.
  • the information to be indicated can also be indicated indirectly by indicating other information, where there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while other parts of the information to be indicated are known or agreed in advance. For example, it is also possible to realize the indication of specific information by means of the pre-arranged order (for example, stipulated in the agreement) of the various information, thereby reducing the indication overhead to a certain extent.
  • the precoding matrix is composed of precoding vectors, and each precoding vector in the precoding matrix may have the same parts in terms of composition or other attributes.
  • the specific instruction manner may also be various existing instruction manners, such as but not limited to the foregoing instruction manners and various combinations thereof.
  • the required indication mode can be selected according to specific needs, and the embodiment of the present application does not limit the selected indication mode. In this way, the instruction methods involved in the embodiments of the present application should be understood to cover various methods that enable the party to be instructed to learn the information to be instructed.
  • a row vector can be expressed as a column vector
  • a matrix can be expressed by the transpose matrix of the matrix
  • a matrix can also be expressed in the form of a vector or an array. It can be formed by connecting each row vector or column vector of the matrix, and the Kronecker product of two vectors can also be expressed in the form of the product of one vector and the transposed vector of the other vector.
  • the information to be instructed can be sent together as a whole, or divided into multiple sub-information to be sent separately, and the sending period and/or sending timing of these sub-information can be the same or different.
  • the specific sending method is not limited in this application.
  • the sending period and/or sending timing of these sub-information may be pre-defined, for example, pre-defined according to a protocol, or configured by the transmitting end device by sending configuration information to the receiving end device.
  • the configuration information may include, but is not limited to, radio resource control signaling, such as radio resource control (RRC) signaling, medium access control (MAC) layer signaling, such as MAC-information Element (control element, CE), and physical layer signaling, such as one or a combination of at least two of downlink control information (downlink control information, DCI).
  • RRC radio resource control
  • MAC medium access control
  • CE MAC-information Element
  • DCI downlink control information
  • the Z transmission layers may include the 0th transmission layer to the Z-1th transmission layer.
  • the specific implementation is not limited to this, for example, it can also be numbered consecutively starting from 1.
  • the Z transmission layers may include the 1st transmission layer to the Zth transmission layer, and so on.
  • the “protocols” involved in the embodiments of the present application may refer to standard protocols in the communication field, for example, may include the LTE protocol, the NR protocol, and related protocols applied to future communication systems, which are not limited in this application.
  • At least one refers to one or more, and “multiple” refers to two or more.
  • And/or describes the association relationship of the associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, A and B exist at the same time, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the associated objects before and after are in an “or” relationship.
  • "The following at least one item (a)” or similar expressions refers to any combination of these items, including any combination of a single item (a) or a plurality of items (a).
  • At least one of a, b, and c can mean: a, or, b, or, c, or, a and b, or, a and c, or, b and c, or, a , B, and c.
  • a, b, and c can be single or multiple.
  • the method provided in the embodiments of the present application can be applied to a system that communicates through multi-antenna technology.
  • the communication system 100 shown in FIG. 1. The communication system may include at least one network device and at least one terminal device. Multi-antenna technology can be used to communicate between network equipment and terminal equipment.
  • the method provided in the embodiments of the present application is not limited to the communication between the network device and the terminal device, and can also be applied to the communication between the terminal device and the terminal device.
  • This application does not limit the application scenarios of this method.
  • the interaction between a network device and a terminal device is taken as an example to describe in detail the methods provided in the embodiments of the present application.
  • the embodiments shown below do not specifically limit the specific structure of the execution body of the method provided by the embodiments of the present application, as long as the program that records the code of the method provided by the embodiments of the present application can be executed according to the present application.
  • the method provided in the application embodiment can be used for communication, for example.
  • the execution subject of the method provided in the embodiments of the present application may be a terminal device or a network device, or a functional module in the terminal device or the network device that can call and execute the program.
  • FIG. 2 is a schematic flowchart of a method 200 for processing a precoding matrix provided by an embodiment of the present application from the perspective of device interaction. As shown in FIG. 2, the method 200 may include step 210 to step 260.
  • step 210 the terminal device determines the codebook coefficients of the precoding matrix.
  • the terminal device can estimate the downlink channel based on the received reference signal, and determine the precoding matrix based on the estimated channel matrix.
  • Each row in the precoding matrix may correspond to one antenna port, and each column may correspond to one transmission layer.
  • the dimension of the precoding matrix is the number of ports ⁇ the number of transmission layers.
  • the number of ports here may specifically refer to the number of ports on the sending end (such as a network device).
  • the transmitting antenna of the network device is a transmitting antenna with dual polarization directions, so the number of ports can be recorded as 2T.
  • the number of transmission layers can be denoted as R.
  • the dimension of the precoding matrix is 2T ⁇ R. It can be understood that the precoding matrix is a precoding matrix corresponding to a subband.
  • the precoding matrix is denoted as:
  • the first T row corresponds to the first polarization direction
  • each row in the first T row corresponds to the weight of each port in the first polarization direction
  • the last T row corresponds to the second polarization direction
  • the last T row corresponds to the weight of each port in the first polarization direction.
  • Each row in the row may be a weight corresponding to each port in the second polarization direction.
  • each row in the precoding matrix is a codebook coefficient corresponding to one port.
  • step 220 the terminal device groups the ports corresponding to the precoding matrix to obtain G port groups.
  • the port group corresponding to the precoding matrix is the aforementioned port corresponding to the codebook coefficient.
  • the precoding matrix listed above is taken as an example, and there are 2T ports corresponding to the precoding matrix.
  • the terminal device can group the 2T ports.
  • the terminal device may group 2T ports based on instructions from the network device or predefined rules to obtain G port groups.
  • step 220 specifically includes:
  • Step 2201 The terminal device receives first information from the network device.
  • the first information is used to indicate one or more of the following: the number of port groups G, the number of ports contained in each port group in the G port groups, and G The ports contained in each port group in the port group; and
  • Step 2202 The terminal device groups the ports corresponding to the precoding matrix to obtain G port groups.
  • the network device sends the above-mentioned first information to the terminal device.
  • the terminal device may group the ports according to the first information sent by the network device.
  • the first information can be understood as the port group configuration sent by the network device to the terminal device.
  • the first information is used to indicate the number of port groups G, and the terminal device can divide the 2T ports corresponding to the precoding matrix into G port groups according to the number of port groups G.
  • the network device may only indicate the port group number G.
  • the terminal device can divide the 2T ports into G port groups according to predefined rules.
  • the rule for the terminal device to group 2T ports may be pre-defined by the protocol; or pre-configured in the terminal device. This application does not limit this.
  • the terminal device can determine how the ports are grouped, that is, determine how the port groups are divided.
  • the rule may be, for example, grouping according to the magnitude relationship between the codebook coefficient and the threshold value (for easy distinction and description, for example, the first threshold value).
  • the first threshold value may be, for example, the codebook coefficient (such as amplitude, energy (or power), etc.) corresponding to each port in the space-domain compressed codebook of R15 or the dual-domain compressed codebook of R16, or it may also be It is the wideband amplitude coefficient in the port selection codebook of type II. This application does not limit this.
  • ports whose codebook coefficients (or wideband amplitude coefficients) are greater than or equal to the first threshold value are a group
  • ports whose codebook coefficients (or wideband amplitude coefficients) are greater than or equal to the first threshold value are a group.
  • the terminal device can determine the code of each port according to the average value of the codebook coefficients of the same port in each subband or other statistical values. The relationship between this coefficient and the first threshold value.
  • the specific implementation manner is not limited in this application.
  • the rule may also be, for example, grouping the ports in each polarization direction equally, such as grouping according to the order of port numbers, or grouping according to the magnitude relationship of the codebook coefficients.
  • the network device indicates that the number of port groups G is 2.
  • the terminal device may group ports whose codebook coefficients are greater than or equal to the first threshold value into one group, and group the remaining ports into one group.
  • the first threshold value may be, for example, amplitude, energy (or power), and the like. This application does not limit this.
  • the first threshold value may be, for example, indicated by the network device through signaling, such as indicated by first indication information or other signaling; the first threshold value may also be predefined, such as protocol predefined. This application does not limit this.
  • the terminal device can evenly group 2T ports.
  • the network device indicates that the number of port groups G is 4.
  • the protocol can predefine the rules for port grouping by terminal devices.
  • the rule may be, for example, that the terminal device may equally divide the ports in the first polarization direction into two groups, and divide the ports in the second polarization direction into two groups.
  • the terminal equipment can be grouped according to the size relationship of the codebook coefficient, for example, the first T/2 ports with larger amplitude or power are grouped together, and the remaining T/2 ports are grouped as One group.
  • the terminal device may also arrange the port numbers in order, such as sorting from largest to smallest or from smallest to largest, grouping the first T/2 ports into a group, and the last T/2 ports into a group.
  • the terminal device can also group the first 2T/3 ports with a larger amplitude or power into one group, and group the remaining T/3 ports into one group. This application does not limit the number of ports included in each port group.
  • the terminal device can group the first port into a group when the number of ports 2T is less than (or less than or equal to) the second threshold. The remaining ports are grouped together.
  • the network devices or terminal devices are grouped according to other port group division methods (such as other division methods provided in this application).
  • the terminal device can also select one of the possible division methods from the multiple possible division methods indicated by the network equipment through signaling in advance, or from the pre-defined multiple possible division methods, and group the selected division methods. Report to the network device.
  • the following two division methods can be defined in the configuration information issued by the protocol or network equipment: 1. Ports with an odd number in the same polarization direction are a group, and ports with an even number in the same polarization direction are one. Group, the ports in different polarization directions are in different groups; 2. The port number in the front half of the port in the same polarization direction is a group, and the port number in the port in the same polarization direction is lower in the group. Half of the ports are in a group, and ports in different polarization directions are in different groups. Then the terminal device selects one of the division methods for use, and reports the adopted division method to the network device.
  • the indication of the port group number G by the first information may be an explicit indication, such as indicating the value of a specific port group number G, or an identifier or index corresponding to the value of the port group number G.
  • the indication of the number G of port groups by the first information may also be an implicit indication.
  • the number of port groups G is determined according to the relationship between the number of ports and the threshold value (for easy distinction and description, for example, the third threshold value).
  • the third threshold value may be one or multiple. This application does not limit this.
  • the third threshold value includes N1 and N2, and N1 ⁇ N2.
  • the number of port groups is G1; when the number of ports 2T>N2 (or 2T ⁇ N2), the number of port groups is G2, G2>G1; when the number of ports 2T ⁇ N1( Or when 2T ⁇ N1), no grouping is performed.
  • the multiple possible port group division manners listed above are only examples, and should not constitute any limitation to this application. This application does not limit the number of port groups G and the specific manner in which the terminal device groups the ports.
  • the terminal device may also group ports with odd port numbers into a group, and group ports with even port numbers into a group, and so on.
  • the first information is used to indicate the number of ports included in each port group.
  • the terminal device may group the 2T ports corresponding to the precoding matrix according to the number of ports included in each port group.
  • the network device may also only indicate the number of ports included in each port group.
  • the terminal device can group the 2T ports according to predefined rules.
  • the number of port groups G can be determined by the terminal device itself, for example, according to the number of ports. For example, in combination with the above example, when the number of ports 2T is less than a certain threshold (for example, the third threshold), the 2T ports are grouped into two groups, that is, G is 2; otherwise, the 2T port groups are divided into four Group, that is, G is 4.
  • a certain threshold for example, the third threshold
  • the number of port groups G may also be predefined.
  • the protocol predefines the number of port groups G, or the protocol predefines a rule for determining the number of port groups G.
  • the terminal device can determine the number of port groups G according to the predefined rule, and then divide the 2T ports into G port groups. Since the above has described in detail the specific method for the terminal device to divide the 2T ports into G port groups in combination with multiple examples, for brevity, it is not repeated here.
  • the first information is used to indicate the number of port groups G and the number of ports included in each port group.
  • the terminal device can divide the 2T ports corresponding to the precoding matrix into G port groups according to the number of port groups and the number of ports included in each port group.
  • the network device can indicate the number of port groups G and the number of ports included in each port group.
  • step 220 specifically includes: the terminal device receives first information from the network device, where the first information is used to indicate the ports included in each port group; the terminal device responds to 2T ports according to the first indication information. Group to obtain G port groups.
  • the network device can directly instruct the terminal device how to group the 2T ports.
  • Network devices can indicate the ports included in each port group in many different ways.
  • the indication of the ports included in each port group by the first information may be a character string.
  • the network device can indicate the ports contained in each port group through a character string.
  • the character string may include 2T bits to correspond to 2T ports. Each bit corresponds to a port.
  • the 2T ports can be arranged in sequence according to a preset rule, for example, according to the order of port numbers from small to large or from large to small.
  • the bit corresponding to each port can be used to indicate the port group to which the port belongs.
  • T is 4, 2T ports are 8 ports.
  • the port numbers of the eight ports are 0, 1, 2, 3, 4, 5, 6, and 7, for example.
  • the 8 ports can correspond to the character string "11011101".
  • Port numbers 0, 1, 3, 4, 5, and 7 send ports as a port group, and ports with port numbers 2 and 6 are another port group. It can be seen that while the string is used to indicate the ports included in each port group, it also implicitly indicates the number of port groups G and the number of ports included in each port group.
  • the indication of the ports included in each port group by the first information may be an indication of the way of dividing the port group.
  • the network device can notify the terminal device how to group the 2T ports through an indication corresponding to a certain port group division method.
  • each indication in the table can correspond to a port group division method.
  • the terminal device can group the 2T ports according to the division method.
  • Port group division method 0 [Port a, port b], [port c, port d, port e], [port f, port g] 1 [Port a, port b, port c], [port d, port e], [port f, port g]
  • the network device may indicate at least one of the following through the first information: the number of ports included in each port group, the first port number in each port group, and the last port in each port group. Port numbers.
  • the network device and the terminal device can sort the 2T ports according to the same rule. For example, sort the port numbers in ascending or descending order.
  • This application does not limit the specific rules for this sorting.
  • the ordering method may be negotiated between the two parties, or may also be pre-defined by the agreement, which is not limited in this application.
  • the indication of the ports included in each port group by the first information may be, for example, the number of ports included in each port group and the last port number in each port group.
  • the port numbers of the eight ports can be, for example, eight consecutive port numbers from 0 to 7. If the first information indicates port numbers 0, 4, 6, then it can be determined that the 8 ports can follow the methods of [Port 0], [Port 1 to Port 4], [Port 5 to Port 6], [Port 7] Grouping.
  • the terminal device pre-determined the number of ports as 8, it can be determined that port 7 is separately classified as a port group.
  • the indication of the ports included in each port group by the first information may be, for example, the number of ports in each port group and the first port number.
  • the port numbers of the eight ports can be, for example, eight consecutive port numbers from 0 to 7. If the first information indicates port numbers 0 and 4, and indicates the number of ports in each port group 2, 2.
  • the terminal device can determine that the 8 ports are divided into 2 groups in each polarization direction, and each group includes 2 ports. Terminal devices can be grouped according to [Port 0 and Port 1], [Port 2 and Port 3], [Port 4 and Port 5], [Port 6 and Port 7].
  • the indication of the ports included in each port group by the first information may be, for example, the first port number or the last port number of one of the port groups.
  • the first information may indicate the last port number of the first port group or the first port number of the second port group.
  • the first information indicates that the last port number of the first port group is M1, and the terminal devices can be grouped in the manner of [port 0 to port M1], [port M1+1, port 2T-1].
  • the value of M1 can be less than or equal to 2T-1, or greater than 2T-1. In the case of M1>2T-1, the port numbers exceeding 2T-1 can be counted from port 0.
  • the indication of the ports included in each port group by the first information may be, for example, the first port number and the last port number in each port group.
  • the port numbers of the eight ports can be, for example, eight consecutive port numbers from 0 to 7. If the first information indicates the port numbers (0, 5) and (6, 7), the terminal device can determine that the 8 ports are divided into 2 port groups. Terminal devices can be grouped according to [Port 0 to Port 5], [Port 6 and Port 7].
  • the first information may be carried in high-layer signaling, for example.
  • the high-level signaling may be, for example, an RRC message.
  • the RRC message may specifically be CSI report configuration (CSIReportConfig). That is, the network device may indicate one or more of the following information for each CSI report configuration: the number of port groups G, the number of ports included in each port group, and the ports included in each port group.
  • the first information can be understood as a statically configured port group configuration.
  • the high-level signaling may also be MAC-CE, for example.
  • the MAC-CE may include a cell identity, association information, and the foregoing first information.
  • the associated information is used to indicate the grouping object, or in other words, the configuration object of the first information.
  • the associated information may be, for example, the index of the CSI report configuration.
  • the terminal device may group the ports configured in the CSI reporting configuration associated with the index based on the index of the CSI reporting configuration based on the first information.
  • the first information can be understood as a semi-statically configured port group configuration.
  • the first information may be carried in physical layer signaling.
  • the physical layer signaling may be DCI, for example.
  • the first information can be understood as a dynamically configured port group configuration.
  • the terminal device can group 2T ports by itself to obtain G port groups.
  • the number of port groups G can be predefined, such as protocol predefined.
  • the terminal device can divide 2T ports into G port groups according to predefined rules. The specific process of the terminal device grouping the ports according to the predefined rules has been described in detail above in conjunction with a number of examples. For the sake of brevity, details are not repeated here.
  • the number of port groups G can also be determined by the terminal device.
  • the terminal device After the terminal device groups the 2T ports, it can also report the ports included in each port group to the network device.
  • the method further includes: the terminal device reports the ports included in each port group of the G port groups to the network device.
  • the network device receives an indication of the port included in each port group in the G port groups of the terminal device. After the network device receives the report from the terminal device, it can determine G port groups.
  • the indication of the port included in each port group in the G port groups by the terminal device may be, for example, a character string, or an indication of the port group division method, or the number of ports included in the port group, the first port number, and the last port number. At least one of the port numbers. Since the above three indication methods have been combined with the detailed description of the specific manners of the network equipment indicating the ports included in each port group in the G port groups, the terminal equipment has a detailed description of the ports included in each port group in the G port groups. The specific method of instruction is similar to that, for the sake of brevity, it is not repeated here.
  • step 230 the terminal device performs gain adjustment on the codebook coefficients corresponding to the G port groups.
  • the terminal device may perform gain adjustment on the codebook coefficients corresponding to the G port groups, or perform gain adjustment on the codebook coefficients corresponding to one or more port groups in the G port groups, For example, gain adjustment is performed on the codebook coefficients corresponding to the stronger one or more port groups and/or the weaker one or more port groups.
  • the protocol may not specify the configured gain adjustment coefficient to be used for gain adjustment of the codebook coefficient of which port group.
  • the process in which the terminal device adjusts the codebook coefficients is an internal implementation behavior of the device, which can be implemented by pre-configuring different algorithms or rules. This application does not limit the specific implementation manner of gain adjustment on the terminal device.
  • the first port group includes ports: port 0 to port 5; the second port group includes ports including port 6 and port 7.
  • the second port group is weaker.
  • the precoding vector corresponding to one transmission layer and one subband is expressed as: [v 0 v 1 v 2 v 3 v 4 v 5 v 6 v 7 ] T.
  • the t-th element corresponds to port t, t can be traversed from 0 to 7, and t is an integer.
  • the t-th v t element can be used to represent the codebook coefficient of port t.
  • the codebook coefficients corresponding to the port and the seventh port are smaller than the codebook coefficients of other ports.
  • ports 6 and 7 are grouped into one port group, that is, the above-mentioned second port group; ports 0 to 5 are grouped into one group, that is, the above-mentioned first port group.
  • the first port group is stronger than the second port group, or in other words, the second port group is weaker than the first port group.
  • the terminal device may use different gain adjustment coefficients to adjust the gain of the codebook coefficients corresponding to the G port groups.
  • the codebook coefficient corresponding to the first port group can be a gain adjustment coefficient 1
  • the codebook coefficient corresponding to the second port group can be a gain adjustment coefficient greater than 1, so as to change the codebook coefficient corresponding to the second port group. This factor is magnified.
  • the gain adjustment coefficient used for the codebook coefficient corresponding to the second port group is ⁇ , ⁇ >1.
  • the codebook coefficients corresponding to each port group in the aforementioned precoding vector can be expressed as [v 0 v 1 v 2 v 3 v 4 v 5 ⁇ v 6 ⁇ v 7 ] T after gain adjustment.
  • the gain adjustment coefficient 1 is adopted for the codebook coefficient corresponding to the first port group, it can also be understood that only the codebook coefficient corresponding to the second port group is gain adjusted.
  • the codebook coefficient corresponding to the first port group may use a gain adjustment coefficient less than 1, and the codebook coefficient corresponding to the second port group may use a gain adjustment coefficient of 1, so as to change the codebook coefficient corresponding to the first port group.
  • the codebook coefficient is reduced.
  • the precoding vector can be expressed as [ ⁇ v 0 ⁇ v 1 ⁇ v 2 ⁇ v 3 ⁇ v 4 ⁇ v 5 v 6 v 7 ] T after gain adjustment.
  • the gain adjustment coefficient 1 is adopted for the codebook coefficient corresponding to the second port group, it can also be understood that only the codebook coefficient corresponding to the first port group is gain adjusted. For another example, a gain adjustment coefficient less than 1 may be used for the codebook coefficient corresponding to the first port group, and a gain adjustment coefficient greater than 1 may be used for the codebook coefficient corresponding to the second port group.
  • the gain adjustment coefficient used for the codebook coefficient corresponding to the first port group is ⁇ , ⁇ 1; the gain adjustment coefficient used for the codebook coefficient corresponding to the second port group is ⁇ , ⁇ >1.
  • the precoding vector can be expressed as [ ⁇ v 0 ⁇ v 1 ⁇ v 2 ⁇ v 3 ⁇ v 4 ⁇ v 5 ⁇ v 6 ⁇ v 7 ] T after gain adjustment.
  • a gain adjustment coefficient less than 1 can also be set.
  • the codebook coefficient can be divided by the gain adjustment coefficient to obtain the port
  • the codebook coefficients of one group are enlarged. For the sake of brevity, I will not illustrate them one by one.
  • the codebook coefficient corresponding to the first port group is reduced, compared with the codebook coefficient of the second port group, the gap between the codebook coefficients of the two is reduced; the second port group The corresponding codebook coefficients are enlarged, and the gap between the codebook coefficients of the two is reduced compared to the first port group. Therefore, it can be considered that reducing the codebook coefficient corresponding to the first port group has the same effect as enlarging the codebook coefficient corresponding to the second port group.
  • each column vector therein is adjusted for gain in the manner described above, and independent grouping and gain can be performed between multiple transmission layers. Adjustment. In other words, the gain adjustment and quantization between multiple transmission layers can be independent of each other. For the sake of brevity, no examples are given here.
  • the gain adjustment coefficient used by the terminal device to adjust the codebook coefficients may be determined by the terminal device itself, or may be notified by the network device through signaling in advance, which is not limited in this application.
  • the network device may send the gain adjustment coefficient to the terminal device through signaling in advance.
  • step 230 specifically includes: the terminal device receives one or more gain adjustment coefficients from the network device; and performs gain adjustment on the codebook coefficients corresponding to the G port groups according to the one or more gain adjustment coefficients.
  • the network device sends one or more gain adjustment coefficients to the terminal device.
  • the gain adjustment coefficient sent by the network device to the terminal device can be one-to-one corresponding to the G port groups; it can also be multiple candidate values of the gain adjustment coefficient, and the terminal device determines which one or more gains to use. Adjust the coefficient, and report the used gain adjustment coefficient to the network device.
  • the method further includes: the terminal device reports the used one or more gain adjustment coefficients to the network device.
  • the terminal device may pre-store multiple gain adjustment coefficients.
  • both the terminal device and the network device store multiple gain adjustment coefficients in advance.
  • the terminal device can select one or more gain adjustment coefficients from them to adjust the gain of the codebook coefficients corresponding to the G port groups.
  • step 230 specifically includes: the terminal device performs gain adjustment on the codebook coefficients corresponding to the G port groups based on one or more pre-stored gain adjustment coefficients.
  • the method further includes: the terminal device reports the used one or more gain adjustment coefficients to the network device.
  • the indication of the gain adjustment coefficient may be, for example, an index corresponding to the gain adjustment coefficient.
  • the network device and the terminal device may, for example, pre-store multiple mapping relationships between gain adjustment coefficients and indexes, and the corresponding gain adjustment coefficients can be indicated by indicating the indexes.
  • the following table shows an example of the gain adjustment coefficient and its corresponding index.
  • indicating the gain adjustment coefficient by the index corresponding to the gain adjustment coefficient is only one possible implementation manner, and should not constitute any limitation to the application.
  • the magnitude of the gain adjustment coefficient can also be directly adjusted. This application does not limit the specific indication method of the gain adjustment coefficient.
  • the terminal device may not perform gain adjustment, so there is no need to report the gain adjustment coefficient to the port group.
  • the gain adjustment coefficient is only a name defined for ease of description, and should not constitute any limitation in this application.
  • the gain adjustment coefficient may also be referred to as a scaling coefficient, a correction coefficient, and so on. This application does not limit this.
  • step 240 the terminal device performs quantization processing on the codebook coefficients after gain adjustment.
  • the terminal device may perform quantization processing based on the codebook coefficients after gain adjustment in step 230.
  • Step 240 will be described in detail below in combination with two different codebook feedback methods.
  • the terminal device can perform spatial compression on the wideband precoding vector on each transmission layer to obtain codebook coefficients that can approximately characterize the precoding vector.
  • the codebook coefficients that can be used to approximate the precoding vector are the quantized codebook coefficients.
  • the precoding vector corresponding to one transmission layer and one subband is taken as an example to illustrate the codebook coefficients corresponding to each port group and the process of compressing the codebook coefficients corresponding to each port group.
  • the specific form of the precoding vector corresponding to one transmission layer and one subband may be, for example, [v 0 v 1 v 2 v 3 v 4 v 5 v 6 v 7 ] T listed above. It should be understood that this is only an example for ease of understanding, and should not constitute any limitation to the application.
  • each precoding matrix can include codebook coefficients corresponding to 2T ports. There can be multiple codebook coefficients corresponding to each port, such as R.
  • the gain-adjusted precoding vector obtained after gain adjustment on the wideband precoding vector is [v 0 v 1 v 2 v 3 v 4 v 5 ⁇ v 6 ⁇ v 7 ] T.
  • the precoding vector includes codebook coefficients corresponding to 2T ports. Therefore, performing gain adjustment on the precoding vector means performing gain adjustment on the codebook coefficients corresponding to the 2T ports, and the obtained precoding vector after gain adjustment also includes the codebook coefficients after gain adjustment.
  • the precoding vector after the gain adjustment can be compressed in the space domain.
  • the spatial compression of the gain-adjusted precoding vector can be implemented, for example, by discrete Fourier transform (DFT) or discrete cosine transform (DCT).
  • the terminal device can project the gain-adjusted precoding vector to the spatial DCT base.
  • the first L DCT The vector and its corresponding linear superposition coefficient are used as the quantized codebook coefficient, and the linear superposition coefficient of the L DCT vectors can be reported.
  • the number L of DCT vectors can also be reported.
  • the terminal device can select at least one spatial vector whose total energy proportion does not exceed ⁇ and its corresponding linear superposition coefficient as the quantized code according to the DCT energy limit ⁇ indicated to the network device. This coefficient is reported.
  • the linear superposition coefficient described herein may specifically refer to a broadband amplitude coefficient.
  • the quantized codebook coefficients determined by the terminal device are not limited to the aforementioned at least one spatial vector and its corresponding wideband amplitude coefficient.
  • the terminal device may further determine the subband amplitude coefficient and subband phase coefficient corresponding to each subband through the precoding vector of the subband.
  • the sub-band amplitude coefficient and sub-band phase coefficient corresponding to each sub-band can also be understood as a part of the linear superposition coefficient.
  • the wideband amplitude coefficients involved in the following text can all be understood as a kind of linear superposition coefficient. In the following, for brevity, descriptions of the same or similar situations are omitted.
  • the gain adjustment involved in the embodiments of the present application mainly involves the determination of the broadband spatial vector and the broadband amplitude coefficient. However, it is not ruled out that gain adjustment is performed on the precoding vector of the subband in the process of determining the subband amplitude coefficient and the subband phase coefficient. The specific operation of performing gain adjustment on the precoding vector of the subband is similar to that described above. For brevity, it will not be repeated here.
  • DFT and DCT are only a possible implementation for spatial compression of codebook coefficients, and should not constitute any limitation to this application.
  • This application does not limit the specific implementation manner of the terminal device compressing the codebook coefficients.
  • examples are not described here.
  • the specific process of airspace compression described above is only an example, and should not constitute any limitation to this application.
  • the specific method for the terminal device to perform spatial compression based on the codebook coefficients in the precoding matrix belongs to the internal implementation behavior of the device, and can be implemented based on different pre-configured algorithms.
  • the terminal device may generate the second information according to the quantization of the codebook coefficients after the gain adjustment.
  • the second information may be used to indicate the codebook coefficients corresponding to the gain adjustment.
  • the terminal device can generate the at least one spatial vector, at least one frequency Indication information of a domain vector, at least one wideband amplitude coefficient, and at least one subband amplitude coefficient and at least one subband phase coefficient corresponding to each subband.
  • the terminal device may indicate the at least one airspace vector through an index, for example, indicating an index corresponding to each airspace vector, or indicating an index corresponding to a combination of at least one airspace vector; the terminal;
  • the device may also indicate the size of the at least one linear superimposition coefficient through a quantized value.
  • the specific method for the terminal device to indicate the above at least one spatial vector, at least one wideband amplitude coefficient, and at least one subband amplitude coefficient and at least one subband phase coefficient corresponding to each subband can refer to the prior art, for example, refer to the relevant description in R15 , For the sake of brevity, I will not elaborate here.
  • the terminal device completes the quantization of the codebook coefficients after gain adjustment.
  • the terminal device can combine the precoding vectors of multiple subbands on the same transmission layer and perform dual-domain compression to obtain a code that can approximately characterize the precoding vectors of the multiple subbands.
  • the codebook coefficients that can be used to approximate the precoding vector are the quantized codebook coefficients.
  • the codebook coefficients that can be used to approximate the precoding vector are the quantized codebook coefficients.
  • the precoding vectors corresponding to one transmission layer and multiple subbands are used to illustrate the codebook coefficients corresponding to each port group and the process of compressing the codebook coefficients corresponding to each port group.
  • each column in the space-frequency matrix may correspond to a precoding vector of one transmission layer and one sub-band. Therefore, each element in the space-frequency matrix is a codebook coefficient corresponding to a port. More specifically, the t-th row in the space-frequency matrix may be codebook coefficients corresponding to the 3 subbands of ports t and N.
  • the element v t,n represents the codebook coefficient corresponding to port t in the precoding vector corresponding to subband n, t can be traversed from 0 to 7, and n can be traversed from 1 to N 3 -1. Value, and both t and n are integers.
  • the space-frequency matrix after gain adjustment can be obtained as follows:
  • each column in the space-frequency matrix corresponds to a precoding vector of one subband, and each precoding vector includes codebook coefficients corresponding to 2T ports. Therefore, the gain adjustment is performed on the space frequency matrix, that is, the gain adjustment is performed on each codebook coefficient in the space frequency matrix.
  • the obtained space-frequency matrix after gain adjustment also includes the codebook coefficients after gain adjustment.
  • the space-frequency matrix after the gain adjustment can be compressed in the space domain and the frequency domain respectively.
  • the dual-domain compression of the space-frequency matrix after the gain adjustment can be implemented, for example, by discrete Fourier transform (DFT) or discrete cosine transform (DCT).
  • DFT discrete Fourier transform
  • DCT discrete cosine transform
  • the terminal device can project the space-frequency matrix after gain adjustment to the space-domain DFT base and the frequency-domain DFT base.
  • the terminal device can select L from the spatial DFT base according to the indication of the number of feedbacks to the spatial vector (for example, L) and the indication of the number of feedbacks to the frequency domain vector (for example, M, M ⁇ 1 and an integer). Select M strong frequency-domain vectors from the frequency-domain DFT base.
  • the terminal device determines at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient to be fed back.
  • each linear superposition coefficient can correspond to a space-domain vector and a frequency-domain vector, and the at least one space-frequency vector, at least one frequency-domain vector and its corresponding linear superposition coefficient can be used to approximate the aforementioned space-frequency matrix.
  • the at least one spatial vector, at least one frequency vector, and one or more linear superposition coefficients obtained by projecting the gain-adjusted space-frequency matrix onto the spatial DFT base and the frequency-domain DFT base are different from those obtained without gain adjustment.
  • At least one spatial vector, at least one frequency vector, and at least one linear superposition coefficient obtained by projecting the space-frequency matrix of, onto the spatial DFT base and the frequency domain DFT base are different.
  • DFT and DCT are only a possible implementation for dual-domain compression of codebook coefficients, and should not constitute any limitation to this application.
  • This application does not limit the specific implementation manner of the terminal device compressing the codebook coefficients.
  • R16 for the sake of brevity, no further examples are given here.
  • the specific process of the above-mentioned dual-domain compression is only an example for ease of understanding, and should not constitute any limitation to this application.
  • the specific way that the terminal device performs dual-domain compression based on the codebook coefficients in the precoding matrix belongs to the internal implementation behavior of the device, and can be implemented based on different pre-configured algorithms.
  • the terminal device may generate the second information according to the quantization of the codebook coefficients after the gain adjustment.
  • the second information may be used to indicate the codebook coefficients corresponding to the gain adjustment.
  • the terminal device can generate the at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient.
  • the indication information of the coefficient can be generated.
  • the terminal device may indicate the at least one spatial domain vector and the at least one frequency domain vector through an index, for example, an index corresponding to each spatial vector or each frequency domain vector, or, The index corresponding to the combination of at least one spatial domain vector, and the index corresponding to the combination of at least one frequency domain vector, etc.; the terminal device may also indicate the size of the at least one linear superposition coefficient through a quantized value, and set the at least one The corresponding relationship between the linear superposition coefficient and the spatial vector and the frequency vector is indicated by a bitmap.
  • the specific method for the terminal device to indicate the above-mentioned at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient can refer to the prior art. For example, refer to the related description in TS38.214 R16. For brevity, it will not be detailed here.
  • the terminal device completes the quantization of the codebook coefficients after gain adjustment.
  • the gain adjustment coefficient used by the terminal device for gain adjustment of the codebook coefficients corresponding to the same port group may be one or more. This application does not limit this.
  • the terminal device performs gain processing on all the codebook coefficients corresponding to one port group based on the same gain adjustment coefficient.
  • All the codebook coefficients mentioned here may specifically refer to the codebook coefficients corresponding to the port group and corresponding to multiple subbands included in the measurement bandwidth.
  • the terminal device can adjust the codebook coefficients corresponding to the same port group and different subbands based on different gain adjustment coefficients. Make gain adjustments. For example, for codebook coefficients corresponding to the same port group, the measurement bandwidth can be divided into multiple subband groups, and each subband group can be adjusted based on the same gain adjustment coefficient, and different subband groups can be based on different gains. Adjust the coefficient to adjust the gain.
  • the method further includes step 250: the terminal device sends second information, where the second information is used to indicate the quantized codebook coefficients for determining the precoding matrix.
  • the network device receives the second information.
  • the second information may be information contained in PMI, or may be PMI, for example. Further, the second information may be carried in a CSI report, for example.
  • the CSI report can be carried on the physical uplink resource and transmitted to the network device.
  • the physical uplink resource may be, for example, a physical uplink control channel (PUCCH) resource or a physical uplink shared channel (PUSCH) resource. This application does not limit this.
  • the method further includes step 260: the network device determines a precoding matrix according to the second information.
  • the quantized codebook coefficients indicated by the above second information can be used to construct a precoding matrix.
  • the process of constructing the precoding matrix by the network device according to the second information will be described in detail below in combination with the above two feedback methods.
  • the network device can first determine the corresponding at least one spatial vector, at least one wideband amplitude coefficient, and at least one subband amplitude coefficient corresponding to each subband according to the received second information. And at least one subband phase coefficient. Then, the precoding vector of each subband can be restored according to the corresponding relationship between each linear superposition coefficient and the spatial vector.
  • the codebook coefficients used by the terminal device for compression are gain-adjusted codebook coefficients
  • the codebook coefficients recovered by the network device based on the second information are also the same or similar to the codebook coefficients after gain adjustment.
  • the network device may further recover the codebook coefficients that have not undergone gain adjustment according to the gain adjustment coefficient.
  • the network equipment needs to determine the gain adjustment coefficient in advance.
  • the gain adjustment coefficients used by the terminal equipment to adjust the codebook coefficients can be indicated by the network equipment in advance through signaling, or the terminal equipment reports to the network equipment, so the network equipment can predetermine G The gain adjustment coefficient of the port group.
  • the network device can restore the codebook coefficients without gain adjustment based on an operation corresponding to the gain adjustment of the terminal device.
  • the codebook coefficient corresponding to each port group is multiplied by the gain adjustment coefficient, and the network device can divide by the gain adjustment coefficient when restoring the codebook coefficient of the port group.
  • the codebook coefficient corresponding to each port group is divided by the gain adjustment coefficient, and the network device can multiply the gain adjustment coefficient when restoring the codebook coefficient corresponding to the port group.
  • the precoding vector can be expressed as [v 0 v 1 v 2 v 3 v 4 v 5 ⁇ v 6 ⁇ v 7 ] T after gain adjustment, which is determined by the network device according to the feedback of the second information
  • the codebook coefficient of can be expressed as [v 0 'v 1 ' v 2 'v 3 ' v 4 'v 5 ' ( ⁇ v 6 )'( ⁇ v 7 )'] T. Since the codebook coefficients fed back by the terminal device through the second information are compressed codebook coefficients, the network device determines the codebook coefficients corresponding to each port group based on the second information and the codebook coefficients determined by the terminal device measurement. It may be the same or similar. In order to facilitate the distinction, the codebook coefficient determined by the network device and the codebook coefficient determined by the terminal device are distinguished by the superscript "'".
  • the network device may further determine the codebook coefficient without gain adjustment based on the codebook coefficient after the gain adjustment determined by the second information.
  • the codebook coefficients determined by the network device without gain adjustment can be expressed as [v 0 'v 1 ' v 2 'v 3 ' v 4 'v 5 ' ( ⁇ v 6 )'/ ⁇ ( ⁇ v 7 )'/ ⁇ ] T. Therefore, the network device determines the codebook coefficients that have not undergone gain adjustment.
  • the network device can further determine that the precoding vector corresponding to a transmission layer and a subband is among them, Is the normalization coefficient, >0.
  • this application since this application does not limit the specific operation of the terminal device to adjust the gain of the codebook coefficient corresponding to each port group based on the gain adjustment coefficient, this application restores the code corresponding to each port group based on the gain adjustment coefficient for the network device.
  • the specific operation of this coefficient is also not limited.
  • the network device can determine the precoding vector corresponding to each transmission layer and each subband. Thereafter, the network device may determine the precoding matrix corresponding to each subband based on the precoding vector corresponding to each transmission layer and each subband.
  • the precoding vector corresponding to the rth transmission layer and the nth subband is denoted as w r,n , then the precoding matrix corresponding to the nth subband can be expressed as: among them Is the normalization coefficient,
  • the network device may directly determine the precoding matrix corresponding to each subband according to the codebook coefficients corresponding to each subband on the multiple transmission layers.
  • the process for the network device to determine the precoding matrix based on the second information can refer to the prior art, for example, refer to the related description in R15. For brevity, it will not be detailed here.
  • the network device may first determine the corresponding at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient according to the received second information. Then, the space-frequency matrix is restored according to the correspondence between each linear superposition coefficient and the spatial vector and the frequency domain vector.
  • the space-frequency matrix used by the terminal device for compression is the space-frequency matrix after gain adjustment
  • the space-frequency matrix recovered by the network device based on the second information is also the same or similar to the space-frequency matrix after gain adjustment.
  • the network device may further recover the space-frequency matrix without gain adjustment according to the gain adjustment coefficient.
  • the space-frequency matrix without gain adjustment is the space-frequency matrix determined by the terminal device based on the precoding matrix to be reported.
  • the network equipment needs to determine the gain adjustment coefficient in advance.
  • the gain adjustment coefficients used by the terminal equipment to adjust the codebook coefficients can be indicated by the network equipment in advance through signaling, or the terminal equipment reports to the network equipment, so the network equipment can predetermine G The gain adjustment coefficient of the port group.
  • the network device can restore the space-frequency matrix without gain adjustment based on an operation corresponding to the gain adjustment of the terminal device.
  • the codebook coefficient corresponding to each port group is multiplied by the gain adjustment coefficient, and the network device can divide by the gain adjustment coefficient when restoring the codebook coefficient of the port group.
  • the codebook coefficient corresponding to each port group is divided by the gain adjustment coefficient, and the network device can multiply the gain adjustment coefficient when restoring the codebook coefficient corresponding to the port group.
  • the space frequency matrix after gain adjustment can be expressed as
  • the codebook coefficient determined by the network device according to the feedback of the second information can be expressed as Since the codebook coefficients fed back by the terminal device through the second information are compressed codebook coefficients, the network device determines the codebook coefficients corresponding to each port group based on the second information and the codebook determined by the terminal device measurement. The coefficients may be the same or similar. In order to facilitate the distinction, the codebook coefficient determined by the network device and the codebook coefficient determined by the terminal device are distinguished by the superscript "'".
  • the network device may further determine the codebook coefficient after gain adjustment determined by the second information.
  • the codebook coefficients determined by the network equipment without gain adjustment can be expressed as
  • the network device may further determine the precoding vector corresponding to one transmission layer and one subband. For example, the precoding vector corresponding to a transmission layer and the nth subband can be among them, Is the normalization coefficient,
  • this application does not limit the specific operation of the terminal device to adjust the gain of the codebook coefficients corresponding to each port group based on the gain adjustment coefficients, this application does not limit the network equipment to recover the codebook coefficients corresponding to each port group based on the gain adjustment coefficients.
  • the specific operation is also not limited.
  • the network device can recover the space-frequency matrix without gain adjustment.
  • the network device can recover the precoding vector of each subband according to the space-frequency matrix without gain adjustment, and then determine the precoding matrix of each subband.
  • the space-frequency matrix corresponding to the rth transmission layer is Then the precoding matrix corresponding to the nth subband can be expressed as: Where w r,n represents the precoding vector corresponding to the nth subband of the rth transmission layer; Is the normalization coefficient.
  • the concept of space-frequency matrix is introduced to facilitate understanding.
  • the space-frequency matrix is also determined by multiple precoding vectors, which can be understood as a precoding matrix in the frequency domain.
  • This application does not limit the specific form of the precoding matrix.
  • other names are used to define the same or similar matrix as the space frequency matrix.
  • the network device determines that the precoding matrix belongs to the internal implementation behavior of the device according to the third information, and can be implemented based on different pre-configured algorithms. This application does not limit the specific manner in which the network device determines the precoding matrix according to the third information.
  • the gain adjustment coefficient used by the terminal device for gain adjustment of the codebook coefficients corresponding to the same port group may be one or more. If the terminal device can adjust the gain of the codebook coefficients corresponding to the same port group and different subbands based on different gain adjustment coefficients, when the network device restores the precoding matrix, it also needs to be based on the code corresponding to each subband. This coefficient is a gain adjustment coefficient corresponding to different subbands to restore the precoding vector without gain adjustment.
  • the terminal device performs gain adjustment on the codebook coefficients before quantizing the codebook coefficients of the precoding matrix, so that when the energy distribution of the ports differs greatly, the codebook coefficients of some ports can be amplified , And/or, reduce the codebook coefficients of another part of the ports to reduce the energy distribution difference between the ports, so as to avoid the loss of codebook feedback accuracy of some ports caused by the loss of the codebook coefficients of some ports in the quantization process.
  • the network device may obtain the codebook coefficients of each port before the gain adjustment by operating opposite to the terminal device side in the process of restoring the precoding matrix according to the gain adjustment coefficient used for gain adjustment.
  • the codebook coefficients corresponding to different port groups are adjusted by different gain adjustment coefficients by grouping ports, which is convenient for terminal equipment and network equipment to determine the corresponding relationship between each port and gain adjustment coefficient, which is conducive to the accuracy of network equipment.
  • the precoding matrix processing method provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • FIG. 3 is a schematic flowchart of a method 300 for processing a precoding matrix provided by another embodiment of the present application. As shown in FIG. 3, the method 300 may include step 310 to step 350.
  • step 310 the terminal device determines the codebook coefficients of the precoding matrix.
  • step 320 the terminal device groups the ports corresponding to the precoding matrix to obtain G port groups.
  • step 310 and step 320 are the same as the specific processes of step 210 and step 220 in the above method 200, and reference may be made to the related description of step 210 and step 220 above. For the sake of brevity, I will not repeat it here.
  • step 330 the terminal device respectively quantizes the codebook coefficients corresponding to each of the G port groups.
  • the first port group includes ports: port 0 to port 5; the second port group includes ports including port 6 and port 7.
  • the terminal device can separately compress the codebook coefficients corresponding to the first port group and the codebook coefficients corresponding to the second port group.
  • the corresponding codebook coefficients can be the first six rows of codebook coefficients in the precoding matrix; the second port group includes ports 6 and 7, corresponding to The codebook coefficients may be the last two rows of codebook coefficients in the precoding matrix.
  • the following describes the specific process of respectively compressing the codebook coefficients corresponding to a port group and a second port in combination with different codebook feedback methods.
  • the terminal device can perform spatial compression on the wideband precoding vector on each transmission layer to obtain codebook coefficients that can approximately characterize the precoding vector.
  • the codebook coefficients that can be used to approximate the precoding vector are the quantized codebook coefficients.
  • the precoding vector corresponding to one transmission layer and one subband is taken as an example to illustrate the codebook coefficients corresponding to each port group and the process of compressing the codebook coefficients corresponding to each port group.
  • the specific form of the precoding vector corresponding to one transmission layer and one subband may be, for example, [v 0 v 1 v 2 v 3 v 4 v 5 v 6 v 7 ] T listed above. It should be understood that this is only an example for ease of understanding, and should not constitute any limitation to the application.
  • each precoding matrix can include codebook coefficients corresponding to 2T ports. There can be multiple codebook coefficients corresponding to each port, such as R.
  • the codebook coefficients corresponding to the first port group include v 0 , v 1 , v 2 , v 3 , v 4 , v 5 , Construct a vector [v 0 v 1 v 2 v 3 v 4 v 5 ] T ;
  • the codebook coefficients corresponding to the first port group include v 6 and v 7 , and a vector [v 6 v 7 ] T can be constructed.
  • the vector of codebook coefficient structure corresponding to the first port group is recorded as the first vector
  • the vector of codebook coefficient structure corresponding to the second port group is recorded as the second vector.
  • the terminal device can respectively compress the first vector and the second vector to obtain quantized codebook coefficients.
  • the specific process of the terminal device respectively compressing the first vector and the second vector is similar to the specific process of compressing the codebook coefficients after gain adjustment in the method 200 above. It should be noted that since the number of ports in the first port group and the number of ports in the second port group are not necessarily the same, the dimensions of the first vector and the second vector are not necessarily the same. In the compression process, it is necessary to select the spatial base of the corresponding dimension and compress the codebook coefficients to obtain the quantized codebook coefficients. Since the specific process of airspace compression has been described in detail in the above method 200, for the sake of brevity, it will not be repeated here.
  • the terminal device may generate the third information according to the quantization of the codebook coefficients corresponding to each port group.
  • the third information may be used to indicate the quantized codebook coefficients corresponding to each of the G port groups.
  • the terminal device may generate the at least one spatial vector, at least one wideband amplitude coefficient, and at least one subband amplitude coefficient and subband phase coefficient corresponding to the subband based on the at least one spatial vector, at least one broadband amplitude coefficient obtained by compressing the first vector.
  • Broadband amplitude coefficients and indication information of at least one subband amplitude coefficient and subband phase coefficient corresponding to the subband where the indication information is used to indicate the quantized codebook coefficient corresponding to the first port group; and may be based on the At least one spatial vector obtained by the two-vector compression, at least one wideband amplitude coefficient, and at least one subband amplitude coefficient and subband phase coefficient corresponding to the subband indication information, where the indication information is used to indicate that it corresponds to the second port group
  • the terminal device may report the quantized codebook coefficients corresponding to the two port groups to the network device in the same signaling.
  • the two indication information may be, for example, two information elements in the same signaling.
  • the above method 200 also exemplifies possible implementations in which the terminal device indicates the above-mentioned at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient. For the sake of brevity, it will not be repeated here. This application does not limit the specific manner in which the terminal device indicates the quantized codebook coefficients corresponding to the two port groups.
  • the terminal device completes the quantization of the codebook coefficients corresponding to the two port groups respectively.
  • the terminal device can combine the precoding vectors of multiple subbands on the same transmission layer and perform dual-domain compression to obtain a code that can approximately characterize the precoding vectors of the multiple subbands.
  • the codebook coefficients that can be used to approximate the precoding vector are the quantized codebook coefficients.
  • the precoding vectors corresponding to one transmission layer and multiple subbands are used to illustrate the codebook coefficients corresponding to each port group and the process of compressing the codebook coefficients corresponding to each port group.
  • the space-frequency matrix corresponding to one transmission layer can be obtained as shown below:
  • the codebook coefficients corresponding to the first port group include the elements of the first six rows in the space-frequency matrix, and the matrix can be constructed
  • the codebook coefficients corresponding to the second port group include the elements of the last two rows in the space-frequency matrix, and the matrix can be constructed
  • the matrix constructed by the codebook coefficients corresponding to the first port group is denoted as the first matrix
  • the matrix constructed by the codebook coefficients corresponding to the second port group is denoted as the second matrix.
  • the terminal device may respectively compress the first matrix and the second matrix to obtain quantized codebook coefficients.
  • the specific process of the terminal device respectively compressing the first vector and the second vector is similar to the specific process of compressing the codebook coefficients after gain adjustment in the method 200 above. It should be noted that since the number of ports in the first port group and the number of ports in the second port group are not necessarily the same, the dimensions of the first matrix and the second matrix are not necessarily the same. In the compression process, the spatial base of the corresponding dimension needs to be selected (it is understandable that the dimensions of the first matrix and the second matrix are transformed in the spatial domain, but the dimension in the frequency domain remains unchanged, which is still N 3 -1 ) To compress the codebook coefficients to obtain quantized codebook coefficients. Since the specific process of dual-domain compression has been described in detail in the above method 200, for the sake of brevity, it will not be repeated here.
  • the terminal device may generate the third information according to the quantization of the codebook coefficients corresponding to each port group.
  • the third information may be used to indicate the quantized codebook coefficients corresponding to each of the G port groups.
  • the terminal device may generate the at least one spatial vector, at least one frequency domain vector, and at least one spatial domain vector, at least one frequency domain vector, and at least one spatial domain vector, at least one frequency domain vector, and at least one linear superposition coefficient obtained by compressing the first matrix.
  • Indication information of a linear superposition coefficient which is used to indicate the quantized codebook coefficient corresponding to the first port group; and may be based on at least one spatial vector and at least one frequency domain vector obtained by compressing the second matrix
  • at least one linear superposition coefficient generating indication information for the at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient, where the indication information is used to indicate the quantized codebook coefficient corresponding to the second port group .
  • the terminal device may report the quantized codebook coefficients corresponding to the two port groups to the network device in the same signaling.
  • the indication information of the quantized codebook coefficients corresponding to the two port groups generated by the terminal device may become the third information, for example.
  • the third information may include, for example, two information elements, which correspond to two port groups respectively.
  • the above method 200 also exemplifies possible implementations in which the terminal device indicates the foregoing at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient. For brevity, it will not be repeated here. This application does not limit the specific manner in which the terminal device indicates the quantized codebook coefficients corresponding to the two port groups.
  • the terminal device completes the quantization of the codebook coefficients corresponding to the two port groups respectively.
  • the terminal device can also divide 2T ports into more port groups, and correspond to each port group.
  • the codebook coefficients of are compressed to obtain the quantized codebook coefficients corresponding to each port group.
  • the method further includes step 340: the terminal device sends third information, where the third information is used to indicate the quantized codebook coefficients for determining the precoding matrix.
  • the network device receives the third information.
  • the third information may be information contained in PMI, or may be PMI, for example. Further, the third information may be carried in a CSI report, for example.
  • the third information and the second information in the above method 200 can be understood as the same type of information. Since the codebook coefficients corresponding to each port group in the precoding matrix are quantized differently, the indicated information may also be possible. They are different, so they are distinguished by different names. For the specific process of step 340, reference may be made to the related description of step 250 in the method 200 above, and for the sake of brevity, it will not be repeated here.
  • the method further includes: the terminal device reports one or more gain adjustment coefficients to the network device, and the one or more gain adjustment coefficients may be used to indicate the weight relationship between the codebook coefficients corresponding to multiple port groups.
  • the network device receives the one or more gain adjustment coefficients from the terminal device. Furthermore, the network device may determine the precoding matrix according to the one or more gain adjustment coefficients.
  • the energy difference between the multiple port groups can be characterized by, for example, the weight ratio relationship between the codebook coefficients corresponding to the multiple port groups, and the codebook coefficients corresponding to the multiple port groups are different from each other.
  • the proportional relationship between the weights can be represented by one or more of the above-mentioned gain adjustment coefficients.
  • the method further includes step 350: the network device determines a precoding matrix according to the third information.
  • the quantized codebook coefficients indicated by the third information can be used to construct a precoding matrix.
  • the process of determining the precoding matrix by the network device according to the third information will be described in detail in combination with the above two codebook feedback methods.
  • the network device can first determine at least one spatial vector corresponding to the first port group, at least one wideband amplitude coefficient, and at least one corresponding to each subband according to the received third information. Subband amplitude coefficient and at least one subband phase coefficient, and at least one spatial vector corresponding to the second port group, at least one wideband amplitude coefficient, and at least one subband amplitude coefficient and at least one subband phase corresponding to each subband coefficient. Then, the codebook coefficient corresponding to each port group can be determined according to the corresponding relationship between each linear superposition coefficient and the space vector, and the precoding vector corresponding to each subband can be constructed according to the order of each port group in the 2T ports.
  • the codebook coefficient corresponding to the first port group is [v 0 'v 1 '... v 5 '] T , which is composed of at least one spatial vector corresponding to the first port group, at least one wideband amplitude coefficient, and At least one sub-band amplitude coefficient and at least one sub-band phase coefficient corresponding to each sub-band
  • the codebook coefficient corresponding to the second port group can be determined to be [v 6 'v 7 '] T , v 7 '.
  • the network device determines the codebook coefficients corresponding to each port group based on the third information and the codebook coefficients determined by the terminal device measurement. It may be the same or similar. In order to facilitate the distinction, the codebook coefficient determined by the network device and the codebook coefficient determined by the terminal device are distinguished by the superscript "'".
  • the terminal device may further report one or more gain adjustment coefficients to the network device to characterize the energy difference between multiple port groups.
  • the terminal device determines that the ratio of the codebook coefficients corresponding to the first port group and the second port group is ⁇ :1
  • the terminal device can report the difference between the first port group and the second port group.
  • the gain adjustment coefficients corresponding to the groups are ⁇ and 1, or the terminal device may only report ⁇ .
  • the specific method for the terminal device to report the gain adjustment coefficient is similar to the specific method for the network device to indicate the gain adjustment coefficient or the specific method for the terminal device to report the gain adjustment coefficient in the above method 200. For the sake of brevity, it will not be repeated here.
  • the network device may construct a precoding vector corresponding to the subband based on the determined codebook coefficient corresponding to each port group and the gain adjustment coefficient reported by the terminal device. For example, from the above codebook coefficients v 0 ', v 1 ', v 2 ', v 3 ', v 4 ', v 5 'corresponding to the first port group, and the codebook coefficient v corresponding to the second port group 6 ', v 7 ', and the gain adjustment coefficients ⁇ and 1 reported by the terminal equipment, the precoding vector is constructed as follows: among them, Is the normalization coefficient,
  • the network device can determine the precoding vector corresponding to each transmission layer and each subband. Thereafter, the network device may determine the precoding matrix corresponding to each subband based on the precoding vector corresponding to each transmission layer and each subband.
  • the specific method for the network device to determine the precoding matrix of each subband according to the second information is not limited to the above example.
  • the network device may directly determine the precoding matrix corresponding to each subband according to the codebook coefficients corresponding to each subband on the multiple transmission layers.
  • the process for the network device to determine the precoding matrix based on the second information can refer to the prior art, for example, refer to the related description in R15. For brevity, it will not be detailed here.
  • the network device can first determine at least one spatial vector, at least one frequency domain vector, and at least one linear superposition coefficient corresponding to the first port group according to the received second information, and At least one spatial domain vector, at least one frequency domain vector, and at least one linear superposition coefficient corresponding to the second port group.
  • the network equipment can restore the codebook coefficients corresponding to each port group according to the corresponding relationship between the linear superposition coefficients corresponding to each port group and the spatial vector and frequency domain vector; and construct the codebook coefficients corresponding to each port group according to the order of each port group in the 2T ports. With the corresponding precoding vector.
  • the codebook coefficients corresponding to each port group fed back in R16 can include the codebook coefficients of multiple subbands. Therefore, the codebook coefficients corresponding to each port group determined by the network device can include The codebook coefficients corresponding to the port group and N 3 subbands.
  • the codebook coefficient corresponding to the first port group determined by the network device is The codebook coefficient corresponding to the second port group is The gain adjustment coefficients reported by the terminal equipment are ⁇ and 1. Then the network device can determine the precoding vector corresponding to subband 0 The precoding vector corresponding to subband 1 is By analogy, I will not list them all here. among them, Is the normalization coefficient,
  • the network device can determine the precoding vector corresponding to each subband. Then determine the precoding matrix of each subband.
  • the network device can also determine the space-frequency matrix based on the codebook coefficients corresponding to the first port group and the codebook coefficients corresponding to the second port group, and then the space-frequency matrix determines the precoding corresponding to each subband vector.
  • the space-frequency matrix is also determined by multiple precoding vectors, which can be understood as a precoding matrix in the frequency domain.
  • This application does not limit the specific form of the precoding matrix.
  • other names are used to define the same or similar matrix as the space frequency matrix.
  • the network device determines that the precoding matrix belongs to the internal implementation behavior of the device according to the third information, and can be implemented based on different pre-configured algorithms. This application does not limit the specific manner in which the network device determines the precoding matrix according to the third information.
  • the terminal device compresses and quantizes the codebook coefficients of the precoding matrix separately according to the corresponding port group, and groups ports with similar energy distributions into a group for compression, which can make the port Codebook coefficients with large differences in energy distribution are separated and compressed individually. Therefore, it is possible to avoid the reduction of the codebook feedback accuracy caused by the loss of the codebook coefficients of some ports in the compression process.
  • the network device may determine the precoding matrix according to the relationship between the same port groups and the codebook coefficients corresponding to each port group fed back by the terminal device.
  • the precoding matrix recovered by the network device integrates the codebook coefficients of each port, and the loss of the codebook coefficients is less, which is beneficial to the network device to accurately recover the precoding matrix. Therefore, the precoding matrix processing method provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • FIG. 4 is a schematic flowchart of a method 400 for processing a precoding matrix according to another embodiment of the present application. As shown in FIG. 4, the method 400 may include step 410 to step 450.
  • step 410 the terminal device determines the codebook coefficients of the precoding matrix.
  • step 410 is the same as the specific process of step 210 in the above method 200, and reference may be made to the related description of step 210 above. For the sake of brevity, I will not repeat it here.
  • step 420 the terminal device performs a first quantization process on the codebook coefficients to obtain first quantization information, where the first quantization information is used to indicate at least one linear superposition coefficient among the multiple linear superposition coefficients.
  • linear superposition coefficients can correspond to beams, that is, to spatial vectors; linear superposition coefficients can also correspond to beams and subbands, that is, to correspond to spatial vectors and frequency domain vectors.
  • the terminal device In order to reduce the feedback overhead, the terminal device usually reports the linear superposition coefficients with higher energy after transformation with higher accuracy, and the linear superposition coefficients with lower energy are reported with lower accuracy or not reported. Therefore, there may still be a certain difference between the precoding matrix restored based on the codebook coefficients compressed by the terminal device and the actual precoding matrix to be reported. In other words, the feedback accuracy is limited.
  • this application proposes a solution for secondary quantization processing, which performs secondary compression on the unreported linear superposition coefficients and reports them.
  • step 430 the terminal device performs a second quantization process on part or all of the linear superimposition coefficients that are not quantized by the first quantization information to obtain second quantization information.
  • the second quantization information is used to indicate some or all of the linear superposition coefficients .
  • the terminal device compresses the codebook coefficients to obtain K linear superimposition coefficients, and the linear superimposition coefficients quantized by the terminal device through the first quantization information are only a part of them, for example, G.
  • K>G ⁇ 1 K>G ⁇ 1
  • both K and G are integers.
  • the terminal device may perform secondary compression on part or all of the K-G linear superimposition coefficients that are not quantized by the first quantization information, so as to report part or all of the K-G linear superimposition coefficients to the network device.
  • step 420 and step 430 in detail in combination with two different codebook feedback methods. It should be understood that the DCT substrate or the spatial DFT substrate exemplified below can be replaced with other substrates, such as a substrate generated by a Sinc function.
  • the terminal device may perform spatial compression on the wideband precoding vector on each transmission layer to obtain codebook coefficients that can approximately characterize the precoding vector.
  • the wideband precoding vector corresponding to a transmission layer can be expressed as [v 0 v 1 v 2 v 3 v 4 v 5 v 6 v 7 ] T.
  • the terminal device performs spatial compression on the precoding vector, such as projecting to a spatial DCT base or a spatial DFT base, to obtain at least one spatial vector and its corresponding broadband amplitude coefficient.
  • the specific process of the terminal device performing the first quantization processing on the codebook coefficients may be consistent with the prior art. For the sake of brevity, I will not go into details here.
  • the number of broadband amplitude coefficients reported by the terminal device may be limited.
  • the network device can indicate the maximum number of width and amplitude coefficients reported by the terminal device, or the protocol can predefine the maximum number of width and amplitude coefficients reported by the terminal device.
  • the terminal device may discard a part of the broadband amplitude coefficients in the first quantization process. For example, according to the maximum number of broadband amplitude coefficients, one or more broadband amplitude coefficients with lower energy exceeding the maximum number are discarded.
  • the terminal device determines L wideband spatial vectors and L wideband amplitude coefficients based on spatial compression.
  • the maximum number of broadband amplitude coefficients reported by the terminal equipment is H, H ⁇ L.
  • the terminal device can only quantize the H wideband amplitude coefficients with larger energy among the L wideband amplitude coefficients, while the LH wideband amplitude coefficients with smaller energy are not quantized, that is, they fail to pass.
  • the first quantitative information is reported. Therefore, if the network device only determines the precoding vector based on the L spatial vectors and H wideband amplitude coefficients reported in the first quantization information, the determined precoding matrix may be different from the precoding vector that the terminal device actually wants to report. The difference.
  • the terminal device performs the second quantization process on part or all of the wideband amplitude coefficients among the remaining L-H wideband amplitude coefficients.
  • the terminal device performs the second quantization process for some or all of the remaining K-H broadband amplitude coefficients, which may be predefined by the protocol, instructed in advance by the network device, or determined and reported by the terminal device itself. This application does not limit this.
  • the terminal device performs the second quantization process on J (KH ⁇ J, J is a positive integer) of the remaining KH broadband amplitude coefficients, and assumes that the terminal device performs the second quantization process
  • the number of reported components is I, I ⁇ 1 and is an integer.
  • the terminal device may perform DCT on the J wideband amplitude coefficients to obtain multiple components that can be used to approximate the J wideband amplitude coefficients and their corresponding weighting coefficients through compression.
  • the number of components reported by the terminal device for the second quantization process may be pre-indicated by the network device or predefined by the protocol, which is not limited in this application.
  • the terminal device can quantize the weighting coefficient of the first I component obtained by DCT compression. In other words, the terminal device can approximately express the aforementioned J wideband amplitude coefficients through the weighted sum of the I components.
  • the I component may be, for example, the first I DCT vector in the DCT base.
  • the terminal device may perform DFT on the J wideband amplitude coefficients to obtain multiple components that can be used to approximate the J wideband amplitude coefficients and their corresponding weighting coefficients through compression.
  • the terminal device can quantize the stronger I components obtained by DFT compression and their corresponding weighting coefficients.
  • the terminal device can approximately express the aforementioned J wideband amplitude coefficients through the weighted sum of the I components.
  • the I component may refer to, for example, I DFT vectors selected from the DFT base.
  • the terminal device can combine the precoding vectors of multiple subbands on the same transmission layer to obtain a space-frequency matrix with a dimension of 2T ⁇ N 3.
  • the terminal device may perform dual-domain compression on the space-frequency matrix to obtain at least one (for example, L) spatial vector, at least one (for example, M) frequency domain vector, and at least one (for example, M) frequency domain vector that can approximately characterize the precoding vectors of the multiple subbands.
  • One (for example, K) linear superposition coefficients One (for example, K) linear superposition coefficients.
  • the weighted sum of the L space-domain vectors and the M frequency-domain vectors can be used to approximately represent the above-mentioned space-frequency matrix.
  • the specific process of the terminal device performing the first quantization processing on the codebook coefficients may be consistent with the prior art. For the sake of brevity, I will not go into details here.
  • the terminal device In the first quantization process, in order to reduce the feedback overhead, the terminal device only quantizes the H linear superimposition coefficients with the larger energy among the K linear superimposition coefficients, while the KH linear superimposition coefficients with the smaller energy do not Quantification, that is, not reporting through the first quantitative information. Therefore, if the network device determines the space-frequency matrix only based on the L space-domain vectors, M frequency-domain vectors, and H linear superimposition coefficients reported by the terminal device through the first quantization process, the determined space-frequency matrix may be the same as the actual terminal device. It is hoped that there are still some differences in the space-frequency matrix reported.
  • the terminal device performs the second quantization process on part or all of the remaining K-H linear superimposition coefficients.
  • the terminal device performs the second quantization process for part or all of the remaining K-H linear superposition coefficients, which may be predefined by the protocol, instructed in advance by the network device, or determined and reported by the terminal device itself.
  • This application does not limit this.
  • the terminal device performs the second quantization process on J (K-H ⁇ J, J is a positive integer) linear superimposition coefficients among the remaining K-H linear superimposition coefficients.
  • the terminal device may also remove the H linear superimposition coefficients indicated by the first quantization information from the L ⁇ M (understandably, L ⁇ M ⁇ K) linear superimposition coefficients corresponding to the L spatial domain vectors and the M frequency domain vectors. Part or all of the remaining L ⁇ MH linear superposition coefficients (such as J′, L ⁇ MH ⁇ J′ are positive integers) are subjected to the second quantization process. This application does not limit this.
  • the terminal device may perform DCT on the J linear superimposition coefficients to obtain multiple components that can be used to approximate the J linear superimposition coefficients and their corresponding weighting coefficients through compression.
  • the number of components reported by the terminal device for the second quantization process may be pre-indicated by the network device or predefined by the protocol, which is not limited in this application. For ease of understanding and explanation, it is assumed here that the number of components reported by the terminal device for the second quantization process is I, and I ⁇ 1 and is an integer.
  • the terminal device can quantize the weighting coefficient of the first I component obtained by DCT compression. In other words, the terminal device can approximately express the aforementioned J linear superposition coefficients through the weighted sum of the I components.
  • the I component may be, for example, the first I DCT vector in the DCT base.
  • the terminal device may perform DFT on the J linear superimposition coefficients to obtain multiple components that can be used to approximately characterize the J linear superimposition coefficients and their corresponding weighting coefficients through compression.
  • the terminal device can quantize the stronger I components obtained by DFT compression and their corresponding weighting coefficients.
  • the terminal device can approximately express the aforementioned J linear superposition coefficients through the weighted sum of the I components.
  • the I component may refer to, for example, I DFT vectors selected from the DFT base.
  • FIG. 5 shows a schematic diagram of performing DFT on the space-frequency matrix.
  • the space-frequency matrix is compressed in the space, three strong space vectors can be obtained, the three strong space vectors and the two strong frequency vectors.
  • the first quantization process can quantize the four linear superposition coefficients with larger energy
  • the second quantization process can quantize one or two of the other two linear superposition coefficients with smaller energy.
  • the terminal device may further report which components in the K-H correspond to the J components.
  • the reporting method can be character string, port index number, etc. This application does not limit this.
  • FIG. 5 is only an example for ease of understanding, and should not constitute any limitation to the application. This application does not limit the specific method of compression and the specific value of each parameter.
  • the number J of linear superimposition coefficients quantized by the second quantization process may be indicated by the network device in advance through signaling, for example.
  • the method further includes: the terminal device receives fifth information from the network device, where the fifth information is used to indicate the number of linear superposition coefficients quantized by the second quantization information.
  • the network device sends the fifth information to the terminal device.
  • the number J of linear superposition coefficients quantized by the second quantization process may also be determined by the terminal device itself and reported to the network device.
  • the method further includes: the terminal device reports the number of linear superposition coefficients quantized by the second quantization information to the network device.
  • the number J of linear superposition coefficients quantized by the second quantization process may also be predefined by the protocol. This application does not limit this.
  • the number of components (such as I listed above) used to report the remaining part or all of the linear superimposition coefficients (ie, the J linear superimposition coefficients in the remaining KH) can also be indicated by the network device in advance through signaling of.
  • the method further includes: the terminal device receives sixth information from the network device, where the sixth information is used to indicate the number of components used to report the second quantized information.
  • the terminal device receives the sixth information from the network device.
  • the number of components used for reporting some or all of the linear superposition coefficients may also be determined by the terminal device and reported to the network device.
  • the method further includes: the terminal device reports the number of components used by the second quantized information to the network device.
  • the network device receives an indication of the number of components used for reporting some or all of the linear superposition coefficients from the terminal device.
  • the number of components used to report some or all of the linear superposition coefficients may also be predefined by the protocol. This application does not limit this.
  • the specific method for the terminal device to perform the second quantization processing may be similar to the specific method for the first quantization processing.
  • the specific method of compression by the terminal device is only an example, and should not constitute any limitation in this application. Since the specific process of compression performed by the terminal device belongs to the internal implementation of the device, it can be implemented by configuring different algorithms in advance, and this application does not limit the specific method for compressing the terminal device.
  • the terminal device when it performs the second quantization process, it can construct the J linear superposition coefficients in the form of a vector or matrix according to a predefined rule, and then perform compression processing on the constructed vector post matrix. For example, the terminal device may sequentially arrange the spatial vectors and frequency domain vectors corresponding to the J linear superposition coefficients in the L spatial vectors and M frequency domain vectors to obtain a vector of length J.
  • the terminal device can arrange the two linear superposition coefficients in the order of traversing the rows first and then traversing the columns.
  • the linear superposition coefficient in the fourth row and the second column in FIG. 5 is located before the linear superposition coefficient in the fifth row and the third column.
  • the foregoing manner of sequentially arranging the J linear superposition coefficients according to the order of traversing the rows and then traversing the columns may be a predefined rule. However, it should be understood that this is only an example for ease of understanding, and this application does not limit the specific content of the predefined rule.
  • the reason why the terminal device performs the secondary quantization processing is because in the first quantization processing, a part of the linear superposition coefficients with smaller energy are discarded. This is equivalent to dividing the multiple linear superposition coefficients into two groups.
  • the first quantization process performs quantization processing on the first group of linear superposition coefficients
  • the second quantization process performs quantization processing on the second group of linear superposition coefficients.
  • the energy difference between the two sets of linear superposition coefficients is relatively large.
  • the terminal device may report the proportional relationship between the linear superposition coefficients corresponding to the two quantization processes to the network device.
  • the method further includes: the terminal device reports one or more gain adjustment coefficients to the network device, and the one or more gain adjustment coefficients may be used to indicate the weight relationship between the multiple linear superimposition coefficients.
  • the network device receives the one or more gain adjustment coefficients from the terminal device. Furthermore, the network device can determine the precoding matrix according to the one or more gain adjustment coefficients.
  • step 440 the terminal device sends fourth information, where the fourth information includes the first quantization information and the second quantization information.
  • the network device receives the fourth information.
  • the fourth information may be information contained in PMI, or may be PMI, for example. Further, the fourth information may be carried in a CSI report, for example.
  • the fourth information and the second information in the above method 200 can be understood as the same type of information. Since the codebook coefficients corresponding to each port group in the precoding matrix are re-quantized, the indicated information They may also be different, so they are distinguished by different names. For the specific process of step 440, reference may be made to the related description of step 250 in the method 200 above, and for the sake of brevity, it will not be repeated here.
  • step 450 the network device determines a precoding matrix according to the fourth information.
  • the quantized codebook coefficients indicated by the foregoing fourth information can be used to construct a precoding matrix.
  • the network device may first determine the second set of linear superposition coefficients based on the second quantization information, and determine the first set of linear superposition coefficients based on the first quantization information. Thereafter, the network device may perform normalization processing on the first set of linear superposition coefficients and the second set of linear superposition coefficients based on the gain adjustment coefficient reported by the terminal device. Thereafter, the network device can determine the precoding matrix according to the linear superposition coefficients.
  • the following describes the process of determining the precoding matrix by the network device according to the fourth information in combination with the above two codebook feedback methods.
  • the network device can first determine the first set of linear superimposition coefficients and their corresponding spatial vectors based on the first quantization information, and determine the second set of linear superimposition coefficients based on the second quantization information. Thereafter, the network device may perform normalization processing on the first set of linear superposition coefficients and the second set of linear superposition coefficients based on one or more gain adjustment coefficients reported by the terminal device. Then, the network device can determine the spatial vector corresponding to each linear superposition coefficient in the second set of linear superposition coefficients according to a predefined rule, and thus can determine the pre-determined space vector based on the one-to-one correspondence between each linear superposition coefficient and the space vector. Encoding matrix.
  • the network device can first determine the second set of linear superimposition coefficients based on the second quantization information, and determine the first set of linear superimposition coefficients and their corresponding spatial and frequency domain vectors based on the first quantization information. Thereafter, the network device may perform normalization processing on the first set of linear superposition coefficients and the second linear superposition coefficients based on one or more gain adjustment coefficients reported by the terminal device. Then, the network device can determine the one-to-one correspondence between each linear superposition coefficient and the space vector and frequency domain vector according to the predefined rules, or according to the index of the space vector and the frequency domain vector corresponding to the second linear superposition coefficient reported by the terminal. Relationship, and then the space-frequency matrix can be determined.
  • the specific process of the network device determining the precoding matrix according to the space-frequency matrix has been briefly described above.
  • the specific method for the network device to determine the precoding matrix according to the spatial vector, the frequency domain vector, and the linear superposition coefficient can refer to the prior art, for example, refer to the related description in R16. For brevity, it will not be described in detail here.
  • the space-frequency matrix is also determined by multiple precoding vectors, which can be understood as a precoding matrix in the frequency domain.
  • This application does not limit the specific form of the precoding matrix.
  • other names are used to define the same or similar matrix as the space frequency matrix.
  • the network device determines that the precoding matrix belongs to the internal implementation behavior of the device according to the fourth information, and can be implemented based on different pre-configured algorithms. This application does not limit the specific manner in which the network device determines the precoding matrix according to the fourth information.
  • the terminal device performs secondary quantization processing on the linear superimposition coefficient, which is equivalent to grouping the linear superimposition coefficients according to the magnitude of energy, and grouping the linear superimposition coefficients with larger energy into a group for compression.
  • the linear superposition coefficients with smaller energy are grouped into another group for compression, and the results of the two compressions are respectively quantized to obtain the first quantized information and the second quantized information.
  • the first quantized information and the second quantized information are obtained through the fourth information.
  • the quantitative information is sent to the network device.
  • the network device can determine the precoding matrix according to the fourth information fed back by the terminal device and the energy relationship between the two sets of linear superposition coefficients.
  • the precoding matrix processing method provided by the embodiment of the present application can obtain higher feedback accuracy, which is beneficial to improving the transmission performance of the system.
  • the terminal device and/or the network device may perform part or all of the steps in the embodiments. These steps or operations are only examples, and the embodiments of the present application may also perform other operations or variations of various operations.
  • each step may be performed in a different order presented in each embodiment, and it may not be necessary to perform all operations in the embodiments of the present application.
  • the size of the sequence number of each step does not mean the order of execution.
  • the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
  • Fig. 6 is a schematic block diagram of a communication device provided by an embodiment of the present application.
  • the communication device 600 may include a determination unit 610, a grouping unit 620, a gain adjustment unit 630, and a quantization unit 640.
  • the communication device 600 may correspond to the terminal device in the above method embodiment, for example, it may be a terminal device, or a component (such as a chip or a chip system) configured in the terminal device.
  • the communication device 600 may correspond to the terminal device in the method 200 according to the embodiment of the present application, and the communication device 600 may include a unit for executing the method executed by the terminal device in the method 200 in FIG. 2.
  • each unit in the communication device 600 and other operations and/or functions described above are used to implement the corresponding process of the method 200 in FIG. 2.
  • the determining unit 610 can be used to perform step 210 in the method 200
  • the grouping unit can be used to perform step 2202 in the method 200
  • the gain adjustment unit can be used in the method 200.
  • the quantization unit 640 can be used to perform step 240 in the method 200.
  • the communication device 600 may further include a transceiving unit 650 for performing step 2201 and step 250 in the method 200.
  • the above-mentioned determining unit 610, grouping unit 620, gain adjusting unit 630, and quantizing unit 640 may all be implemented by at least one processor.
  • it may correspond to the processor 2010 in the terminal device 2000 shown in the figure.
  • the transceiving unit 650 may correspond to the transceiver 2020 in the terminal device 2000 shown in FIG. 9.
  • the communication device 600 is a chip or a chip system configured in a terminal device
  • the above-mentioned transceiving unit 620 may be implemented through an input/output interface
  • the determining unit 610, the grouping unit 620, the gain adjustment unit 630, and the quantization unit 640 may be It is realized by the processor, microprocessor or integrated circuit integrated on the chip or chip system.
  • FIG. 7 is another schematic block diagram of a communication device provided by an embodiment of the present application. As shown in FIG. 7, the communication device 700 includes a transceiving unit 710 and a determining unit 720.
  • the communication device 600 may correspond to the network device in the above method embodiment, for example, it may be a network device, or a component (such as a chip or a chip system) configured in the network device.
  • the communication device 700 may correspond to the network device in the method 200 according to the embodiment of the present application, and the communication device 700 may include a unit for executing the method executed by the network device in the method 200 in FIG. 2.
  • each unit in the communication device 700 and other operations and/or functions described above are used to implement the corresponding process of the method 200 in FIG. 2.
  • the transceiving unit 710 can be used to execute step 250 in the method 200
  • the determining unit 720 can be used to execute step 260 in the method 200.
  • the aforementioned determining unit 710, grouping unit 720, gain adjusting unit 730, and quantizing unit 740 may all be implemented by at least one processor.
  • it may correspond to the processor 2010 in the network device 2000 shown in the figure.
  • the transceiving unit 750 may correspond to the transceiver 2020 in the network device 2000 shown in FIG. 10.
  • the above-mentioned transceiving unit 720 may be implemented through an input/output interface, and the determining unit 710, the grouping unit 720, the gain adjusting unit 730, and the quantizing unit 740 may It is realized by the processor, microprocessor or integrated circuit integrated on the chip or chip system.
  • FIG. 8 is another schematic block diagram of a communication device provided by an embodiment of the present application.
  • the communication device 1000 may include a processing unit 1100 and a transceiving unit 1200.
  • the communication device 1000 may correspond to the terminal device in the above method embodiment, for example, it may be a terminal device, or a component (such as a chip or a chip system) configured in the terminal device.
  • the communication device 1000 may correspond to the terminal device in the method 300 or the method 400 according to an embodiment of the present application, and the communication device 1000 may include a terminal device for executing the method 300 in FIG. 3 or the method 400 in FIG. 4 The unit of the method performed by the device.
  • each unit in the communication device 1000 and other operations and/or functions described above are used to implement the corresponding process of the method 300 in FIG. 3 or the method 400 in FIG. 4, respectively.
  • the processing unit 1100 can be used to execute steps 310 to 330 in the method 300, and the transceiver unit 1200 can be used to execute step 340 in the method 300. It should be understood that the specific process of each unit performing the foregoing corresponding steps has been described in detail in the foregoing method embodiment, and is not repeated here for brevity.
  • the processing unit 1100 can be used to execute steps 410 to 430 in the method 400, and the transceiver unit 1200 can be used to execute step 440 in the method 400. It should be understood that the specific process of each unit performing the foregoing corresponding steps has been described in detail in the foregoing method embodiment, and is not repeated here for brevity.
  • the transceiver unit 1200 in the communication device 1000 may be implemented by a transceiver, for example, it may correspond to the transceiver 2020 in the terminal device 2000 shown in FIG.
  • the processing unit 1100 in 1000 may be implemented by at least one processor, for example, may correspond to the processor 2010 in the terminal device 2000 shown in FIG. 9.
  • the transceiver unit 1200 in the communication device 1000 can be implemented through an input/output interface, and the processing unit 1100 in the communication device 1000 can be implemented through the Implementation of a processor, microprocessor, or integrated circuit integrated on a chip or chip system.
  • the communication device 1000 may correspond to the network device in the above method embodiment, for example, it may be a network device, or a component (such as a chip or a chip system) configured in the network device.
  • the communication device 1000 may correspond to the network equipment in the method 300 or the method 400 according to the embodiment of the present application, and the communication device 1000 may include a network device for executing the method 300 in FIG. 3 or the method 400 in FIG. 4 The unit of the method performed by the device.
  • each unit in the communication device 1000 and other operations and/or functions described above are used to implement the corresponding process of the method 300 in FIG. 3 or the method 400 in FIG. 4, respectively.
  • the processing unit 1100 can be used to execute step 350 in the method 300
  • the transceiver unit 1200 can be used to execute step 340 in the method 300. It should be understood that the specific process of each unit performing the foregoing corresponding steps has been described in detail in the foregoing method embodiment, and is not repeated here for brevity.
  • the processing unit 1100 may be used to execute step 450 in the method 400
  • the transceiver unit 1200 may be used to execute step 440 in the method 400. It should be understood that the specific process of each unit performing the foregoing corresponding steps has been described in detail in the foregoing method embodiment, and is not repeated here for brevity.
  • the transceiver unit in the communication device 1000 can be implemented by a transceiver, for example, it can correspond to the transceiver 3200 in the network device 3000 shown in FIG.
  • the processing unit 1100 in may be implemented by at least one processor, for example, may correspond to the processor 3100 in the network device 3000 shown in FIG. 10.
  • the transceiver unit 1200 in the communication device 1000 can be implemented through an input/output interface, and the processing unit 1100 in the communication device 1000 can be implemented through the Implementation of a processor, microprocessor, or integrated circuit integrated on a chip or chip system.
  • FIG. 9 is a schematic structural diagram of a terminal device 2000 provided by an embodiment of the present application.
  • the terminal device 2000 can be applied to the system shown in FIG. 1 to perform the functions of the terminal device in the foregoing method embodiment.
  • the terminal device 2000 includes a processor 2010 and a transceiver 2020.
  • the terminal device 2000 further includes a memory 2030.
  • the processor 2010, the transceiver 2002, and the memory 2030 can communicate with each other through internal connection paths to transfer control and/or data signals.
  • the memory 2030 is used for storing computer programs, and the processor 2010 is used for downloading from the memory 2030. Call and run the computer program to control the transceiver 2020 to send and receive signals.
  • the terminal device 2000 may further include an antenna 2040 for transmitting the uplink data or uplink control signaling output by the transceiver 2020 through a wireless signal.
  • the above-mentioned processor 2010 and the memory 2030 may be combined into a processing device, and the processor 2010 is configured to execute the program code stored in the memory 2030 to realize the above-mentioned functions.
  • the memory 2030 may also be integrated in the processor 2010 or independent of the processor 2010.
  • the processor 2010 may correspond to the determination unit, the grouping unit, the gain adjustment unit, and the quantization unit in FIG. 6, or may also correspond to the processing unit in FIG. 8.
  • the aforementioned transceiver 2020 may correspond to the transceiver unit in FIG. 6 or FIG. 8, and may also be referred to as a transceiver unit.
  • the transceiver 2020 may include a receiver (or receiver, receiving circuit) and a transmitter (or transmitter, transmitting circuit). Among them, the receiver is used to receive signals, and the transmitter is used to transmit signals.
  • the terminal device 2000 shown in FIG. 9 can implement various processes involving the terminal device in any one of the method embodiments shown in FIG. 2 to FIG. 4.
  • the operations and/or functions of the various modules in the terminal device 2000 are respectively for implementing the corresponding processes in the foregoing method embodiments.
  • the above-mentioned processor 2010 can be used to execute the actions described in the previous method embodiments implemented by the terminal device, and the transceiver 2020 can be used to execute the terminal device described in the previous method embodiments to send to or receive from the network device. action.
  • the transceiver 2020 can be used to execute the terminal device described in the previous method embodiments to send to or receive from the network device. action.
  • the aforementioned terminal device 2000 may further include a power supply 2050 for providing power to various devices or circuits in the terminal device.
  • the terminal device 2000 may also include one or more of an input unit 2060, a display unit 2070, an audio circuit 2080, a camera 2090, and a sensor 2100.
  • the audio circuit It may also include a speaker 2082, a microphone 2084, and so on.
  • FIG. 10 is a schematic structural diagram of a network device provided by an embodiment of the present application, for example, it may be a schematic structural diagram of a base station.
  • the base station 3000 can be applied to the system shown in FIG. 1 to perform the functions of the network equipment in the foregoing method embodiment.
  • the base station 3000 may include one or more radio frequency units, such as a remote radio unit (RRU) 3100 and one or more baseband units (BBU) (also known as distributed unit (DU) )) 3200.
  • RRU 3100 may be called a transceiver unit, which corresponds to the transceiver unit in FIG. 7 or FIG. 8.
  • the transceiver unit 3100 may also be called a transceiver, a transceiver circuit, or a transceiver, etc., and it may include at least one antenna 3101 and a radio frequency unit 3102.
  • the transceiver unit 3100 may include a receiving unit and a transmitting unit, the receiving unit may correspond to a receiver (or receiver, receiving circuit), and the transmitting unit may correspond to a transmitter (or transmitter or transmitting circuit).
  • the RRU 3100 part is mainly used for sending and receiving of radio frequency signals and conversion of radio frequency signals and baseband signals, for example, for sending instruction information to terminal equipment.
  • the 3200 part of the BBU is mainly used for baseband processing, control of the base station, and so on.
  • the RRU 3100 and the BBU 3200 may be physically set together, or may be physically separated, that is, a distributed base station.
  • the BBU 3200 is the control center of the base station, and can also be called a processing unit. It can correspond to the determining unit in FIG. 7 or the processing unit in FIG. 8. It is mainly used to complete baseband processing functions, such as channel coding, multiplexing, and modulation. , Spread spectrum and so on.
  • the BBU processing unit
  • the BBU may be used to control the base station to execute the operation procedure of the network device in the foregoing method embodiment, for example, to generate the foregoing indication information.
  • the BBU 3200 may be composed of one or more single boards, and multiple single boards may jointly support a radio access network (such as an LTE network) of a single access standard, or support different access standards. Wireless access network (such as LTE network, 5G network or other networks).
  • the BBU 3200 also includes a memory 3201 and a processor 3202.
  • the memory 3201 is used to store necessary instructions and data.
  • the processor 3202 is configured to control the base station to perform necessary actions, for example, to control the base station to execute the operation procedure of the network device in the foregoing method embodiment.
  • the memory 3201 and the processor 3202 may serve one or more single boards. In other words, the memory and the processor can be set separately on each board. It can also be that multiple boards share the same memory and processor. In addition, necessary circuits can be provided on each board.
  • the base station 3000 shown in FIG. 10 can implement various processes involving network devices in any of the method embodiments shown in FIG. 2 to FIG. 4.
  • the operations and/or functions of the various modules in the base station 3000 are respectively for implementing the corresponding procedures in the foregoing method embodiments.
  • the above-mentioned BBU 3200 can be used to perform the actions described in the previous method embodiments implemented by the network device, and the RRU 3100 can be used to perform the actions described in the previous method embodiments that the network device sends to or receives from the terminal device.
  • the RRU 3100 can be used to perform the actions described in the previous method embodiments that the network device sends to or receives from the terminal device.
  • the base station 3000 shown in FIG. 10 is only a possible form of network equipment, and should not constitute any limitation in this application.
  • the method provided in this application can be applied to other types of network equipment.
  • CPE customer premises equipment
  • the CU and/or DU can be used to perform the actions described in the previous method embodiment implemented by the network device, and the AAU can be used to perform the network device described in the previous method embodiment to send to or receive from the terminal device Actions.
  • the AAU can be used to perform the network device described in the previous method embodiment to send to or receive from the terminal device Actions.
  • An embodiment of the present application also provides a processing device, including a processor and an interface; the processor is configured to execute the method in any of the foregoing method embodiments.
  • the aforementioned processing device may be one or more chips.
  • the processing device may be a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on chip (SoC), or It is a central processor unit (CPU), it can also be a network processor (NP), it can also be a digital signal processing circuit (digital signal processor, DSP), or it can be a microcontroller (microcontroller unit). , MCU), it can also be a programmable logic device (PLD) or other integrated chips.
  • FPGA field programmable gate array
  • ASIC application specific integrated circuit
  • SoC system on chip
  • CPU central processor unit
  • NP network processor
  • DSP digital signal processing circuit
  • microcontroller unit microcontroller unit
  • MCU programmable logic device
  • PLD programmable logic device
  • each step of the above method can be completed by an integrated logic circuit of hardware in the processor or instructions in the form of software.
  • the steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware processor, or executed and completed by a combination of hardware and software modules in the processor.
  • the software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers.
  • the storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware. To avoid repetition, it will not be described in detail here.
  • the processor in the embodiment of the present application may be an integrated circuit chip with signal processing capability.
  • the steps of the foregoing method embodiments can be completed by hardware integrated logic circuits in the processor or instructions in the form of software.
  • the above-mentioned processor may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components .
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • the methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed.
  • the general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers.
  • the storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.
  • the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory.
  • the non-volatile memory can be read-only memory (ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), and electrically available Erase programmable read-only memory (electrically EPROM, EEPROM) or flash memory.
  • the volatile memory may be random access memory (RAM), which is used as an external cache.
  • RAM random access memory
  • static random access memory static random access memory
  • dynamic RAM dynamic RAM
  • DRAM dynamic random access memory
  • synchronous dynamic random access memory synchronous DRAM, SDRAM
  • double data rate synchronous dynamic random access memory double data rate SDRAM, DDR SDRAM
  • enhanced synchronous dynamic random access memory enhanced SDRAM, ESDRAM
  • synchronous connection dynamic random access memory serial DRAM, SLDRAM
  • direct rambus RAM direct rambus RAM
  • the present application also provides a computer program product, the computer program product includes: computer program code, when the computer program code runs on a computer, the computer executes the steps shown in FIGS. 2 to 4 The method executed by the terminal device or the method executed by the network device in the embodiment is shown.
  • the present application also provides a computer-readable medium that stores program code, and when the program code runs on a computer, the computer executes the steps shown in FIGS. 2 to 4 The method executed by the terminal device or the method executed by the network device in the embodiment is shown.
  • the present application also provides a system, which includes the aforementioned one or more terminal devices and one or more network devices.
  • the network equipment in each of the above-mentioned device embodiments corresponds completely to the network equipment or terminal equipment in the terminal equipment and method embodiments, and the corresponding modules or units execute the corresponding steps.
  • the communication unit executes the receiving or the terminal equipment in the method embodiments.
  • the processing unit executes the functions of specific units, refer to the corresponding method embodiments. Among them, there may be one or more processors.
  • component used in this specification are used to denote computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution.
  • the component may be, but is not limited to, a process, a processor, an object, an executable file, an execution thread, a program, and/or a computer running on a processor.
  • the application running on the computing device and the computing device can be components.
  • One or more components may reside in processes and/or threads of execution, and components may be located on one computer and/or distributed among two or more computers.
  • these components can be executed from various computer readable media having various data structures stored thereon.
  • the component can be based on, for example, a signal having one or more data packets (e.g. data from two components interacting with another component in a local system, a distributed system, and/or a network, such as the Internet that interacts with other systems through a signal) Communicate through local and/or remote processes.
  • a signal having one or more data packets (e.g. data from two components interacting with another component in a local system, a distributed system, and/or a network, such as the Internet that interacts with other systems through a signal) Communicate through local and/or remote processes.
  • the disclosed system, device, and method may be implemented in other ways.
  • the device embodiments described above are merely illustrative, for example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • each functional unit may be implemented in whole or in part by software, hardware, firmware, or any combination thereof.
  • software When implemented by software, it can be implemented in the form of a computer program product in whole or in part.
  • the computer program product includes one or more computer instructions (programs).
  • programs When the computer program instructions (programs) are loaded and executed on the computer, the processes or functions described in the embodiments of the present application are generated in whole or in part.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.
  • the computer instructions may be transmitted from a website, computer, server, or data center. Transmission to another website, computer, server, or data center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.).
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center integrated with one or more available media.
  • the usable medium may be a magnetic medium, (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (for example, a solid state disk, SSD)) etc.
  • a magnetic medium for example, a floppy disk, a hard disk, and a magnetic tape
  • an optical medium for example, a high-density digital video disc (digital video disc, DVD)
  • a semiconductor medium for example, a solid state disk, SSD
  • the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disks or optical disks and other media that can store program codes. .

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention concerne un procédé de traitement de matrice de précodage et un appareil de communication. Le procédé comprend les étapes suivantes : un équipement terminal détermine des coefficients de livre de codes d'une matrice de précodage ; et regroupe des ports correspondant à la matrice de précodage pour obtenir de multiples groupes de ports. Au moyen du regroupement des ports, les ports ayant une différence d'énergie relativement grande sont attribués à différents groupes de ports. L'équipement terminal peut utiliser différents coefficients d'ajustement de gain pour effectuer un ajustement de gain sur les coefficients de livre de codes correspondant aux multiples groupes de ports, et effectuer un traitement de quantification sur les coefficients de livre de codes qui ont été soumis à un ajustement de gain ; ou, l'équipement terminal peut effectuer respectivement un traitement de quantification sur les coefficients de livre de codes correspondant aux multiples groupes de ports, de sorte qu'un dispositif de réseau détermine la matrice de précodage en fonction des coefficients de livre de codes quantifiés. Par conséquent, il est possible d'éviter une diminution de la précision de rétroaction provoquée par la perte des coefficients de livre de codes de certains ports avec une énergie relativement faible. Par conséquent, une précision de rétroaction relativement élevée peut être obtenue, ce qui facilite une amélioration des performances de transmission d'un système.
PCT/CN2020/124105 2019-10-31 2020-10-27 Procédé de traitement de matrice de précodage et appareil de communication WO2021083157A1 (fr)

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