WO2023125049A1 - 信道状态信息反馈方法及装置、介质、程序产品 - Google Patents

信道状态信息反馈方法及装置、介质、程序产品 Download PDF

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Publication number
WO2023125049A1
WO2023125049A1 PCT/CN2022/139343 CN2022139343W WO2023125049A1 WO 2023125049 A1 WO2023125049 A1 WO 2023125049A1 CN 2022139343 W CN2022139343 W CN 2022139343W WO 2023125049 A1 WO2023125049 A1 WO 2023125049A1
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dft
basis vectors
dft basis
information
beams
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PCT/CN2022/139343
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English (en)
French (fr)
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李婷
王潇涵
金黄平
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华为技术有限公司
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Publication of WO2023125049A1 publication Critical patent/WO2023125049A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H04L1/0618—Space-time coding
    • H04L1/0675—Space-time coding characterised by the signaling
    • H04L1/0693—Partial feedback, e.g. partial channel state information [CSI]
    • 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
    • H04B7/0408—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas using two or more beams, i.e. beam diversity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity

Definitions

  • the present application relates to the field of communication technologies, and in particular to a channel state information (channel state information, CSI) feedback method, device, medium, and program product.
  • channel state information channel state information, CSI
  • the codebook uses a linear combination of long-period eigensubspace beams to approximate the downlink channel or the main eigenvector of the downlink channel.
  • the terminal needs to feed back the eigensubspace beams in a long period and feed back the beam superposition coefficients in a short period. If the method of scalar quantization (feeding back each value of the vector to the access network device) directly feeds back each element of the eigensubspace beam in a long period, the feedback overhead is relatively large. Therefore, how to feed back long-period eigensubspace beams with low overhead and high precision is a key issue for this type of codebook.
  • each beam in the eigensubspace beam set is approximately represented by a set of discrete Fourier transform (discrete Fourier transform, DFT) basis vector linear combination, where P represents The dimension of the characteristic subspace beam, N is the number of characteristic subspace beams, and M is the number of selected DFT basis vectors.
  • DFT discrete Fourier transform
  • each eigensubspace beam is projected with the same set of DFT basis vectors, the number M of the selected DFT basis vectors is the same, and the number of bits corresponding to the quantization feedback is the same.
  • the superposition coefficient corresponding to the stronger energy eigensubspace beam is usually The stronger the , the greater the impact of the accuracy of this part of the beam feedback on the overall accuracy of the PMI feedback.
  • the present application provides a channel state information feedback method, device, medium, and program product, which can feedback channel state information with low overhead and high precision.
  • a channel state information feedback method includes: the terminal obtains the long-period reporting amount of the precoding index PMI in the channel state information, wherein the long-period reporting amount is used to determine N features Subspace beams, the N feature subspace beams include N 1 feature subspace beams and N 2 feature subspace beams, and the N 1 feature subspace beams are formed by the first set of discrete Fourier transform DFT basis vectors
  • the M 1 DFT basis vector linear combination in the combination is characterized, and the N 2 eigensubspace beams are characterized by the M 2 DFT basis vector linear combination in the second group of DFT basis vector combinations, N, N 1 , N 2 , Both M 1 and M 2 are positive integers
  • the long-period reporting amount includes indication information of the M 1 DFT basis vectors, indication information of the M 2 DFT basis vectors, and indication information of the M 1 DFT basis vectors.
  • the terminal sends the long-period report amount of the PMI to the access network device.
  • the terminal divides the beam set into two parts according to the energy difference of the characteristic subspace beams.
  • the beams with stronger energy are represented by more linear combination of DFT basis vectors, and the beams with weaker energy are represented by less
  • the linear combination representation of the DFT basis vector can improve the overall accuracy of beam quantization projection with a certain overhead, thereby improving the accuracy of PMI feedback, or achieve the effect of reducing overhead with as little performance loss as possible.
  • the method further includes: the terminal receiving first projection quantization information from the access network device, where the first projection quantization information includes at least one of the following: a first feature subspace Beam grouping information, first DFT basis vector selection range information, and first DFT basis vector number information; and the terminal determines the long-period reporting amount according to the first projection quantization information.
  • the terminal can accurately determine the long-period reporting amount by receiving the projection quantization information configured by the access network device.
  • the method further includes: the terminal sending second projection quantization information to the access network device, where the second projection quantization information includes at least one of the following: a second feature subspace Beam grouping information, second DFT basis vector selection range information, and second DFT basis vector number information; and the terminal determines the long-period reporting amount according to the first projection quantization information and the second projection quantization information .
  • the terminal can report the projection quantization information, and can accurately and flexibly determine the long-period reporting amount according to the projection quantization information configured by the access network device and the projection quantization information reported by the terminal.
  • the terminal may also determine the long-period reporting amount according to the predefined projection quantization information combined with the projection quantization information configured by the access network device and/or the projection quantization information reported by the terminal, thereby saving signaling overhead .
  • the terminal may also determine the long-period reporting amount according to the predefined projection quantization information, thereby saving signaling overhead.
  • the method further includes: the terminal determining the short-period reporting amount of the PMI, the short-period reporting amount including beam superposition coefficients, the long-period reporting amount and the short-period reporting amount
  • the reported amount is used to determine channel information or a precoding matrix, and the channel information or precoding matrix is represented by the linear superposition of the N eigensubspace beams; and the terminal sends the PMI to the access network device Short-period reporting volume.
  • the terminal may also feed back the short-period reporting amount of the PMI, and the long-period reporting amount and the short-period reporting amount are used to determine channel information or a precoding matrix.
  • the method before the terminal sends the short-period report amount of PMI, the method further includes: the terminal performs orthogonalization processing on the N eigensubspace beams; and the terminal according to The N eigensubspace beams subjected to the orthogonalization process determine the beam superposition coefficients.
  • the terminal determines the beam superposition coefficient according to the orthogonalized beam and reports the beam superposition coefficient, so that the access network device restores the orthogonalized beam and the short-period reporting quantity based on the long-period reporting quantity, The channel information/precoding matrix can be recovered more accurately.
  • a channel state information feedback method comprising: an access network device receiving a long-period report amount of a precoding index PMI in channel state information from a terminal, wherein the long-period report amount
  • the N eigensubspace beams include N 1 eigensubspace beams and N 2 eigensubspace beams
  • the N 1 eigensubspace beams are determined by the first group of discrete Fu
  • the M1 DFT basis vector linear combination in the Leaf transform DFT basis vector combination is characterized, and the N2 characteristic subspace beams are characterized by the M2 DFT basis vector linear combination in the second group of DFT basis vector combinations, N, N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting quantity includes indication information of the M 1 DFT basis vectors, indication information of the M 2 DFT basis vectors, and the M The linear combination coefficient of 1 DFT basis vector and the linear combination coefficient
  • the access network device receives the long-period reporting amount fed back by the terminal.
  • the long-period reporting amount is that the terminal divides the beam set into two parts according to the energy difference of the characteristic subspace beams, and the part with stronger energy uses More DFT basis vectors are linearly combined to represent, and the beams with weaker energy are represented by less DFT basis vectors, so that the overall accuracy of beam quantization projection is improved with a certain cost, and the accuracy of PMI feedback is improved. Or achieve the effect of reducing overhead with as little performance loss as possible.
  • the method further includes: the access network device sending first projection quantization information to the terminal, where the first projection quantization information includes at least one of the following: first eigensubspace beam Grouping information, first DFT basis vector selection range information, and first DFT basis vector number information; and the access network device restores the N characteristic subspace beams according to the long-period reporting amount, including: the The access network device restores the N eigensubspace beams according to the first projection quantization information and the long-period reported amount.
  • the method further includes: the access network device receiving second projection quantization information from the terminal, where the second projection quantization information includes at least one of the following: a second signature Spatial beam grouping information, second DFT basis vector selection range information, and second DFT basis vector number information; and the access network device restores the N characteristic subspace beams according to the long-period reporting amount, including: The access network device restores the N characteristic subspace beams according to the first projection quantization information, the second projection quantization information, and the long-period reporting amount.
  • the method further includes: the access network device receiving a short-period report amount of the PMI from the terminal, where the short-period report amount includes a beam superposition coefficient; and the The access network device determines channel information or a precoding matrix according to the short-period reporting amount and the long-period reporting amount, and the channel information or precoding matrix is represented by the linear superposition of the N eigensubspace beams.
  • the method further includes: the access network device performing the restoration on the restored performing orthogonalization processing on the N eigensubspace beams; and the access network device determines the channel information or the predetermined encoding matrix.
  • a channel state information feedback method includes: the terminal obtains the long-period reporting amount of the precoding index PMI in the channel state information, wherein the long-period reporting amount is used for Determine N eigensubspace beams, the N eigensubspace beams include N 1 eigensubspace beams and N 2 eigensubspace beams, the N 1 eigensubspace beams are determined by the first set of discrete Fourier
  • the linear combination of M 1 DFT basis vectors in the transformed DFT basis vector combination is characterized, and the N 2 characteristic subspace beams are characterized by the linear combination of M 2 DFT basis vectors in the second group of DFT basis vector combinations, N, N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting quantity includes the indication information of the M 1 DFT basis vectors, the indication information of the M 2 DFT basis vectors, the M 1 The linear combination coefficient of the DFT basis vector and the linear combination
  • the method before the terminal sends the short-period report amount of PMI, the method further includes: the terminal performs orthogonalization processing on the N eigensubspace beams; and the terminal according to the The N characteristic subspace beams subjected to the orthogonalization process are used to determine the beam superposition coefficients.
  • the terminal determines the beam superposition coefficient according to the orthogonalized beam and reports the beam superposition coefficient, so that the access network device restores the orthogonalized beam and the short-period reporting quantity based on the long-period reporting quantity, The channel information/precoding matrix can be recovered more accurately.
  • a channel state information feedback method includes: an access network device receiving a long-period report amount of a precoding index PMI in the channel state information, wherein the long-period report
  • the quantity is used to determine N eigensubspace beams, and the N eigensubspace beams include N 1 eigensubspace beams and N 2 eigensubspace beams, and the N 1 eigensubspace beams are discretized by the first group
  • the M1 DFT basis vector linear combination in the Fourier transform DFT basis vector combination is characterized, and the N2 characteristic subspace beams are characterized by the M2 DFT basis vector linear combination in the second group of DFT basis vector combinations, N , N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting amount includes the indication information of the M 1 DFT basis vectors and the indication information of the M 2 DFT basis vectors, and the The linear combination coefficients of M 1 DFT basis vectors and
  • the method further includes: the access network device restores the restored Orthogonalization processing is performed on N eigensubspace beams; and the access network device determines the channel information or the precoding according to the beam superposition coefficient and the N eigensubspace beams subjected to the orthogonalization processing matrix.
  • a channel state information feedback device may implement the method in the first aspect above.
  • the channel state information feedback device may be a chip or a terminal.
  • the above method can be realized by software, hardware, or by executing corresponding software by hardware.
  • the apparatus includes: a transceiver unit and a processing unit; wherein: the processing unit is configured to obtain the long-period reporting amount of the precoding index PMI in the channel state information, wherein the long The periodic reporting amount is used to determine N characteristic subspace beams, and the N characteristic subspace beams include N 1 characteristic subspace beams and N 2 characteristic subspace beams, and the N 1 characteristic subspace beams are determined by the first
  • the M 1 DFT basis vector linear combination in the set of discrete Fourier transform DFT basis vector combinations is characterized, and the N 2 eigensubspace beams are characterized by the M 2 DFT basis vector linear combinations in the second set of DFT basis vector combinations , N, N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting amount includes the indication information of the M 1 DFT basis vectors, the indication information of the M 2 DFT basis vectors,
  • the transceiving unit is further configured to receive first projection quantization information, where the first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information, Information about the number of first DFT basis vectors; and the processing unit, configured to determine the long-period reporting amount according to the first projection quantization information.
  • first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information, Information about the number of first DFT basis vectors; and the processing unit, configured to determine the long-period reporting amount according to the first projection quantization information.
  • the transceiving unit is further configured to send second projection quantization information, where the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information, second DFT basis vector number information; and the processing unit is further configured to determine the long-period reporting amount according to the first projection quantization information and the second projection quantization information.
  • the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information, second DFT basis vector number information
  • the processing unit is further configured to determine the long-period reporting amount according to the first projection quantization information and the second projection quantization information.
  • the processing unit is further configured to determine a short-period reporting amount of the PMI, the short-period reporting amount includes a beam superposition coefficient, and the long-period reporting amount and the short-period reporting amount are used to determine a channel information or a precoding matrix, wherein the channel information or precoding matrix is represented by the linear superposition of the N eigensubspace beams; and the transceiver unit is further configured to send the short-period reporting amount of the PMI.
  • the processing unit is further configured to perform orthogonalization processing on the N eigensubspace beams; and the processing unit is further configured to perform orthogonalization processing on the N eigensubspace beams according to the orthogonalization processing
  • the beam stacking coefficients are determined.
  • the apparatus for feeding back channel state information is configured to execute the method in the above first aspect and various possible implementations thereof.
  • a channel state information feedback device may implement the method in the second aspect above.
  • the channel state information feedback device may be a chip or an access network device.
  • the above method can be realized by software, hardware, or by executing corresponding software by hardware.
  • the apparatus includes: a transceiving unit and a processing unit; wherein: the transceiving unit is configured to receive the long-period report quantity of the precoding index PMI in the channel state information, wherein the long-period
  • the periodic reporting amount is used to determine N characteristic subspace beams, and the N characteristic subspace beams include N 1 characteristic subspace beams and N 2 characteristic subspace beams, and the N 1 characteristic subspace beams are determined by the first
  • the M 1 DFT basis vector linear combination in the set of discrete Fourier transform DFT basis vector combinations is characterized, and the N 2 eigensubspace beams are characterized by the M 2 DFT basis vector linear combinations in the second set of DFT basis vector combinations , N, N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting amount includes the indication information of the M 1 DFT basis vectors and the indication information of the M 2 DFT basis vectors,
  • the transceiver unit is further configured to send first projection quantization information, where the first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information, Information about the number of first DFT basis vectors; and the processing unit, configured to recover the N eigensubspace beams according to the first projection quantization information and the long-period reported amount.
  • first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information, Information about the number of first DFT basis vectors.
  • the transceiving unit is further configured to receive second projection quantization information, where the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information, Information on the number of second DFT basis vectors; and the processing unit is further configured to restore the N feature subspaces according to the first projection quantization information, the second projection quantization information, and the long-period reporting amount beam.
  • the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information, Information on the number of second DFT basis vectors.
  • the transceiving unit is further configured to receive the short-period reporting amount of the PMI, the short-period reporting amount includes a beam superposition coefficient; and the processing unit is further configured to receive the short-period reporting amount and the The long-period reporting quantity determines channel information or a precoding matrix, and the channel information or precoding matrix is represented by a linear superposition of the N characteristic subspace beams.
  • the processing unit is further configured to perform orthogonalization processing on the recovered N eigensubspace beams; and the processing unit is further configured to perform orthogonalization processing according to the beam superposition coefficient and the orthogonalization
  • the processed N eigensubspace beams are used to determine the channel information or the precoding matrix.
  • the apparatus for feeding back channel state information is used to implement the method in the above second aspect and various possible implementations thereof.
  • the first characteristic subspace beam grouping information includes: the N, the N 1 ; or the N, beam ratio ⁇ ; or the N; or the N 1 , the N 2 .
  • the first DFT basis vector selection range information is used to indicate that the second group of DFT basis vectors is the A subset of the first set of DFT basis vectors.
  • the M 1 DFT basis vectors and the M 2 DFT basis vectors are indicated by means of combination numbers ;
  • the dimension of the eigensubspace beam is P ⁇ 1, and the corresponding DFT basis vector set includes P DFT basis vectors, and the indication information of the M 1 DFT basis vectors is used to indicate that from the P DFT basis vectors One of a plurality of first basis vector groups selected, wherein the first basis vector group includes M 1 basis vectors; and the indication information of the M 2 DFT basis vectors is used to indicate that from the M 1 One of a plurality of second basis vector groups selected from the DFT basis vectors, wherein the second basis vector group includes M 2 basis vectors.
  • the M1 DFT basis vectors are indicated by means of a first bitmap, and the first The bitmap includes P bits, the bit values corresponding to the selected M 1 DFT basis vectors are the first value, and the bit values corresponding to the unselected (PM 1 ) DFT basis vectors are the second value; and the The M 2 DFT basis vectors are indicated by means of a second bit bitmap, the second bit bitmap includes M 1 bits, and the bit values corresponding to the selected M 2 DFT basis vectors are the first value, not Bit values corresponding to the selected (M 1 -M 2 ) DFT basis vectors are the second value.
  • the first DFT basis vector selection range information is used to indicate that the second group of DFT basis vectors is not the A subset of the first set of DFT basis vectors.
  • the dimension of the eigensubspace beam is P ⁇ 1
  • the corresponding complete set of DFT basis vectors includes P DFT basis vector
  • the indication information of the M 1 DFT basis vectors is used to indicate one of a plurality of third basis vector groups selected from the P DFT basis vectors, wherein the third basis vector group includes M 1 basis vector
  • the indication information of the M 2 DFT basis vectors is used to indicate one of a plurality of fourth basis vector groups selected from the P DFT basis vectors, wherein the fourth basis The set of vectors includes M2 basis vectors.
  • the M1 DFT basis vectors are indicated by means of a third bitmap, and the third The bitmap includes P bits, the bit values corresponding to the selected M 1 DFT basis vectors are the first value, and the bit values corresponding to the unselected (PM 1 ) DFT basis vectors are the second value; and the The M 2 DFT basis vectors are indicated by means of a fourth bit bitmap, the fourth bit bitmap includes P bits, and the bit values corresponding to the selected M 2 DFT basis vectors are the first value, and are not selected The bit values corresponding to the selected (PM 2 ) DFT basis vectors are the second value.
  • the first DFT basis vector number information includes: the M 1 , the basis vector number ratio ⁇ ; Or the M 1 ; or the M 1 , the M 2 .
  • a channel state information feedback device may implement the method in the third aspect above.
  • the channel state information feedback device may be a chip or a terminal.
  • the above method can be realized by software, hardware, or by executing corresponding software by hardware.
  • the apparatus includes: a transceiver unit and a processing unit; wherein: the processing unit is configured to obtain the long-period reporting amount of the precoding index PMI in the channel state information, wherein the long The periodic reporting amount is used to determine N characteristic subspace beams, and the N characteristic subspace beams include N 1 characteristic subspace beams and N 2 characteristic subspace beams, and the N 1 characteristic subspace beams are determined by the first
  • the M 1 DFT basis vector linear combination in the set of discrete Fourier transform DFT basis vector combinations is characterized, and the N 2 eigensubspace beams are characterized by the M 2 DFT basis vector linear combinations in the second set of DFT basis vector combinations , N, N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting amount includes the indication information of the M 1 DFT basis vectors, the indication information of the M 2 DFT basis vectors,
  • the processing unit is further configured to perform orthogonalization processing on the N eigensubspace beams; and the processing unit is further configured to perform orthogonalization processing on the N eigensubspace beams according to the orthogonalization processing
  • the beam stacking coefficients are determined.
  • the apparatus for feeding back channel state information is configured to implement the method in the above third aspect and various possible implementations thereof.
  • a channel state information feedback device may implement the method in the fourth aspect above.
  • the channel state information feedback device may be a chip or an access network device.
  • the above method can be realized by software, hardware, or by executing corresponding software by hardware.
  • the apparatus includes: a transceiving unit and a processing unit; wherein: the transceiving unit is configured to receive the long-period report quantity of the precoding index PMI in the channel state information, wherein the long-period
  • the periodic reporting amount is used to determine N characteristic subspace beams, and the N characteristic subspace beams include N 1 characteristic subspace beams and N 2 characteristic subspace beams, and the N 1 characteristic subspace beams are determined by the first
  • the M 1 DFT basis vector linear combination in the set of discrete Fourier transform DFT basis vector combinations is characterized, and the N 2 eigensubspace beams are characterized by the M 2 DFT basis vector linear combinations in the second set of DFT basis vector combinations , N, N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting amount includes the indication information of the M 1 DFT basis vectors and the indication information of the M 2 DFT basis vectors,
  • the processing unit is further configured to perform orthogonalization processing on the recovered N eigensubspace beams; and the processing unit is further configured to perform orthogonalization processing according to the beam superposition coefficient and the orthogonalization
  • the processed N eigensubspace beams are used to determine the channel information or the precoding matrix.
  • the apparatus for feeding back channel state information is used to implement the method in the above fourth aspect and various possible implementations thereof.
  • the channel state information feedback apparatus in the fifth aspect to the eighth aspect above includes a processor coupled to a memory; the processor is configured to support the apparatus to perform the above channel state information feedback The corresponding function in the method.
  • the memory is used to couple with the processor, which holds the necessary computer programs (or computer-executable instructions) and/or data of the device.
  • the channel state information feedback device may further include a communication interface for supporting communication between the device and other network elements, such as sending or receiving data and/or signals.
  • the communication interface may be a transceiver, a circuit, a bus, a module or other types of communication interfaces.
  • the memory may be located inside the channel state information feedback device and integrated with the processor; it may also be located outside the channel state information feedback device.
  • the channel state information feedback device in the fifth aspect to the eighth aspect above includes a processor and a transceiver device, the processor is coupled to the transceiver device, and the processor is used to execute a computer Programs or instructions to control the transceiver device to receive and send information; when the processor executes the computer program or instructions, the processor is also used to implement the above method through logic circuits or code instructions.
  • the transceiver device may be a transceiver, a transceiver circuit or an input-output interface, which is used to receive signals from other channel state information feedback devices other than the channel state information feedback device and transmit them to the processor or transfer signals from other channel state information feedback devices to the processor.
  • the signal of the processor is sent to other channel state information feedback devices other than the channel state information feedback device.
  • the transceiver device is a transceiver circuit or an input-output interface.
  • the sending unit may be an output unit, such as an output circuit or a communication interface; the receiving unit may be an input unit, such as an input circuit or a communication interface.
  • the sending unit may be a transmitter or a transmitter; the receiving unit may be a receiver or a receiver.
  • a ninth aspect provides a communication system, the communication system includes the channel state information feedback device as described in the fifth aspect or any one of the fifth aspect, and at least one channel state information feedback device as in the sixth aspect or the sixth aspect Any one implements the channel state information feedback device.
  • a tenth aspect provides a communication system, the communication system includes the channel state information feedback device described in any one of the seventh aspect or the seventh aspect, and at least one of the eighth aspect or the eighth aspect Any one implements the channel state information feedback device.
  • a computer-readable storage medium on which a computer program or instruction is stored, and when the program or instruction is executed by a processor, the implementation as described in the first aspect or any implementation of the first aspect is realized.
  • method, or realize the method as described in the second aspect or any one of the second aspect, or realize the method as described in the third aspect or any one of the third aspect, or realize the method as described in the first aspect Any one of the four aspects or the fourth aspect implements the described method.
  • a twelfth aspect provides a computer program product, which, when executed on a computing device, implements the method described in the first aspect or any one of the first aspect, or implements the method described in the second aspect or the first aspect Any one of the two aspects realizes the method described, or realizes the method described in the third aspect or any one of the third aspect, or realizes the fourth aspect or any one of the fourth aspect. described method.
  • Fig. 1 is a schematic diagram of quantization of characteristic subspace beam uniform projection
  • FIG. 2 is a schematic structural diagram of a communication system provided by an embodiment of the present application.
  • FIG. 3 is a schematic structural diagram of a space-frequency joint feature subspace codebook provided by an embodiment of the present application
  • FIG. 4 is a schematic flow diagram of a basic process for obtaining channel state information provided by an embodiment of the present application
  • FIG. 5 is a schematic flowchart of a channel state information feedback method provided in an embodiment of the present application.
  • FIG. 6 is a schematic flowchart of another channel state information feedback method provided by an embodiment of the present application.
  • Fig. 7a is a schematic diagram of a non-uniform projection quantization scheme for characteristic subspace beams provided by an embodiment of the present application.
  • Fig. 7b is a schematic diagram of another characteristic subspace beam non-uniform projection quantization scheme provided by the embodiment of the present application.
  • FIG. 8 is a schematic flowchart of another channel state information feedback method provided by an embodiment of the present application.
  • FIG. 9 is a schematic structural diagram of a channel state information feedback device provided in an embodiment of the present application.
  • FIG. 10 is a schematic structural diagram of another apparatus for feeding back channel state information provided by an embodiment of the present application.
  • the technical solutions provided in this application can be applied to various communication systems.
  • the technical solutions provided in this application can be applied to fifth generation (5 th generation, 5G) communication systems, future evolution systems or various communication fusion systems, etc., and can also be applied to existing communication systems, etc.
  • the application scenarios of the technical solution provided by this application may include various, such as machine-to-machine (M2M), macro-micro communication, enhanced mobile Internet (enhanced mobile broadband, eMBB), ultra-high reliability and ultra-low time Scenarios such as ultra reliable & low latency communication (uRLLC) and massive machine type communication (mMTC).
  • M2M machine-to-machine
  • eMBB enhanced mobile Internet
  • uRLLC ultra-high reliability and ultra-low time Scenarios
  • uRLLC ultra reliable & low latency communication
  • mMTC massive machine type communication
  • These scenarios may include but are not limited to: communication scenarios between terminals, communication scenarios between network devices, communication scenarios between network devices and terminals, and the like
  • FIG. 2 is a schematic structural diagram of a communication system 1000 applied in an embodiment of the present application.
  • the communication system includes a radio access network 100 and a core network 200 .
  • the communication system 1000 may also include the Internet 300 .
  • the radio access network 100 may include at least one access network device (such as 110a and 110b in FIG. 2 ), and may also include at least one terminal (such as 120a-120j in FIG. 2 ).
  • the terminal is connected to the access network device in a wireless manner, and the access network device is connected to the core network in a wireless or wired manner.
  • the core network equipment and the access network equipment can be independent and different physical equipment, or the functions of the core network equipment and the logical functions of the access network equipment can be integrated on the same physical equipment, or they can be integrated on one physical equipment Part of the functions of the core network device and part of the functions of the access network device are specified. Terminals and access network devices can be connected to each other in a wired or wireless manner.
  • FIG. 2 is only a schematic diagram.
  • the communication system may also include other network devices, such as wireless relay devices and wireless backhaul devices, which are not shown in FIG. 2 .
  • the access network equipment can be a base station (base station), an evolved base station (evolved NodeB, eNodeB), a transmission reception point (transmission reception point, TRP), and a next-generation base station in the fifth generation (5th generation, 5G) mobile communication system (next generation NodeB, gNB), the next-generation base station in the sixth generation (6th generation, 6G) mobile communication system, the base station in the future mobile communication system or the access node in the WiFi system, etc.; it can also be the completion of the access network
  • the module or unit of some functions of the device for example, can be a centralized unit (central unit, CU) or a distributed unit (distributed unit, DU).
  • the access network device may be a macro base station (such as 110a in Figure 2), a micro base station or an indoor station (such as 110b in Figure 2), or a relay node or a donor node.
  • the embodiment of the present application does not limit the specific technology and specific equipment form adopted by the access network equipment.
  • a terminal may also be called terminal equipment, user equipment (user equipment, UE), mobile station, mobile terminal, and so on.
  • Terminals can be widely used in various scenarios, such as device-to-device (D2D), vehicle-to-everything (V2X) communication, machine-type communication (MTC), Internet of Things ( internet of things, IOT), virtual reality, augmented reality, industrial control, autonomous driving, telemedicine, smart grid, smart furniture, smart office, smart wearables, smart transportation, smart city, etc.
  • Terminals can be mobile phones, tablet computers, computers with wireless transceiver functions, wearable devices, vehicles, drones, helicopters, airplanes, ships, robots, robotic arms, smart home devices, etc.
  • the embodiment of the present application does not limit the specific technology and specific device form adopted by the terminal.
  • Access network equipment and terminals can be fixed or mobile. Access network equipment and terminals can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; they can also be deployed on aircraft, balloons and artificial satellites in the air.
  • the embodiments of the present application do not limit the application scenarios of the access network device and the terminal.
  • the helicopter or UAV 120i in FIG. 2 can be configured as a mobile access network equipment.
  • terminal 120i is an access network device; but for access network device 110a, 120i is a terminal, that is, communication between 110a and 120i is performed through a wireless air interface protocol.
  • communication between 110a and 120i may also be performed through an interface protocol between access network devices.
  • 120i is also an access network device. Therefore, both access network equipment and terminals can be collectively referred to as communication devices, 110a and 110b in FIG. 2 can be referred to as communication devices with access network equipment functions, and 120a-120j in FIG. communication device.
  • Communication between access network devices and terminals, between access network devices and access network devices, and between terminals can be performed through licensed spectrum, or through license-free spectrum, or through licensed spectrum and free spectrum at the same time.
  • Authorized spectrum for communication; communication can be performed through spectrum below 6 GHz (gigahertz, GHz), can also be used for communication through spectrum above 6 GHz, and can also use spectrum below 6 GHz and spectrum above 6 GHz for communication at the same time.
  • the embodiments of the present application do not limit the frequency spectrum resources used for wireless communication.
  • the functions of the access network equipment may also be performed by modules (such as chips) in the access network equipment, or may be performed by a control subsystem including the functions of the access network equipment.
  • the control subsystem including the functions of the access network equipment may be the control center in the above application scenarios such as smart grid, industrial control, intelligent transportation, and smart city.
  • the functions of the terminal may also be performed by a module (such as a chip or a modem) in the terminal, or may be performed by a device including the terminal function.
  • the access network device sends downlink signals or information to the terminal, and the downlink information is carried on the downlink channel; the terminal sends an uplink signal or uplink information to the access network device, and the uplink information is carried on the uplink channel.
  • the terminal In order to communicate with the access network device, the terminal needs to establish a wireless connection with the cell controlled by the access network device.
  • the cell with which a terminal has established a wireless connection is called the serving cell of the terminal.
  • the serving cell When the terminal communicates with the serving cell, it will also be interfered by signals from neighboring cells.
  • the 5G communication system has higher requirements on system capacity and spectrum efficiency.
  • the application of massive multiple antenna technology plays a vital role in improving the spectral efficiency of the system.
  • the access network device needs to precode the data before sending the data to the terminal. How to perform precoding depends on the CSI fed back by the user to the access network device, so accurate CSI feedback information is an important factor affecting system performance.
  • the access network device can use the reciprocity of the channel to obtain the CSI of the downlink channel through the uplink channel, and then perform precoding.
  • step S301 the access network device first needs to send channel measurement configuration information to the terminal.
  • the channel measurement configuration information is used for channel measurement configuration, and notifies the terminal of the time and behavior of channel measurement.
  • step S302 the access network device sends a pilot (reference signal, RS) to the terminal for channel measurement.
  • RS reference signal
  • step S303 the terminal measures and calculates the final CSI feedback amount according to the pilot sent by the access network device, and feeds back the CSI to the access network device.
  • step S304 the access network device sends data according to the CSI fed back by the terminal.
  • the access network device is used to determine the number of streams to transmit data to the terminal according to the channel rank indicator (rank indicator, RI) fed back by the terminal;
  • the access network device is used to Determine the modulation order of the data transmitted to the terminal and the code rate of the channel coding;
  • the access network equipment is used to determine the precoding of the data transmitted to the terminal according to the PMI fed back by the terminal.
  • FDD CSI feedback is determined and reported based on a set of codebooks, and the design of FDD CSI codebooks is a basic and important issue in 5G communication systems.
  • FDD CSI feedback is based on the information of the access network device side for channel quantization, and the PMI fed back by the terminal is based on the main eigenvector of the transmitter on the access network device side of the channel.
  • the R15 Type II codebook adopts the idea of spatial domain (angle) compression, and characterizes the main eigenvector (that is, the precoding matrix of a single user) by a linear combination of several DFT basis vectors in the spatial domain.
  • the R16 Type II codebook uses the frequency domain correlation of the amplitude and phase coefficients of different subbands on the basis of the R15 codebook to increase the frequency domain (time delay) compression, and uses several spatial domain DFT basis vectors for the main eigenvector and several frequency-domain DFT basis vector bilinear combination representations.
  • the characteristic subspace beam can also be called the statistical characteristic subspace beam, which is a vector or vector group that can be used to represent the statistical variation law of the channel in the air domain, or in the frequency domain, or in the air domain and the frequency domain. It is usually obtained by performing eigenvalue decomposition on the statistical covariance matrix of channel information.
  • the codebook can be characterized by a set of characteristic subspace beams in the form of a bilinear combination similar to the space domain and frequency domain of the R16 Type II codebook; it can also be a combination of space and frequency domains, using a set of space
  • the eigensubspace beam linear combination representation of as shown in Figure 4.
  • H is the matrix corresponding to the characteristic subspace beam
  • N t represents the number of transmission ports of the access network equipment
  • N f represents the number of frequency domain units
  • N t *N f indicates that the characteristic subspace beam is combined in the space and frequency domains
  • the dimension of the row vector of the matrix H is N r or the order of the rank (rank)
  • N r represents the number of receiving ports of the terminal.
  • the terminal needs to feed back eigensubspace beams in a long period (the long-period reporting amount is matrix B in FIG. 4 ), and feedback beam superposition coefficients in a short period (matrix C 2 in FIG. 4 ). If the method of scalar quantization (that is, each value of the matrix B is fed back to the access network device) directly feeds back each element of the eigensubspace beam in a long period, the feedback overhead is relatively large.
  • the uniform projection quantization scheme in the background technology is used to feed back the long-period reporting quantity, the recovery accuracy of the eigensubspace beam is limited, and the accuracy of the PMI will be affected.
  • this application provides a channel state information feedback scheme.
  • the terminal divides the beam set into two parts according to the energy difference of the characteristic subspace beams, and the beams with stronger energy are represented by linear combination of more DFT basis vectors. , the beams with weaker energy are represented by linear combination of fewer DFT basis vectors, and the overall accuracy of beam quantization projection is improved with a certain overhead, thereby improving the accuracy of PMI feedback, or under the premise of as little performance loss as possible To achieve the effect of cost reduction.
  • FIG. 5 it is a schematic flowchart of a channel state information feedback method provided by the embodiment of the present application.
  • the method may include the steps of:
  • the terminal obtains the long-period reporting amount of the PMI in the channel state information.
  • the long-period reporting amount is used to determine N characteristic subspace beams
  • the N characteristic subspace beams include N 1 characteristic subspace beams and N 2 characteristic subspace beams
  • the N 1 characteristic subspace beams are determined by the first
  • the M 1 DFT basis vectors in the first group of DFT basis vector combinations are represented by the linear combination of DFT basis vectors
  • the N 2 eigensubspace beams are represented by the M 2 DFT basis vector linear combinations in the second group of DFT basis vector combinations, N, N 1 , N 2.
  • Both M 1 and M 2 are positive integers, and the long-period reporting quantity includes indication information of M 1 DFT basis vectors, indication information of M 2 DFT basis vectors, linear combination coefficients of M 1 DFT basis vectors and M Linear combination coefficients of 2 DFT basis vectors.
  • the N characteristic subspace beams are divided into at least two groups.
  • the N eigensubspace beams are divided into two groups: the first group of beams includes N 1 eigensubspace beams with stronger energy, and the second group of beams includes N 2 eigensubspace beams with weaker energy.
  • the N 1 eigensubspace beams are characterized by the linear combination of M 1 DFT basis vectors in the first set of DFT basis vector combinations, and the N 2 eigensubspace beams are combined by the second set of DFT basis vectors A linear combination of M 2 DFT basis vectors in the representation.
  • N, N 1 , N 2 , M 1 , and M 2 are all positive integers.
  • Non-uniform quantization is achieved by means of beam grouping, which can improve the overall accuracy of beam quantization projection.
  • the complete set of DFT basis vectors corresponding to the N eigensubspace beams includes P DFT basis vectors
  • the first group of DFT basis vector combinations includes M 1 DFT basis vectors among the P DFT basis vectors.
  • the second group of DFT basis vector combinations includes P DFT basis vectors or M 2 DFT basis vectors among the M 1 DFT basis vectors. Therefore, the long-period reporting quantity includes indication information of M 1 DFT basis vectors, indication information of M 2 DFT basis vectors, linear combination coefficients of M 1 DFT basis vectors and linear combination coefficients of M 2 DFT basis vectors .
  • the first group of beams may also include N 1 eigensubspace beams with weaker energy
  • the second group of beams may include N 2 eigensubspace beams with stronger energy
  • the N 1 eigensubspace beams Using the linear combination of M 1 DFT basis vectors in the first set of DFT basis vector combinations to represent, and the N 2 eigensubspace beams are represented by the linear combination of M 2 DFT basis vectors in the second set of DFT basis vector combinations, then M 1 ⁇ M 2 .
  • the complete set of DFT basis vectors corresponding to the N eigensubspace beams includes P DFT basis vectors
  • the first group of DFT basis vectors includes P DFT basis vectors or M 1 DFT basis vectors among the M 2 DFT basis vectors.
  • the second group of DFT basis vector combinations includes M 2 DFT basis vectors among the P DFT basis vectors. Therefore, the long-period reporting quantity includes indication information of M 1 DFT basis vectors, indication information of M 2 DFT basis vectors, linear combination coefficients of M 1 DFT basis vectors and linear combination coefficients of M 2 DFT basis vectors .
  • Example A As an example.
  • Example B For the specific implementation of Example B, reference may be made to the implementation of Example A, which will not be repeated in this application.
  • the terminal sends the long-period reporting volume of the PMI to the access network device.
  • the access network device receives the long-period reporting amount.
  • the terminal After acquiring the long-period reporting amount of the PMI, the terminal sends the long-period reporting amount of the PMI to the access network device.
  • the terminal divides the beam set into two groups according to the energy difference of the characteristic subspace beams, the beams with stronger energy are represented by more linear combination of DFT basis vectors, and the beams with weaker energy are represented by linear combination of less DFT basis vectors.
  • Combined characterization therefore, with a certain overhead, can improve the overall accuracy of beam quantization projection, thereby improving the accuracy of PMI feedback, or achieve the effect of reducing overhead with as little performance loss as possible.
  • the access network device restores the N characteristic subspace beams according to the long-period reported amount.
  • the access network device receives the long-period reporting amount of PMI sent by the terminal, and can recover N characteristic subspace beams according to the long-period reporting amount.
  • the terminal divides the beam set into two parts according to the energy difference of the characteristic subspace beams, and the beams with stronger energy are represented by linear combination of more DFT basis vectors , the beams with weaker energy are represented by linear combination of fewer DFT basis vectors, and the overall accuracy of beam quantization projection is improved with a certain overhead, thereby improving the accuracy of PMI feedback, or under the premise of as little performance loss as possible To achieve the effect of cost reduction.
  • FIG. 6 it is a schematic flowchart of another channel state information feedback method provided by the embodiment of the present application.
  • the method may include the steps of:
  • the access network device sends the first projection quantization information to the terminal.
  • the first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information, and first DFT basis vector number information.
  • the terminal receives the first projection quantization information.
  • the terminal determines the long-period reporting amount of the PMI, it needs to perform non-uniform projection quantization on the N characteristic subspace beams.
  • the terminal needs to perform non-uniform projection quantization according to the projection quantization information, so as to determine the aforementioned long-period reporting quantity.
  • the projection quantization information may be configured by the access network device. Specifically, the access network device sends the first projection quantization information to the terminal, and the terminal receives the first projection quantization information.
  • the first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information, and first DFT basis vector number information.
  • the access network device may use radio resource control (radio resource control, RRC) signaling, medium access control-control element (medium access control-control element, MAC-CE), downlink control information (downlink control information , DCI) and the like to send the above-mentioned first projection quantization information.
  • RRC radio resource control
  • the terminal may also report projection quantization information to the access network device. Specifically, the terminal sends the second projection quantization information to the access network device, and the access network device receives the second projection quantization information.
  • the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information, and second DFT basis vector number information.
  • the information included in the second projection quantization information may be supplementary to the first projection quantization information.
  • the meanings of each piece of information in the second projection quantization information are the same as those of the first projection quantization information. In the following description, the second projection quantization information will be described interspersedly.
  • the first eigensubspace beam grouping information is used to indicate how to group the eigensubspace beams.
  • the N characteristic subspace beams are divided into at least two groups.
  • the N eigensubspace beams are divided into two groups: the first group of beams includes N 1 eigensubspace beams with stronger energy, and the second group of beams includes N 2 eigensubspace beams with weaker energy.
  • the first eigensubspace beam grouping information includes:
  • the access network device may indicate the number N 1 of the first group of beams and the number N 2 of the second group of beams, and the terminal may directly obtain N 1 and N 2 ; or
  • the access network device may indicate the total number N of characteristic subspace beams, and the second characteristic subspace beam grouping information may include one or more of the grouped numbers N 1 and N 2 of characteristic subspace beams.
  • the second group of DFT basis vectors is a subset of the first group of DFT basis vectors; Or the second set of DFT basis vectors is not a subset of the first set of DFT basis vectors.
  • the second set of DFT basis vectors is a subset of the first set of DFT basis vectors.
  • the complete set of DFT basis vectors corresponding to the N eigensubspace beams includes P DFT basis vectors
  • the first group of DFT basis vectors includes M1 DFT basis vectors in the P DFT basis vectors ( The matrix in Figure 7a ).
  • the second group of DFT basis vectors includes M 2 DFT basis vectors among the M 1 DFT basis vectors.
  • Fig. 7b is a schematic diagram of another eigensubspace beam non-uniform projection quantization scheme provided by the embodiment of the present application.
  • the second group of DFT basis vectors is not a subset of the first group of DFT basis vectors.
  • the complete set of DFT basis vectors corresponding to the N eigensubspace beams includes P DFT basis vectors
  • the first set of DFT basis vectors includes M 1 of the P DFT basis vectors DFT basis vector (matrix in Fig. 7b ).
  • the second group of DFT basis vectors includes M 2 DFT basis vectors in the P DFT basis vectors (as shown in the matrix in Figure 7b ).
  • the second group of DFT basis vectors may or may not have an intersection with the first group of DFT basis vectors.
  • the first DFT basis vector selection range information may be used to indicate that the second group of DFT basis vectors is a subset of the first group of DFT basis vectors, or the second group of DFT basis vectors is not a subset of the first group of DFT basis vectors; or
  • the protocol may predefine that the second set of DFT basis vectors is a subset of the first set of DFT basis vectors, or that the second set of DFT basis vectors is not a subset of the first set of DFT basis vectors; or
  • the second DFT basis vector selection range information may be used to indicate that the second group of DFT basis vectors is a subset of the first group of DFT basis vectors, or that the second group of DFT basis vectors is not a subset of the first group of DFT basis vectors.
  • the information on the number of the first DFT basis vectors is used to indicate the number of DFT basis vectors in the first group of DFT basis vector combinations, and the number of DFT basis vectors in the second group of DFT basis vector combinations.
  • the number information of the first DFT basis vector may include:
  • the access network device indicates the number M 1 of the first group of DFT basis vectors and the ratio of the number of basis vectors ⁇ , then the terminal can determine according to M 1 and ⁇ or or
  • the access network device indicates the number M 1 of the first group of DFT basis vectors, the protocol predefined basis vector number ratio ⁇ or the above-mentioned second DFT basis vector number information indicates the basis vector number ratio ⁇ , then the terminal can according to M 1 , ⁇ , determined or or
  • the access network device indicates the number M 1 of the first group of DFT basis vectors and the number M 2 of the second group of DFT basis vectors, and the terminal can directly obtain M 1 and M 2 ; or
  • the terminal indicates the number M 1 of the first group of DFT basis vectors and the number M 2 of the second group of DFT basis vectors in the second number information of the number of DFT basis vectors.
  • the terminal determines the long-period reporting amount according to the first projection quantization information.
  • the terminal may determine the long-period reporting amount according to the first projection quantization information.
  • non-uniform projection quantization is performed according to the first projection quantization information to obtain the long-period reporting quantity.
  • the terminal may further send the second projection quantization information to the access network device, and then the terminal may determine the long-period reporting amount according to the first projection quantization information and the second projection quantization information.
  • step S501 For the specific implementation of this step, reference may be made to step S501 in the foregoing embodiment.
  • the long-period reporting amount includes indication information of the M 1 DFT basis vectors, indication information of the M 2 DFT basis vectors, linear combination coefficients of the M 1 DFT basis vectors, and the M 2 DFT basis vectors Vector of linear combination coefficients.
  • the indication information of M 1 DFT basis vectors and M 2 DFT basis vectors is also different.
  • the second set of DFT basis vectors is a subset of the first set of DFT basis vectors.
  • M 1 DFT basis vectors and M 2 DFT basis vectors can be indicated in the following two ways:
  • M 1 DFT basis vectors and M 2 DFT basis vectors are indicated by way of combination numbers:
  • the corresponding complete set of DFT basis vectors includes P DFT basis vectors
  • the indication information of M 1 DFT basis vectors is used to indicate the number of selected from the P DFT basis vectors.
  • the first basis vector group includes M 1 basis vectors.
  • C represents permutation and combination.
  • the indication information of the M 2 DFT basis vectors is used to indicate one of multiple second basis vector groups selected from the M 1 DFT basis vectors, where the second basis vector group includes M 2 basis vectors.
  • the second basis vector group includes M 2 basis vectors.
  • M 2 2
  • the second basis vector group can have , M 2 basis vectors can be Any one of the second basis vector set.
  • M 1 DFT basis vectors and M 2 DFT basis vectors require a total of bit indication.
  • M 1 DFT basis vectors are indicated by means of the first bit bitmap, the first bit bitmap includes P bits, and the bit values corresponding to the selected M 1 DFT basis vectors are the first value , the bit values corresponding to the unselected (PM 1 ) DFT basis vectors are the second value.
  • the M 2 DFT basis vectors are indicated by means of the second bitmap, the second bitmap includes M 1 bits, the bit values corresponding to the selected M 2 DFT basis vectors are the first value, and are not selected The bit values corresponding to the (M 1 -M 2 ) DFT basis vectors are the second value.
  • M 1 DFT basis vectors and M 2 DFT basis vectors require (P+M M ) bit indications in total.
  • M 1 DFT basis vectors and M 2 DFT basis vectors can be indicated in the following two ways:
  • One implementation is as follows: assuming that the dimension of the eigensubspace beam is P ⁇ 1, the corresponding DFT basis vector set includes P DFT basis vectors, and the indication information of M 1 DFT basis vectors is used to indicate the selection from the P DFT basis vectors
  • the third basis vector group includes M 1 basis vectors.
  • the indication information of the M 2 DFT basis vectors is used to indicate one of multiple fourth basis vector groups selected from the P DFT basis vectors, where the fourth basis vector group includes M 2 basis vectors.
  • M 1 DFT basis vectors and M 2 DFT basis vectors require a total of bit indication.
  • M 1 DFT basis vectors are indicated by means of a third bit bitmap, the third bit bitmap includes P bits, and the bit values corresponding to the selected M 1 DFT basis vectors are the first value , the bit values corresponding to the unselected (PM 1 ) DFT basis vectors are the second value;
  • the M 2 DFT basis vectors are indicated by means of the fourth bit bitmap, the fourth bit bitmap includes P bits, the bit value corresponding to the selected M 2 DFT basis vectors is the first value, and the bit value corresponding to the unselected The bit values corresponding to the two DFT basis vectors of PM are the second value.
  • M 1 DFT basis vectors and M 2 DFT basis vectors require 2P bit indications in total.
  • the above-mentioned first value may be "1", which is used to indicate that the DFT basis vector is selected; then the second value may be "0", which is used to indicate that the DFT basis vector is not selected.
  • the above-mentioned first value may be "0”, which is used to indicate that the DFT basis vector is selected; then the second value may be "1", which is used to indicate that the DFT basis vector is not selected. This application is not limited to this.
  • N 1 M 1 linear combination coefficients of the M 1 DFT basis vectors there are N 1 M 1 linear combination coefficients of the M 1 DFT basis vectors, and N 2 M 2 linear combination coefficients of the M 2 DFT basis vectors.
  • the terminal performs orthogonalization processing on the N eigensubspace beams.
  • the terminal determines and feeds back the long-period reporting volume of the PMI, and may further determine and feed back the short-period reporting volume of the PMI.
  • the short-period reporting quantity includes beam superposition coefficients.
  • the above-mentioned long-period reporting amount and the short-period reporting amount are used to determine channel information or a precoding matrix, and the channel information or precoding matrix is represented by the linear superposition of the N characteristic subspace beams.
  • the eigensubspace beam for the quantitative feedback of the eigensubspace beam, whether it is uniform projection quantization or non-uniform projection quantization, it is a lossy quantization method.
  • the characteristic subspace beams are mutually orthogonal.
  • the terminal reports the indication information of the DFT basis vector and the linear combination coefficient.
  • Subspace beamgroups are non-orthogonal between beams due to lossy quantization.
  • the downlink channel information or principal eigenvectors represented by the linear/bilinear combination of non-orthogonal quantized eigensubspace beams will lead to a decrease in accuracy and thus performance loss.
  • the terminal and the access network device can predefine the quantized eigensubspace beam group orthogonalization method by agreement, including but not limited to orthogonal triangle (orthogonal triangle, QR) decomposition, Schmidt orthogonalization wait.
  • orthogonal triangle orthogonal triangle, QR
  • Schmidt orthogonalization wait
  • the terminal After the terminal obtains the long-period reporting quantity of the characteristic subspace beam and feeds back the long-period reporting quantity, it may further perform orthogonalization processing on the N characteristic subspace beams according to the above-mentioned predefined orthogonalization method.
  • the terminal determines beam superposition coefficients according to the N eigensubspace beams subjected to the orthogonalization process.
  • the terminal After performing orthogonalization processing on the N eigensubspace beams, the terminal determines beam superposition coefficients according to the N eigensubspace beams subjected to the orthogonalization processing. Exemplarily, the terminal determines and reports the beam linear combination coefficients in a short period according to the quantized and orthogonalized beams and downlink channel information or main eigenvectors.
  • the terminal sends the long-period reporting amount and the short-period reporting amount of the PMI to the access network device.
  • the access network device receives the long-period reporting amount and the short-period reporting amount.
  • the access network device recovers N eigensubspace beams according to the first projection quantization information and the long-period reported amount.
  • the access network device After receiving the long-period reporting amount reported by the terminal, the access network device can recover the quantized eigensubspace beam according to the long-period reporting amount and the codebook structure predefined by the protocol.
  • the access network device performs orthogonalization processing on the recovered N eigensubspace beams.
  • the access network device After the access network device restores the quantized eigensubspace beams, it can use the orthogonalization method predefined in the protocol to perform orthogonalization processing on the restored eigensubspace beams.
  • the access network device determines channel information or a precoding matrix according to the beam stacking coefficients and the N eigensubspace beams processed by orthogonalization.
  • the access network device obtains the downlink channel information or main eigenvector that the terminal wants to feed back based on the quantized and orthogonalized beam, the short-period reporting quantity fed back by the terminal, and the codebook structure predefined by the protocol.
  • the terminal divides the beam set into two parts according to the energy difference of the characteristic subspace beams, and the beams with stronger energy are represented by linear combination of more DFT basis vectors , the beams with weaker energy are represented by linear combination of fewer DFT basis vectors, and the overall accuracy of beam quantization projection is improved with a certain overhead, thereby improving the accuracy of PMI feedback, or under the premise of as little performance loss as possible To achieve the effect of cost reduction.
  • FIG. 8 it is a schematic flowchart of another channel state information feedback method provided by the embodiment of the present application.
  • the method may include the steps of:
  • the terminal obtains the long-period reporting quantity of PMI in the channel state information.
  • the long-period reporting quantity is used to determine N eigensubspace beams, and N eigensubspace beams include N 1 eigensubspace beams and N 2 eigensubspace beams, N 1 eigensubspace beams are composed of the first group
  • the M1 DFT basis vector linear combination in the discrete Fourier transform DFT basis vector combination is characterized, and the N2 eigensubspace beams are represented by the M2 DFT basis vector linear combination in the second group of DFT basis vector combinations, N, N 1 , N 2 , M 1 , and M 2 are all positive integers
  • the long-period reporting quantity includes the indication information of M 1 DFT basis vectors, the indication information of M 2 DFT basis vectors, and the linear combination of M 1 DFT basis vectors Coefficients and coefficients of a linear combination of M 2 DFT basis vectors.
  • step S501 or S602 for the specific implementation of this step, reference may be made to step S501 or S602 in the foregoing embodiment, which will not be repeated here.
  • the terminal performs orthogonalization processing on the N eigensubspace beams.
  • step S603 For the specific implementation of this step, reference may be made to step S603 in the foregoing embodiment.
  • the terminal determines beam superposition coefficients according to the N eigensubspace beams subjected to orthogonalization processing, and the short-period reported amount includes the aforementioned beam superposition coefficients.
  • the long-period reporting amount and the short-period reporting amount are used to determine channel information or a precoding matrix, and the channel information or precoding matrix is represented by linear superposition of N characteristic subspace beams.
  • step S604 For the specific implementation of this step, reference may be made to step S604 in the foregoing embodiment.
  • the terminal sends the long-period reporting amount and the short-period reporting amount of the PMI to the access network device.
  • step S605 For the specific implementation of this step, reference may be made to step S605 in the foregoing embodiment.
  • the access network device receives the long-period reporting amount and the short-period reporting amount of the PMI.
  • the access network device restores the N characteristic subspace beams according to the long-period reported amount.
  • step S606 For the specific implementation of this step, reference may be made to step S606 in the foregoing embodiment.
  • the access network device performs orthogonalization processing on the recovered N characteristic subspace beams.
  • step S607 For the specific implementation of this step, reference may be made to step S607 in the foregoing embodiment.
  • the access network device determines channel information or a precoding matrix according to the beam stacking coefficients and the N eigensubspace beams processed by orthogonalization.
  • step S608 For the specific implementation of this step, reference may be made to step S608 in the foregoing embodiment.
  • the terminal feeds back the long-period and short-period reporting quantities of PMI
  • the access network device receives the long-period and short-period reporting quantities of PMI fed back by the terminal, according to the long-period
  • the reporting amount and the short-period reporting amount can determine channel information or a precoding matrix.
  • the access network device and the terminal include hardware structures and/or software modules corresponding to each function.
  • the present application can be implemented in the form of hardware or a combination of hardware and computer software in combination with the units and method steps of each example described in the embodiments disclosed in the present application. Whether a certain function is executed by hardware or computer software drives the hardware depends on the specific application scenario and design constraints of the technical solution.
  • FIG. 9 and FIG. 10 are schematic structural diagrams of a possible channel state information feedback apparatus provided by an embodiment of the present application. These channel state information feedback devices can be used to implement the functions of the terminal or the access network device in the above method embodiments, and thus can also realize the beneficial effects of the above method embodiments.
  • the channel state information feedback device may be one of the terminals 120a-120j as shown in FIG. 2, or the access network device 110a or 110b as shown in FIG. 2, or Modules (such as chips) applied to terminals or access network equipment.
  • an apparatus 900 for feeding back channel state information includes a processing unit 910 and a transceiver unit 920 .
  • the channel state information feedback apparatus 900 is configured to realize the functions of the terminal or the access network device in the method embodiments shown in FIG. 5 , FIG. 6 or FIG. 8 .
  • the processing unit 910 is configured to obtain the long-period reporting amount of the precoding index PMI in the channel state information , wherein, the long-period reporting amount is used to determine N eigensubspace beams, the N eigensubspace beams include N 1 eigensubspace beams and N 2 eigensubspace beams, and the N 1 eigensubspace beams
  • the subspace beams are characterized by M 1 linear combinations of DFT basis vectors in the first set of discrete Fourier transform DFT basis vector combinations, and the N 2 characteristic subspace beams are represented by M 2 in the second set of DFT basis vector combinations DFT basis vector linear combination representation, N, N 1 , N 2 , M 1 , M 2 are all positive integers
  • the long-period reporting quantity includes the indication information of the M 1 DFT basis vectors, the M 2 DFT The indication information of the basis vector, the linear combination coefficients
  • the transceiving unit 920 is further configured to receive first projection quantization information, where the first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information . Information about the number of first DFT basis vectors; and the processing unit 910, configured to determine the long-period reporting amount according to the first projection quantization information.
  • first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information . Information about the number of first DFT basis vectors; and the processing unit 910, configured to determine the long-period reporting amount according to the first projection quantization information.
  • the transceiving unit 920 is further configured to send second projection quantization information, where the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information . Information about the number of second DFT basis vectors; and the processing unit 910 is further configured to determine the long-period reporting amount according to the first projection quantization information and the second projection quantization information.
  • the processing unit 910 is further configured to determine the short-period reporting amount of the PMI, the short-period reporting amount includes a beam superposition coefficient, and the long-period reporting amount and the short-period reporting amount are used to determine Channel information or a precoding matrix, the channel information or precoding matrix is characterized by the linear superposition of the N eigensubspace beams; and the transceiver unit 920 is further configured to send the short-period reporting amount of the PMI.
  • the processing unit 910 is further configured to perform orthogonalization processing on the N eigensubspace beams; and the processing unit 910 is further configured to perform N eigensubspace beams according to the orthogonalization processing Spatial beams determine the beam stacking coefficients.
  • the transceiving unit 920 is configured to receive the length of the precoding index PMI in the channel state information Periodic reporting amount, wherein, the long-period reporting amount is used to determine N characteristic subspace beams, and the N characteristic subspace beams include N 1 characteristic subspace beams and N 2 characteristic subspace beams, and the N One eigensubspace beam is characterized by the linear combination of M 1 DFT basis vectors in the first set of discrete Fourier transform DFT basis vector combinations, and the N 2 eigensubspace beams are represented by the second set of DFT basis vector combinations M 2 DFT basis vectors are characterized by linear combination, N, N 1 , N 2 , M 1 , and M 2 are all positive integers, and the long-period reporting amount includes the indication information of the M 1 DFT basis vectors, the M The indication information of the 2 DFT basis vectors, the linear combination coefficients
  • the transceiving unit 920 is further configured to send first projection quantization information, where the first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information , information on the number of first DFT basis vectors; and the processing unit 910, configured to restore the N eigensubspace beams according to the first projection quantization information and the long-period reported amount.
  • first projection quantization information includes at least one of the following: first eigensubspace beam grouping information, first DFT basis vector selection range information , information on the number of first DFT basis vectors.
  • the transceiving unit 920 is further configured to receive second projection quantization information, where the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information , information on the number of second DFT basis vectors; and the processing unit 910 is further configured to restore the N features according to the first projection quantization information, the second projection quantization information, and the long-period reporting quantity Subspace beams.
  • the second projection quantization information includes at least one of the following: second eigensubspace beam grouping information, second DFT basis vector selection range information , information on the number of second DFT basis vectors.
  • the transceiving unit 920 is further configured to receive the short-period report amount of the PMI, the short-period report amount includes a beam superposition coefficient; and the processing unit 910 is further configured to receive the PMI according to the short-period report Quantity and the long-period reporting quantity to determine channel information or a precoding matrix, the channel information or precoding matrix is represented by the linear superposition of the N eigensubspace beams.
  • the processing unit 910 is further configured to perform orthogonalization processing on the recovered N eigensubspace beams; Interleaving the processed N eigensubspace beams to determine the channel information or the precoding matrix.
  • the processing unit 910 is configured to obtain the long-period reporting amount of the precoding index PMI in the channel state information, wherein, The long-period reporting amount is used to determine N eigensubspace beams, the N eigensubspace beams include N 1 eigensubspace beams and N 2 eigensubspace beams, and the N 1 eigensubspace beams Characterized by the linear combination of M 1 DFT basis vectors in the first set of discrete Fourier transform DFT basis vector combinations, the N 2 eigensubspace beams are represented by M 2 DFT basis vectors in the second set of DFT basis vector combinations Linear combination representation, N, N 1 , N 2 , M 1 , and M 2 are all positive integers, and the long-period reporting quantity includes the indication information of the M 1 DFT basis vectors, the information of the M 2 DFT basis vectors Indication information, the linear combination coefficients of
  • the processing unit 910 is further configured to perform orthogonalization processing on the N eigensubspace beams; and the processing unit 910 is further configured to perform N eigensubspace beams according to the orthogonalization processing Spatial beams determine the beam stacking coefficients.
  • the transceiver unit 920 is configured to receive the long-period reporting amount of the precoding index PMI in the channel state information , wherein, the long-period reporting amount is used to determine N eigensubspace beams, the N eigensubspace beams include N 1 eigensubspace beams and N 2 eigensubspace beams, and the N 1 eigensubspace beams
  • the subspace beams are characterized by M 1 linear combinations of DFT basis vectors in the first set of discrete Fourier transform DFT basis vector combinations, and the N 2 characteristic subspace beams are represented by M 2 in the second set of DFT basis vector combinations DFT basis vector linear combination representation, N, N 1 , N 2 , M 1 , M 2 are all positive integers
  • the long-period reporting quantity includes the indication information of the M 1 DFT basis vectors, the M 2 DFT The indication information of the basis vector, the linear
  • the processing unit 910 is further configured to perform orthogonalization processing on the recovered N eigensubspace beams; Interleaving the processed N eigensubspace beams to determine the channel information or the precoding matrix.
  • processing unit 910 and the transceiver unit 920 can be directly obtained by referring to the relevant descriptions in the method embodiments shown in FIG. 5 , FIG. 6 or FIG. 8 , and will not be repeated here.
  • an apparatus 1000 for feeding back channel state information includes a processor 1010 and an interface circuit 1020 .
  • the processor 1010 and the interface circuit 1020 are coupled to each other.
  • the interface circuit 1020 may be a transceiver or an input-output interface.
  • the channel state information feedback apparatus 1000 may further include a memory 1030 for storing instructions executed by the processor 1010 or storing input data required by the processor 1010 to execute the instructions or storing data generated by the processor 1010 after executing the instructions.
  • the processor 1010 is used to implement the functions of the processing unit 910
  • the interface circuit 1020 is used to implement the functions of the transceiver unit 920 .
  • the terminal chip implements the functions of the terminal in the above method embodiment.
  • the terminal chip receives information from other modules in the terminal (such as radio frequency modules or antennas), and the information is sent to the terminal by the access network equipment; or, the terminal chip sends information to other modules in the terminal (such as radio frequency modules or antennas) Information, which is sent by the terminal to the access network device.
  • the access network equipment chip implements the functions of the access network equipment in the above method embodiments.
  • the access network device chip receives information from other modules (such as radio frequency modules or antennas) in the access network device, and the information is sent by the terminal to the access network device; or, the access network device chip sends information to the access network device Other modules (such as radio frequency modules or antennas) in the network send information, and the information is sent by the access network equipment to the terminal.
  • processor in the embodiments of the present application may be a central processing unit (central processing unit, CPU), and may also be other general processors, digital signal processors (digital signal processor, DSP), application specific integrated circuits (application specific integrated circuit, ASIC), field programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof.
  • CPU central processing unit
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • a general-purpose processor can be a microprocessor, or any conventional processor.
  • the method steps in the embodiments of the present application may be implemented by means of hardware, or may be implemented by means of a processor executing software instructions.
  • Software instructions can be composed of corresponding software modules, and software modules can be stored in random access memory, flash memory, read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only Memory, registers, hard disk, removable hard disk, CD-ROM or any other form of storage medium known in the art.
  • An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium.
  • the storage medium may also be a component of the processor.
  • the processor and storage medium can be located in the ASIC.
  • the ASIC may be located in an access network device or a terminal.
  • the processor and the storage medium may also exist in the access network device or the terminal as discrete components.
  • all or part of them may be implemented by software, hardware, firmware or any combination thereof.
  • software When implemented using software, it may be implemented in whole or in part in the form of a computer program product.
  • the computer program product comprises one or more computer programs or instructions. When the computer program or instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present application are executed in whole or in part.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, an access network device, a user device or other programmable devices.
  • the computer program or instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instructions may be downloaded from a website, computer, A server or data center transmits to another website site, computer, server or data center by wired or wireless means.
  • 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 integrating one or more available media.
  • the available medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; it may also be an optical medium, such as a digital video disk; or it may be a semiconductor medium, such as a solid state disk.
  • “at least one” means one or more, and “multiple” means two or more.
  • “And/or” describes the association relationship of associated objects, indicating that there can be three types of relationships, for example, A and/or B, which can mean: A exists alone, 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 contextual objects are an “or” relationship; in the formulas of this application, the character “/” indicates that the contextual objects are a "division” Relationship.

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Abstract

本申请公开了一种信道状态信息反馈方法及装置、介质、程序产品。终端获取信道状态信息中的PMI的长周期上报量，N 1个特征子空间波束由第一组DFT基向量组合中的M 1个DFT基向量线性组合表征，N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，长周期上报量包括M 1个DFT基向量的指示信息、M 2个DFT基向量的指示信息、M 1个DFT基向量的线性组合系数和M 2个DFT基向量的线性组合系数；以及终端向接入网设备发送PMI的长周期上报量。通过根据特征子空间波束的能量差异，将能量不同的波束用不同数量的DFT基向量线性组合表征，可以实现低开销、高精度地反馈信道状态信息。

Description

信道状态信息反馈方法及装置、介质、程序产品
本申请要求于2021年12月30日提交中国国家知识产权局、申请号为202111674328.8、发明名称为“信道状态信息反馈方法及装置、介质、程序产品”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域，尤其涉及一种信道状态信息(channel state information，CSI)反馈方法及装置、介质、程序产品。
背景技术
为了充分利用信道在空域频域的稀疏性，提高预编码矩阵指示(precoding matrix indicator，PMI)反馈的精度，近年来提出了一种基于特征子空间的码本。该码本利用长周期的特征子空间波束的线性组合来逼近下行信道或者下行信道的主特征向量。
对于此类码本，终端需要长周期反馈特征子空间波束，以及短周期反馈波束叠加系数。若采用标量量化的方式(把向量的每一个值都反馈给接入网设备)直接长周期反馈特征子空间波束的各元素，反馈开销较大。因此，如何低开销、高精度地反馈长周期特征子空间波束是此类码本的关键问题。
针对特征子空间波束的长周期反馈问题，目前采用的是均匀投影量化方案。如图1所示的特征子空间波束均匀投影量化示意图，将特征子空间波束集合中的各波束近似用一组离散傅里叶变换(discrete Fourier transform，DFT)基向量线性组合表征，其中P表示特征子空间波束的维度，N为特征子空间波束的个数，M为所选DFT基向量的个数。采用该均匀投影量化方案，终端无需直接上报特征子空间波束包含的P*N个元素，仅需上报M个DFT基向量的索引以及M*N个组合系数，能够减少反馈开销。
然而，采用均匀投影量化的方案，每一个特征子空间波束均用同一组DFT基向量投影，所选DFT基向量的个数M相同，对应量化反馈量的比特数相同。实际上，各个特征子空间波束之间是存在能量差异的，在用特征子空间波束线性/双线性组合逼近下行信道或主特征向量时，能量越强的特征子空间波束通常对应的叠加系数越强，此部分波束反馈是否精确对PMI反馈的整体精度影响较大。
有鉴于此，如何低开销、高精度地反馈基于特征子空间波束的信道状态信息，是本申请需要解决的问题。
发明内容
本申请提供一种信道状态信息反馈方法及装置、介质、程序产品，以低开销、高精度地进行信道状态信息的反馈。
第一方面，提供了一种信道状态信息反馈方法，所述方法包括：终端获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基 向量的线性组合系数；以及所述终端向接入网设备发送所述PMI的长周期上报量。在该方面中，终端通过根据特征子空间波束的能量差异，将波束集合分为两部分，能量较强的部分波束用更多的DFT基向量线性组合表征，能量较弱的部分波束用更少的DFT基向量线性组合表征，在开销一定的情况下提升波束量化投影的整体精度，进而提高PMI反馈的精度，或者在尽可能少的性能损失的前提下达成降开销的效果。
在一种可能的实现中，所述方法还包括：所述终端接收来自所述接入网设备的第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；以及所述终端根据所述第一投影量化信息，确定所述长周期上报量。在该实现中，终端通过接收接入网设备配置的投影量化信息可以准确地确定长周期上报量。
在另一种可能的实现中，所述方法还包括：所述终端向所述接入网设备发送第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；以及所述终端根据所述第一投影量化信息和所述第二投影量化信息，确定所述长周期上报量。在该实现中，终端可以上报投影量化信息，可以根据接入网设备配置的投影量化信息以及终端上报的投影量化信息准确、灵活地确定长周期上报量。
在又一种可能的实现中，终端还可以根据预定义的投影量化信息结合接入网设备配置的投影量化信息和/或终端上报的投影量化信息确定长周期上报量，从而节省了信令开销。
在又一种可能的实现中，终端还可以根据预定义的投影量化信息确定长周期上报量，从而节省了信令开销。
在又一种可能的实现中，所述方法还包括：所述终端确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；以及所述终端向所述接入网设备发送所述PMI的短周期上报量。在该实现中，终端还可以反馈PMI的短周期上报量，该长周期上报量和短周期上报量用于确定信道信息或预编码矩阵。
在又一种可能的实现中，所述终端发送PMI的短周期上报量之前，所述方法还包括：所述终端对所述N个特征子空间波束进行正交化处理；以及所述终端根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。在该实现中，终端通过根据正交化处理的波束确定波束叠加系数并上报该波束叠加系数，使得接入网设备根据通过该长周期上报量恢复的正交化的波束和短周期上报量，可以更加准确地恢复信道信息/预编码矩阵。
第二方面，提供了一种信道状态信息反馈方法，所述方法包括：接入网设备接收来自终端的信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；以及所述接入网设备根据所述长周期上报量，恢复所述N个特征子空间波束。在该方面中，接入网设备接收终端反馈的长周期上报量，该长周期上报量是终端通过根据特征子空间波束的能量差异，将波束集合分为两部分，能量较强的部分波束用更多的DFT基向量线性组合表征，能量较弱的部分波束用更少的DFT基向量 线性组合表征，从而，在开销一定的情况下提升波束量化投影的整体精度，进而提高PMI反馈的精度，或者在尽可能少的性能损失的前提下达成降开销的效果。
在一种可能的实现中，所述方法还包括：所述接入网设备向所述终端发送第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；以及所述接入网设备根据所述长周期上报量，恢复所述N个特征子空间波束，包括：所述接入网设备根据所述第一投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
在另一种可能的实现中，所述方法还包括：所述接入网设备接收来自所述终端的第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；以及所述接入网设备根据所述长周期上报量，恢复所述N个特征子空间波束，包括：所述接入网设备根据所述第一投影量化信息、所述第二投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
在又一种可能的实现中，所述方法还包括：所述接入网设备接收来自所述终端的所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；以及所述接入网设备根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
在又一种可能的实现中，所述接入网设备根据所述长周期上报量，恢复所述N个特征子空间波束之后，所述方法还包括：所述接入网设备对恢复的所述N个特征子空间波束进行正交化处理；以及所述接入网设备根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
第三方面，提供了一种信道状态信息反馈方法，其特征在于，所述方法包括：终端获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；所述终端确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；以及所述终端发送所述PMI的长周期上报量和短周期上报量。在该方面中，终端反馈PMI的长周期和短周期上报量，该长周期上报量和短周期上报量用于确定信道信息或预编码矩阵。
在一种可能的实现中，所述终端发送PMI的短周期上报量之前，所述方法还包括：所述终端对所述N个特征子空间波束进行正交化处理；以及所述终端根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。在该实现中，终端通过根据正交化处理的波束确定波束叠加系数并上报该波束叠加系数，使得接入网设备根据通过该长周期上报量恢复的正交化的波束和短周期上报量，可以更加准确地恢复信道信息/预编码矩阵。
第四方面，提供了一种信道状态信息反馈方法，其特征在于，所述方法包括：接入网设备接收信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT 基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；所述接入网设备接收所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；所述接入网设备根据所述长周期上报量，恢复所述N个特征子空间波束；以及所述接入网设备根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。在该方面中，接入网设备通过接收终端反馈的PMI的长周期和短周期上报量，根据该长周期上报量和短周期上报量可以确定信道信息或预编码矩阵。
在一种可能的实现中，所述接入网设备根据所述长周期上报量，恢复所述N个特征子空间波束之后，所述方法还包括：所述接入网设备对恢复的所述N个特征子空间波束进行正交化处理；以及所述接入网设备根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
第五方面，提供了一种信道状态信息反馈装置。所述信道状态信息反馈装置可以实现上述第一方面中的方法。例如所述信道状态信息反馈装置可以芯片或者终端。可以通过软件、硬件、者通过硬件执行相应的软件实现上述方法。
在一种可能的实现方式中，所述装置包括：收发单元和处理单元；其中：所述处理单元，用于获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；以及所述收发单元，用于发送所述PMI的长周期上报量。
可选地，所述收发单元，还用于接收第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；以及所述处理单元，用于根据所述第一投影量化信息，确定所述长周期上报量。
可选地，所述收发单元，还用于发送第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；以及所述处理单元，还用于根据所述第一投影量化信息和所述第二投影量化信息，确定所述长周期上报量。
可选地，所述处理单元，还用于确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；以及所述收发单元，还用于发送所述PMI的短周期上报量。
可选地，所述处理单元，还用于对所述N个特征子空间波束进行正交化处理；以及所述处理单元，还用于根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。
在另一种可能的实现方式中，该信道状态信息反馈装置用于执行上述第一方面及其各种可能的实现中的方法。
第六方面，提供了一种信道状态信息反馈装置。所述信道状态信息反馈装置可以实现上述第二方面中的方法。例如所述信道状态信息反馈装置可以芯片或者接入网设备。可以通过软件、硬件、者通过硬件执行相应的软件实现上述方法。
在一种可能的实现方式中，所述装置包括：收发单元和处理单元；其中：所述收发单元，用于接收信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；以及所述处理单元，用于根据所述长周期上报量，恢复所述N个特征子空间波束。
可选地，所述收发单元，还用于发送第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；以及所述处理单元，用于根据所述第一投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
可选地，所述收发单元，还用于接收第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；以及所述处理单元，还用于根据所述第一投影量化信息、所述第二投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
可选地，所述收发单元，还用于接收所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；以及所述处理单元，还用于根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
可选地，所述处理单元，还用于对恢复的所述N个特征子空间波束进行正交化处理；以及所述处理单元，还用于根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
在另一种可能的实现方式中，该信道状态信息反馈装置用于执行上述第二方面及其各种可能的实现中的方法。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述第一特征子空间波束分组信息包括：所述N、所述N 1；或所述N、波束比例β；或所述N；或所述N 1、所述N 2。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量是所述第一组DFT基向量的子集。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述M 1个DFT基向量和所述M 2个DFT基向量是通过组合数方式指示的；所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第一基向量组中的一个，其中，所述第一基向量组包括M 1个基向量；以及所述M 2个DFT基向量的指示信息用于指示从所述M 1个DFT基向量中选出的多个第二基向量组中的一个，其中，所述第二基向量组包括M 2个基向量。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述M 1个 DFT基向量是通过第一比特位图的方式指示的，所述第一比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；以及所述M 2个DFT基向量是通过第二比特位图的方式指示的，所述第二比特位图包括M 1个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(M 1-M 2)个DFT基向量对应的比特值为第二值。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量不是所述第一组DFT基向量的子集。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第三基向量组中的一个，其中，所述第三基向量组包括M 1个基向量；以及所述M 2个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第四基向量组中的一个，其中，所述第四基向量组包括M 2个基向量。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述M 1个DFT基向量是通过第三比特位图的方式指示的，所述第三比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；以及所述M 2个DFT基向量是通过第四比特位图的方式指示的，所述第四比特位图包括P个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(P-M 2)个DFT基向量对应的比特值为第二值。
结合第一方面、第二方面、第五方面或第六方面，在又一种可能的实现中，所述第一DFT基向量个数信息包括：所述M 1、基向量个数比例δ；或所述M 1；或所述M 1、所述M 2。
第七方面，提供了一种信道状态信息反馈装置。所述信道状态信息反馈装置可以实现上述第三方面中的方法。例如所述信道状态信息反馈装置可以芯片或者终端。可以通过软件、硬件、者通过硬件执行相应的软件实现上述方法。
在一种可能的实现方式中，所述装置包括：收发单元和处理单元；其中：所述处理单元，用于获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；所述处理单元，还用于确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；以及所述收发单元，用于发送所述PMI的长周期上报量和短周期上报量。
可选地，所述处理单元，还用于对所述N个特征子空间波束进行正交化处理；以及所述处理单元，还用于根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。
在另一种可能的实现方式中，该信道状态信息反馈装置用于执行上述第三方面及其各种可能的实现中的方法。
第八方面，提供了一种信道状态信息反馈装置。所述信道状态信息反馈装置可以实现上述第四方面中的方法。例如所述信道状态信息反馈装置可以芯片或者接入网设备。可以通过 软件、硬件、者通过硬件执行相应的软件实现上述方法。
在一种可能的实现方式中，所述装置包括：收发单元和处理单元；其中：所述收发单元，用于接收信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；所述收发单元，还用于接收所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；所述处理单元，用于根据所述长周期上报量，恢复所述N个特征子空间波束；以及所述处理单元，还用于根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
可选地，所述处理单元，还用于对恢复的所述N个特征子空间波束进行正交化处理；以及所述处理单元，还用于根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
在另一种可能的实现方式中，该信道状态信息反馈装置用于执行上述第四方面及其各种可能的实现中的方法。
在又一种可能的实现方式中，上述第五方面至第八方面中的信道状态信息反馈装置包括与存储器耦合的处理器；所述处理器被配置为支持所述装置执行上述信道状态信息反馈方法中相应的功能。存储器用于与处理器耦合，其保存所述装置必要的计算机程序(或计算机可执行指令)和/或数据。可选的，所述信道状态信息反馈装置还可以包括通信接口用于支持所述装置与其他网元之间的通信，例如数据和/或信号的发送或接收。示例性的，通信接口可以是收发器、电路、总线、模块或其它类型的通信接口。可选的，该存储器可以位于该信道状态信息反馈装置内部，和处理器集成在一起；也可以位于该信道状态信息反馈装置外部。
在又一种可能的实现方式中，上述第五方面至第八方面中的信道状态信息反馈装置包括处理器和收发装置，所述处理器与所述收发装置耦合，所述处理器用于执行计算机程序或指令，以控制所述收发装置进行信息的接收和发送；当所述处理器执行所述计算机程序或指令时，所述处理器还用于通过逻辑电路或执行代码指令实现上述方法。其中，所述收发装置可以为收发器、收发电路或输入输出接口，用于接收来自所述信道状态信息反馈装置之外的其它信道状态信息反馈装置的信号并传输至所述处理器或将来自所述处理器的信号发送给所述信道状态信息反馈装置之外的其它信道状态信息反馈装置。当所述信道状态信息反馈装置为芯片时，所述收发装置为收发电路或输入输出接口。
当上述第五方面至第八方面中的信道状态信息反馈装置为芯片时，发送单元可以是输出单元，比如输出电路或者通信接口；接收单元可以是输入单元，比如输入电路或者通信接口。当所述信道状态信息反馈装置为终端时，发送单元可以是发射器或发射机；接收单元可以是接收器或接收机。
第九方面，提供了一种通信系统，所述通信系统包括如第五方面或第五方面的任一种实现所述的信道状态信息反馈装置、以及至少一个如第六方面或第六方面的任一种实现所述的信道状态信息反馈装置。
第十方面，提供了一种通信系统，所述通信系统包括如第七方面或第七方面的任一种实 现所述的信道状态信息反馈装置、以及至少一个如第八方面或第八方面的任一种实现所述的信道状态信息反馈装置。
第十一方面，提供了一种计算机可读存储介质，其上存储有计算机程序或指令，该程序或指令被处理器执行时，实现如第一方面或第一方面的任一种实现所述的方法，或者，实现如第二方面或第二方面的任一种实现所述的方法，或者，实现如第三方面或第三方面的任一种实现所述的方法，或者，实现如第四方面或第四方面的任一种实现所述的方法。
第十二方面，提供了一种计算机程序产品，当其在计算设备上执行时，实现如第一方面或第一方面的任一种实现所述的方法，或者，实现如第二方面或第二方面的任一种实现所述的方法，或者，实现如第三方面或第三方面的任一种实现所述的方法，或者，实现如第四方面或第四方面的任一种实现所述的方法。
附图说明
图1为特征子空间波束均匀投影量化的示意图；
图2为本申请实施例提供的一种通信系统的结构示意图；
图3为本申请实施例提供的一种空频联合的特征子空间码本的结构示意图；
图4为本申请实施例提供的一种获取信道状态信息的基本流程示意图；
图5为本申请实施例提供的一种信道状态信息反馈方法的流程示意图；
图6为本申请实施例提供的另一种信道状态信息反馈方法的流程示意图；
图7a为本申请实施例提供的一种特征子空间波束非均匀投影量化方案的示意图；
图7b为本申请实施例提供的另一种特征子空间波束非均匀投影量化方案的示意图；
图8为本申请实施例提供的又一种信道状态信息反馈方法的流程示意图；
图9为本申请实施例提供的一种信道状态信息反馈装置的结构示意图；
图10为本申请实施例提供的另一种信道状态信息反馈装置的结构示意图。
具体实施方式
下面结合本申请实施例中的附图对本申请实施例进行描述。
本申请提供的技术方案可以应用于各种通信系统。本申请提供的技术方案可以应用于第五代(5 thgeneration，5G)通信系统，未来演进系统或多种通信融合系统等中，也可以应用于现有通信系统等。本申请提供的技术方案的应用场景可以包括多种，例如机器对机器(machine to machine，M2M)、宏微通信、增强型移动互联网(enhanced mobile broadband，eMBB)、超高可靠性与超低时延通信(ultra rebiable&low latency communication，uRLLC)以及海量物联网通信(massive machine type communication，mMTC)等场景。这些场景可以包括但不限于：终端与终端之间的通信场景，网络设备与网络设备之间的通信场景，网络设备与终端之间的通信场景等。其中，网络设备包括接入网设备和核心网设备。下文中均是以应用于接入网设备和终端通信的场景中为例进行说明的。
图2是本申请的实施例应用的通信系统1000的架构示意图。如图2所示，该通信系统包括无线接入网100和核心网200，可选的，通信系统1000还可以包括互联网300。其中，无线接入网100可以包括至少一个接入网设备(如图2中的110a和110b)，还可以包括至少一个终端(如图2中的120a-120j)。终端通过无线的方式与接入网设备相连，接入网设备通过无线或有线方式与核心网连接。核心网设备与接入网设备可以是独立的不同的物理设备，也可以是将核心网设备的功能与接入网设备的逻辑功能集成在同一个物理设备上，还可以是一个物理设备上集成了部分核心网设备的功能和部分的接入网设备的功能。终端和终端之间以 及接入网设备和接入网设备之间可以通过有线或无线的方式相互连接。图2只是示意图，该通信系统中还可以包括其它网络设备，如还可以包括无线中继设备和无线回传设备，在图2中未画出。
接入网设备可以是基站(base station)、演进型基站(evolved NodeB，eNodeB)、发送接收点(transmission reception point，TRP)、第五代(5th generation，5G)移动通信系统中的下一代基站(next generation NodeB，gNB)、第六代(6th generation，6G)移动通信系统中的下一代基站、未来移动通信系统中的基站或WiFi系统中的接入节点等；也可以是完成接入网设备部分功能的模块或单元，例如，可以是集中式单元(central unit，CU)，也可以是分布式单元(distributed unit，DU)。接入网设备可以是宏基站(如图2中的110a)，也可以是微基站或室内站(如图2中的110b)，还可以是中继节点或施主节点等。本申请的实施例对接入网设备所采用的具体技术和具体设备形态不做限定。
终端也可以称为终端设备、用户设备(user equipment，UE)、移动台、移动终端等。终端可以广泛应用于各种场景，例如，设备到设备(device-to-device，D2D)、车物(vehicle to everything，V2X)通信、机器类通信(machine-type communication，MTC)、物联网(internet of things，IOT)、虚拟现实、增强现实、工业控制、自动驾驶、远程医疗、智能电网、智能家具、智能办公、智能穿戴、智能交通、智慧城市等。终端可以是手机、平板电脑、带无线收发功能的电脑、可穿戴设备、车辆、无人机、直升机、飞机、轮船、机器人、机械臂、智能家居设备等。本申请的实施例对终端所采用的具体技术和具体设备形态不做限定。
接入网设备和终端可以是固定位置的，也可以是可移动的。接入网设备和终端可以部署在陆地上，包括室内或室外、手持或车载；也可以部署在水面上；还可以部署在空中的飞机、气球和人造卫星上。本申请的实施例对接入网设备和终端的应用场景不做限定。
接入网设备和终端的角色可以是相对的，例如，图2中的直升机或无人机120i可以被配置成移动接入网设备，对于那些通过120i接入到无线接入网100的终端120j来说，终端120i是接入网设备；但对于接入网设备110a来说，120i是终端，即110a与120i之间是通过无线空口协议进行通信的。当然，110a与120i之间也可以是通过接入网设备与接入网设备之间的接口协议进行通信的，此时，相对于110a来说，120i也是接入网设备。因此，接入网设备和终端都可以统一称为通信装置，图2中的110a和110b可以称为具有接入网设备功能的通信装置，图2中的120a-120j可以称为具有终端功能的通信装置。
接入网设备和终端之间、接入网设备和接入网设备之间、终端和终端之间可以通过授权频谱进行通信，也可以通过免授权频谱进行通信，也可以同时通过授权频谱和免授权频谱进行通信；可以通过6千兆赫(gigahertz，GHz)以下的频谱进行通信，也可以通过6GHz以上的频谱进行通信，还可以同时使用6GHz以下的频谱和6GHz以上的频谱进行通信。本申请的实施例对无线通信所使用的频谱资源不做限定。
在本申请的实施例中，接入网设备的功能也可以由接入网设备中的模块(如芯片)来执行，也可以由包含有接入网设备功能的控制子系统来执行。这里的包含有接入网设备功能的控制子系统可以是智能电网、工业控制、智能交通、智慧城市等上述应用场景中的控制中心。终端的功能也可以由终端中的模块(如芯片或调制解调器)来执行，也可以由包含有终端功能的装置来执行。
在本申请中，接入网设备向终端发送下行信号或下行信息，下行信息承载在下行信道上；终端向接入网设备发送上行信号或上行信息，上行信息承载在上行信道上。终端为了与接入网设备进行通信，需要与接入网设备控制的小区建立无线连接。与终端建立了无线连接的小 区称为该终端的服务小区。当终端与该服务小区进行通信的时候，还会受到来自邻区的信号的干扰。
5G通信系统对系统容量、频谱效率等方面有了更高的要求。在5G通信系统中，大规模多天线技术(massive MIMO)的应用对提高系统的频谱效率起到了至关重要的作用。当采用MIMO技术时，接入网设备在向终端发送数据前，需要对数据进行预编码。而如何进行预编码，需要依靠用户向接入网设备反馈的CSI，因此准确的CSI反馈信息是影响系统性能的重要因素。
在时分双工(time division duplex，TDD)系统中，由于上行信道和下行信道使用相同的频段，因此具有互易性。接入网设备可以利用信道的互易性，通过上行信道来获取下行信道的CSI，进而进行预编码。
而在频分双工(frequency division duplex，FDD)系统中，由于上下行频带间的间隔大于带宽，因此上下行信道之间不具有完整的互易性。在传统的FDD系统中，需要用户向接入网设备反馈下行信道的CSI，基本流程如图3所示。在步骤S301中，接入网设备需要先向终端发送信道测量配置信息。该信道测量配置信息用于信道测量的配置，通知终端信道测量的时间及行为。继而，在步骤S302中，接入网设备发送向终端发送导频(reference signal，RS)用于信道测量。在步骤S303中，终端根据接入网设备发送的导频进行测量，进行计算得到最终的CSI反馈量，并向接入网设备反馈CSI。然后，在步骤S304中，接入网设备再根据终端反馈的CSI进行数据发送。其中，接入网设备根据终端反馈的信道秩指示(rank indicator，RI)用于确定给终端传输数据的流数；接入网设备根据终端反馈的信道质量指示(channel quality indicator，CQI)用于确定给终端传输数据的调制阶数，及信道编码的码率；接入网设备根据终端反馈的PMI用于确定给终端传输数据的预编码。
PMI反馈是根据一套码本来确定和上报的，FDD CSI码本的设计是5G通信系统中的一个基本且重要的问题。在新空口(new radio，NR)目前的标准协议中，FDD CSI反馈均以接入网设备侧信息为参考进行信道量化，终端反馈的PMI是根据信道的接入网设备侧发送端的主特征向量确定的。R15 Type II码本采用的是空域(角度)压缩的思想，将主特征向量(即单用户的预编码矩阵)用空域的若干DFT基向量线性组合表征。R16 Type II码本则在R15码本的基础上利用不同子带的幅度和相位系数所具有的频域相关性增加了频域(时延)的压缩，将主特征向量用若干空域DFT基向量和若干频域的DFT基向量双线性组合表征。
为了充分利用信道在空域频域的稀疏性，进一步提高PMI反馈的精度，提出了一种基于特征子空间的码本。该码本利用长周期统计的特征子空间波束的线性组合来逼近下行信道或者下行信道的主特征向量。因此，特征子空间波束又可以称为统计特征子空间波束，是可用于表示信道在空域，或者在频域，或者在空域以及频域的统计变化规律的向量或向量组。通常是通过对信道信息的统计协方差矩阵做特征值分解得到的。该码本可以是类似于R16 Type II码本的空域、频域各用一组特征子空间波束通过双线性组合的形式来表征；也可以是空域频域联合的，用一组空频联合的特征子空间波束线性组合表征，如图4所示。图4中，H为特征子空间波束对应的矩阵，N t表示接入网设备发送端口数，N f表示频域单元数，N t*N f表明该特征子空间波束是空域频域联合的，矩阵H的行向量的维度为N r或者秩(rank)的阶数，N r表示终端接收端口数。
对于此类码本，终端需要长周期反馈特征子空间波束(其长周期上报量为图4中的矩阵B)，短周期反馈波束叠加系数(图4中的矩阵C 2)。若采用标量量化的方式(即把矩阵B的每一个值都反馈给接入网设备)直接长周期反馈特征子空间波束的各元素，反馈开销较大。
而采用背景技术中的均匀投影量化方案反馈长周期上报量，特征子空间波束的恢复精度 有限，PMI的精度会受到影响。
针对上述问题，本申请提供一种信道状态信息反馈方案，终端通过根据特征子空间波束的能量差异，将波束集合分为两部分，能量较强的部分波束用更多的DFT基向量线性组合表征，能量较弱的部分波束用更少的DFT基向量线性组合表征，在开销一定的情况下提升波束量化投影的整体精度，进而提高PMI反馈的精度，或者在尽可能少的性能损失的前提下达成降开销的效果。
如图5所示，为本申请实施例提供的一种信道状态信息反馈方法的流程示意图。该方法可以包括以下步骤：
S501.终端获取信道状态信息中的PMI的长周期上报量。其中，该长周期上报量用于确定N个特征子空间波束，N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，N 1个特征子空间波束由第一组DFT基向量组合中的M 1个DFT基向量线性组合表征，N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，该长周期上报量包括M 1个DFT基向量的指示信息、M 2个DFT基向量的指示信息、M 1个DFT基向量的线性组合系数和M 2个DFT基向量的线性组合系数。
假设有N个特征子空间波束，每个特征子空间波束的维度为P×1。特征子空间波束之间一般存在能量差异，本实施例中，将N个特征子空间波束分为至少两组。示例性地，将N个特征子空间波束分为两组：第一组波束包括能量较强的N 1个特征子空间波束，第二组波束包括能量较弱的N 2个特征子空间波束。
在示例A中，将N 1个特征子空间波束采用第一组DFT基向量组合中的M 1个DFT基向量线性组合表征，以及将N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征。其中，N、N 1、N 2、M 1、M 2均为正整数。且M 1>M 2。通过波束分组的方式实现非均匀量化，可以提升波束量化投影的整体精度。
该N个特征子空间波束对应的DFT基向量全集包括P个DFT基向量，该第一组DFT基向量组合包含P个DFT基向量中的M 1个DFT基向量。该第二组DFT基向量组合包含P个DFT基向量或M 1个DFT基向量中M 2个DFT基向量。因此，得到该长周期上报量包括M 1个DFT基向量的指示信息、M 2个DFT基向量的指示信息、M 1个DFT基向量的线性组合系数和M 2个DFT基向量的线性组合系数。
在示例B中，也可以是第一组波束包括能量较弱的N 1个特征子空间波束，第二组波束包括能量较强的N 2个特征子空间波束，将N 1个特征子空间波束采用第一组DFT基向量组合中的M 1个DFT基向量线性组合表征，以及将N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，则M 1<M 2。
该N个特征子空间波束对应的DFT基向量全集包括P个DFT基向量，该第一组DFT基向量组合包含P个DFT基向量或M 2个DFT基向量中的M 1个DFT基向量。该第二组DFT基向量组合包含P个DFT基向量中的M 2个DFT基向量。因此，得到该长周期上报量包括M 1个DFT基向量的指示信息、M 2个DFT基向量的指示信息、M 1个DFT基向量的线性组合系数和M 2个DFT基向量的线性组合系数。
下文的描述均以示例A为例进行描述。示例B的具体实现可参考示例A的实现，本申请不再赘述。
S502.终端向接入网设备发送PMI的长周期上报量。
相应地，接入网设备接收该长周期上报量。
终端获取了PMI的长周期上报量之后，向接入网设备发送PMI的长周期上报量。
由于终端根据特征子空间波束的能量差异，将波束集合分为两组，能量较强的部分波束用更多的DFT基向量线性组合表征，能量较弱的部分波束用更少的DFT基向量线性组合表征，因此，在开销一定的情况下，可以提升波束量化投影的整体精度，进而提高PMI反馈的精度，或者在尽可能少的性能损失的前提下达成降开销的效果。
S503.接入网设备根据长周期上报量，恢复N个特征子空间波束。
接入网设备接收终端发送的PMI的长周期上报量，根据该长周期上报量，可以恢复N个特征子空间波束。
根据本申请实施例提供的一种信道状态信息反馈方法，终端通过根据特征子空间波束的能量差异，将波束集合分为两部分，能量较强的部分波束用更多的DFT基向量线性组合表征，能量较弱的部分波束用更少的DFT基向量线性组合表征，在开销一定的情况下提升波束量化投影的整体精度，进而提高PMI反馈的精度，或者在尽可能少的性能损失的前提下达成降开销的效果。
如图6所示，为本申请实施例提供的另一种信道状态信息反馈方法的流程示意图。该方法可以包括以下步骤：
S601.接入网设备向终端发送第一投影量化信息。该第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息。
相应地，终端接收该第一投影量化信息。
终端在确定PMI的长周期上报量时，需要将N个特征子空间波束进行非均匀投影量化。终端需要根据投影量化信息，进行非均匀投影量化，以确定上述长周期上报量。
本实施例中，可以由接入网设备配置该投影量化信息。具体地，接入网设备向终端发送第一投影量化信息，终端接收该第一投影量化信息。该第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息。示例性地，接入网设备可以通过无线资源控制(radio resource control，RRC)信令、介质接入控制-控制元素(medium access control-control element，MAC-CE)、下行控制信息(downlink control information，DCI)等中的一种或多种发送上述第一投影量化信息。
在另外的实施例中，终端也可以向接入网设备上报投影量化信息。具体地，终端向接入网设备发送第二投影量化信息，接入网设备接收该第二投影量化信息。该第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息。其中，第二投影量化信息所包括的信息可以是对第一投影量化信息的补充。第二投影量化信息中各信息的含义与第一投影量化信息相同。在下文的描述中，将穿插描述第二投影量化信息。
其中，第一特征子空间波束分组信息用于指示如何对特征子空间波束进行分组。假设有N个特征子空间波束，本实施例中，将N个特征子空间波束分为至少两组。示例性地，将N个特征子空间波束分为两组：第一组波束包括能量较强的N 1个特征子空间波束，第二组波束包括能量较弱的N 2个特征子空间波束。则第一特征子空间波束分组信息包括：
N、N 1；或
N、波束比例β；或
N；或
N 1、N 2。
即接入网设备可以指示特征子空间波束的总数N以及第一组波束的数量N 1，终端可以根据配置的N、N 1，确定第二组波束的数量为N 2＝N-N 1；或
接入网设备可以指示特征子空间波束的总数N以及波束比例β，终端可以根据配置的N、β，确定
Figure PCTCN2022139343-appb-000001
或
Figure PCTCN2022139343-appb-000002
N 2＝N-N 1；或
接入网设备可以指示特征子空间波束的总数N，协议可以预定义波束比例β或上述第二特征子空间波束分组信息可以包括波束比例β，终端可以根据配置的N以及波束比例β，确定
Figure PCTCN2022139343-appb-000003
或
Figure PCTCN2022139343-appb-000004
N 2＝N-N 1；或
接入网设备可以指示第一组波束的数量N 1以及第二组波束的数量N 2，终端可以直接获取N 1、N 2；或
接入网设备可以指示特征子空间波束的总数N，上述第二特征子空间波束分组信息可以包括特征子空间波束分组后的个数N 1、N 2中的一个或多个。
其中，
Figure PCTCN2022139343-appb-000005
表示向下取整，
Figure PCTCN2022139343-appb-000006
表示向上取整。
其中，在进行非均匀投影量化时，根据第二组DFT基向量的选择的不同，可以有以下两种DFT基向量选择范围：第二组DFT基向量是第一组DFT基向量的子集；或第二组DFT基向量不是第一组DFT基向量的子集。
如图7a所示，为本申请实施例提供的一种特征子空间波束非均匀投影量化方案的示意图。在该示例中，第二组DFT基向量是第一组DFT基向量的子集。该N个特征子空间波束(如图7a中的矩阵B)对应的DFT基向量全集包括P个DFT基向量，第一组DFT基向量包含P个DFT基向量中的M 1个DFT基向量(如图7a中的矩阵
Figure PCTCN2022139343-appb-000007
)。第二组DFT基向量包含M 1个DFT基向量中的M 2个DFT基向量。
如图7b，为本申请实施例提供的另一种特征子空间波束非均匀投影量化方案的示意图，在该示例中，第二组DFT基向量不是第一组DFT基向量的子集。该N个特征子空间波束(如图7b中的矩阵B 1+B 2)对应的DFT基向量全集包括P个DFT基向量，第一组DFT基向量包含P个DFT基向量中的M 1个DFT基向量(如图7b中的矩阵
Figure PCTCN2022139343-appb-000008
)。第二组DFT基向量包含P个DFT基向量中的M 2个DFT基向量(如图7b中的矩阵
Figure PCTCN2022139343-appb-000009
)。示例性地，第二组DFT基向量可以与第一组DFT基向量有交集，也可以没有交集。
因此，第一DFT基向量选择范围信息可以用于指示第二组DFT基向量是第一组DFT基向量的子集，或第二组DFT基向量不是第一组DFT基向量的子集；或
协议可以预定义第二组DFT基向量是第一组DFT基向量的子集，或第二组DFT基向量不是第一组DFT基向量的子集；或
第二DFT基向量选择范围信息可以用于指示第二组DFT基向量是第一组DFT基向量的子集，或第二组DFT基向量不是第一组DFT基向量的子集。
其中，第一DFT基向量个数信息用于指示第一组DFT基向量组合中DFT基向量的个数，以及第二组DFT基向量组合中DFT基向量的个数。示例性地，第一DFT基向量个数信息可以包括：
M 1、基向量个数比例δ；或
M 1；或
M 1、M 2。
即接入网设备指示第一组DFT基向量个数M 1以及基向量个数比例δ，则终端可以根据M 1、δ，确定
Figure PCTCN2022139343-appb-000010
或
Figure PCTCN2022139343-appb-000011
或
接入网设备指示第一组DFT基向量个数M 1，协议预定义基向量个数比例δ或上述第二DFT基向量个数信息指示基向量个数比例δ，则终端可以根据M 1、δ，确定
Figure PCTCN2022139343-appb-000012
或
Figure PCTCN2022139343-appb-000013
Figure PCTCN2022139343-appb-000014
或
接入网设备指示第一组DFT基向量个数M 1以及第二组DFT基向量个数M 2，则终端可以直接获取M 1、M 2；或
终端在第二DFT基向量个数信息中指示第一组DFT基向量个数M 1以及第二组DFT基向量个数M 2。
其中，
Figure PCTCN2022139343-appb-000015
表示向下取整，
Figure PCTCN2022139343-appb-000016
表示向上取整。
S602.终端根据第一投影量化信息，确定长周期上报量。
终端在获取到第一投影量化信息后，可以根据第一投影量化信息，确定长周期上报量。
具体地，根据第一投影量化信息，进行非均匀投影量化，得到长周期上报量。
在另外的实施例中，终端还可以进一步向接入网设备发送第二投影量化信息，则终端可以根据第一投影量化信息和第二投影量化信息，确定长周期上报量。
该步骤的具体实现可参考上述实施例的步骤S501。
该长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数。
其中，根据DFT基向量选择范围的不同(或者称非均匀投影量化方案的不同)，M 1个DFT基向量和M 2个DFT基向量的指示信息也不同。
一种情况为，第二组DFT基向量是第一组DFT基向量的子集。相应地，M 1个DFT基向量和M 2个DFT基向量可以有以下两种方式指示：
一个实现为，M 1个DFT基向量和M 2个DFT基向量是通过组合数方式指示的：
假设特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，M 1个DFT基向量的指示信息用于指示从P个DFT基向量中选出的多个第一基向量组中的一个，其中，第一基向量组包括M 1个基向量。例如，对应的DFT基向量全集包括4个DFT基向量，M 1＝3，则第一基向量组可以有
Figure PCTCN2022139343-appb-000017
个，M 1个基向量可以是
Figure PCTCN2022139343-appb-000018
个第一基向量组中的任一个。其中，C表示排列组合。
M 2个DFT基向量的指示信息用于指示从M 1个DFT基向量中选出的多个第二基向量组中的一个，其中，第二基向量组包括M 2个基向量。例如，M 2＝2，则第二基向量组可以有
Figure PCTCN2022139343-appb-000019
个，M 2个基向量可以是
Figure PCTCN2022139343-appb-000020
个第二基向量组中的任一个。
M 1个DFT基向量和M 2个DFT基向量总共需要
Figure PCTCN2022139343-appb-000021
个比特指示。
另一个实现为，M 1个DFT基向量是通过第一比特位图的方式指示的，第一比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值。
M 2个DFT基向量是通过第二比特位图的方式指示的，第二比特位图包括M 1个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(M 1-M 2)个DFT基向量对应的比特值为第二值。
M 1个DFT基向量和M 2个DFT基向量总共需要(P+M M)个比特指示。
另一种情况为，第二组DFT基向量不是第一组DFT基向量的子集。相应地，M 1个DFT基向量和M 2个DFT基向量可以有以下两种方式指示：
一个实现为：假设特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，M 1个DFT基向量的指示信息用于指示从P个DFT基向量中选出的多个第三基向量组中的一个，其中，第三基向量组包括M 1个基向量。例如，对应的DFT基向量全集包括4个DFT基向量，M 1＝3，则第三基向量组可以有
Figure PCTCN2022139343-appb-000022
个，M 1个基向量可以是
Figure PCTCN2022139343-appb-000023
个第三基向量组中的任一个。
M 2个DFT基向量的指示信息用于指示从P个DFT基向量中选出的多个第四基向量组中的一个，其中，第四基向量组包括M 2个基向量。例如，对应的DFT基向量全集包括4个DFT基向量，M 2＝2，则第四基向量组可以有
Figure PCTCN2022139343-appb-000024
个，M 2个基向量可以是
Figure PCTCN2022139343-appb-000025
个第四基向量组中的任一个。
M 1个DFT基向量和M 2个DFT基向量总共需要
Figure PCTCN2022139343-appb-000026
个比特指示。
另一个实现为，M 1个DFT基向量是通过第三比特位图的方式指示的，第三比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
M 2个DFT基向量是通过第四比特位图的方式指示的，第四比特位图包括P个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的P-M 2个DFT基向量对应的比特值为第二值。
M 1个DFT基向量和M 2个DFT基向量总共需要2P个比特指示。
上述第一值可以是“1”，用于表示该DFT基向量被选中；则第二值可以是“0”，用于表示该DFT基向量未被选中。或者，上述第一值可以是“0”，用于表示该DFT基向量被选中；则第二值可以是“1”，用于表示该DFT基向量未被选中。本申请对此不作限制。
其中，M 1个DFT基向量的线性组合系数有N 1M 1个，所述M 2个DFT基向量的线性组合系数有N 2M 2个。
S603.终端对N个特征子空间波束进行正交化处理。
终端确定并反馈PMI的长周期上报量，还可以进一步确定并反馈PMI的短周期上报量。该短周期上报量包括波束叠加系数。上述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
然而，对于特征子空间波束的量化反馈，无论是均匀投影量化，还是非均匀投影量化，都是有损的量化方式。原本特征子空间波束间是相互正交的，波束投影用DFT基向量投影量化后，终端上报DFT基向量的指示信息及线性组合系数，接入网设备根据终端的长周期上报量恢复得到的特征子空间波束组会由于有损量化，导致波束间不正交。用不正交的量化后的特征子空间波束的线性/双线性组合表征的下行信道信息或主特征向量会导致精度下降，从而出现性能损失。
本实施例中，终端和接入网设备可以协议预定义量化后的特征子空间波束组正交化的方法，包括但不限于正交三角(orthogonal triangle，QR)分解、施密特正交化等。
终端在获取特征子空间波束的长周期上报量并反馈该长周期上报量之后，进一步地，可以根据上述预定义的正交化方法对N个特征子空间波束进行正交化处理。
S604.终端根据正交化处理的N个特征子空间波束确定波束叠加系数。
终端对N个特征子空间波束进行正交化处理后，根据正交化处理的N个特征子空间波束确定波束叠加系数。示例性地，终端短周期地根据量化并正交化的波束以及下行信道信息或主特征向量确定波束线性组合系数并短周期上报。
S605.终端向接入网设备发送PMI的长周期上报量和短周期上报量。
相应地，接入网设备接收该长周期上报量和短周期上报量。
S606.接入网设备根据第一投影量化信息和长周期上报量，恢复N个特征子空间波束。
接入网设备接收到终端上报的长周期上报量后，可以根据该长周期上报量以及协议预定义的码本结构恢复量化后的特征子空间波束。
S607.接入网设备对恢复的N个特征子空间波束进行正交化处理。
接入网设备恢复量化后的特征子空间波束后，可以采用协议预定义的正交化方法对恢复的特征子空间波束进行正交化处理。
S608.接入网设备根据波束叠加系数和正交化处理的N个特征子空间波束，确定信道信息或预编码矩阵。
接入网设备根据量化并正交化的波束、终端反馈的短周期上报量以及协议预定义的码本结构获取终端想要反馈的下行信道信息或主特征向量。
根据本申请实施例提供的一种信道状态信息反馈方法，终端通过根据特征子空间波束的能量差异，将波束集合分为两部分，能量较强的部分波束用更多的DFT基向量线性组合表征，能量较弱的部分波束用更少的DFT基向量线性组合表征，在开销一定的情况下提升波束量化投影的整体精度，进而提高PMI反馈的精度，或者在尽可能少的性能损失的前提下达成降开销的效果。
如图8所示，为本申请实施例提供的又一种信道状态信息反馈方法的流程示意图。该方法可以包括以下步骤：
S801.终端获取信道状态信息中的PMI的长周期上报量。其中，长周期上报量用于确定N个特征子空间波束，N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，长周期上报量包括M 1个DFT基向量的指示信息、M 2个DFT基向量的指示信息、M 1个DFT基向量的线性组合系数和M 2个DFT基向量的线性组合系数。
该步骤的具体实现可参考上述实施例的步骤S501或S602，在此不再赘述。
S802.终端对N个特征子空间波束进行正交化处理。
该步骤的具体实现可参考上述实施例的步骤S603。
S803.终端根据正交化处理的N个特征子空间波束确定波束叠加系数，该短周期上报量包括上述波束叠加系数。长周期上报量和短周期上报量用于确定信道信息或预编码矩阵，信道信息或预编码矩阵通过N个特征子空间波束的线性叠加表征。
该步骤的具体实现可参考上述实施例的步骤S604。
S804.终端向接入网设备发送PMI的长周期上报量和短周期上报量。
该步骤的具体实现可参考上述实施例的步骤S605。
相应地，接入网设备接收该PMI的长周期上报量和短周期上报量。
S805.接入网设备根据长周期上报量，恢复N个特征子空间波束。
该步骤的具体实现可参考上述实施例的步骤S606。
S806.接入网设备对恢复的N个特征子空间波束进行正交化处理。
该步骤的具体实现可参考上述实施例的步骤S607。
S807.接入网设备根据波束叠加系数和正交化处理的N个特征子空间波束，确定信道信息或预编码矩阵。
该步骤的具体实现可参考上述实施例的步骤S608。
根据本申请实施例提供的一种信道状态信息反馈方法，终端反馈PMI的长周期和短周期上报量，接入网设备通过接收终端反馈的PMI的长周期和短周期上报量，根据该长周期上报量和短周期上报量可以确定信道信息或预编码矩阵。
可以理解的是，为了实现上述实施例中的功能，接入网设备和终端包括了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本申请中所公开的 实施例描述的各示例的单元及方法步骤，本申请能够以硬件或硬件和计算机软件相结合的形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用场景和设计约束条件。
图9和图10为本申请的实施例提供的可能的信道状态信息反馈装置的结构示意图。这些信道状态信息反馈装置可以用于实现上述方法实施例中终端或接入网设备的功能，因此也能实现上述方法实施例所具备的有益效果。在本申请的实施例中，该信道状态信息反馈装置可以是如图2所示的终端120a-120j中的一个，也可以是如图2所示的接入网设备110a或110b，还可以是应用于终端或接入网设备的模块(如芯片)。
如图9所示，信道状态信息反馈装置900包括处理单元910和收发单元920。信道状态信息反馈装置900用于实现上述图5、图6或图8中所示的方法实施例中终端或接入网设备的功能。
当信道状态信息反馈装置900用于实现图5或图6所示的方法实施例中终端的功能时：所述处理单元910，用于获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；以及所述收发单元920，用于发送所述PMI的长周期上报量。
可选地，所述收发单元920，还用于接收第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；以及所述处理单元910，用于根据所述第一投影量化信息，确定所述长周期上报量。
可选地，所述收发单元920，还用于发送第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；以及所述处理单元910，还用于根据所述第一投影量化信息和所述第二投影量化信息，确定所述长周期上报量。
可选地，所述处理单元910，还用于确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；以及所述收发单元920，还用于发送所述PMI的短周期上报量。
可选地，所述处理单元910，还用于对所述N个特征子空间波束进行正交化处理；以及所述处理单元910，还用于根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。
当信道状态信息反馈装置900用于实现图5或图6所示的方法实施例中接入网设备的功能时：所述收发单元920，用于接收信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个 DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；以及所述处理单元910，用于根据所述长周期上报量，恢复所述N个特征子空间波束。
可选地，所述收发单元920，还用于发送第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；以及所述处理单元910，用于根据所述第一投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
可选地，所述收发单元920，还用于接收第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；以及所述处理单元910，还用于根据所述第一投影量化信息、所述第二投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
可选地，所述收发单元920，还用于接收所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；以及所述处理单元910，还用于根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
可选地，所述处理单元910，还用于对恢复的所述N个特征子空间波束进行正交化处理；以及所述处理单元910，还用于根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
当信道状态信息反馈装置900用于实现图8所示的方法实施例中终端的功能时：所述处理单元910，用于获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；所述处理单元910，还用于确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；以及所述收发单元920，用于发送所述PMI的长周期上报量和短周期上报量。
可选地，所述处理单元910，还用于对所述N个特征子空间波束进行正交化处理；以及所述处理单元910，还用于根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。
当信道状态信息反馈装置900用于实现图8所示的方法实施例中接入网设备的功能时：所述收发单元920，用于接收信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；所述收发单元920，还用于接收所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；所述处理单元910，用于根据所述长周期上报量，恢复所述N个特征子空间波束；以及所述处理单元910，还用于 根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
可选地，所述处理单元910，还用于对恢复的所述N个特征子空间波束进行正交化处理；以及所述处理单元910，还用于根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
有关上述处理单元910和收发单元920更详细的描述可以直接参考图5、图6或图8所示的方法实施例中相关描述直接得到，这里不加赘述。
如图10所示，信道状态信息反馈装置1000包括处理器1010和接口电路1020。处理器1010和接口电路1020之间相互耦合。可以理解的是，接口电路1020可以为收发器或输入输出接口。可选的，信道状态信息反馈装置1000还可以包括存储器1030，用于存储处理器1010执行的指令或存储处理器1010运行指令所需要的输入数据或存储处理器1010运行指令后产生的数据。
当信道状态信息反馈装置1000用于实现图5、图6或图8所示的方法时，处理器1010用于实现上述处理单元910的功能，接口电路1020用于实现上述收发单元920的功能。
当上述信道状态信息反馈装置为应用于终端的芯片时，该终端芯片实现上述方法实施例中终端的功能。该终端芯片从终端中的其它模块(如射频模块或天线)接收信息，该信息是接入网设备发送给终端的；或者，该终端芯片向终端中的其它模块(如射频模块或天线)发送信息，该信息是终端发送给接入网设备的。
当上述信道状态信息反馈装置为应用于接入网设备的芯片时，该接入网设备芯片实现上述方法实施例中接入网设备的功能。该接入网设备芯片从接入网设备中的其它模块(如射频模块或天线)接收信息，该信息是终端发送给接入网设备的；或者，该接入网设备芯片向接入网设备中的其它模块(如射频模块或天线)发送信息，该信息是接入网设备发送给终端的。
可以理解的是，本申请的实施例中的处理器可以是中央处理单元(central processing unit，CPU)，还可以是其它通用处理器、数字信号处理器(digital signal processor，DSP)、专用集成电路(application specific integrated circuit，ASIC)、现场可编程门阵列(field programmable gate array，FPGA)或者其它可编程逻辑器件、晶体管逻辑器件，硬件部件或者其任意组合。通用处理器可以是微处理器，也可以是任何常规的处理器。
本申请的实施例中的方法步骤可以通过硬件的方式来实现，也可以由处理器执行软件指令的方式来实现。软件指令可以由相应的软件模块组成，软件模块可以被存放于随机存取存储器、闪存、只读存储器、可编程只读存储器、可擦除可编程只读存储器、电可擦除可编程只读存储器、寄存器、硬盘、移动硬盘、CD-ROM或者本领域熟知的任何其它形式的存储介质中。一种示例性的存储介质耦合至处理器，从而使处理器能够从该存储介质读取信息，且可向该存储介质写入信息。当然，存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外，该ASIC可以位于接入网设备或终端中。当然，处理器和存储介质也可以作为分立组件存在于接入网设备或终端中。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机程序或指令。在计算机上加载和执行所述计算机程序或指令时，全部或部分地执行本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、接入网设备、用户设备或者其它可编程装置。所述计算机程序或指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传 输，例如，所述计算机程序或指令可以从一个网站站点、计算机、服务器或数据中心通过有线或无线方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是集成一个或多个可用介质的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，例如，软盘、硬盘、磁带；也可以是光介质，例如，数字视频光盘；还可以是半导体介质，例如，固态硬盘。
在本申请的各个实施例中，如果没有特殊说明以及逻辑冲突，不同的实施例之间的术语和/或描述具有一致性、且可以相互引用，不同的实施例中的技术特征根据其内在的逻辑关系可以组合形成新的实施例。
本申请中，“至少一个”是指一个或者多个，“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B的情况，其中A,B可以是单数或者复数。在本申请的文字描述中，字符“/”，一般表示前后关联对象是一种“或”的关系；在本申请的公式中，字符“/”，表示前后关联对象是一种“相除”的关系。
可以理解的是，在本申请的实施例中涉及的各种数字编号仅为描述方便进行的区分，并不用来限制本申请的实施例的范围。上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定。

Claims (58)

  1. 一种信道状态信息反馈方法，其特征在于，所述方法包括：
    获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；
    发送所述PMI的长周期上报量。
  2. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    接收第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；
    根据所述第一投影量化信息，确定所述长周期上报量。
  3. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    发送第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；
    根据所述第一投影量化信息和所述第二投影量化信息，确定所述长周期上报量。
  4. 根据权利要求1-3中任一项所述的方法，其特征在于，所述方法还包括：
    确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；
    发送所述PMI的短周期上报量。
  5. 根据权利要求4所述的方法，其特征在于，所述发送PMI的短周期上报量之前，所述方法还包括：
    对所述N个特征子空间波束进行正交化处理；
    根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。
  6. 根据权利要求2所述的方法，其特征在于，所述第一特征子空间波束分组信息包括：
    所述N、所述N 1；或
    所述N、波束比例β；或
    所述N；或
    所述N 1、所述N 2。
  7. 根据权利要求2所述的方法，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量是所述第一组DFT基向量的子集。
  8. 根据权利要求7所述的方法，其特征在于，所述M 1个DFT基向量和所述M 2个DFT基向量是通过组合数方式指示的；
    所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第一基向量组中的一个，其中，所述第一基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述M 1个DFT基向量中选出的多个第二基向量组中的一个，其中，所述第二基向量组包括M 2个基向量。
  9. 根据权利要求7所述的方法，其特征在于，所述M 1个DFT基向量是通过第一比特位图的方式指示的，所述第一比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第二比特位图的方式指示的，所述第二比特位图包括M 1个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(M 1-M 2)个DFT基向量对应的比特值为第二值。
  10. 根据权利要求2所述的方法，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量不是所述第一组DFT基向量的子集。
  11. 根据权利要求10所述的方法，其特征在于，所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第三基向量组中的一个，其中，所述第三基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第四基向量组中的一个，其中，所述第四基向量组包括M 2个基向量。
  12. 根据权利要求10所述的方法，其特征在于，所述M 1个DFT基向量是通过第三比特位图的方式指示的，所述第三比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第四比特位图的方式指示的，所述第四比特位图包括P个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(P-M 2)个DFT基向量对应的比特值为第二值。
  13. 根据权利要求2所述的方法，其特征在于，所述第一DFT基向量个数信息包括：
    所述M 1、基向量个数比例δ；或
    所述M 1；或
    所述M 1、所述M 2。
  14. 一种信道状态信息反馈方法，其特征在于，所述方法包括：
    接收信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子 空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；
    根据所述长周期上报量，恢复所述N个特征子空间波束。
  15. 根据权利要求14所述的方法，其特征在于，所述方法还包括：
    发送第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；
    所述根据所述长周期上报量，恢复所述N个特征子空间波束，包括：
    根据所述第一投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
  16. 根据权利要求15所述的方法，其特征在于，所述方法还包括：
    接收第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；
    所述根据所述长周期上报量，恢复所述N个特征子空间波束，包括：
    根据所述第一投影量化信息、所述第二投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
  17. 根据权利要求14-16中任一项所述的方法，其特征在于，所述方法还包括：
    接收所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；
    根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
  18. 根据权利要求17所述的方法，其特征在于，所述根据所述长周期上报量，恢复所述N个特征子空间波束之后，所述方法还包括：
    对恢复的所述N个特征子空间波束进行正交化处理；
    根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
  19. 根据权利要求15所述的方法，其特征在于，所述第一特征子空间波束分组信息包括：
    所述N、所述N 1；或
    所述N、波束比例β；或
    所述N；或
    所述N 1、所述N 2。
  20. 根据权利要求15所述的方法，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量是所述第一组DFT基向量的子集。
  21. 根据权利要求20所述的方法，其特征在于，所述M 1个DFT基向量和所述M 2个DFT 基向量是通过组合数方式指示的；
    所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第一基向量组中的一个，其中，所述第一基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述M 1个DFT基向量中选出的多个第二基向量组中的一个，其中，所述第二基向量组包括M 2个基向量。
  22. 根据权利要求20所述的方法，其特征在于，所述M 1个DFT基向量是通过第一比特位图的方式指示的，所述第一比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第二比特位图的方式指示的，所述第二比特位图包括M 1个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(M 1-M 2)个DFT基向量对应的比特值为第二值。
  23. 根据权利要求15所述的方法，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量不是所述第一组DFT基向量的子集。
  24. 根据权利要求23所述的方法，其特征在于，所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第三基向量组中的一个，其中，所述第三基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第四基向量组中的一个，其中，所述第四基向量组包括M 2个基向量。
  25. 根据权利要求23所述的方法，其特征在于，所述M 1个DFT基向量是通过第三比特位图的方式指示的，所述第三比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第四比特位图的方式指示的，所述第四比特位图包括P个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(P-M 2)个DFT基向量对应的比特值为第二值。
  26. 根据权利要求15所述的方法，其特征在于，所述第一DFT基向量个数信息包括：
    所述M 1、基向量个数比例δ；或
    所述M 1；或
    所述M 1、所述M 2。
  27. 一种信道状态信息反馈装置，其特征在于，所述装置包括：处理单元和收发单元；其中：
    所述处理单元，用于获取信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量 组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息、所述M 1个DFT基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；
    所述收发单元，用于发送所述PMI的长周期上报量。
  28. 根据权利要求27所述的装置，其特征在于，所述收发单元，还用于接收第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；
    所述处理单元，用于根据所述第一投影量化信息，确定所述长周期上报量。
  29. 根据权利要求28所述的装置，其特征在于，所述收发单元，还用于发送第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；
    所述处理单元，还用于根据所述第一投影量化信息和所述第二投影量化信息，确定所述长周期上报量。
  30. 根据权利要求27-29中任一项所述的装置，其特征在于，所述处理单元，还用于确定所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数，所述长周期上报量和所述短周期上报量用于确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征；
    所述收发单元，还用于发送所述PMI的短周期上报量。
  31. 根据权利要求30所述的装置，其特征在于，所述处理单元，还用于对所述N个特征子空间波束进行正交化处理；
    所述处理单元，还用于根据所述正交化处理的N个特征子空间波束确定所述波束叠加系数。
  32. 根据权利要求28所述的装置，其特征在于，所述第一特征子空间波束分组信息包括：
    所述N、所述N 1；或
    所述N、波束比例β；或
    所述N；或
    所述N 1、所述N 2。
  33. 根据权利要求28所述的装置，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量是所述第一组DFT基向量的子集。
  34. 根据权利要求33所述的装置，其特征在于，所述M 1个DFT基向量和所述M 2个DFT基向量是通过组合数方式指示的；
    所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第一基向量组 中的一个，其中，所述第一基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述M 1个DFT基向量中选出的多个第二基向量组中的一个，其中，所述第二基向量组包括M 2个基向量。
  35. 根据权利要求33所述的装置，其特征在于，所述M 1个DFT基向量是通过第一比特位图的方式指示的，所述第一比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第二比特位图的方式指示的，所述第二比特位图包括M 1个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(M 1-M 2)个DFT基向量对应的比特值为第二值。
  36. 根据权利要求28所述的装置，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量不是所述第一组DFT基向量的子集。
  37. 根据权利要求36所述的方法或装置，其特征在于，所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第三基向量组中的一个，其中，所述第三基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第四基向量组中的一个，其中，所述第四基向量组包括M 2个基向量。
  38. 根据权利要求36所述的装置，其特征在于，所述M 1个DFT基向量是通过第三比特位图的方式指示的，所述第三比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第四比特位图的方式指示的，所述第四比特位图包括P个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(P-M 2)个DFT基向量对应的比特值为第二值。
  39. 根据权利要求28所述的装置，其特征在于，所述第一DFT基向量个数信息包括：
    所述M 1、基向量个数比例δ；或
    所述M 1；或
    所述M 1、所述M 2。
  40. 一种信道状态信息反馈装置，其特征在于，所述装置包括：收发单元和处理单元；其中：
    所述收发单元，用于接收信道状态信息中的预编码索引PMI的长周期上报量，其中，所述长周期上报量用于确定N个特征子空间波束，所述N个特征子空间波束包括N 1个特征子空间波束和N 2个特征子空间波束，所述N 1个特征子空间波束由第一组离散傅里叶变换DFT基向量组合中的M 1个DFT基向量线性组合表征，所述N 2个特征子空间波束由第二组DFT基向量组合中的M 2个DFT基向量线性组合表征，N、N 1、N 2、M 1、M 2均为正整数，所述长周期上报量包括所述M 1个DFT基向量的指示信息、所述M 2个DFT基向量的指示信息，所述M 1个DFT 基向量的线性组合系数和所述M 2个DFT基向量的线性组合系数；
    所述处理单元，用于根据所述长周期上报量，恢复所述N个特征子空间波束。
  41. 根据权利要求40所述的装置，其特征在于，所述收发单元，还用于发送第一投影量化信息，所述第一投影量化信息包括以下至少一项：第一特征子空间波束分组信息、第一DFT基向量选择范围信息、第一DFT基向量个数信息；
    所述处理单元，用于根据所述第一投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
  42. 根据权利要求41所述的装置，其特征在于，所述收发单元，还用于接收第二投影量化信息，所述第二投影量化信息包括以下至少一项：第二特征子空间波束分组信息、第二DFT基向量选择范围信息、第二DFT基向量个数信息；
    所述处理单元，还用于根据所述第一投影量化信息、所述第二投影量化信息和所述长周期上报量，恢复所述N个特征子空间波束。
  43. 根据权利要求40-42中任一项所述的装置，其特征在于，所述收发单元，还用于接收所述PMI的短周期上报量，所述短周期上报量包括波束叠加系数；
    所述处理单元，还用于根据所述短周期上报量和所述长周期上报量，确定信道信息或预编码矩阵，所述信道信息或预编码矩阵通过所述N个特征子空间波束的线性叠加表征。
  44. 根据权利要求43所述的装置，其特征在于，所述处理单元，还用于对恢复的所述N个特征子空间波束进行正交化处理；
    所述处理单元，还用于根据所述波束叠加系数和所述正交化处理的N个特征子空间波束，确定所述信道信息或所述预编码矩阵。
  45. 根据权利要求41所述的装置，其特征在于，所述第一特征子空间波束分组信息包括：
    所述N、所述N 1；或
    所述N、波束比例β；或
    所述N；或
    所述N 1、所述N 2。
  46. 根据权利要求41或45所述的装置，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量是所述第一组DFT基向量的子集。
  47. 根据权利要求46所述的装置，其特征在于，所述M 1个DFT基向量和所述M 2个DFT基向量是通过组合数方式指示的；
    所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第一基向量组中的一个，其中，所述第一基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述M 1个DFT基向量中选出的多个第二基向量组中的一个，其中，所述第二基向量组包括M 2个基向量。
  48. 根据权利要求46所述的装置，其特征在于，所述M 1个DFT基向量是通过第一比特位图的方式指示的，所述第一比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第二比特位图的方式指示的，所述第二比特位图包括M 1个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(M 1-M 2)个DFT基向量对应的比特值为第二值。
  49. 根据权利要求41或45所述的装置，其特征在于，所述第一DFT基向量选择范围信息用于指示所述第二组DFT基向量不是所述第一组DFT基向量的子集。
  50. 根据权利要求49所述的装置，其特征在于，所述特征子空间波束的维度为P×1，对应的DFT基向量全集包括P个DFT基向量，所述M 1个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第三基向量组中的一个，其中，所述第三基向量组包括M 1个基向量；
    所述M 2个DFT基向量的指示信息用于指示从所述P个DFT基向量中选出的多个第四基向量组中的一个，其中，所述第四基向量组包括M 2个基向量。
  51. 根据权利要求49所述的装置，其特征在于，所述M 1个DFT基向量是通过第三比特位图的方式指示的，所述第三比特位图包括P个比特，被选中的M 1个DFT基向量对应的比特值为第一值，未被选中的(P-M 1)个DFT基向量对应的比特值为第二值；
    所述M 2个DFT基向量是通过第四比特位图的方式指示的，所述第四比特位图包括P个比特，被选中的M 2个DFT基向量对应的比特值为第一值，未被选中的(P-M 2)个DFT基向量对应的比特值为第二值。
  52. 根据权利要求41或45所述的装置，其特征在于，所述第一DFT基向量个数信息包括：
    所述M 1、基向量个数比例δ；或
    所述M 1；或
    所述M 1、所述M 2。
  53. 一种信道状态信息反馈装置，其特征在于，包括处理器，所述处理器用于与存储器耦合，并读取存储器中的指令，并根据所述指令实现如权利要求1-13、14-26中任一项所述的方法。
  54. 一种信道状态信息反馈系统，其特征在于，包括如权利要求27-39中任一项所述的装置以及如权利要求40-52中任一项所述的装置。
  55. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现如权利要求1-13、14-26中任一项所述的方法。
  56. 一种芯片，其特征在于，所述芯片，用于执行如权利要求1-13中任一项所述的方法，或用于执行如权利要求14-26中任一项所述的方法。
  57. 一种芯片模组，其特征在于，包括收发组件和芯片，所述芯片，用于执行如权利要求1-13中任一项所述的方法，或用于执行如权利要求14-26中任一项所述的方法。
  58. 一种计算机程序产品，其特征在于，所述计算机程序产品用于当在计算设备上执行时，执行如权利要求1-13中任一项所述的方法，或用于执行如权利要求14-26中任一项所述的方法。
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