WO2019062556A1 - 信道状态信息反馈和接收方法、发送端设备和接收端设备 - Google Patents

信道状态信息反馈和接收方法、发送端设备和接收端设备 Download PDF

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Publication number
WO2019062556A1
WO2019062556A1 PCT/CN2018/105572 CN2018105572W WO2019062556A1 WO 2019062556 A1 WO2019062556 A1 WO 2019062556A1 CN 2018105572 W CN2018105572 W CN 2018105572W WO 2019062556 A1 WO2019062556 A1 WO 2019062556A1
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layer
matrix
transport layer
indication information
codebook indication
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PCT/CN2018/105572
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English (en)
French (fr)
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金黄平
蒋鹏
韩玮
尚鹏
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华为技术有限公司
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Priority to EP18860170.2A priority Critical patent/EP3675380B1/en
Publication of WO2019062556A1 publication Critical patent/WO2019062556A1/zh
Priority to US16/829,389 priority patent/US10985824B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0645—Variable feedback
    • H04B7/065—Variable contents, e.g. long-term or short-short
    • 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
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. 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
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/046—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account
    • H04B7/0469—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account taking special antenna structures, e.g. cross polarized antennas into account
    • H—ELECTRICITY
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    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/0478—Special codebook structures directed to feedback optimisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/0486—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking channel rank into account
    • H—ELECTRICITY
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    • 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
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
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    • H04B—TRANSMISSION
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    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/063—Parameters other than those covered in groups H04B7/0623 - H04B7/0634, e.g. channel matrix rank or transmit mode selection
    • H—ELECTRICITY
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    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
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    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
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    • H—ELECTRICITY
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    • H04B7/00—Radio transmission systems, i.e. using radiation field
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    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
    • 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
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0658—Feedback reduction
    • H04B7/066—Combined feedback for a number of channels, e.g. over several subcarriers like in orthogonal frequency division multiplexing [OFDM]
    • 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
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0658—Feedback reduction
    • H04B7/0663—Feedback reduction using vector or matrix manipulations

Definitions

  • the present application relates to the field of communications, and in particular, to a channel state information feedback and receiving method, a transmitting end device, and a receiving end device.
  • Massive multiple-input multiple-output is one of the industry's recognized 5G key technologies, and achieves significant improvements in spectral efficiency through the use of large-scale antennas.
  • CSI channel state information
  • TDD time division duplex
  • FDD frequency division duplex
  • a beam combination technique is generally as follows: selecting a plurality of codewords from a predefined codebook, and using a weighted sum of the plurality of codewords as a precoding vector .
  • one codeword corresponds to one beam direction, that is, an optimal multiple codeword is selected from a plurality of candidate codewords, and each weighting coefficient of each of the plurality of codewords is
  • the superposition coefficients including the wideband superposition coefficients and the narrowband superposition coefficients, are reported as CSI information in the form of a pre-coding matrix indicator (PMI).
  • PMI pre-coding matrix indicator
  • NR New radio
  • the present application provides a channel state information feedback and reception method, a sender device, and a sink device.
  • the present application provides a channel state information feedback method, including: a source device generates code base indication information of a K layer transport layer, where K is an integer greater than or equal to 1; wherein, for at least one transport layer of the K layer transport layer For each layer of the transport layer, the codebook indication information includes: narrowband superposition coefficients of N subbands of the layer; the number of narrowband superposition coefficients of the N subbands is less than R(L-1)*N; N is greater than or equal to 2.
  • R is the number of polarization directions, R is an integer greater than or equal to 1
  • L is the number of beam information used by the K layer transmission layer, and L is an integer greater than or equal to 2; the transmitting device transmits the codebook indication information.
  • the receiving end device receives the codebook indication information of the K layer transport layer, and then determines the precoding vector of each layer of the K layer transport layer according to the codebook indication information.
  • the number of narrowband superposition coefficients of the N subbands of the transport layer carried by the codebook indication information is smaller than R (L-1)*N, that is, the feedback superposition coefficient is reduced compared to the prior art, which helps to reduce the feedback overhead of channel state information.
  • the present application further provides a sender device, including: a processor and a transceiver.
  • the processor is configured to generate codebook indication information of the K layer transport layer, where K is an integer greater than or equal to 1; wherein, for each transport layer in at least one transport layer of the K layer transport layer, the codebook indication
  • the information includes: a narrowband superposition coefficient of N subbands of the layer; the number of narrowband superposition coefficients of the N subbands is less than R(L-1)*N; N is an integer greater than or equal to 2, and R is a number of polarization directions, R is an integer greater than or equal to 1, L is the number of beam information used by the K layer transmission layer, L is an integer greater than or equal to 2, and the transceiver is configured to transmit the codebook indication information.
  • the present application further provides a receiving end device, including: a transceiver and a processor.
  • the transceiver is configured to receive codebook indication information of the K layer transport layer, where K is an integer greater than or equal to 1; wherein, for each transport layer in at least one transport layer of the K layer transport layer, the codebook indication
  • the information includes: a narrowband superposition coefficient of N subbands of the layer; the number of narrowband superposition coefficients of the N subbands is less than R(L-1)*N; N is an integer greater than or equal to 2, and R is a number of polarization directions, R is an integer greater than or equal to 1, L is the number of beam information used by the K layer transmission layer, and L is an integer greater than or equal to 2.
  • a processor configured to determine, according to the codebook indication information, a precoding vector of each layer of the K layer transport layer.
  • the information contained in the codebook indication information may refer to the foregoing technical solution, or may be implemented according to the method in the prior art.
  • the receiving device can determine the precoding vector of the layer transport layer according to a corresponding method. For example, for any other layer of the transport layer in the K layer transport layer, if the codebook indication information includes R(L-1)*N narrowband superposition coefficients, or includes RL*N narrowband superposition coefficients, etc. .
  • R(L-1)*N and RL*N refer to the following detailed description of the embodiments, and details are not described herein again.
  • the receiving end device can determine the precoding vector of the layer transport layer according to Equation 1 of the specific implementation section.
  • the foregoing sending end device may be a network device, such as a base station, or a terminal; the receiving end device may be a terminal, or may be a network device, such as a base station.
  • R(L-1)*N represents the number of elements to be transmitted in the matrix obtained by normalizing the matrix formed by the narrow-band superposition coefficients of the N sub-bands of one transport layer.
  • the narrowband superposition coefficient herein specifically refers to a combination of narrowband superposition coefficients.
  • the narrowband superposition coefficient combination may include only the narrowband phase coefficient, and may include both the narrowband phase coefficient and the narrowband amplitude coefficient.
  • N subbands of a layer of transport layer may generally be all subbands of a layer of transport layer.
  • the codebook indication information may also include, for example but not limited to, at least one of the following information: beam information used by the K layer transmission layer, broadband superposition coefficient, and the like.
  • the narrowband superposition coefficients representing the N subbands of the layer form a matrix C, matrix C
  • the number of elements in is RL*N.
  • the method further includes: the transmitting end device converts the matrix C to obtain at least two sub-matrices; or the transmitting end device normalizes the matrix C, and performs normalization.
  • the transformed matrix is transformed to obtain at least two sub-matrices.
  • the codebook indication information includes elements of the at least two sub-matrices.
  • the receiving end device determines the precoding vector of each layer of the K layer transmission layer according to the codebook indication information, and may include: the receiving end device uses the element according to the at least two sub-matrices, and uses the conversion step The algorithm recovers the matrix C and determines the precoding vector of the first transport layer according to the restored matrix C.
  • the algorithm used when performing the conversion step includes at least one of the following: an SVD algorithm, a QR decomposition algorithm, and the like.
  • normalizing the matrix C by the sending end device may include: the sending end device uniformly normalizes each element in the matrix C. Alternatively, the transmitting device normalizes the elements in each column of the matrix C uniformly.
  • the narrowband superposition coefficients representing the N subbands of the layer form a matrix C, matrix C
  • the number of elements in the device is N*RL; before the transmitting device generates the codebook indication information of the K layer transport layer, the method further includes: the transmitting device selects the T column element from the matrix C, where T is smaller than the number of columns of the matrix C And the codebook indication information includes the T column element.
  • the receiving end device determines the precoding vector of each layer of the K layer transmission layer according to the codebook indication information, and may include: the receiving end device according to the T column element, and the location information of the T column element in the matrix C, The matrix C is recovered, and the precoding vector of the first transport layer is determined according to the restored matrix C.
  • the codebook indication information may further include: location information of the T column element in the matrix C.
  • the location information may also be pre-agreed by both parties.
  • the narrowband superposition coefficients representing the N subbands of the layer form a matrix C, matrix C
  • the number of elements in the device is N*RL; before the transmitting device generates the codebook indication information of the K layer transport layer, the method further includes: the sending end device selects the T column element from the matrix C, and normalizes the T column element. And wherein T is smaller than the number of columns of the matrix C, and the codebook indication information includes the normalized T column element.
  • the receiving end device determines the precoding vector of each layer of the K layer transmission layer according to the codebook indication information, and may include: the receiving end device according to the normalized T column element, and the normalized T The position information of the column elements in the matrix C recovers the matrix C, and the precoding vector of the first transmission layer is determined according to the restored matrix C.
  • the sending end device normalizes the T column element, and the method includes: the sending end device uniformly normalizes each element in each column of the T column element.
  • the codebook indication information may further include: location information of the T column element in the matrix C. In addition, the location information may also be pre-agreed by both parties.
  • the foregoing technical solution for performing normalization can quantize the converted matrix, the T column element or the normalized T column element within a limited range, so that the matrix recovered by the receiving device can be reduced.
  • the difference between C and the matrix C before the conversion device performs the conversion step, thereby improving the accuracy of the finally obtained precoding vector.
  • the embodiment of the present application provides a base station, which has a function of realizing the behavior of the base station in the actual method.
  • the functions may be implemented by hardware or by corresponding software implemented by hardware.
  • the hardware or software includes one or more modules corresponding to the functions described above.
  • the structure of the base station includes a processor and a transceiver configured to support the base station to perform the corresponding functions in the above methods.
  • the transceiver is configured to support communication between the base station and the terminal, and send information or signaling involved in the foregoing method to the terminal, and receive information or instructions sent by the base station.
  • the base station can also include a memory for coupling with the processor that stores the necessary program instructions and data for the base station.
  • the embodiment of the present application provides a terminal, where the terminal has a function of implementing terminal behavior in the design of the foregoing method.
  • the function can be implemented by hardware, and the structure of the terminal includes a transceiver and a processor.
  • the corresponding software implementation can also be performed by hardware.
  • the hardware or software includes one or more modules corresponding to the functions described above.
  • the modules can be software and/or hardware.
  • an embodiment of the present application provides a control node, which may include a controller/processor, a memory, and a communication unit.
  • the controller/processor can be used to coordinate resource management and configuration between a plurality of base stations, and can be used to perform the method of channel state information feedback described in the above embodiments.
  • the memory can be used to store program code and data for the control node.
  • the communication unit is configured to support the control node to communicate with the base station, for example, to send information of the configured resource to the base station.
  • the transmitting end device and the receiving end device may be a chip, which includes a processor and an interface.
  • the processor When implemented by hardware, the processor may be a logic circuit, an integrated circuit, or the like; when implemented by software, the The processor may be a general purpose processor implemented by reading software code stored in a memory, which may be integrated in the processor and may be external to the processor.
  • the embodiment of the present application provides a processor, where the processor may include:
  • At least one circuit for generating codebook indication information of the K layer transport layer where K is an integer greater than or equal to 1; wherein, for each transport layer in at least one transport layer of the K layer transport layer, the codebook indication information
  • the method includes: a narrowband superposition coefficient of N subbands of the layer; a number of narrowband superposition coefficients of the N subbands is smaller than R(L-1)*N; N is an integer greater than or equal to 2, and R is a number of polarization directions, R Is an integer greater than or equal to 1, L is the number of beam information used by the K layer transmission layer, and L is an integer greater than or equal to 2.
  • At least one circuit for transmitting the codebook indication information by a transmitter At least one circuit for transmitting the codebook indication information by a transmitter.
  • the narrowband superposition coefficients representing the N subbands of the layer form a matrix C, and the number of elements in the matrix C is RL. *N.
  • the processor may further include: at least one circuit for converting the matrix C to obtain at least two sub-matrices; or, for normalizing the matrix C, and converting the normalized matrix to obtain at least one Two sub-matrices.
  • the processor may further comprise: at least one circuit for selecting a T column element from the matrix C, wherein T is smaller than the number of columns of the matrix C, and the codebook indication information includes the T column element. Or for selecting a T column element from the matrix C and normalizing the T column element, wherein T is smaller than the number of columns of the matrix C, and the codebook indication information includes the normalized T column element .
  • the embodiment of the present application provides a processor, where the processor may include:
  • At least one circuit configured to determine a precoding vector of each layer of the K layer transmission layer according to the codebook indication information.
  • At least one transport layer includes a first transport layer, and narrowband superposition coefficients representing N subbands of the first transport layer form a matrix C, and the number of elements in the matrix C is RL*N;
  • the indication information includes elements in at least two sub-matrices obtained after matrix C conversion.
  • At least one circuit for determining a precoding vector of each layer of the K layer transport layer specifically for: recovering the matrix C according to an element in the at least two sub-matrices and an algorithm used when performing the converting step, and according to The recovered matrix C determines the precoding vector of the first transport layer.
  • At least one transport layer includes a first transport layer, and narrowband superposition coefficients representing N subbands of the first transport layer form a matrix C, and the number of elements in the matrix C is RL*N;
  • the indication information includes the T column elements in the matrix C; T is smaller than the number of columns of the matrix C.
  • At least one circuit for determining a precoding vector of each layer of the K layer transmission layer specifically for: recovering the matrix C according to the T column element and the position information of the T column element in the matrix C, and recovering according to the The matrix C determines the precoding vector of the first transport layer.
  • an embodiment of the present application provides a communication system, where the system includes the base station and the terminal in the foregoing aspect.
  • the control node in the above embodiment may also be included.
  • the embodiment of the present application provides a computer storage medium for storing computer software instructions used by the base station, which includes a program designed to perform the above aspects.
  • the embodiment of the present application provides a computer storage medium for storing computer software instructions used by the terminal, which includes a program designed to execute the above aspects.
  • the technical solution provided by the present application has the beneficial effects that, for each of the at least one transport layer in the K layer transport layer, the narrowband superposition of the N subbands of the transport layer carried by the codebook indication information
  • the number of coefficients is less than R(L-1)*N, that is, the superposition coefficient is reduced compared to the prior art feedback, which helps to reduce the feedback overhead of channel state information.
  • FIG. 1 is a schematic diagram of a wireless communication network to which the technical solution provided by the present application is applied;
  • FIG. 2 is a schematic flowchart of a channel state information feedback and reception method provided by the present application
  • FIG. 3 is a schematic structural diagram of a transmitting end device provided by the present application.
  • FIG. 4 is a schematic structural diagram of a receiving end device provided by the present application.
  • the wireless communication network 100 includes base stations 102-106 and terminal devices 108-122, wherein the base stations 102-106 can pass backhaul links with each other (e.g., lines between base stations 102-106) Communication is shown, which may be a wired backhaul link (eg, fiber optic, copper) or a wireless backhaul link (eg, microwave).
  • the terminal devices 108-122 can communicate with the corresponding base stations 102-106 via a wireless link (as indicated by the broken line between the base stations 102-106 and the terminal devices 108-122).
  • the base stations 102-106 are configured to provide wireless access services for the terminal devices 108-122.
  • each base station corresponds to a service coverage area (also referred to as a cell, as shown in each ellipse area in FIG. 1), and the terminal device entering the area can communicate with the base station by using a wireless signal to receive the base station.
  • Wireless access service provided.
  • a plurality of base stations may use a coordinated multipoint (CoMP) technology to provide services for terminal devices in the overlapping area.
  • CoMP coordinated multipoint
  • the base station 102 overlaps with the service coverage area of the base station 104, and the terminal device 112 is within the overlapping area, so the terminal device 112 can receive the wireless signals from the base station 102 and the base station 104.
  • Base station 102 and base station 104 can simultaneously provide services to terminal device 112.
  • the service coverage areas of the base station 102, the base station 104, and the base station 106 have a common overlapping area, and the terminal device 120 is within the overlapping area, so the terminal device 120 can receive the base station.
  • the wireless signals 102, 104, and 106, the base stations 102, 104, and 106 can simultaneously serve the terminal device 120.
  • the base station may also be referred to as a Node B (NodeB), an evolved Node B (eNodeB), and an access point (AP) depending on the wireless communication technology used.
  • NodeB Node B
  • eNodeB evolved Node B
  • AP access point
  • the base station can be further divided into a macro base station for providing a macro cell, a micro base station for providing a pico cell, and for providing a femto cell ( Femto cell) Femto base station.
  • Femto cell Femto cell
  • the terminal devices 108-118 are devices with wireless transceiving functions that can be deployed on land, including indoors or outdoors, handheld, wearable or on-board; can also be deployed on the water surface (such as ships), and can also be deployed in the air (eg, Aircraft, balloons and satellites, etc.)
  • the terminal device may be a mobile phone, a tablet, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, and industrial control ( Wireless terminal in industrial control, wireless terminal in self driving, wireless terminal in remote medical, wireless terminal in smart grid, transportation safety A wireless terminal, a wireless terminal in a smart city, a wireless terminal in a smart home, and the like.
  • the embodiment of the present application does not limit the application scenario.
  • a terminal device may also be referred to as a user equipment (UE), an access terminal device, a UE unit, a UE station, a mobile station, a mobile station, a remote station, a remote terminal device, a mobile device, a UE terminal device, a terminal device, Wireless communication device, UE proxy or UE device, and the like.
  • UE user equipment
  • the base stations 102-106 and the terminal devices 108-122 can be configured with multiple antennas to support multiple inputs and multiple outputs.
  • the terminal devices 108-122 can support single-user MIMO (SU-MIMO) technology or multi-user MIMO (MU-MIMO), where MU-MIMO can be based on Space division multiple access (SDMA) technology is implemented. Since multiple antennas are configured, the base stations 102-106 and the terminal devices 108-122 can flexibly support single input single output (SISO) technology, single input multiple output (SIMO), and multiple input.
  • SU-MIMO single-user MIMO
  • MU-MIMO multi-user MIMO
  • SDMA Space division multiple access
  • the base stations 102-106 and the terminal devices 108-122 can flexibly support single input single output (SISO) technology, single input multiple output (SIMO), and multiple input.
  • SISO single input single output
  • SIMO single input multiple output
  • MISO Multiple input single output
  • multiplexing techniques such as but not limited to transmit diversity and receive diversity
  • diversity techniques may include, for example, but not limited to, (transmit diversity, TD) techniques and Receive diversity (RD) technology
  • the multiplexing technology may be a spatial multiplexing technology.
  • currently used transmit diversity may include, for example, but not limited to, space-time transmit diversity (STTD), space-frequency transmit diversity (space-frequency transmit diversity).
  • STTD space-time transmit diversity
  • space-frequency transmit diversity space-frequency transmit diversity
  • SFTD time switched transmit diversity
  • FSTD frequency switch transmit diversity
  • OTD orthogonal transmit diversity
  • cyclic delay diversity cyclic delay diversity
  • CDD CDD equal diversity
  • Transmission diversity method such as (space time block coding, STBC), space frequency block coding (SFBC), and CDD.
  • the base station 102 and the terminal devices 104-110 can communicate using various wireless communication technologies, such as, but not limited to, time division multiple access (TDMA) technology, frequency division multiple access (FDMA).
  • TDMA time division multiple access
  • FDMA frequency division multiple access
  • CDMA code division multiple access
  • TD-SCDMA time division-synchronous code division multiple access
  • OFDMA orthogonal frequency division multiple access
  • SC-FDMA Single carrier frequency division multiple access
  • SDMA space division multiple access
  • the above wireless communication technology is adopted as a radio access technology (RAT) by many wireless communication standards, thereby constructing various wireless communication systems (or networks) well known today, including but not limited to Global system for mobile communications (GSM), CDMA2000, wideband CDMA (WCDMA), WiFi defined by the 802.11 series of standards, worldwide interoperability for microwave access (WiMAX), long-term Long term evolution (LTE), LTE-advanced (LTE-A), and evolution systems of these wireless communication systems.
  • the wireless communication network shown in FIG. 1 may be any system or network in the above wireless communication system.
  • the technical solutions provided by the embodiments of the present application can be applied to the above various wireless communication technologies and wireless communication systems unless otherwise specified.
  • the terms "system” and “network” can be replaced with each other.
  • the wireless communication network 100 shown in FIG. 1 is for example only and is not intended to limit the technical solution of the present application. It should be understood by those skilled in the art that in a specific implementation process, the wireless communication network 100 further includes other devices, and the number of base stations and terminal devices may also be configured according to specific needs.
  • a network device such as a base station
  • the terminal needs to report accurate CSI.
  • the channel state information is reported to the base station in the form of a precoding codebook.
  • the precoding codebook is first described as follows.
  • the related art in the present application is in the Chinese application number 201710284175.3, and the invention name is "a method and device for indicating and determining a precoding vector".
  • introductions which can be referred to in full text.
  • the pre-encoded codebook can be represented as a two-level codebook structure:
  • W1 is long-term broadband information
  • W2 is short-term narrowband information
  • W1 contains a beam index and a broadband superposition coefficient that require feedback
  • W2 includes a narrowband superposition coefficient.
  • the wideband superposition coefficient corresponds to the quantization of the wideband amplitude
  • the narrowband superposition coefficient corresponds to the quantization of the narrowband amplitude and the narrowband phase.
  • the broadband superposition coefficient may include a wideband amplitude coefficient
  • the narrowband superposition coefficient may include a narrowband amplitude coefficient and a narrowband phase coefficient.
  • a codebook of a certain transport layer can be expressed as:
  • b i is the beam used to represent the CSI selection when using the beam combining method.
  • the narrowband superposition coefficient represents the quantification of the narrowband superposition coefficients.
  • the narrowband superposition coefficients include narrowband phase coefficients.
  • a narrowband amplitude coefficient may also be included.
  • the narrowband superposition coefficient includes a narrowband amplitude coefficient and a narrowband phase coefficient as an example.
  • the narrowband amplitude coefficient represents the quantization of the narrowband amplitude.
  • the narrowband phase coefficient represents the quantization of the narrowband phase.
  • the precoding codebook above may be considered as an ideal precoding vector in the application number 201710284175.3, and the invention name is "a method and device for indicating and determining a precoding vector".
  • the case where the number of polarization directions is 2 is taken as an example.
  • the above scheme describes the precoding codebook corresponding to the layer 1 transport layer (rank1).
  • the above W2 codebook matrix will be K columns, and the corresponding W2 feedback overhead will be K times the rank1, which increases the feedback overhead.
  • the present application provides a channel state information feedback and reception method that can achieve low overhead.
  • the sender device in the present application may be a terminal device in the wireless communication network 100.
  • the receiving device may be a base station in the wireless communication network 100 described above.
  • the transmitting device in the present application may also be a base station in the wireless communication network 100.
  • the receiving device may be a terminal device in the wireless communication network 100.
  • the channel state information feedback and receiving method provided by the present application includes the following steps 200 to 203:
  • Step 200 The sending end device generates codebook indication information of the K layer transport layer, where K is an integer greater than or equal to 1; wherein, for each transport layer in the at least one transport layer of the K layer transport layer, the K layer transport layer
  • the codebook indication information includes: a narrowband superposition coefficient of N subbands of the layer; the number of narrowband superposition coefficients of the N subbands is smaller than R(L-1)*N; N is an integer greater than or equal to 2, and R is a polarization direction
  • the number, R is an integer greater than or equal to 1
  • L is the number of beam information used by the K layer transmission layer
  • L is an integer greater than or equal to 2.
  • the L beam information used by the K layer transport layer may be used to indicate a group of beams b 0 to b L-1 .
  • the beam information is information used to indicate the beam, such as but not limited to an index of the beam. In this application, one beam corresponds to one beam information.
  • the L pieces of beam information used by the K layer transport layer refer to L pieces of beam information used by the receiving end device to construct the K layer transport layer. In some examples, for each transport layer, the receiving end device uses all of the L beam information to construct a precoding vector for the transport layer.
  • R(L-1)*N which represents the number of elements to be transmitted in the matrix obtained by normalizing the matrix formed by the narrow-band superposition coefficients of the N sub-bands of one transport layer.
  • N*R(L-1) the number of elements to be transmitted in the matrix obtained by normalizing the matrix formed by the narrow-band superposition coefficients of the N sub-bands of one transport layer.
  • N*R(L-1) the meaning of N*R(L-1)
  • Equation 1 A vector consisting of narrow-band superposition coefficients of a sub-band of a transport layer, which is a vector of 2L*1.
  • the narrow-band superposition coefficients of the N sub-bands of one transmission layer constitute a matrix C, and the matrix C is a 2L*N matrix.
  • the matrix C is a matrix of RL*N.
  • the matrix C can be normalized.
  • narrowband superposition coefficients which are normalized references, often do not require transmission. It can be understood that after normalizing the matrix of RL*N, it is generally required to transmit R(L-1)*N elements in addition to the narrowband superposition coefficients as the normalization reference. The specific implementation manner of normalizing the matrix C is not limited in this application.
  • the narrowband superposition coefficients described in the step 200 and in the above explanation of R(L-1)*N specifically refer to a combination of narrowband superposition coefficients. Specifically, if the narrowband superposition coefficient includes only the narrowband phase coefficient, each element in the matrix C represents a narrowband phase coefficient. If the narrowband superposition coefficients include narrowband amplitude coefficients and narrowband phase coefficients, each element in matrix C represents the product of a narrowband amplitude coefficient and its corresponding narrowband phase coefficient.
  • the N subbands of a layer of transport layer may generally be all subbands of a layer of transport layer.
  • the narrow-band superposition coefficients about the transport layer carried in the codebook indication information may refer to the foregoing step 200.
  • the codebook indication information of the K layer transport layer may also include, for example but not limited to, at least one of the following information: beam information used by the K layer transport layer, broadband superposition coefficient, and the like.
  • the information contained in the codebook indication information may refer to the foregoing technical solution, or may be implemented according to the method in the prior art.
  • the codebook indication information includes R(L-1)*N narrowband superposition coefficients, or includes RL*N narrowband superposition coefficients and the like. The explanation of R(L-1)*N and RL*N can be referred to above.
  • Step 201 The sender device sends the codebook indication information of the K layer transport layer.
  • the codebook indication information of the K layer transport layer may be a PMI or other information.
  • the codebook indication information of the K layer transport layer may be carried in one or more messages for transmission.
  • the transmission period of different information in the codebook indication information of the K layer transmission layer may be the same or different.
  • the beam information and the wideband superposition coefficients used by the K-layer transmission layer may be long-period transmissions, and the narrow-band superposition coefficients may be short-period transmissions.
  • Step 202 The receiving end device receives the codebook indication information of the K layer transport layer.
  • Step 203 The receiving end device generates a precoding vector of each layer of the K layer transport layer according to the codebook indication information of the K layer transport layer.
  • the precoding vector of the layer transport layer other than the at least one layer in the K layer transport layer can be implemented according to the method in the prior art. For example, if the codebook indication information includes R(L-1)*N narrowband superposition coefficients for the other transmission layer in the K layer transmission layer, or includes RL*N narrowband superposition coefficients, The receiving end device can obtain the precoding vector of the layer transport layer according to the above formula 1.
  • the narrowband superposition coefficient of the N subbands of the transport layer of the transport layer carried by the codebook indication information The number is less than R(L-1)*N, that is, the feedback superposition coefficient is reduced compared to the prior art, which helps to reduce the feedback overhead of channel state information.
  • the number of narrowband superposition coefficients of the N subbands of a layer of the transport layer carried by the codebook indication information is less than R(L-1)*N, and is not limited. Here are a few possible implementations.
  • the narrow-band superposition coefficients representing the N sub-bands of the layer constitute a matrix C, and the number of elements in the matrix C is RL*N.
  • the number of elements in the matrix C and the constitution of the matrix C, etc. reference may be made to the above.
  • Manner 1 The transmitting device converts the matrix C to obtain at least two sub-matrices. In this case, for the first transport layer, some or all of the at least two sub-matrices are included in the codebook indication information of the K-layer transport layer.
  • Manner 2 The transmitting device normalizes the matrix C and converts the normalized matrix to obtain at least two sub-matrices. In this case, for the first transport layer, part or all of the at least two sub-matrices are included in the codebook indication information of the K-layer transport layer.
  • step 203 may include: recovering the matrix C according to the elements in the at least two sub-matrices and the algorithm used in performing the converting step, and determining the first transport layer according to the restored matrix C. Precoding vector.
  • the algorithm used by the transmitting end device to perform the converting step is different, and/or the information transmitted in the indication information of the K layer transport layer codebook is different, which may cause the receiving end device to recover the matrix C, and
  • the matrix C before the transmitting device performs the conversion step differs. It can be understood that, for the receiving end device, it does not know whether the restored matrix C is different from the matrix C before the transmitting end device performs the conversion step.
  • the algorithm used by the transmitting device to perform the converting step may be, for example but not limited to, at least one of the following: a singular value decomposition (SVD) algorithm and an orthogonal triangular (QR) decomposition algorithm.
  • SVD singular value decomposition
  • QR orthogonal triangular
  • the algorithm used when the transmitting device performs the conversion step is an SVD algorithm.
  • U and V H are unitary matrices and S is a diagonal matrix.
  • U is a matrix of RL*RL
  • VH is a matrix of N*N.
  • S is a matrix of RL*N.
  • the values on the diagonal of the matrix S represent the eigenvalues of the matrix C.
  • V H is a conjugate transposed matrix of matrix V.
  • the codebook indication information of the K layer transport layer may include: t feature values on the diagonal of the matrix S, t columns in the matrix U, and the matrix V H t rows (ie t columns in matrix V). Where t is a value less than or equal to the rank of the matrix C.
  • the t columns in the matrix U may be, for example but not limited to, the first t columns in the matrix U; the t columns in the matrix V may be, for example but not limited to, t columns in the matrix V.
  • the receiving device can recover the matrix C without loss, that is, the matrix C recovered by the receiving device is the same as the matrix C before the transmitting device performs the converting step.
  • normalizing the matrix C affects the magnitude of the values of the elements on the diagonal in the matrix S.
  • the quantization range of the elements in the matrix S (ie, the feature value of the matrix C) carried in the codebook indication information of the K layer transmission layer is 0 to Tmax, where Tmax is usually an empirical value.
  • the quantization range of the elements in the matrix S (ie, the feature value of the matrix C) carried in the codebook indication information of the K layer transport layer is 0 to 1.
  • the elements in the matrix S can be quantized in a limited range by normalization, so that the difference between the matrix C recovered by the receiving device and the matrix C before the transmitting device performs the conversion step can be reduced. Thereby improving the accuracy of the resulting precoding vector.
  • the normalization of the matrix C by the transmitting device can be implemented in one of the following two ways: 1) The transmitting device normalizes the elements in the matrix C uniformly, specifically: in the matrix C The element with the largest value is normalized to the other elements in the matrix C as a normalized basis. 2) The transmitting device normalizes each element in each column of the matrix C uniformly. Specifically, for each column element in the matrix C, the element with the largest value among the column elements is used as a normalized reference pair. The other elements in the column element are normalized.
  • Mode 3 The transmitting device selects the T column element from the matrix C. Where T is less than the number of columns of the matrix C. In this case, for the first transport layer, the T-column element is included in the codebook indication information of the K-layer transport layer.
  • the transmitting device selects the T column element from the matrix C and normalizes the T column element. Where T is less than the number of columns of the matrix C.
  • the codebook indication information of the K layer transport layer includes the normalized T column element.
  • step 203 may include recovering the matrix C according to the T column element and the position information of the T column element in the matrix C, and determining the precoding vector of the first transmission layer according to the matrix C.
  • the T column element in step 203 specifically refers to the normalized T column element. Since the receiving end device does not know or need to know whether the T column element is a normalized element, from the perspective of the receiving end device, the T column element is considered to be a matrix C. The T column element in .
  • each column element in the matrix C represents a vector composed of narrow-band superposition coefficients of one sub-band of the transmission layer, and therefore, the receiving device can be estimated according to the prediction.
  • the correlation between the T sub-bands corresponding to the T column elements and the remaining CT sub-bands is recovered by interpolation (such as linear interpolation).
  • the rule used when the T-column element is selected from the matrix obtained by normalizing the matrix C or the matrix C is not limited in this application.
  • the selection rule may be, for example but not limited to, statically configured, such as configured by the sender device and the receiver device according to a protocol; or semi-statically configured, such as by radio resource control (RRC) signaling or Medium access control (MAC) signaling, etc.; or dynamically configured, such as by downlink control information (DCI).
  • RRC radio resource control
  • MAC Medium access control
  • DCI downlink control information
  • the static, semi-static or dynamic configuration selection rule is to make the receiving device know the position information of the T-column element in the matrix C.
  • the location information of the T column element in the matrix C may be preset or may be configured by signaling.
  • the selection rule may be, for example but not limited to, one of the following: a rule for selecting an odd column from the matrix C, a rule for selecting an even column from the matrix C, and selecting every other column starting from a column of the matrix C.
  • the information on the location information of the T-column elements in the matrix C is not limited.
  • it may be a selection rule or a number of a column of the selected T column element.
  • the quantization range of the T column element carried in the codebook indication information of the K layer transmission layer is 0 to Tmax, where Tmax is usually an empirical value.
  • the quantization range of the T column elements carried in the codebook indication information of the K layer transport layer is 0 to 1.
  • the normalization enables the T-column elements to be quantized within a limited range, so that the difference between the matrix C recovered by the receiving device and the matrix C before the transmitting device performs the conversion step can be reduced, thereby improving The accuracy of the resulting precoding vector.
  • the device at the transmitting end normalizes the T column element, and can be implemented in the following manner: the transmitting device uniformly normalizes each element in each column of the selected T column element, specifically: for the T column
  • Each column element of an element normalizes the other elements in the column element as the normalization basis for the element with the highest value in the column element.
  • channel state information feedback method and the receiving method provided by the embodiments of the present application are described from the perspective of method implementation, and the steps or operations shown in the methods of the foregoing embodiments are merely examples. , you can also perform other operations or deformation of various operations. Also, in the specific implementation, the various steps may be performed in a different order than that described in the embodiments of the present application, and may not perform all the operations or steps shown in the embodiments of the present application. Alternatively, it is also possible to perform more of the operations or steps shown in the various embodiments of the present application.
  • the size of the sequence numbers of the above processes does not mean the order of execution, and the order of execution of each process should be determined by its function and internal logic, and should not be implemented in the present application.
  • the implementation of the examples constitutes any limitation.
  • the foregoing sending end device may be a network device, such as a base station, or may be a terminal.
  • the receiving end device may be a terminal or a network device such as a base station.
  • the sending end device of the present application may be a terminal, and the receiving end device may be a network device.
  • a terminal 500 provided by an embodiment of the present application includes at least a processor 504 and a transceiver 508.
  • the processor 504 is configured to generate codebook indication information of the K layer transport layer, where K is an integer greater than or equal to 1; wherein, for each transport layer in at least one transport layer of the K layer transport layer, the codebook indication
  • the information includes: a narrowband superposition coefficient of N subbands of the layer; the number of narrowband superposition coefficients of the N subbands is less than R(L-1)*N; N is an integer greater than or equal to 2, and R is a number of polarization directions, R is an integer greater than or equal to 1, L is the number of beam information used by the K layer transmission layer, and L is an integer greater than or equal to 2.
  • the transceiver 508 is configured to send the codebook indication information of the K layer transport layer generated by the processor 504.
  • the narrowband superposition coefficients of the N subbands of the layer form a matrix C, and the number of elements in the matrix C is RL*N;
  • the processor 504 is further configured to: convert the matrix C to obtain at least two sub-matrices; or, normalize the matrix C, and normalize the matrix C.
  • the matrix is transformed to obtain at least two sub-matrices; wherein the codebook indication information includes elements in at least two sub-matrices.
  • the algorithm used when performing the conversion step includes at least one of the following: an SVD algorithm, a QR decomposition algorithm, and the like.
  • the narrowband superposition coefficients of the N subbands of the layer form a matrix C, and the number of elements in the matrix C is RL*N;
  • the processor 504 is further configured to: select a T column element from the matrix C, where T is smaller than the number of columns of the matrix C; the codebook indication information includes a T column element; Alternatively, the T column element is selected from the matrix C, and the T column element is normalized, wherein T is smaller than the number of columns of the matrix C; the codebook indication information includes the normalized T column element.
  • the codebook indication information further includes location information of the T column element in the matrix C.
  • the above transceiver 508 can be used to perform the actions of the terminal to transmit or transmit to the network device described in the foregoing method embodiments, and the processor 504 can be used to perform the actions implemented by the terminal as described in the foregoing method embodiments.
  • the processor 504 can be used to perform the actions implemented by the terminal as described in the foregoing method embodiments.
  • the terminal can also include a memory 519 that stores computer-executed instructions; the processor 504 and the memory 519 can be integrated into a processing device, and the processor 504 can execute the program code stored in the memory 519 to implement the functions described above.
  • the memory 519 can also be integrated in the processor 504 when implemented.
  • the terminal may further include a power source 512 for providing power to various devices or circuits in the terminal.
  • the terminal may include an antenna 510 for transmitting uplink data or uplink control signaling output by the transceiver 508 through the wireless signal.
  • the terminal may further include one or more of an input unit 514, a display unit 516, an audio circuit 518, a camera 520, a sensor 522, and the like, and the audio circuit may further include Speaker 5182, microphone 5184, and the like.
  • a network device 600 provided by an embodiment of the present application includes at least a processor 604 and a transceiver 608.
  • the transceiver 608 is configured to receive codebook indication information of the K layer transport layer, where K is an integer greater than or equal to 1; wherein, for each transport layer in at least one transport layer of the K layer transport layer, the codebook indication information
  • the method includes: a narrowband superposition coefficient of N subbands of the layer; a number of narrowband superposition coefficients of the N subbands is smaller than R(L-1)*N; N is an integer greater than or equal to 2, and R is a number of polarization directions, R Is an integer greater than or equal to 1, L is the number of beam information used by the K layer transmission layer, and L is an integer greater than or equal to 2.
  • the processor 604 is configured to determine a precoding vector of each layer of the K layer transport layer according to the beam information associated with the K layer transport layer.
  • the network device may further include a memory 603, configured to save the codebook indication information received by the transceiver 608 or save the precoding vector processed by the processor 604.
  • the processor 604 and the memory 603 may be combined to form a processing device, and the processor 604 is configured to execute the program code stored in the memory 603 to implement the above functions.
  • the memory 603 can also be integrated in the processor 604 when implemented.
  • the at least one transport layer includes a first transport layer, and the narrowband superposition coefficients of the N subbands of the first transport layer form a matrix C, and the number of elements in the matrix C is RL*N;
  • the codebook indication information Included in the at least two sub-matrices obtained after the matrix C conversion;
  • the processor 604 is specifically configured to: recover the matrix C according to the elements in the at least two sub-matrices and the algorithm used in performing the conversion step, and according to the recovered A matrix C determines a precoding vector of the first transport layer.
  • the at least one transport layer includes a first transport layer, and the narrowband superposition coefficients of the N subbands of the first transport layer form a matrix C, and the number of elements in the matrix C is RL*N; the codebook indication information The T column element in the matrix C is included; T is smaller than the number of columns of the matrix C; the processor 604 is specifically configured to: the receiving end device recovers the matrix C according to the T column element and the position information of the T column element in the matrix C, and Based on the recovered matrix C, a precoding vector of the first transport layer is determined.
  • the codebook indication information further includes: location information of the T column element in the matrix C.
  • the network device may further include an antenna 610, configured to send downlink data or downlink control signaling output by the transceiver 608 by using a wireless signal.
  • the processor 504 of the terminal and the processor 604 of the network device may be a central processing unit (CPU), a network processor (NP) or a combination of a CPU and an NP.
  • the processor may further include a hardware chip.
  • the hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof.
  • the PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a general array logic (GAL), or any combination thereof.
  • the memory 12 of the terminal and the memory 22 of the network device may include volatile memory (volatile
  • RAM random access memory
  • HDD hard disk drive
  • SSD solid state A solid-state drive
  • the memory may also include a combination of the above types of memories.
  • the network device in the embodiment of the present application may correspond to the network device in the method embodiment of the present application
  • the terminal may correspond to the terminal in the method embodiment of the present application.
  • the above-mentioned and other operations and/or functions of the respective modules of the network device and the terminal are respectively implemented in order to implement the corresponding processes of the foregoing method embodiments.
  • the description of the method embodiments of the present application may be applied to the device embodiment, and Let me repeat.
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product.
  • the technical solution of the present application which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including
  • the instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

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Abstract

本申请实施例公开了信道状态信息反馈和接收方法、发送端设备和接收端设备，涉及通信领域，有助于降低信道状态信息的反馈开销。信道状态信息反馈方法包括：发送端设备生成K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数；发送端设备发送该码本指示信息。

Description

信道状态信息反馈和接收方法、发送端设备和接收端设备
本申请要求于2017年09月26日提交中国专利局、申请号为201710896701.1、申请名称为“信道状态信息反馈和接收方法、发送端设备和接收端设备”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
本申请涉及通信领域，尤其涉及一种信道状态信息反馈和接收方法、发送端设备和接收端设备。
背景技术
大规模多输入多输出(multiple-input multiple-output，Massive MIMO)是业界公认的5G关键技术之一，通过使用大规模天线，实现频谱效率的显著提升。
基站获取的信道状态信息(channel state information，CSI)的准确性在很大程度上决定了Massive MIMO的性能。在信道互异性不能很好满足的时分双工(time division duplex，TDD)系统或频分双工(frequency division duplex，FDD)系统中，通常采用码本来量化CSI。因此，码本设计是Massive MIMO的一个关键问题，也是本申请所要解决的问题。
长期演进(long term evolution，LTE)系统中，波束组合(beam combination)技术通常如下：从预先定义的码本中选择多个码字，并将该多个码字的加权之和作为预编码向量。一般一个码字对应一个波束(beam)方向，即从多个备选码字中选取最优的多个码字，并将该多个码字中的每一码字的每一加权系数(即叠加系数，包括宽带叠加系数和窄带叠加系数)以预编码矩阵指示(pre-coding matrix indicator，PMI)的形式作为CSI信息上报。新无线(new radio，NR)Massive MIMO对信道状态信息反馈提出更高要求，上述机制已无法满足NR节省信令开销的需求。
发明内容
为了满足NR Massive MIMO系统对于信道状态信息反馈提出的要求，本申请提供了一种信道状态信息反馈和接收方法、发送端设备和接收端设备。
本申请提供了一种信道状态信息反馈方法，包括：发送端设备生成K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数；发送端设备发送该码本指示信息。接收端设备接收K层传输层的码本指示信息，然后根据该码本指示信息，确定K层传输层各层的预编码向量。该技术方案中，对于K层传输层中的至少一层传输层中的每一层传输层来说，码本指示信息携带的该层传输层的N个子带的窄带叠加系数的个数小于R(L-1)*N，也就是说，相比现有技术，反馈的叠加系数减少，这有助于降低信道状态信息的反馈开销。
相应的，本申请还提供了一种发送端设备，包括：处理器和收发器。其中，处理 器，用于生成K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数；收发器，用于发送该码本指示信息。
另一方面，本申请还提供了一种接收端设备，包括：收发器和处理器。其中，收发器，用于接收K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数。处理器，用于根据该码本指示信息，确定K层传输层各层的预编码向量。
应注意，对于K层传输层中的其他任一层传输层来说，该码本指示信息中包含的信息可以参考上述技术方案，也可以按照现有技术中的方法实现。相应的，接收端设备可以按照对应的方法确定该层传输层的预编码向量。例如，对于K层传输层中的其他任一层传输层来说，若该码本指示信息中包含R(L-1)*N个窄带叠加系数，或者，包含RL*N个窄带叠加系数等。其中，R(L-1)*N和RL*N的解释可参考下文具体实施方式部分，此处不再赘述。接收端设备可以按照具体实施方式部分的公式1确定该层传输层的预编码向量。
在具体实现过程中，上述发送端设备可以是网络设备例如基站，也可以是终端；接收端设备可以是终端，也可以是网络设备例如基站。
在具体实现过程中，R(L-1)*N，表示一层传输层的N个子带的窄带叠加系数构成的矩阵归一化后得到的矩阵中需要传输的元素个数。在具体实现过程中，这里的窄带叠加系数，具体是指窄带叠加系数组合。其中，窄带叠加系数组合可以仅包含窄带相位系数，也可以既包含窄带相位系数又包含窄带幅度系数。
在具体实现过程中，一层传输层的N个子带，通常可以是一层传输层的全部子带。
在具体实现过程中，该码本指示信息还可以例如但不限于包括以下信息中的至少一种：K层传输层使用的波束信息，宽带叠加系数等信息。
在具体实现过程中，对于K层传输层的至少一层传输层中的任一传输层(假设标记为第一传输层)，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N。在发送端设备生成K层传输层的码本指示信息之前，还包括：发送端设备对矩阵C进行转换，得到至少两个子矩阵；或者，发送端设备对矩阵C进行归一化，并对归一化后的矩阵进行转换，得到至少两个子矩阵。在这两种方式中的任一方式中，该码本指示信息包括该至少两个子矩阵中的元素。相应的，接收端设备根据该码本指示信息，确定K层传输层各层的预编码向量，可以包括：接收端设备根据该至少两个子矩阵中的元素，以及执行所述转换步骤时使用的算法，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。可选的，执行转换步骤时使用的算法包括以下至少一种：SVD算法、QR分解算法等。可选的，发送端设备对矩阵C进行归一化可以包括：发送端设备对矩阵C中的各元素统一进行归一化。或者，发送端 设备对矩阵C的每列中的各元素统一进行归一化。
在具体实现过程中，对于K层传输层的至少一层传输层中的任一传输层(假设标记为第一传输层)，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是N*RL；在发送端设备生成K层传输层的码本指示信息之前，还包括：发送端设备从矩阵C中选择T列元素，其中，T小于矩阵C的列数，且该码本指示信息包括该T列元素。相应的，接收端设备根据该码本指示信息，确定K层传输层各层的预编码向量，可以包括：接收端设备根据该T列元素，以及该T列元素在矩阵C中的位置信息，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。可选的，该码本指示信息还可以包括：该T列元素在矩阵C中的位置信息。另外，该位置信息也可以是收发双方预先约定好的。
在具体实现过程中，对于K层传输层的至少一层传输层中的任一传输层(假设标记为第一传输层)，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是N*RL；在发送端设备生成K层传输层的码本指示信息之前，还包括：发送端设备从矩阵C中选择T列元素，并对该T列元素进行归一化，其中，T小于矩阵C的列数，且该码本指示信息包括归一化后的该T列元素。相应的，接收端设备根据该码本指示信息，确定K层传输层各层的预编码向量，可以包括：接收端设备根据归一化后的该T列元素，以及归一化后的该T列元素在矩阵C中的位置信息，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。可选的，发送端设备对该T列元素进行归一化，可以包括：发送端设备对该T列元素的每列中的各元素统一进行归一化。可选的，该码本指示信息还可以包括：该T列元素在矩阵C中的位置信息。另外，该位置信息也可以是收发双方预先约定好的。
可以理解的，上述执行归一化的技术方案，可以使得转换后的矩阵、T列元素或归一化后的T列元素在有限范围内进行量化，这样，能够降低接收端设备恢复出的矩阵C与发送端设备执行转换步骤前的矩阵C之间的差异，从而提高最终得到的预编码向量的精确度。
另一方面，本申请实施例提供了一种基站，该基站具有实现上述方法实际中基站行为的功能。所述功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的模块。
在一个可能的设计中，基站的结构中包括处理器和收发器，所述处理器被配置为支持基站执行上述方法中相应的功能。所述收发器用于支持基站与终端之间的通信，向终端发送上述方法中所涉及的信息或者信令，接收基站所发送的信息或指令。所述基站还可以包括存储器，所述存储器用于与处理器耦合，其保存基站必要的程序指令和数据。
又一方面，本申请实施例提供了一种终端，该终端具有实现上述方法设计中终端行为的功能。所述功能可以通过硬件实现，终端的结构中包括收发器和处理器。也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的模块。所述模块可以是软件和/或硬件。
又一方面，本申请实施例提供了一种控制节点，可以包括控制器/处理器，存储器以及通信单元。所述控制器/处理器可以用于协调多个基站之间的资源管理和配置，可 以用于执行上述实施例描述的信道状态信息反馈的方法。存储器可以用于存储控制节点的程序代码和数据。所述通信单元，用于支持该控制节点与基站进行通信，譬如将所配置的资源的信息发送给基站。
又一方面，所述发送端设备和接收端设备可以是一个芯片，其包括处理器和接口，通过硬件实现时，该处理器可以是逻辑电路、集成电路等；当通过软件来实现时，该处理器可以是一个通用处理器，通过读取存储器中存储的软件代码来实现，该存储器可以集成在处理器中，可以位于所述处理器之外，独立存在。
又一方面，本申请实施例提供了一种处理器，该处理器可以包括：
至少一个电路，用于生成K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数。
至少一个电路，用于通过发射器发送该码本指示信息。
在一种可能的设计中，对于K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N。该处理器还可以包括：至少一个电路，用于对矩阵C进行转换，得到至少两个子矩阵；或者，用于对矩阵C进行归一化，并对归一化后的矩阵进行转换，得到至少两个子矩阵。
在一种可能的设计中，对于K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是N*RL；该处理器还可以包括：至少一个电路，用于从矩阵C中选择T列元素，其中，T小于矩阵C的列数，且该码本指示信息包括该T列元素。或者，用于从矩阵C中选择T列元素，并对该T列元素进行归一化，其中，T小于矩阵C的列数，且该码本指示信息包括归一化后的该T列元素。
又一方面，本申请实施例提供了一种处理器，该处理器可以包括：
至少一个电路，用于通过接收器接收K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数。
至少一个电路，用于根据该码本指示信息，确定K层传输层各层的预编码向量。
在一种可能的设计中，至少一层传输层包括第一传输层，表示第一传输层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N；该码本指示信息包括矩阵C转换后得到的至少两个子矩阵中的元素。用于确定K层传输层各层的预编码向量的至少一个电路，具体用于：根据该至少两个子矩阵中的元素，以及执行所述转换步骤时使用的算法，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。
在一种可能的设计中，至少一层传输层包括第一传输层，表示第一传输层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N；该码本指示信息包括 矩阵C中的T列元素；T小于矩阵C的列数。用于确定K层传输层各层的预编码向量的至少一个电路，具体用于：根据该T列元素，以及该T列元素在矩阵C中的位置信息，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。
又一方面，本申请实施例提供了一种通信系统，该系统包括上述方面所述的基站和终端。可选地，还可以包括上述实施例中的控制节点。
再一方面，本申请实施例提供了一种计算机存储介质，用于储存为上述基站所用的计算机软件指令，其包含用于执行上述方面所设计的程序。
再一方面，本申请实施例提供了一种计算机存储介质，用于储存为上述终端所用的计算机软件指令，其包含用于执行上述方面所设计的程序。
本申请提供的技术方案的有益效果是：对于K层传输层中的至少一层传输层中的每一层传输层来说，码本指示信息携带的该层传输层的N个子带的窄带叠加系数的个数小于R(L-1)*N，也就是说，相比现有技术反馈的叠加系数减少，这有助于降低信道状态信息的反馈开销。
附图说明
图1是本申请提供的技术方案所适用的一种无线通信网络的示意图；
图2是本申请提供的一种信道状态信息反馈和接收方法的流程示意图；
图3是本申请提供的一种发送端设备的结构示意图；
图4是本申请提供的一种接收端设备的结构示意图。
具体实施方式
下面就结合相应的附图对本申请实施例提供的技术方案进行详细的描述。
如图1所示，是本申请提供的技术方案所适用的一种无线通信网络100的示意图。如图1所示，无线通信网络100包括基站102～106和终端设备108～122，其中，基站102～106彼此之间可通过回程(backhaul)链路(如基站102～106彼此之间的直线所示)进行通信，该回程链路可以是有线回程链路(例如光纤、铜缆)，也可以是无线回程链路(例如微波)。终端设备108～122可通过无线链路(如基站102～106与终端设备108～122之间的折线所示)与对应的基站102～106通信。
基站102～106用于为终端设备108～122提供无线接入服务。具体来说，每个基站都对应一个服务覆盖区域(又可称为蜂窝，如图1中各椭圆区域所示)，进入该区域的终端设备可通过无线信号与基站通信，以此来接受基站提供的无线接入服务。基站的服务覆盖区域之间可能存在交叠，处于交叠区域内的终端设备可收到来自多个基站的无线信号，因此可以同时由多个基站为该终端设备提供服务。例如，多个基站可以采用多点协作(coordinated multipoint，CoMP)技术为处于上述交叠区域的终端设备提供服务。例如，如图1所示，基站102与基站104的服务覆盖区域存在交叠，终端设备112便处于该交叠区域之内，因此终端设备112可以收到来自基站102和基站104的无线信号，基站102和基站104可以同时为终端设备112提供服务。又例如，如图1所示，基站102、基站104和基站106的服务覆盖区域存在一个共同的交叠区域，终端设备120便处于该交叠区域之内，因此终端设备120可以收到来自基站102、104和106的无线信号，基站102、104和106可以同时为终端设备120提供服务。
依赖于所使用的无线通信技术，基站又可称为节点B(NodeB)，演进节点B(evolved  NodeB,eNodeB)以及接入点(access point，AP)等。此外，根据所提供的服务覆盖区域的大小，基站又可分为用于提供宏蜂窝(macro cell)的宏基站、用于提供微蜂窝(pico cell)的微基站和用于提供毫微微蜂窝(femto cell)的毫微微基站。随着无线通信技术的不断演进，未来的基站也可以采用其他的名称。
终端设备108～118是一种具有无线收发功能的设备可以部署在陆地上，包括室内或室外、手持、穿戴或车载；也可以部署在水面上(如轮船等)；还可以部署在空中(例如飞机、气球和卫星上等)。所述终端设备可以是手机(mobile phone)、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality，VR)终端设备、增强现实(augmented reality，AR)终端设备、工业控制(industrial control)中的无线终端、无人驾驶(self driving)中的无线终端、远程医疗(remote medical)中的无线终端、智能电网(smart grid)中的无线终端、运输安全(transportation safety)中的无线终端、智慧城市(smart city)中的无线终端、智慧家庭(smart home)中的无线终端等等。本申请的实施例对应用场景不做限定。终端设备有时也可以称为用户设备(user equipment，UE)、接入终端设备、UE单元、UE站、移动站、移动台、远方站、远程终端设备、移动设备、UE终端设备、终端设备、无线通信设备、UE代理或UE装置等。
基站102～106，和终端设备108～122均可配置有多根天线，以支持多入多出
(multiple input multiple output，MIMO)技术。进一步的说，终端设备108～122既可以支持单用户MIMO(single-user MIMO，SU-MIMO)技术，也可以支持多用户MIMO(multi-user MIMO，MU-MIMO)，其中MU-MIMO可以基于空分多址(space division multiple access，SDMA)技术来实现。由于配置有多根天线，基站102～106和终端设备108～122还可灵活支持单入单出(single input single output，SISO)技术、单入多出(single input multiple output，SIMO)和多入单出(multiple input single output，MISO)技术，以实现各种分集(例如但不限于发射分集和接收分集)和复用技术，其中分集技术可以包括例如但不限于(transmit diversity，TD)技术和接收分集(receive diversity，RD)技术，复用技术可以是空间复用(spatial multiplexing)技术。而且上述各种技术还可以包括多种实现方案，例如目前常用的发射分集可以包括，例如但不限于，空时发射分集(space-time transmit diversity，STTD)、空频发射分集(space-frequency transmit diversity，SFTD)、时间切换发射分集(time switched transmit diversity，TSTD)、频率切换发射分集(frequency switch transmit diversity，FSTD)、正交发射分集(orthogonal transmit diversity，OTD)、循环延迟分集(cyclic delay diversity，CDD)等分集方式，以及上述各种分集方式经过衍生、演进以及组合后获得的分集方式。例如，目前LTE标准便采用了空时块编码
(space time block coding，STBC)、空频块编码(space frequency block coding，SFBC)和CDD等发射分集方式。
此外，基站102与终端设备104～110可采用各种无线通信技术进行通信，例如但不限于，时分多址(time division multiple access，TDMA)技术、频分多址(frequency division multiple access，FDMA)技术、码分多址(code division multiple access，CDMA)技术、时分同步码分多址(time division-synchronous code division multiple  access，TD-SCDMA)、正交频分多址(orthogonal FDMA，OFDMA)技术、单载波频分多址(single carrier FDMA，SC-FDMA)技术、空分多址(space division multiple access，SDMA)技术以及这些技术的演进及衍生技术等。上述无线通信技术作为无线接入技术(radio access technology，RAT)被众多无线通信标准所采纳，从而构建出了在今天广为人们所熟知的各种无线通信系统(或者网络)，包括但不限于全球移动通信系统(global system for mobile communications，GSM)、CDMA2000、宽带CDMA(wideband CDMA，WCDMA)、由802.11系列标准中定义的WiFi、全球互通微波存取(worldwide interoperability for microwave access，WiMAX)、长期演进(long term evolution，LTE)、LTE升级版(LTE-advanced，LTE-A)以及这些无线通信系统的演进系统等。图1所示的无线通信网络便可以是上述无线通信系统中的任意系统或者网络。如无特别说明，本申请实施例提供的技术方案可应用于上述各种无线通信技术和无线通信系统。此外，术语“系统”和“网络”可以相互替换。
应注意，图1所示的无线通信网络100仅用于举例，并非用于限制本申请的技术方案。本领域的技术人员应当明白，在具体实现过程中，无线通信网络100还包括其他设备，同时也可根据具体需要来配置基站和终端设备的数量。
示例的，上述无线通信网络100中，网络设备例如基站需要获得信道状态信息，就需要终端上报准确的CSI，通常是以预编码码本的形式，将信道状态信息上报至基站。
在详细说明本申请的实现方式之前，首先对预编码码本说明如下，另外，本申请相关技术在中国申请号为201710284175.3，发明名称为“一种指示及确定预编码向量的方法和设备”里有介绍，可全文参考。
基于波束组合机制的高精度CSI反馈，预编码码本可以表示为两级码本结构：
W＝W 1×W 2
其中，W1是长时宽带的信息，W2是短时窄带的信息。W1包含需要反馈的波束索引(beam index)和宽带叠加系数，W2包含窄带叠加系数。宽带叠加系数对应的是宽带幅度的量化，窄带叠加系数对应的是窄带幅度和窄带相位的量化。其中，宽带叠加系数可以包括宽带幅度系数，窄带叠加系数可以包括窄带幅度系数和窄带相位系数。
通常，对于K层传输层(rank-K)的预编码码本，其中某一传输层的码本可以表示为：
Figure PCTCN2018105572-appb-000001
其中，
Figure PCTCN2018105572-appb-000002
由
Figure PCTCN2018105572-appb-000003
和
Figure PCTCN2018105572-appb-000004
合成得到。
其中，b i为使用波束组合方法时用于表示CSI选取的beam。
Figure PCTCN2018105572-appb-000005
为宽带波束幅度系 数，代表了对宽带幅度的量化。
Figure PCTCN2018105572-appb-000006
为窄带叠加系数，代表了对窄带叠加系数的量化。窄带叠加系数包括窄带相位系数。可选的，还可以包括窄带幅度系数。上述公式1中是以窄带叠加系数包括窄带幅度系数和窄带相位系数为例进行说明的。
Figure PCTCN2018105572-appb-000007
为窄带幅度系数，代表了对窄带幅度的量化。
Figure PCTCN2018105572-appb-000008
为窄带相位系数，代表了对窄带相位的量化。其中，0≤i<L，L为该层传输层使用的波束信息个数。
需要说明的是，上文中的预编码码本可以认为是申请号为201710284175.3，发明名称为“一种指示及确定预编码向量的方法和设备”中的理想预编码向量。另外，公式1中是以极化方向个数是2为例进行说明的。
以上方案描述了1层传输层(rank1)对应的预编码码本，对于K层传输层(rank-K)的预编码码本，上述W2码本矩阵将为K列，对应W2反馈开销将是rank1的K倍，这会增加反馈开销。
本申请提供了一种可以实现低开销的信道状态信息反馈和接收方法，具体的在上述无线通信网络100中，具体的，本申请中的发送端设备可以是上述无线通信网络100中的终端设备，该情况下，接收端设备可以是上述无线通信网络100中的基站。另外，本申请中的发送端设备也可以是上述无线通信网络100中的基站，该情况下，接收端设备可以是上述无线通信网络100中的终端设备。本申请提供的信道状态信息反馈和接收方法如图2所示，包括如下步骤200至步骤203：
步骤200、发送端设备生成K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，K层传输层的码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数。
其中，K层传输层使用的L个波束信息可以用于指示一组波束b 0～b L-1。波束信息即用于指示波束的信息，例如但不限于是波束的索引。本申请中，一个波束对应一个波束信息。K层传输层使用的L个波束信息是指接收端设备用于构建该K层传输层时所使用的L个波束信息。在一些示例中，对于每一传输层，接收端设备均使用该L个波束信息中的全部波束信息来构建该传输层的预编码向量。
R(L-1)*N，表示一层传输层的N个子带的窄带叠加系数构成的矩阵归一化后得到的矩阵中需要传输的元素个数。为了清楚说明N*R(L-1)的含义，首先可参考上述公式1。在上述公式1中，
Figure PCTCN2018105572-appb-000009
具体表示一层传输层的一个子带的窄带叠加系数构成的向量，该向量是2L*1的向量。进一步地，一层传输层的N个子带的窄带叠加系数构成一个矩阵C，矩阵C是一个2L*N的矩阵。可以理解的，若极化方向个数为R，R是大于等于2的整数，则该矩阵C是RL*N的矩阵。在一种可选的实现方式中，可以对矩阵C进行归一化。并且，作为归一化基准的窄带叠加系数往往不需要传输。可以理解的，对RL*N的矩阵进行归一化后，一般需要传输除作为归一化基准的窄带叠加系数之外的R(L-1)*N个元素。关于对矩阵C进行归一化的具体实现方式，本申请不进行限定。
应注意，本申请中，步骤200中以及上述对R(L-1)*N的解释中，描述的窄带叠加 系数，具体是指窄带叠加系数组合。具体的，若窄带叠加系数仅包括窄带相位系数，则矩阵C中的每一元素表示一个窄带相位系数。若窄带叠加系数包括窄带幅度系数和窄带相位系数，则矩阵C中的每一元素表示一个窄带幅度系数与其对应的窄带相位系数的乘积。
应注意，一层传输层的N个子带，通常可以是一层传输层的全部子带。并且，对于K层传输层中的部分或全部传输层中的每一传输层来说，码本指示信息中携带的关于该传输层的窄带叠加系数均可以参考上述步骤200。
应注意，实际实现时，K层传输层的码本指示信息还可以例如但不限于包括以下信息中的至少一种：K层传输层使用的波束信息，宽带叠加系数等信息。
应注意，对于K层传输层中的其他任一层传输层来说，该码本指示信息中包含的信息可以参考上述技术方案，也可以按照现有技术中的方法实现。例如，对于K层传输层中的其他任一层传输层来说，码本指示信息中包含R(L-1)*N个窄带叠加系数，或者，包含RL*N个窄带叠加系数等。其中R(L-1)*N和RL*N的解释可参考上文。
步骤201：发送端设备发送K层传输层的码本指示信息。
K层传输层的码本指示信息可以是PMI，也可以是其他信息。K层传输层的码本指示信息可以携带在一个或者多个消息进行传输。另外，K层传输层的码本指示信息中的不同信息的传输周期可以相同，也可以不同。例如，相比较而言，K层传输层使用的波束信息和宽带叠加系数可以是长周期传输，窄带叠加系数可以是短周期传输。
步骤202、接收端设备接收K层传输层的码本指示信息。
步骤203、接收端设备根据K层传输层的码本指示信息，生成K层传输层各层的预编码向量。
关于步骤200中所述的至少一层传输层中任一层传输层的预编码向量的获取方式可参考下文，此处不再赘述。关于K层传输层中的除该至少一层之外的其他层传输层的预编码向量，可以按照现有技术中的方法实现。例如，若对于K层传输层中的其他任一层传输层来说，码本指示信息中包含R(L-1)*N个窄带叠加系数，或者，包含RL*N个窄带叠加系数，则接收端设备可以按照上述公式1获取该层传输层的预编码向量。
本申请提供的技术方案中，对于K层传输层中的至少一层传输层中的每一层传输层来说，码本指示信息携带的该层传输层的N个子带的窄带叠加系数的个数小于R(L-1)*N，也就是说，相比现有技术，反馈的叠加系数减少，这有助于降低信道状态信息的反馈开销。
本申请对如何实现码本指示信息携带的一层传输层的N个子带的窄带叠加系数的个数小于R(L-1)*N，不进行限定。下面提供几种可能的实现方式。
在下述各实现方式中，假设对于任一传输层(为了便于描述，下文标记为第一传输层)，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N。关于矩阵C中的元素个数及矩阵C的构成方式等均可以参考上文。
方式一：发送端设备对矩阵C进行转换，得到至少两个子矩阵。该情况下，对于第一传输层，K层传输层的码本指示信息中包括该至少两个子矩阵中的部分或全部元素。
方式二：发送端设备对矩阵C进行归一化，并对归一化后的矩阵进行转换，得到至少两个子矩阵。该情况下，对于第一传输层，K层传输层的码本指示信息中包括该至少 两个子矩阵中的部分或全部元素。
基于方式一、二，步骤203可以包括：根据所述至少两个子矩阵中的元素，以及执行转换步骤时使用的算法，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。
需要说明的是，发送端设备执行转换步骤时使用的算法不同，和/或，K层传输层码本的指示信息中传输的信息不同等，可能会使得接收端设备恢复出的矩阵C，与发送端设备执行转换步骤前的矩阵C有所差异。可以理解的，对于接收端设备来说，其并不知道恢复出的矩阵C与发送端设备执行转换步骤前的矩阵C是否有差异。
其中，发送端设备执行转换步骤时使用的算法，可以例如但不限于是以下至少一种：奇异值分解(singular value decomposition，SVD)算法、正交三角(QR)分解算法。
以发送端设备执行转换步骤时使用的算法是SVD算法为例。对矩阵C进行SVD，得到的矩阵可以表示如下：C＝USV H。其中，U和V H是酉矩阵，S是对角矩阵。U是RL*RL的矩阵，V H是N*N的矩阵。S是RL*N的矩阵。矩阵S的对角线上的值表示矩阵C的特征值。V H是矩阵V的共轭转置矩阵。该示例中，对于第一传输层，K层传输层的码本指示信息中可以包括：矩阵S的对角线上的t个特征值，矩阵U中的t个列，以及矩阵V H中的t个行(即矩阵V中的t个列)。其中，t是小于或等于矩阵C的秩的一个值。一般地，矩阵U中的t个列，可以例如但不限于是矩阵U中的前t个列；矩阵V中的t个列，可以例如但不限于是矩阵V中的t个列。
可以理解的，若t等于矩阵C的秩，则接收端设备可以无损地恢复出矩阵C，即接收端设备恢复出的矩阵C与发送端设备执行转换步骤前的矩阵C相同。另外，可以理解的，是否对矩阵C进行归一化，会影响到矩阵S中对角线上的元素的值的大小。
对于上述方式一来说，K层传输层的码本指示信息中携带的矩阵S中的元素(即矩阵C的特征值)的量化范围是0～Tmax，其中，Tmax通常是一个经验值。对于上述方式二来说，K层传输层的码本指示信息中携带的矩阵S中的元素(即矩阵C的特征值)的量化范围是0～1。方式二中，通过归一化使得矩阵S中的元素可以在有限范围内进行量化，这样，能够降低接收端设备恢复出的矩阵C与发送端设备执行转换步骤前的矩阵C之间的差异，从而提高最终得到的预编码向量的精确度。其中，发送端设备对矩阵C进行归一化，可以通过以下两种方式之一实现：1)、发送端设备对矩阵C中的各元素统一进行归一化，具体的：将矩阵C中的值最大的元素作为归一化基准对该矩阵C中的其他元素进行归一化。2)、发送端设备对矩阵C的每列中的各元素统一进行归一化，具体的：对于矩阵C中的每列元素，将该列元素中的值最大的元素作为归一化基准对该列元素中的其他元素进行归一化。
方式三：发送端设备从矩阵C中选择T列元素。其中，T小于矩阵C的列数。该情况下，对于第一传输层，K层传输层的码本指示信息中包括该T列元素。
方式四：发送端设备从矩阵C中选择T列元素，并对该T列元素进行归一化。其中，T小于矩阵C的列数。该情况下，对于第一传输层，K层传输层的码本指示信息中包括归一化后的该T列元素。
基于方式三、四，步骤203可以包括：根据T列元素，以及T列元素在矩阵C中的位 置信息，恢复出矩阵C，并根据矩阵C，确定第一传输层的预编码向量。应注意，对于上述方式四，步骤203中的T列元素具体是指归一化后的T列元素。由于对于接收端设备来说，其并不知道也不需要知道该T列元素是否是经归一化后的元素，因此，从接收端设备的角度来说，认为该T列元素即是矩阵C中的T列元素。
可以理解的，由于同一传输层的不同子带之间具有相关性，矩阵C中的每一列元素表示该传输层的一个子带的窄带叠加系数构成的向量，因此，接收端设备可以根据预估的T列元素对应的T个子带与其余的C-T个子带之间的相关性，通过插值(如线性插值)等方式恢复出矩阵C。
发送端设备从矩阵C或者矩阵C归一化后得到的矩阵中选择出T列元素时，所使用的规则(下文中称为选择规则)，本申请对此不进行限定。并且，该选择规则可以例如但不限于是静态配置的，如发送端设备和接收端设备依据协议配置的；或者是半静态配置的，如通过无线资源控制(radio resource control，RRC)信令或媒体接入控制(medium access control，MAC)信令等配置的；或者是动态配置的，如通过下行控制信息(downlink control information，DCI)来配置。可以理解的，无论是静态、半静态还是动态配置选择规则，均是为了使接收端设备知道该T列元素在矩阵C中的位置信息。换言之，可以理解为：该T列元素在矩阵C中的位置信息可以是预设的，也可以是通过信令配置的。
其中，选择规则，可以例如但不限于是以下其中一种：从矩阵C中选择出奇数列的规则，从矩阵C中选择出偶数列的规则，从矩阵C的某列开始每隔若干个列选择一列的规则，从矩阵C中选择出前T列的规则，从矩阵C中选择出后T列的规则，从矩阵C的某列开始连续选择出T列的规则，等等。
本申请对T列元素在矩阵C中的位置信息具体包括哪些信息不进行限定。例如，可以是选择规则，也可以是选择出的T列元素的列的编号等。
对于上述方式三来说，K层传输层的码本指示信息中携带的T列元素的量化范围是0～Tmax，其中，Tmax通常是一个经验值。对于上述方式四来说，K层传输层的码本指示信息中携带的T列元素的量化范围是0～1。方式四中，通过归一化使得T列元素可以在有限范围内进行量化，这样，能够降低接收端设备恢复出的矩阵C与发送端设备执行转换步骤前的矩阵C之间的差异，从而提高最终得到的预编码向量的精确度。其中，发送端设备对T列元素进行归一化，可以通过以下方式实现：发送端设备对选择出的T列元素的每列中的各元素统一进行归一化，具体的：对于该T列元素的每列元素，将该列元素中的值最大的元素作为归一化基准对该列元素中的其他元素进行归一化。
上文结合图1至图2，从方法实现的角度描述了本申请实施例提供的信道状态信息反馈方法和接收方法，应理解，以上各个实施例的方法中所示的步骤或操作仅仅作为示例，也可以执行其他操作或者各种操作的变形。并且，在具体实施时，各个步骤还可以按照与本申请实施例中所述的不同的顺序来执行，并且有可能并非执行本申请实施例所示出的全部操作或步骤。或者，也可能执行本申请各实施例所示出的更多的操作或步骤。还应理解，在本申请的各种实施例中，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，而不应对本申请实施例的实施过程构成任何限定。
在具体实现过程中，上述发送端设备可以是网络设备例如基站，也可以是终端。接收端设备可以是终端，也可以是网络设备例如基站。
以下，将描述本申请实施例提供的发送端设备和接收端设备。在具体实现中，本申请的发送端设备可以是终端，接收端设备可以是网络设备。
如图3所示，为本申请实施例提供的一种终端500，至少包括处理器504和收发器508。
处理器504，用于生成K层传输层的码本指示信息，K是大于等于1的整数；其中，对于K层传输层的至少一层传输层中的每层传输层，该该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数。
收发器508，用于发送处理器504生成的K层传输层的该码本指示信息。
具体实现过程中，对于K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N；在生成K层传输层的该码本指示信息之前，处理器504还用于：对矩阵C进行转换，得到至少两个子矩阵；或者，对矩阵C进行归一化，并对归一化后的矩阵进行转换，得到至少两个子矩阵；其中，该码本指示信息包括至少两个子矩阵中的元素。
具体实现过程中，执行转换步骤时使用的算法包括以下至少一种：SVD算法、QR分解算法等。
具体实现过程中，对于K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N；在生成K层传输层的该码本指示信息之前，处理器504还用于：从矩阵C中选择T列元素，其中，T小于矩阵C的列数；该码本指示信息包括T列元素；或者，从矩阵C中选择T列元素，并对T列元素进行归一化，其中，T小于矩阵C的列数；该码本指示信息包括归一化后的T列元素。
具体实现过程中，该码本指示信息还包括T列元素在矩阵C中的位置信息。
上述收发器508可以用于执行前面方法实施例中描述的终端向网络设备传输或者发送的动作，而处理器504可以用于执行前面方法实施例中描述的由终端内部实现的动作。具体请见前面方法实施例中的描述，此处不再赘述。
该终端还可以包括存储器519，其存储计算机执行指令；上述处理器504和存储器519可以集成为一个处理装置，处理器504用于执行存储器519中存储的程序代码来实现上述功能。具体实现时，该存储器519也可以集成在处理器504中。
上述终端还可以包括电源512，用于给终端中的各种器件或电路提供电源；上述终端可以包括天线510，用于将收发器508输出的上行数据或上行控制信令通过无线信号发送出去。
除此之外，为了使得终端的功能更加完善，该终端还可以包括输入单元514，显示单元516，音频电路518，摄像头520和传感器522等中的一个或多个，所述音频电路还可以包括扬声器5182，麦克风5184等。
如图4所示，为本申请实施例提供的一种网络设备600，至少包括处理器604和收发器608。
收发器608，用于接收K层传输层的码本指示信息，K是大于等于1的整数；其中， 对于K层传输层的至少一层传输层中的每层传输层，该码本指示信息包括：该层的N个子带的窄带叠加系数；N个子带的窄带叠加系数的个数小于R(L-1)*N；N是大于等于2的整数，R是极化方向个数，R是大于等于1的整数，L是K层传输层使用的波束信息的个数，L是大于等于2的整数。
处理器604，用于根据K层传输层相关联的波束信息，确定K层传输层各层的预编码向量。
网络设备在具体实现中，还可以包括存储器603，用于保存用于收发器608收到的该码本指示信息或者保存处理器604处理得到的预编码向量。
上述处理器604和存储器603可以合成一个处理装置，处理器604用于执行存储器603中存储的程序代码来实现上述功能。具体实现时，该存储器603也可以集成在处理器604中。
具体实现过程中，至少一层传输层包括第一传输层，表示第一传输层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N；该码本指示信息包括矩阵C转换后得到的至少两个子矩阵中的元素；处理器604具体用于：根据至少两个子矩阵中的元素，以及执行转换步骤时使用的算法，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。
具体实现过程中，至少一层传输层包括第一传输层，表示第一传输层的N个子带的窄带叠加系数构成矩阵C，矩阵C中的元素个数是RL*N；该码本指示信息包括矩阵C中的T列元素；T小于矩阵C的列数；处理器604具体用于：接收端设备根据T列元素，以及T列元素在矩阵C中的位置信息，恢复出矩阵C，并根据恢复出的矩阵C，确定第一传输层的预编码向量。
具体实现过程中，该码本指示信息还包括：T列元素在矩阵C中的位置信息。
上述网络设备还可以包括天线610，用于将收发器608输出的下行数据或下行控制信令通过无线信号发送出去。
需要说明的是：所述终端的处理器504和网络设备的处理器604可以是中央处理器(central processing unit，CPU)，网络处理器(network processor，NP)或者CPU和NP的组合。处理器还可以进一步包括硬件芯片。上述硬件芯片可以是专用集成电路(application-specific integrated circuit，ASIC)，可编程逻辑器件(programmable logic device，PLD)或其组合。上述PLD可以是复杂可编程逻辑器件(complex programmable logic device，CPLD)，现场可编程逻辑门阵列(field-programmable gate array，FPGA)，通用阵列逻辑(generic array logic，GAL)或其任意组合。
终端的存储器12和网络设备的存储器22可以包括易失性存储器(volatile
memory)，例如随机存取内存(random access memory，RAM)；还可以包括非易失性存储器(non-volatile memory)，例如快闪存储器(flash memory)，硬盘(hard disk drive，HDD)或固态硬盘(solid-state drive，SSD)；存储器还可以包括上述种类的存储器的组合。
本申请装置实施例的网络设备可对应于本申请方法实施例中的网络设备，终端可对应于本申请方法实施例的终端。并且，网络设备和终端的各个模块的上述和其它操作和/或功能分别为了实现上述方法实施例的相应流程，为了简洁，本申请方法实施例 的描述可以适用于该装置实施例，在此不再赘述。
本申请装置实施例的有益效果可参考上述对应的方法实施例中的有益效果，此处不再赘述。另外，本申请装置实施例中相关内容的描述也可以参考上述对应的方法实施例。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。

Claims (22)

  1. 一种信道状态信息反馈方法，其特征在于，所述方法包括：
    发送端设备生成K层传输层的码本指示信息，所述K是大于等于1的整数；其中，对于所述K层传输层的至少一层传输层中的每层传输层，所述码本指示信息包括：该层的N个子带的窄带叠加系数；所述N个子带的窄带叠加系数的个数小于R(L-1)*N；所述N是大于等于2的整数，所述R是极化方向个数，所述R是大于等于1的整数，所述L是所述K层传输层使用的波束信息的个数，所述L是大于等于2的整数；
    所述发送端设备发送所述码本指示信息。
  2. 根据权利要求1所述的信道状态信息反馈方法，其特征在于，对于所述K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是RL*N；在所述发送端设备生成K层传输层的码本指示信息之前，所述方法还包括：
    所述发送端设备对所述矩阵C进行转换，得到至少两个子矩阵；
    或者，所述发送端设备对所述矩阵C进行归一化，并对归一化后的矩阵进行转换，得到至少两个子矩阵；
    其中，所述码本指示信息包括所述至少两个子矩阵中的元素。
  3. 根据权利要求2所述的信道状态信息反馈方法，其特征在于，执行所述转换步骤时使用的算法包括以下至少一种：奇异值分解SVD算法、正交三角QR分解算法。
  4. 根据权利要求1所述的信道状态信息反馈方法，其特征在于，对于所述K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是N*RL；在所述发送端设备生成K层传输层的码本指示信息之前，所述方法还包括：
    所述发送端设备从所述矩阵C中选择T列元素，其中，所述T小于所述矩阵C的列数，所述码本指示信息包括所述T列元素；
    或者，所述发送端设备从所述矩阵C中选择T列元素，并对所述T列元素进行归一化，其中，所述T小于所述矩阵C的列数；所述码本指示信息包括归一化后的所述T列元素。
  5. 根据权利要求4所述的信道状态信息反馈方法，其特征在于，所述码本指示信息还包括所述T列元素在所述矩阵C中的位置信息。
  6. 一种信道状态信息接收方法，其特征在于，所述方法包括：
    接收端设备接收K层传输层的码本指示信息，所述K是大于等于1的整数；其中，对于所述K层传输层的至少一层传输层中的每层传输层，所述码本指示信息包括：该层的N个子带的窄带叠加系数；所述N个子带的窄带叠加系数的个数小于R(L-1)*N；所述N是大于等于2的整数，所述R是极化方向个数，所述R是大于等于1的整数，所述L是所述K层传输层使用的波束信息的个数，所述L是大于等于2的整数；
    所述接收端设备根据所述码本指示信息，确定所述K层传输层各层的预编码向量。
  7. 根据权利要求6所述的信道状态信息接收方法，其特征在于，所述至少一层传输层包括第一传输层，表示所述第一传输层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是RL*N；所述码本指示信息包括所述矩阵C转换后得到的 至少两个子矩阵中的元素；
    所述接收端设备根据所述码本指示信息，确定所述K层传输层各层的预编码向量，包括：
    所述接收端设备根据所述至少两个子矩阵中的元素，以及执行所述转换步骤时使用的算法，恢复出所述矩阵C，并根据恢复出的所述矩阵C，确定所述第一传输层的预编码向量。
  8. 根据权利要求6所述的信道状态信息接收方法，其特征在于，所述至少一层传输层包括第一传输层，表示所述第一传输层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是N*RL；所述码本指示信息包括所述矩阵C中的T列元素；所述T小于所述矩阵C的列数；
    所述接收端设备根据所述码本指示信息，确定所述K层传输层各层的预编码向量，包括：
    所述接收端设备根据所述T列元素，以及所述T列元素在所述矩阵C中的位置信息，恢复出所述矩阵C，并根据恢复出的所述矩阵C，确定所述第一传输层的预编码向量。
  9. 根据权利要求8所述的信道状态信息接收方法，其特征在于，所述码本指示信息还包括：所述T列元素在所述矩阵C中的位置信息。
  10. 一种发送端设备，其特征在于，所述发送端设备包括：
    处理器，用于生成K层传输层的码本指示信息，所述K是大于等于1的整数；其中，对于所述K层传输层的至少一层传输层中的每层传输层，所述码本指示信息包括：该层的N个子带的窄带叠加系数；所述N个子带的窄带叠加系数的个数小于R(L-1)*N；所述N是大于等于2的整数，所述R是极化方向个数，所述R是大于等于1的整数，所述L是所述K层传输层使用的波束信息的个数，所述L是大于等于2的整数；
    收发器，用于发送所述码本指示信息。
  11. 根据权利要求10所述的发送端设备，其特征在于，对于所述K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是RL*N；在生成K层传输层的码本指示信息之前，所述处理器还用于：
    对所述矩阵C进行转换，得到至少两个子矩阵；
    或者，对所述矩阵C进行归一化，并对归一化后的矩阵进行转换，得到至少两个子矩阵；
    其中，所述码本指示信息包括所述至少两个子矩阵中的元素。
  12. 根据权利要求11所述的发送端设备，其特征在于，执行所述转换步骤时使用的算法包括以下至少一种：奇异值分解SVD算法、正交三角QR分解算法。
  13. 根据权利要求10所述的发送端设备，其特征在于，对于所述K层传输层的至少一层传输层中的任一传输层，表示该层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是RL*N；在生成K层传输层的码本指示信息之前，所述处理器还用于：
    从所述矩阵C中选择T列元素，其中，所述T小于所述矩阵C的列数，所述码本 指示信息包括所述T列元素；
    或者，从所述矩阵C中选择T列元素，并对所述T列元素进行归一化，其中，所述T小于所述矩阵C的列数；所述码本指示信息包括归一化后的所述T列元素。
  14. 根据权利要求13所述的发送端设备，其特征在于，所述码本指示信息还包括所述T列元素在所述矩阵C中的位置信息。
  15. 一种接收端设备，其特征在于，所述接收端设备包括：
    收发器，用于接收K层传输层的码本指示信息，所述K是大于等于1的整数；其中，对于所述K层传输层的至少一层传输层中的每层传输层，所述码本指示信息包括：该层的N个子带的窄带叠加系数；所述N个子带的窄带叠加系数的个数小于R(L-1)*N；所述N是大于等于2的整数，所述R是极化方向个数，所述R是大于等于1的整数，所述L是所述K层传输层使用的波束信息的个数，所述L是大于等于2的整数；
    处理器，用于根据所述码本指示信息，确定所述K层传输层各层的预编码向量。
  16. 根据权利要求15所述的接收端设备，其特征在于，所述至少一层传输层包括第一传输层，表示所述第一传输层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是RL*N；所述码本指示信息包括所述矩阵C转换后得到的至少两个子矩阵中的元素；
    所述处理器具体用于：根据所述至少两个子矩阵中的元素，以及执行所述转换步骤时使用的算法，恢复出所述矩阵C，并根据恢复出的所述矩阵C，确定所述第一传输层的预编码向量。
  17. 根据权利要求15所述的接收端设备，其特征在于，所述至少一层传输层包括第一传输层，表示所述第一传输层的N个子带的窄带叠加系数构成矩阵C，所述矩阵C中的元素个数是RL*N；所述码本指示信息包括所述矩阵C中的T列元素；所述T小于所述矩阵C的列数；
    所述处理器具体用于：所述接收端设备根据所述T列元素，以及所述T列元素在所述矩阵C中的位置信息，恢复出所述矩阵C，并根据恢复出的所述矩阵C，确定所述第一传输层的预编码向量。
  18. 根据权利要求17所述的接收端设备，其特征在于，所述码本指示信息还包括：所述T列元素在所述矩阵C中的位置信息。
  19. 一种计算机存储介质，其特征在于，包含用于执行权利要求1至5任一项所述的信道状态信息反馈方法所设计的程序。
  20. 一种计算机存储介质，其特征在于，包含用于执行权利要求6至9任一项所述的信道状态信息接收方法所设计的程序。
  21. 一种处理器，其特征在于，包括：
    至少一个电路，用于生成K层传输层的码本指示信息，所述K是大于等于1的整数；其中，对于所述K层传输层的至少一层传输层中的每层传输层，所述码本指示信息包括：该层的N个子带的窄带叠加系数；所述N个子带的窄带叠加系数的个数小于R(L-1)*N；所述N是大于等于2的整数，所述R是极化方向个数，所述R是大于等于1的整数，所述L是所述K层传输层使用的波束信息的个数，所述L是大于等于2的整数；
    至少一个电路，用于发送所述码本指示信息。
  22. 一种处理器，其特征在于，包括：
    至少一个电路，用于接收K层传输层的码本指示信息，所述K是大于等于1的整数；其中，对于所述K层传输层的至少一层传输层中的每层传输层，所述码本指示信息包括：该层的N个子带的窄带叠加系数；所述N个子带的窄带叠加系数的个数小于R(L-1)*N；所述N是大于等于2的整数，所述R是极化方向个数，所述R是大于等于1的整数，所述L是所述K层传输层使用的波束信息的个数，所述L是大于等于2的整数；
    至少一个电路，用于根据所述码本指示信息，确定所述K层传输层各层的预编码向量。
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