WO2023078176A1 - 信息传输方法、设备和存储介质 - Google Patents

信息传输方法、设备和存储介质 Download PDF

Info

Publication number
WO2023078176A1
WO2023078176A1 PCT/CN2022/128287 CN2022128287W WO2023078176A1 WO 2023078176 A1 WO2023078176 A1 WO 2023078176A1 CN 2022128287 W CN2022128287 W CN 2022128287W WO 2023078176 A1 WO2023078176 A1 WO 2023078176A1
Authority
WO
WIPO (PCT)
Prior art keywords
indicator
vectors
dimension
index number
coefficient
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2022/128287
Other languages
English (en)
French (fr)
Inventor
李永
吴昊
鲁照华
王瑜新
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ZTE Corp
Original Assignee
ZTE Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ZTE Corp filed Critical ZTE Corp
Priority to CA3236517A priority Critical patent/CA3236517A1/en
Priority to EP22889201.4A priority patent/EP4395218A4/en
Priority to JP2024526662A priority patent/JP7828447B2/ja
Priority to US18/694,165 priority patent/US20240291541A1/en
Publication of WO2023078176A1 publication Critical patent/WO2023078176A1/zh
Anticipated expiration legal-status Critical
Priority to ZA2024/04338A priority patent/ZA202404338B/en
Ceased legal-status Critical Current

Links

Images

Classifications

    • 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
    • H04B7/0478—Special codebook structures directed to feedback optimisation
    • H04B7/048—Special codebook structures directed to feedback optimisation using three or more PMIs
    • 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
    • H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
    • 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
    • H04B7/0634—Antenna weights or vector/matrix coefficients
    • 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
    • H04B7/0639—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
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0053—Allocation of signalling, i.e. of overhead other than pilot signals
    • H04L5/0057—Physical resource allocation for CQI
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • the present application relates to the communication field, for example, to an information transmission method, device and storage medium.
  • the base station can determine a data transmission strategy according to the channel state represented by the received channel state information, and perform data transmission according to the data transmission strategy, so as to improve data transmission efficiency. Therefore, how to design the processing mechanism of the channel state information to improve the accuracy of obtaining the channel state, reduce the resource overhead used, and reduce the complexity of the system is still an urgent problem to be solved.
  • An embodiment of the present application provides an information transmission method applied to a first communication node, including:
  • the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indicator;
  • the precoding matrix corresponding to the precoding matrix indicator is formed by combining the first group of vectors with the first coefficients, or the precoding matrix corresponding to the precoding matrix indicator is formed by combining the first group of vectors and the second group of vectors with the first coefficients.
  • An encoding matrix; the strongest coefficient indicator is used to indicate the index number of the strongest coefficient among the first coefficients.
  • An embodiment of the present application provides an information transmission method applied to a second communication node, including:
  • the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indicator; the first coefficient is combined with the first group of vectors to form the precoding matrix indicator corresponding to A coding matrix, or a precoding matrix corresponding to the precoding matrix indicator is formed by combining the first group of vectors and the second group of vectors with the first coefficients; the strongest coefficient indicator is used to indicate the strongest coefficient among the first coefficients The index number of the strong coefficient.
  • An embodiment of the present application provides a communication device, including: a communication module, a memory, and one or more processors;
  • the communication module is configured to perform communication interaction between the first communication node and the second communication node;
  • the memory configured to store one or more programs
  • the one or more processors are made to implement the method described in any of the foregoing embodiments.
  • An embodiment of the present application provides a storage medium, the storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the foregoing embodiments is implemented.
  • FIG. 1 is a flowchart of an information transmission method provided in an embodiment of the present application
  • Fig. 2 is a flow chart of another information transmission method provided by the embodiment of the present application.
  • FIG. 3 is a structural block diagram of an information transmission device provided in an embodiment of the present application.
  • FIG. 4 is a structural block diagram of another information transmission device provided by an embodiment of the present application.
  • Fig. 5 is a schematic structural diagram of a communication device provided by an embodiment of the present application.
  • Wireless communication has developed to the 5th generation of communication technology.
  • LTE Long Term Evolution
  • NR New Radio
  • OFDM Orthogonal Frequency Division Multiplexing
  • the smallest frequency domain unit is a subcarrier, and the smallest time domain unit is an OFDM symbol
  • a resource block (Resource Block, RB) is defined, a resource block definition It is a specific number of continuous subcarriers
  • a bandwidth block (BandWidth Part, BWP) is defined, and a bandwidth block is defined as another specific number of continuous resource blocks on a carrier
  • a time slot (slot) is defined ), a time slot is defined as yet another specific number of consecutive OFDM symbols.
  • the method for obtaining channel state information in a wireless communication system and the method for using the channel state information for data transmission include the following steps: the base station sends a reference signal; the terminal measures the reference signal, determines the channel state information from the base station to the terminal, and reports the channel state information to The base station; the base station receives the channel state information reported by the terminal.
  • the base station determines a strategy for data transmission according to the channel state represented by the received channel state information, and transmits data, thereby improving the efficiency of data transmission.
  • the accuracy of the channel state represented by the channel state information affects the transmission strategy of the base station, thereby affecting the efficiency of data transmission.
  • the base station needs to occupy the overhead of downlink resources for transmitting reference signals, and the terminal needs to occupy the overhead of uplink resources for uploading channel state information.
  • the increase in system complexity will increase the cost of the system and increase energy consumption. Therefore, it is necessary to consider many factors comprehensively in the design.
  • the development of wireless communication technology needs to further design a mechanism for processing channel state information, so as to improve the accuracy of the obtained channel state, reduce the resource overhead used, and reduce the complexity of the system.
  • the reference signal sent by the base station to the terminal is the downlink reference signal;
  • the downlink reference signal used for channel state information reporting in the LTE system includes cell-specific reference signal (Cell-specific Reference Signal, CRS), channel state information reference signal (Channel-State Information Reference Signal, CSI-RS);
  • the downlink reference signal used for channel state information reporting in the NR system includes CSI-RS.
  • CSI-RS is carried by channel state information reference signal resource (CSI-RS Resource), which is composed of code division multiplexing group (CDM group), and a CDM group is composed of radio resource elements , the CSI-RSs of a group of CSI-RS ports are multiplexed thereon by way of code division multiplexing.
  • the content of the channel state information transmitted between the base station and the terminal includes: a channel quality indicator (Channel quality indicator, CQI), used to indicate the quality of the channel; or, including a precoding matrix indicator (Precoding Matrix Indicator, PMI), used to to indicate the precoding matrix applied to the base station antenna.
  • CQI Channel quality indicator
  • PMI Precoding Matrix Indicator
  • the reporting format of one type of CQI is wideband CQI reporting (wideband CQI reporting), that is, a channel quality is reported for the channel state information reporting band (CSI reporting band), and the channel quality corresponds to the entire channel state information reporting band; the other type of CQI
  • the report format of CQI is subband CQI reporting (subband CQI reporting), that is, the channel quality is given in units of subbands for the channel state information reporting band (CSI reporting band), and one channel quality corresponds to one subband, which is the channel state
  • Each subband of the information reporting frequency band reports a channel quality.
  • the subband is a frequency domain unit, defined as N consecutive RBs, where N is a positive integer; for ease of description, this application is called a channel quality indicator subband, or a CQI subband, or a subband; where N is called The size (size) of the CQI subband is also called the CQI subband size or the subband size (size).
  • the bandwidth block (BWP, Bandwidth part) is divided into subbands, and the channel state information reporting band (CSI reporting band) is defined by a subset of the subbands of the bandwidth block (BWP, Bandwidth part).
  • a channel state information reporting band (CSI reporting band) is a frequency band on which channel state information needs to be reported.
  • One way to determine the channel quality is to determine according to the strength of the reference signal received by the terminal; another way to determine the channel quality is to determine according to the signal-to-noise ratio of the received reference signal.
  • reporting CQI in the way of wideband CQI report can reduce the resource overhead for CQI reporting; Reporting CQI can increase the accuracy of CQI reporting.
  • the reporting format of one type of PMI is a broadband PMI report, that is, one PMI is reported for a channel state information reporting frequency band, and the PMI corresponds to the entire channel state information reporting frequency band.
  • Another type of PMI report format is sub-band PMI report, that is, one PMI is reported for each sub-band of the channel state information reporting frequency band, or a component part of a PMI is reported for each sub-band of the channel state information reporting frequency band.
  • PMI is composed of X1 and X2.
  • One way to report a PMI component for each subband of the channel state information reporting frequency band is: report one X1 for the entire frequency band, and report one X2 for each subband; another way For: report one X1 and one X2 for each subband.
  • the reporting format of another type of PMI is that the reported PMI indicates R precoding matrices for each subband, where R is a positive integer.
  • R represents the number of precoding matrix subbands included in each subband, or the number of precoding matrix subbands included in each CQI subband.
  • a method for reporting channel state information A terminal receives configuration information (including first configuration information and second configuration information) of a base station. The terminal receives a channel state information reference signal transmitted by the base station according to the configuration information. The terminal receives the configuration information according to the configuration information. Report channel status information;
  • the channel state information includes a precoding matrix indicator, and the precoding matrix is determined by the first group of vectors, or determined by the first group of vectors and the second group of vectors; the first group of vectors includes L vectors, and the second group of vectors Contains M v vectors, wherein L, M v are positive integers; wherein, a vector in the first group of vectors corresponds to a port of the channel state information reference signal; a vector in the second group of vectors is an index number of The DFT vector of ; where, the index number is The elements of the DFT vector are:
  • N 3 is the number of precoding matrices.
  • t is the index number of the element in the DFT vector, and the value is 0,1,...,N 3 -1.
  • t may also represent the index number of the precoding matrix.
  • t may also represent an index number of a frequency domain unit, and a value of t corresponds to a frequency domain unit.
  • the precoding matrix with the index t corresponding to the element with the index t of the DFT vector in the second group of vectors is the precoding matrix of the frequency domain unit with the index t.
  • W W 1 W 2 W f , where W represents precoding, W 1 represents the matrix composed of the first set of vectors, and W f represents The matrix formed by the second group of vectors, W 2 represents the coefficients of combining the first group of vectors and the second group of vectors to form a precoding matrix, expressed in a matrix.
  • the terminal reports the number K NZ of the reported coefficients to the base station.
  • a port with sequence number mi is mapped to a map
  • the way is, is a vector containing P/2 elements, where the (m i mod P/2)th element is 1, and the remaining elements are 0; among them, mod represents the modulo operation, m i represents the dividend, and P/2 represents the divisor; the first element is the 0th element.
  • v 2 [0,0,1,0] T ; where T represents transposition.
  • O represents a vector containing P/2 elements, and all elements are 0.
  • W f composed of M v vectors from the second set of vectors
  • W W 1 W 2 , where W represents the precoding matrix; W 1 represents the matrix composed of the first set of vectors, dimension is P ⁇ 2L, that is, the first dimension is P, and the second dimension is 2L; W 2 represents the coefficients of combining the first group of vectors to form the precoding matrix, expressed in a matrix, and the dimension is 2L ⁇ 1, that is, the first dimension is 2L, The second dimension is 1; that is, the number of elements contained in W 2 is 2L, that is, the number of coefficients constituting one layer of the precoding matrix is 2L.
  • the precoding matrix consists of the first group of vectors and the second group of vectors
  • W represents the precoding matrix
  • W 1 represents the The matrix composed of vectors has a dimension of P ⁇ 2L, that is, the first dimension is P, and the second dimension is 2L
  • W f represents the matrix composed of the second group of vectors, and the dimension is M v ⁇ N 3 , that is, the first dimension is M v , the second dimension is N 3
  • W 2 represents the coefficients of combining the first group of vectors and the second group of vectors to form the precoding matrix, expressed in a matrix, and the dimension is 2L ⁇ M v , that is, the first dimension is 2L, and the second dimension is M v ; that is, the number of elements contained in W 2 is 2LM v , that is, the number of coefficients constituting one layer of the precoding matrix is 2LM v .
  • the terminal In order to save the overhead of the terminal reporting the precoding matrix indicator, the terminal only reports a part of the coefficients that make up the precoding matrix; for example, the base station configures the parameter ⁇ to the terminal to determine the parameter K 0 , Wherein ⁇ is a positive number less than or equal to 1; for the coefficients of one layer of the precoding matrix, the number of coefficients reported by the terminal to the base station does not exceed K 0 ; for the coefficients of all layers of the precoding matrix, the number of coefficients reported by the terminal to the base station The number of coefficients does not exceed 2K 0 in total.
  • the terminal In order for the base station to receive the reported coefficients, the terminal also reports the number K NZ of the reported coefficients to the base station, and reports a bitmap (bitmap), indicating which coefficients among the coefficients constituting the precoding matrix are reported with the non-zero bits of the bitmap .
  • K NZ indicates that the number of coefficients with non-zero values reported by the terminal to the base station is K.
  • FIG. 1 is a flowchart of an information transmission method provided in an embodiment of the present application. This embodiment may be executed by the first communication node. Wherein, the first communication node may be a terminal side (for example, user equipment). As shown in Fig. 1, this embodiment includes: S110-S120.
  • the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indicator;
  • a precoding matrix corresponding to the precoding matrix indicator is formed by combining the first group of vectors with the first coefficients, or a precoding matrix corresponding to the precoding matrix indicator is formed by combining the first group of vectors and the second group of vectors with the first coefficients;
  • the strong coefficient indicator is used to indicate the index number of the strongest coefficient among the first coefficients.
  • the strongest coefficient indicator refers to the indicator of the strongest coefficient among the first coefficients.
  • the first coefficient is a coefficient for combining the first group of vectors to form a precoding matrix, or the first coefficient is a coefficient for combining the first group of vectors and the second group of vectors to form a precoding matrix.
  • the strongest coefficient refers to the coefficient with the largest magnitude among the first coefficients. Exemplarily, the maximum value of the magnitude is 1, and the strongest coefficient is the coefficient with the magnitude of 1 among the first coefficients. Of course, in the case that there is no coefficient with an amplitude of 1 among the first coefficients, the coefficient with the largest amplitude among the first coefficients is searched for as the strongest coefficient.
  • the strongest coefficient indicator is used to indicate the index number of the strongest coefficient among the first coefficients. In the embodiment, if the index number of the strongest coefficient in the first coefficient is indicated by the strongest coefficient indicator, the coefficient of the index number can be directly reported to the second communication node, and the first communication node does not need to report all the coefficients to the The second communication node enables the second communication node to analyze and determine the strongest coefficient, thereby saving resource overhead for reporting coefficients.
  • the index number of the strongest coefficient in the first coefficient is indicated by the strongest coefficient indicator, and the strongest coefficient adopts a predefined value, so as to save the direct reporting of the magnitude value and phase value of the strongest coefficient, thereby saving reporting
  • the resource overhead of the magnitude value and phase value of the strongest coefficient, and the accuracy of the value adopted by the strongest coefficient is improved because the strongest coefficient adopts a predefined value, thereby improving the accuracy of the reported precoding matrix, thereby improving the reported The performance of the precoding matrix.
  • the strongest coefficient is predefined as 1, that is, the amplitude value of the strongest coefficient is predefined as 1, the phase value of the strongest coefficient is predefined as 0, and the strongest coefficient indicator indicates that the strongest coefficient
  • the strongest coefficient indicator indicates that the strongest coefficient
  • the index number of the strongest coefficient includes: the index number of the first dimension and the index number of the second dimension;
  • the index number of the first dimension corresponds to the first group of vectors; the index number of the second dimension corresponds to the second group of vectors.
  • the precoding matrix is a matrix composed of two dimensions, and correspondingly, the first coefficient used to form the precoding matrix also includes two dimensions, that is, the first dimension and the second dimension.
  • the index number of the first coefficient consists of two dimensions, that is, the index number of the strongest coefficient also includes two dimensions, that is, the index number of the first dimension and the index number of the second dimension.
  • the index number of the first dimension corresponds to the first group of vectors
  • the index number of the second dimension corresponds to the second group of vectors.
  • one vector in the first group of vectors corresponds to one port of the channel state information reference signal
  • one element in one vector of the second group of vectors corresponds to one precoding matrix.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is determined according to the number of vectors in the second group of vectors.
  • the number of vectors of the second set of vectors refers to the total number of vectors in the second set of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the first dimension and the vector number of the second set of vectors.
  • the strongest coefficient indicator every time the index number of the first dimension changes by 1, the strongest coefficient indicator correspondingly changes the value of the vector quantity of the second group of vectors; correspondingly, every time the index number of the first dimension changes by n, the strongest coefficient The value of the indicator is correspondingly changed by n times the value of the vector number of the second group of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and twice the number of vectors in the first set of vectors.
  • the number of vectors of the first set of vectors refers to the total number of vectors in the first set of vectors.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator Same as the index number of the first dimension, the index number of the second dimension is 0.
  • the strongest coefficient indicator is the same as the index number of the first dimension, and the index number of the second dimension is 0.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the first dimension and the number of vectors of the second group of vectors, and the index number of the second dimension.
  • the value of the strongest coefficient indicator is equal to the product value of the index number of the first dimension and the vector vector of the second group of vectors, and the value of the index number of the second dimension sum of values.
  • the value range of the index number of the first dimension is between 0 and 2 times the number of vectors of the first group of vectors minus one; the value of the index number of the second dimension includes: 0, 1.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the second dimension and the vector data of the first group of vectors, and the index number of the first dimension.
  • the adjustment value of the strongest coefficient indicator is the same as the adjustment value of the index number of the second dimension. In the embodiment, every time the index number of the second dimension is adjusted by 1, the value of the strongest coefficient indicator is correspondingly adjusted by 1; of course, every time the index number of the second dimension is adjusted by n, the value of the strongest coefficient indicator is correspondingly adjusted adjust n. Wherein, n is a positive integer greater than 0.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and the vector number of the first set of vectors.
  • the value of the strongest coefficient indicator is correspondingly adjusted by the product value of the index number of the second dimension and the number of vectors in the first group of vectors.
  • the value of the strongest coefficient indicator is correspondingly adjusted by the value of the index number of the second dimension and the product value of the number of vectors in the first group of vectors and n.
  • n is 0 or 1.
  • FIG. 2 is a flowchart of another information transmission method provided by the embodiment of the present application. This embodiment may be executed by the second communication node. Wherein, the second communication node may be a base station. As shown in Fig. 2, this embodiment includes: S210-S220.
  • S220 Send configuration information to the first communication node, so that the first communication node reports channel state information according to the configuration information.
  • the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indicator; the first coefficient is combined with the first group of vectors to form a precoding matrix corresponding to the precoding matrix indicator, or, by The first coefficient combines the first group of vectors and the second group of vectors to form a precoding matrix corresponding to the precoding matrix indicator; the strongest coefficient indicator is used to indicate the index number of the strongest coefficient in the first coefficient.
  • the index number of the strongest coefficient includes: the index number of the first dimension and the index number of the second dimension;
  • the index number of the first dimension corresponds to the first group of vectors
  • the index number of the second dimension corresponds to the second group of vectors
  • mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is determined according to the number of vectors in the second group of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the first dimension and the vector number of the second set of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and twice the number of vectors in the first set of vectors.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator Same as the index number of the first dimension, the index number of the second dimension is 0.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the first dimension and the number of vectors of the second group of vectors, and the index number of the second dimension.
  • the value range of the index number of the first dimension is between 0 and 2 times the number of vectors of the first group of vectors minus one; the value of the index number of the second dimension includes: 0, 1.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the second dimension and the vector data of the first group of vectors, and the index number of the first dimension.
  • the adjustment value of the strongest coefficient indicator is the same as the adjustment value of the index number of the second dimension.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and the vector number of the first set of vectors.
  • a process of reporting channel state information is described by taking the first communication node as a terminal and the second communication node as a base station as an example.
  • the step of reporting the channel state information includes: the terminal receives configuration information of the base station, and the terminal reports the channel state information according to the configuration information;
  • the channel state information includes a precoding matrix indicator, and the precoding matrix corresponding to the precoding matrix indicator is determined by the first group of vectors, or determined by the first group of vectors and the second group of vectors; the first group of vectors includes L Vector, the second group of vectors includes M v vectors, wherein L, M v are positive integers; wherein, a vector in the first group of vectors corresponds to a port of the channel state information reference signal; a vector in the second group of vectors An element in corresponds to a precoding matrix.
  • the configuration information includes the value of L, or the configuration information includes the value of L and the value of Mv .
  • the configuration information includes version information of the codebook of the precoding matrix.
  • the configuration information indicates a reference signal for measuring channel state information for reporting channel state information.
  • the precoding matrix indicator includes: a first coefficient indicator, and the first coefficient indicator is used to indicate the first coefficient; wherein, the first coefficient is the coefficient of combining the first group of vectors to form the precoding matrix, or the first coefficient is the combination of the first group of vectors to form the precoding matrix.
  • One group of vectors and the second group of vectors constitute the coefficients of the precoding matrix.
  • Coefficients in the first coefficients are identified with index numbers of the first coefficients.
  • the index number of the first coefficient includes the index number i of the first dimension and the index number f of the second dimension.
  • the index number i of the first dimension corresponds to the first group of vectors
  • the index number f of the second dimension corresponds to the second group of vectors .
  • the first coefficient indicator d i,f whose index number is (i,f) of the first coefficient is mapped to the first coefficient u i ,f whose index number is (i,f); the first coefficient The indicator d i, f is the indicator whose index number is (i, f) in the first coefficient indicator, and the first coefficient u i, f is the coefficient whose index number is (i, f) among the first coefficients; wherein, The index number i of the first dimension corresponds to the first group of vectors, and the index number f of the second dimension corresponds to the second group of vectors. That is, the first coefficient index number is the index number of the coefficient in the first coefficient in the first coefficient.
  • the first coefficient includes a first coefficient magnitude and a first coefficient phase
  • the first coefficient indicator also includes a first coefficient magnitude indicator and a first coefficient phase indicator.
  • the magnitude indicator k i, f of the first coefficient with index number (i,f) of the first coefficient is mapped to the magnitude p i,f of the first coefficient with index number (i,f) of the first coefficient ;
  • the amplitude indicator d i,f of the first coefficient is the indicator whose index number is (i,f) in the amplitude indicator of the first coefficient, and the amplitude p i,f of the first coefficient is the index in the amplitude indicator of the first coefficient
  • the number is the magnitude of (i, f); wherein, the index number i of the first dimension corresponds to the first group of vectors, and the index number f of the second dimension corresponds to the second group of vectors.
  • phase indicator c i,f of the first coefficient whose index number is (i,f) is mapped to the phase ⁇ i,f of the first coefficient whose index number is (i,f) ;
  • the phase indicator c i, f of the first coefficient is the indicator whose index number is (i, f) in the phase indicator of the first coefficient, and the phase ⁇ i, f of the first coefficient is the index in the phase of the first coefficient
  • the phase number is (i, f); wherein, the index number i of the first dimension corresponds to the first group of vectors, and the index number f of the second dimension corresponds to the second group of vectors.
  • the strongest coefficient among the first coefficients is called the strongest coefficient.
  • the precoding indicator includes the strongest coefficient indicator, the strongest coefficient indicator is used to indicate the strongest coefficient, and the strongest coefficient indicator is used to indicate the index number of the strongest coefficient in the first coefficient; Index number of a coefficient.
  • the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient, where i' is the index number of the first dimension, and f' is the index number of the second dimension.
  • the amplitude indicator ki ', f' of the strongest coefficient need not be reported, and the amplitude value p i', f' mapped by the amplitude indicator ki' , f' of the strongest coefficient is 1; the phase indication of the strongest coefficient
  • the phase indicators ci ', f' of the strongest coefficient are not reported, and the phase indicators ci ', f' of the strongest coefficient are 0.
  • the precoding indicator includes the strongest coefficient indicator s, and the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient; wherein, the first dimension The index number i' corresponds to the first group of vectors, and the index number f' of the second dimension corresponds to the second group of vectors; wherein, the first coefficient is the coefficient of combining the first group of vectors to form the precoding matrix, or the first coefficient is the combination The first group of vectors and the second group of vectors constitute coefficients of the precoding matrix.
  • the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient, where the strongest coefficient indicator s is the same as the index number i',
  • the mapping relationship of the index number f' of the second dimension is determined according to the value of Mv .
  • the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient, where the strongest coefficient indicator s is connected with the index number i' of the first dimension and the index number of the second dimension
  • the mapping relationship of f' is indicated.
  • the mapping relationship between the strongest coefficient indicator s and the index number i' of the first dimension and the index number f' of the second dimension is determined according to the value of Mv .
  • the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient, and every time the index number i' of the first dimension changes by 1, the selection of the strongest coefficient indicator s The value changes M v .
  • the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient, and every time the index number f' of the second dimension changes by 1, the strongest coefficient indicator s The value is changed by 2L, where the value of f' is an integer ranging from 0 to M v -1.
  • s 2Lf'+i'; where i' ⁇ 0,1,...,2L-1 ⁇ , f' ⁇ 0,1,...,M v -1 ⁇ .
  • the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient, wherein, the strongest coefficient indicator s and the index number i' of the first dimension 1.
  • the strongest coefficient indicator s changes by 1.
  • s i' ⁇ M v +f', wherein, i' ⁇ 0,1,...,2L-1 ⁇ , f' ⁇ 0,1,...,M v -1 ⁇ .
  • the strongest coefficient indicator s indicates the index number (i', f') of the strongest coefficient in the first coefficient, and every time the index number f' of the second dimension changes by 1, the strongest coefficient indicator s Change the value of L, where the value of f' is an integer ranging from 0 to M v -1.
  • the channel state information further includes: a first number indicator; wherein, the first number indicator is used to indicate the number K of coefficients to be reported among the first coefficients, and a field composed of A bits is used to report the first A number indicator, K is the value of the first number indicator plus 1; wherein, the value of the first number indicator is the value of a field composed of A bits.
  • the channel state information further includes: a first number indicator; wherein, the first number indicator is used to indicate the number K of coefficients with non-zero values in the first coefficient, and is reported in a field composed of A bits
  • the first number indicator, K is the value of the first number indicator plus 1; wherein, the value of the first number indicator is a value of a field composed of A bits.
  • the terminal in order to save the overhead of the terminal reporting the precoding matrix indicator, the terminal only reports a part of the coefficients that make up the precoding matrix; for example, the base station configures the parameter ⁇ to the terminal to determine the parameter K 0 , Wherein ⁇ is a positive number less than or equal to 1; for the coefficients of one layer of the precoding matrix, the number of coefficients reported by the terminal to the base station does not exceed K 0 ; for the coefficients of all layers of the precoding matrix, the number of coefficients reported by the terminal to the base station The number of coefficients does not exceed 2K 0 in total.
  • the terminal In order for the base station to receive the reported coefficients, the terminal also reports the number K NZ of the reported coefficients to the base station, and reports a bitmap (bitmap), indicating which coefficients among the coefficients constituting the precoding matrix are reported with the non-zero bits of the bitmap .
  • K NZ indicates that the number of coefficients with non-zero values reported by the terminal to the base station is K.
  • the maximum possible value B of the number of coefficients to be reported in the first coefficient is K 0 ; for the case where the precoding matrix is multi-layered, the coefficients to be reported in the first coefficient
  • the maximum possible value of the number of B is 2K 0 .
  • the terminal indicates the number of coefficients to be reported in the first coefficient in the channel state information with the first number indicator; and reports the first number indicator with a field composed of A bits, and K is the value of the first number indicator plus 1; Wherein, the value of the first number indicator is the value of a field composed of A bits.
  • the terminal uses the first number indicator to indicate the number K of coefficients with non-zero values in the first coefficient in the channel state information, and reports the first number indicator in a field composed of A bits, where K is the value of the first number indicator The value is increased by 1; wherein, the value of the first number indicator is the value of a field composed of A bits.
  • A is a non-negative integer.
  • A is the rounded value of the base 2 logarithm of B.
  • Indicating K through the first number indicator in the manner described above can save 1 bit of resource overhead.
  • the number B is 16, and B is the value of the field composed of A bits, then A needs to be greater than 4, that is, it needs to be greater than 4 bits to report B; if the number B is 16, B is the field composed of A bits If the value of the field is increased by 1, then A only needs to be equal to 4, that is, only 4 bits are required to report B; thereby saving the resource overhead of one bit of a report number B.
  • FIG. 3 is a structural block diagram of an information transmission device provided in an embodiment of the present application. This embodiment is applied to the first communication node. As shown in FIG. 3 , the information reporting device in this embodiment includes: a receiving module 310 and a reporting module 320 .
  • the receiving module 310 is configured to receive configuration information of the second communication node
  • the reporting module 320 is configured to report the channel state information to the second communication node according to the configuration information.
  • the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indicator;
  • a precoding matrix corresponding to the precoding matrix indicator is formed by combining the first group of vectors with the first coefficients, or a precoding matrix corresponding to the precoding matrix indicator is formed by combining the first group of vectors and the second group of vectors with the first coefficients;
  • the strong coefficient indicator is used to indicate the index number of the strongest coefficient among the first coefficients.
  • the index number of the strongest coefficient includes: the index number of the first dimension and the index number of the second dimension;
  • the index number of the first dimension corresponds to the first group of vectors
  • the index number of the second dimension corresponds to the second group of vectors
  • mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is determined according to the number of vectors in the second group of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the first dimension and the vector number of the second set of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and twice the number of vectors in the first set of vectors.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator Same as the index number of the first dimension, the index number of the second dimension is 0.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the first dimension and the number of vectors of the second group of vectors, and the index number of the second dimension.
  • the value range of the index number of the first dimension is between 0 and 2 times the number of vectors of the first group of vectors minus one; the value of the index number of the second dimension includes: 0, 1.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the second dimension and the vector data of the first group of vectors, and the index number of the first dimension.
  • the adjustment value of the strongest coefficient indicator is the same as the adjustment value of the index number of the second dimension.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and the vector number of the first set of vectors.
  • the channel state information further includes: a first number indicator; wherein, the first number indicator is used to indicate the number K of coefficients to be reported among the first coefficients, and is composed of A bits
  • the field reports the first number indicator, and K is the value of the first number indicator plus 1; wherein, the value of the first number indicator is the value of a field composed of A bits, and A is a non-negative integer.
  • the channel state information further includes: a first number indicator; wherein, the first number indicator is used to indicate the number K of coefficients with non-zero values in the first coefficient, and is composed of A bits
  • the field reports the first number indicator, and K is the value of the first number indicator plus 1; wherein, the value of the first number indicator is the value of a field composed of A bits, and A is a non-negative integer.
  • the information transmission device provided in this embodiment is set to implement the information transmission method applied to the first communication node in the embodiment shown in Figure 1.
  • the implementation principle and technical effect of the information transmission device provided in this embodiment are similar, and will not be repeated here.
  • FIG. 4 is a structural block diagram of another information transmission device provided in an embodiment of the present application. This embodiment is applied to the second communication node. As shown in FIG. 4 , the information reporting device in this embodiment includes: a determining module 410 and a sending module 420 .
  • the determining module 410 is configured to determine configuration information
  • the sending module 420 is configured to send configuration information to the first communication node, so that the first communication node reports channel state information according to the configuration information;
  • the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indicator; the first coefficient is combined with the first group of vectors to form a precoding matrix corresponding to the precoding matrix indicator, or, by The first coefficient combines the first group of vectors and the second group of vectors to form a precoding matrix corresponding to the precoding matrix indicator; the strongest coefficient indicator is used to indicate the index number of the strongest coefficient in the first coefficient.
  • the index number of the strongest coefficient includes: the index number of the first dimension and the index number of the second dimension;
  • the index number of the first dimension corresponds to the first group of vectors
  • the index number of the second dimension corresponds to the second group of vectors
  • mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is determined according to the number of vectors in the second group of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the first dimension and the vector number of the second set of vectors.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and twice the number of vectors in the first set of vectors.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator Same as the index number of the first dimension, the index number of the second dimension is 0.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the first dimension and the number of vectors of the second group of vectors, and the index number of the second dimension.
  • the value range of the index number of the first dimension is between 0 and 2 times the number of vectors of the first group of vectors minus one; the value of the index number of the second dimension includes: 0, 1.
  • the mapping relationship between the strongest coefficient indicator and the index number of the first dimension and the index number of the second dimension is: the strongest coefficient indicator It is determined according to the product value of the index number of the second dimension and the vector data of the first group of vectors, and the index number of the first dimension.
  • the adjustment value of the strongest coefficient indicator is the same as the adjustment value of the index number of the second dimension.
  • the adjustment value of the strongest coefficient indicator is a product value between the adjustment value of the index number of the second dimension and the vector number of the first set of vectors.
  • the channel state information further includes: a first number indicator; wherein, the first number indicator is used to indicate the number K of coefficients to be reported among the first coefficients, and is composed of A bits
  • the field reports the first number indicator, and K is the value of the first number indicator plus 1; wherein, the value of the first number indicator is the value of a field composed of A bits, and A is a non-negative integer.
  • the channel state information further includes: a first number indicator; wherein, the first number indicator is used to indicate the number K of coefficients with non-zero values in the first coefficient, and is composed of A bits
  • the field reports the first number indicator, and K is the value of the first number indicator plus 1; wherein, the value of the first number indicator is the value of a field composed of A bits, and A is a non-negative integer.
  • the information transmission device provided in this embodiment is configured to implement the information transmission method applied to the second communication node in the embodiment shown in FIG. 2 .
  • the implementation principle and technical effect of the information transmission device provided in this embodiment are similar, and will not be repeated here.
  • Fig. 5 is a schematic structural diagram of a communication device provided by an embodiment of the present application.
  • the communication device provided by this application includes: a processor 510 , a memory 520 and a communication module 530 .
  • the number of processors 510 in the device may be one or more, and one processor 510 is taken as an example in FIG. 5 .
  • the number of storage 520 in the device may be one or more, and one storage 520 is taken as an example in FIG. 5 .
  • the processor 510, the memory 520, and the communication module 530 of the device may be connected through a bus or in other ways. In FIG. 5, connection through a bus is taken as an example.
  • the device may be a first communication node, for example, the first communication node may be a terminal side (for example, user equipment).
  • the memory 520 can be configured to store software programs, computer-executable programs and modules, such as program instructions/modules corresponding to the equipment in any embodiment of the present application (for example, the receiving module 310 in the information transmission device and reporting module 320).
  • the memory 520 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to usage of the device, and the like.
  • the memory 520 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices.
  • the memory 520 may further include memory located remotely from the processor 510, and these remote memories may be connected to the device through a network.
  • Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the communication module 530 is configured to perform communication interaction between the first communication node and the second communication node.
  • the device provided above may be configured to execute the information transmission method applied to the first communication node provided in any of the above embodiments, and have corresponding functions and effects.
  • the device provided above may be configured to execute the information transmission method applied to the second communication node provided in any of the above embodiments, and have corresponding functions and effects.
  • the embodiment of the present application also provides a storage medium containing computer-executable instructions.
  • the computer-executable instructions When executed by a computer processor, the computer-executable instructions are used to execute an information transmission method applied to a first communication node. The method includes: receiving the first communication node.
  • Configuration information of the second communication node report channel state information to the second communication node according to the configuration information; wherein, the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indicator; by the first coefficient Combine the first group of vectors to form the precoding matrix corresponding to the precoding matrix indicator, or combine the first group of vectors and the second group of vectors by the first coefficient to form the precoding matrix corresponding to the precoding matrix indicator; the strongest coefficient indicator Index number used to indicate the strongest coefficient in the first coefficient.
  • the embodiment of the present application also provides a storage medium containing computer-executable instructions.
  • the computer-executable instructions When executed by a computer processor, the computer-executable instructions are used to execute an information transmission method applied to a second communication node.
  • the method includes: determining the configuration information; sending the configuration information to the first communication node, so that the first communication node reports channel state information according to the configuration information; wherein, the channel state information includes: a precoding matrix indicator; the precoding matrix indicator includes: the strongest coefficient indication symbol; combine the first set of vectors with the first coefficients to form the precoding matrix corresponding to the precoding matrix indicator, or combine the first set of vectors and the second set of vectors with the first coefficients to form the precoding matrix corresponding to the precoding matrix indicator ;
  • the strongest coefficient indicator is used to indicate the index number of the strongest coefficient among the first coefficients.
  • user equipment covers any suitable type of wireless user equipment, such as a mobile phone, a portable data processing device, a portable web browser or a vehicle-mounted mobile station.
  • the various embodiments of the present application can be implemented in hardware or special purpose circuits, software, logic or any combination thereof.
  • some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software, which may be executed by a controller, microprocessor or other computing device, although the application is not limited thereto.
  • Computer program instructions may be assembly instructions, Instruction Set Architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or written in any combination of one or more programming languages source or object code.
  • ISA Instruction Set Architecture
  • Any logic flow block diagrams in the drawings of this application may represent program steps, or may represent interconnected logic circuits, modules and functions, or may represent a combination of program steps and logic circuits, modules and functions.
  • Computer programs can be stored on memory.
  • the memory may be of any type suitable for the local technical environment and may be implemented using any suitable data storage technology, such as but not limited to Read-Only Memory (ROM), Random Access Memory (RAM), Optical Memory devices and systems (Digital Video Disc (DVD) or Compact Disk (CD)), etc.
  • Computer readable media may include non-transitory storage media.
  • Data processors can be of any type suitable for the local technical environment, such as but not limited to general purpose computers, special purpose computers, microprocessors, digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC ), programmable logic devices (Field-Programmable Gate Array, FPGA), and processors based on multi-core processor architectures.
  • DSP Digital Signal Processing
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • processors based on multi-core processor architectures.

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

本申请提出一种信息传输方法、设备和存储介质。该应用于第一通信节点的信息传输方法包括:接收第二通信节点的配置信息;根据所述配置信息向所述第二通信节点上报信道状态信息;其中,所述信道状态信息包括:预编码矩阵指示符;所述预编码矩阵指示符包括:最强系数指示符;由第一系数组合第一组矢量构成所述预编码矩阵指示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成所述预编码矩阵指示符对应的预编码矩阵;所述最强系数指示符用于指示所述第一系数中最强系数的索引号。

Description

信息传输方法、设备和存储介质 技术领域
本申请涉及通信领域,例如涉及一种信息传输方法、设备和存储介质。
背景技术
在无线通信系统中,基站可以根据所接收的信道状态信息所代表的信道状态确定数据传输策略,并按照数据传输策略进行数据传输,以提高数据传输效率。因此,如何设计信道状态信息的处理机制,以提高获得信道状态的精确度,并减少所使用的资源开销,以及降低系统复杂度,仍是一个亟待解决的问题。
发明内容
本申请实施例提供一种信息传输方法,应用于第一通信节点,包括:
接收第二通信节点的配置信息;
根据所述配置信息向所述第二通信节点上报信道状态信息;
其中,所述信道状态信息包括:预编码矩阵指示符;所述预编码矩阵指示符包括:最强系数指示符;
由第一系数组合第一组矢量构成所述预编码矩阵指示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成所述预编码矩阵指示符对应的预编码矩阵;所述最强系数指示符用于指示所述第一系数中最强系数的索引号。
本申请实施例提供一种信息传输方法,应用于第二通信节点,包括:
确定配置信息;
将所述配置信息发送至第一通信节点,以使第一通信节点根据所述配置信息上报信道状态信息;
其中,所述信道状态信息包括:预编码矩阵指示符;所述预编码矩阵指示符包括:最强系数指示符;由第一系数组合第一组矢量构成所述预编码矩阵指 示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成所述预编码矩阵指示符对应的预编码矩阵;所述最强系数指示符用于指示所述第一系数中最强系数的索引号。
本申请实施例提供一种通信设备,包括:通信模块,存储器,以及一个或多个处理器;
所述通信模块,配置为在第一通信节点和第二通信节点之间进行通信交互;
所述存储器,配置为存储一个或多个程序;
当所述一个或多个程序被所述一个或多个处理器执行,使得所述一个或多个处理器实现上述任一实施例所述的方法。
本申请实施例提供一种存储介质,所述存储介质存储有计算机程序,所述计算机程序被处理器执行时实现上述任一实施例所述的方法。
附图说明
图1是本申请实施例提供的一种信息传输方法的流程图;
图2是本申请实施例提供的另一种信息传输方法的流程图;
图3是本申请实施例提供的一种信息传输装置的结构框图;
图4是本申请实施例提供的另一种信息传输装置的结构框图;
图5是本申请实施例提供的一种通信设备的结构示意图。
具体实施方式
下文中将结合附图对本申请的实施例进行说明。以下结合实施例附图对本申请进行描述,所举实例仅用于解释本申请,并非用于限定本申请的范围。
无线通信发展到第5代通信技术。其中,第4代无线通信技术中的长期演进(Long Term Evolution,LTE)技术与第5代无线通信技术中的新空口(New Radio,NR)技术是基于正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM);在OFDM技术中,最小的频域单元为子载波,最小的时域单元为OFDM 符号;为了方便使用频域资源,定义了资源块(Resource Block,RB),一个资源块定义为特定数目的连续子载波;又定义了带宽块(BandWidth Part,BWP),一个带宽块定义为一个载波上又一特定数目的连续资源块;为了方便使用时域资源,定义了时隙(slot),一个时隙定义为又一特定数目的连续OFDM符号。
无线通信系统中获取信道状态信息的方法,及利用信道状态信息进行数据传输的方法包括如下步骤:基站发送参考信号;终端测量参考信号,确定基站到终端的信道状态信息,并报告信道状态信息给基站;基站接收终端报告的信道状态信息。基站根据所接收的信道状态信息所代表的信道状态确定数据传输的策略,并传输数据,从而提高数据传输的效率。其中,信道状态信息所代表的信道状态的精准程度影响到基站的传输策略,从而影响到数据传输的效率。同时,基站发射参考信号需要占用下行资源的开销,终端上传信道状态信息需要占用上行资源的开销。另一方面,系统复杂度增加会提高系统的成本,增加能量的损耗。因此设计方面需要综合考虑多方因素。
无线通信技术的发展需要进一步设计处理信道状态信息的机制,以提高所获得的信道状态的精确度,并减小所使用的资源开销,降低系统的复杂度。
基站发送给终端的参考信号为下行参考信号;在LTE系统中用于信道状态信息报告的下行参考信号包括小区特定参考信号(Cell-specific Reference Signal,CRS),信道状态信息参考信号(Channel-State Information Reference Signal,CSI-RS);在NR系统中用于信道状态信息报告的下行参考信号包括CSI-RS。CSI-RS由信道状态信息参考信号资源(CSI-RS Resource)承载,信道状态信息参考信号资源由码分复用组(Code Division Multiplexing group,CDM group)组成,一个CDM group是由无线资源元素组成,一组CSI-RS端口的CSI-RS在其上通过码分复用的方式复用。
基站与终端之间传输的信道状态信息的内容包括:信道质量指示符(Channel quality indicator,CQI),用以指示信道的质量;或者,包括预编码矩阵指示符(Precoding Matrix Indicator,PMI),用以指示应用于基站天线上的预编码矩阵。 一类CQI的报告格式为宽带CQI报告(wideband CQI reporting),即为信道状态信息报告频带(CSI reporting band)报告一个信道质量,该信道质量对应整个所述信道状态信息报告频带;另一类CQI的报告格式为子带CQI报告(subband CQI reporting),即对信道状态信息报告频带(CSI reporting band)以子带为单位分别给出信道质量,其中一个信道质量对应一个子带,即为信道状态信息报告频带的每一个子带报告一个信道质量。所述的子带是频域单位,定义为N个连续RB,N为正整数;为了便于描述,本申请称为信道质量指示子带,或者CQI子带,或者子带;其中,N称为CQI子带的尺码(size),或者称为CQI子带尺码,或者称为子带尺码(size)。带宽块(BWP,Bandwidth part)划分为子带,信道状态信息报告频带(CSI reporting band)用带宽块(BWP,Bandwidth part)的子带的子集进行定义。信道状态信息报告频带(CSI reporting band)是其上的信道状态信息需要被报告的频带。
一种确定信道质量的方式是根据终端接收到参考信号的强度确定;另一种确定信道质量的方式是根据接收到参考信号的信噪比确定。在信道状态信息报告频带上,如果信道质量变化不大,以宽带CQI报告方式报告CQI可以减小用于CQI报告的资源开销;如果信道质量在频域上差异较大,以子带CQI报告方式报告CQI可以增加CQI报告的精准程度。
一类PMI的报告格式为宽带PMI报告,即为信道状态信息报告频带报告一个PMI,该PMI对应整个所述信道状态信息报告频带。另一类PMI的报告格式为子带PMI报告,即为信道状态信息报告频带的每一个子带报告一个PMI,或者为信道状态信息报告频带的每一个子带报告一个PMI的组成部分。例如,PMI由X1与X2组成,为信道状态信息报告频带的每一个子带报告一个PMI的组成部分的一个方式为:为整个频带报告一个X1,为每一个子带报告一个X2;另一个方式为:为每一个子带报告一个X1与一个X2。
又一类PMI的报告格式为,所报告的PMI为每个子带指示R个预编码矩阵,其中R为正整数。从反馈预编码矩阵的频域颗粒度的意义上讲,R又表示每个 子带包括的预编码矩阵子带的数目,或者每个CQI子带包括的预编码矩阵子带的数目。
一种报告信道状态信息的方法,终端接收基站的配置信息(包括第一配置信息和第二配置信息),终端根据所述配置信息接收基站发射的信道状态信息参考信号,终端根据所述配置信息报告信道状态信息;
其中,信道状态信息包括预编码矩阵指示符,所述预编码矩阵由第一组矢量确定,或由第一组矢量与第二组矢量确定;第一组矢量包含L个矢量,第二组矢量包含M v个矢量,其中L、M v为正整数;其中,第一组矢量中的一个矢量对应信道状态信息参考信号的一个端口;第二组矢量中的一个矢量为索引号为
Figure PCTCN2022128287-appb-000001
的DFT矢量;其中,索引号为
Figure PCTCN2022128287-appb-000002
的DFT矢量的元素为:
Figure PCTCN2022128287-appb-000003
其中t={0,1,...,N 3-1},N 3是预编码矩阵的数量。
t是DFT矢量中元素的索引号,取值为0,1,...,N 3-1。t也可以代表预编码矩阵的索引号。t也可以代表频域单元的索引号,t的一个取值与一个频域单元相对应。例如,第二组矢量中的DFT矢量的索引号为t的元素对应的索引号为t的预编码矩阵是索引号为t的频域单元的预编码矩阵。
预编码矩阵可以仅由第一组矢量组成,也可以由第一组矢量与第二组矢量组成。预编码仅由第一组矢量组成,其中一层示例:W=W 1W 2,其中,W表示预编码矩阵,W 1表示由第一组矢量构成的矩阵,W 2表示组合第一组矢量构成预编码矩阵的系数,以矩阵表示。预编码由第一组矢量与第二组矢量组成,其中一层示例:W=W 1W 2W f,其中,W表示预编码,W 1表示由第一组矢量构成的矩阵,W f表示第二组矢量构成的矩阵,W 2表示组合第一组矢量与第二组矢量构成预编码矩阵的系数,以矩阵表示。
为了终端报告CSI,基站向终端CSI-RS资源,其中CSI-RS资源的端口数 目为P;终端从所述P个CSI-RS端口中选择出K 1个端口,其中在每个极化方向选择出L个端口,K 1=2L;所述L个端口中的每个端口映射到第一组矢量中的一个矢量;终端所报告组成预编码矩阵的一层的系数的数目不超过K 0,所报告组成预编码矩阵的所有层的系数总计的数目不超过2K 0;其中
Figure PCTCN2022128287-appb-000004
β是基站向终端配置的参数。终端向基站报告所报告的系数的数目K NZ。
一个序号为m i的端口映射到一个映量
Figure PCTCN2022128287-appb-000005
的方式为,
Figure PCTCN2022128287-appb-000006
是包含P/2个元素的矢量,其中第(m i mod P/2)个元素为1,其余元素为0;其中,mod表示模运算,m i表示被除数,P/2表示除数;首个元素是第0个元素。以P为8,m i为2进行举例,v 2=[0,0,1,0] T;其中T表示转置。
由L个矢量组成W 1的一个例子,
Figure PCTCN2022128287-appb-000007
其中,O表示包含P/2个元素,且所有元素为0的矢量。
记第二组矢量中的矢量为y (f),其中f=0,1,…,M v-1;例如,第二组矢量中的M v个矢量为y (0),y (1),…,y (Mv-1),为行矢量。由第二组矢量中M v个矢量组成W f的一个例子,
Figure PCTCN2022128287-appb-000008
在预编码矩阵仅由第一组矢量组成的情况下,预编码矩阵的一层示例:W=W 1W 2,其中W表示预编码矩阵;W 1表示由第一组矢量构成的矩阵,维度为P×2L,即第一维度为P,第二维度为2L;W 2表示组合第一组矢量构成预编码矩阵的系数,以矩阵表示,维度为2L×1,即第一维度为2L,第二维度为1;即W 2所 包含的元素的数目为2L,也就是组成预编码矩阵的一层的系数的数目为2L。
在预编码矩阵由第一组矢量与第二组矢量组成的情况下,预编码矩阵的一层示例:W=W 1W 2W f,其中W表示预编码矩阵;W 1表示由第一组矢量构成的矩阵,维度为P×2L,即第一维度为P,第二维度为2L;W f表示第二组矢量构成的矩阵,维度为M v×N 3,即第一维度为M v,第二维度为N 3;W 2表示组合第一组矢量与第二组矢量构成预编码矩阵的系数,以矩阵表示,维度为2L×M v,即第一维度为2L,第二维度为M v;即W 2所包含的元素的数目为2LM v,也就是组成预编码矩阵的一层的系数的数目为2LM v。
为了节省终端报告预编码矩阵指示符的开销,终端仅报告组成预编码矩阵的系数的一部分;例如,基站向终端配置参数β,确定参数K 0,
Figure PCTCN2022128287-appb-000009
其中β是小于等于1的正数;对于组成预编码矩阵的一层的系数,终端向基站报告的系数的数目不超过K 0;对于组成预编码矩阵的所有层的系数,终端向基站报告的系数的数目总计不超过2K 0。为了让基站能够接收所报告的系数,终端还向基站报告所报告系数的数目K NZ,并且报告比特映射(bitmap),以比特映射的非零比特指示组成预编码矩阵的系数中哪些系数被报告。其中,K NZ表示终端向基站报告非零值的系数的数目为K。
在一实施例中,图1是本申请实施例提供的一种信息传输方法的流程图。本实施例可以由第一通信节点执行。其中,第一通信节点可以为终端侧(比如,用户设备)。如图1所示,本实施例包括:S110-S120。
S110、接收第二通信节点的配置信息。
S120、根据配置信息向第二通信节点上报信道状态信息。
其中,信道状态信息包括:预编码矩阵指示符;预编码矩阵指示符包括:最强系数指示符;
由第一系数组合第一组矢量构成预编码矩阵指示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成预编码矩阵指示符对应的预 编码矩阵;最强系数指示符用于指示第一系数中最强系数的索引号。
在实施例中,最强系数指示符指的是第一系数中最强系数的指示符。其中,第一系数是组合第一组矢量构成预编码矩阵的系数,或者,第一系数是组合第一组矢量与第二组矢量构成预编码矩阵的系数。最强系数指的是第一系数中幅度最大的系数。示例性地,幅度的最大值为1,则最强系数为第一系数中幅度为1的系数。当然,在第一系数中不存在幅度为1的系数的情况下,则查找第一系数中幅度最大的系数作为最强系数。在实施例中,最强系数指示符用于指示最强系数在第一系数中的索引号。在实施例中,通过最强系数指示符指示出第一系数中最强系数的索引号,则可以直接将该索引号的系数上报至第二通信节点,第一通信节点无需将所有系数上报至第二通信节点,以使第二通信节点进行分析确定最强系数,从而节省了上报系数的资源开销。又或者,通过最强系数指示符指示出第一系数中最强系数的索引号,最强系数采用预定义的值,以节省对最强系数的幅度值与相位值的直接上报,从而节省上报最强系数的幅度值与相位值的资源开销,并且因最强系数采用预定义的值而提高了最强系数所采用值的精度,从而提高所报告的预编码矩阵的精度,从而提高所上报的预编码矩阵的性能。例如,在规一化场景下,最强系数预定义为1,即最强系数的幅度值预定义为1,最强系数的相位值预定义为0,最强系数指示符指示出最强系数的索引号,而不需直接报告最强系数的幅度值与相位值,由最强系数的索引号可以确定与之对应的系数即为最强系数,并且其幅度为1,相位为0。
在一实施例中,最强系数的索引号包括:第一维度的索引号和第二维度的索引号;
其中,第一维度的索引号对应第一组矢量;第二维度的索引号对应第二组矢量。可以理解为,预编码矩阵是由两个维度组成的矩阵,相应的,用于构成预编码矩阵的第一系数也包括两个维度,即第一维度和第二维度。相应的,第一系数的索引号由两个维度组成,即最强系数的索引号也包括两个维度,即第一维度的索引号和第二维度的索引号。其中,第一维度的索引号对应第一组矢 量,第二维度的索引号对应第二组矢量。其中,第一组矢量中的一个矢量对应信道状态信息参考信号的一个端口,第二组矢量中的一个矢量中的一个元素对应一个预编码矩阵。
在一实施例中,根据第二组矢量的矢量数量确定最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系。在实施例中,第二组矢量的矢量数量指的是第二组矢量中的总矢量数量。
在一实施例中,最强系数指示符的调整值为第一维度的索引号的调整值与第二组矢量的矢量数量之间的乘积值。在实施例中,第一维度的索引号每改变1,最强系数指示符相应的改变第二组矢量的矢量数量的取值;相应的,第一维度的索引号每改变n,最强系数指示符的取值相应的改变第二组矢量的矢量数量的取值的n倍。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量的2倍之间的乘积值。在实施例中,第一组矢量的矢量数量指的是第一组矢量中的总矢量数量。在实施例中,第二维度的索引号每改变1,最强系数指示符相应的改变第一组矢量的矢量数量的取值的2倍;相应的,第二维度的索引号每改变n,最强系数指示符的取值相应的改变第一组矢量的矢量数量的取值的2n倍。
在一实施例中,与第二组矢量的矢量数量为1相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符与第一维度的索引号相同,第二维度的索引号为0。在实施例中,在第二组矢量的矢量数量为1的情况下,最强系数指示符与第一维度的索引号相同,第二维度的索引号为0。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第一维度的索引号与第二组矢量的矢量数量的乘积值,以及第二维度的索引号确定。在第二组矢量的矢量数量为2的情况下,最强系数指示符的取值等 于第一维度的索引号与第二组矢量的矢量矢量的乘积值,与第二维度的索引号的取值的总和。
在一实施例中,第一维度的索引号的取值范围为0至第一组矢量的矢量数量的2倍减一之间的取值;第二维度的索引号的取值包括:0,1。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第二维度的索引号与第一组矢量的矢量数据的乘积值,以及第一维度的索引号确定。
在一实施例中,最强系数指示符的调整值与第二维度的索引号的调整值相同。在实施例中,第二维度的索引号每调整1,最强系数指示符的取值相应的调整1;当然,第二维度的索引号每调整n,最强系数指示符的取值相应的调整n。其中,n为大于0的正整数。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量之间的乘积值。在实施例中,第二维度的索引号每调整1,最强系数指示符的取值相应的调整第二维度的索引号的取值与第一组矢量的矢量数量的乘积值。相应的,第二维度的索引号每调整n,最强系数指示符的取值相应的调整第二维度的索引号的取值、第一组矢量的矢量数量与n的乘积值。其中,n为0或1。
在一实施例中,图2是本申请实施例提供的另一种信息传输方法的流程图。本实施例可以由第二通信节点执行。其中,第二通信节点可以为基站。如图2所示,本实施例包括:S210-S220。
S210、确定配置信息。
S220、将配置信息发送至第一通信节点,以使第一通信节点根据配置信息上报信道状态信息。
其中,信道状态信息包括:预编码矩阵指示符;预编码矩阵指示符包括:最强系数指示符;由第一系数组合第一组矢量构成预编码矩阵指示符对应的预 编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成预编码矩阵指示符对应的预编码矩阵;最强系数指示符用于指示第一系数中最强系数的索引号。
在一实施例中,最强系数的索引号包括:第一维度的索引号和第二维度的索引号;
其中,第一维度的索引号对应第一组矢量;第二维度的索引号对应第二组矢量。
在一实施例中,根据第二组矢量的矢量数量确定最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系。
在一实施例中,最强系数指示符的调整值为第一维度的索引号的调整值与第二组矢量的矢量数量之间的乘积值。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量的2倍之间的乘积值。
在一实施例中,与第二组矢量的矢量数量为1相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符与第一维度的索引号相同,第二维度的索引号为0。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第一维度的索引号与第二组矢量的矢量数量的乘积值,以及第二维度的索引号确定。
在一实施例中,第一维度的索引号的取值范围为0至第一组矢量的矢量数量的2倍减一之间的取值;第二维度的索引号的取值包括:0,1。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第二维度的索引号与第一组矢量的矢量数据的乘积值,以及第一维度的索引号确定。
在一实施例中,最强系数指示符的调整值与第二维度的索引号的调整值相同。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量之间的乘积值。
在此需要说明的是,对应用于第二通信节点的信息传输方法中各个参数的解释,见上述实施例中应用于第一通信节点的信息传输方法中的描述,在此不再赘述。
在一实施例中,以第一通信节点为终端,第二通信节点为基站为例,对信道状态信息的上报过程进行说明。在实施例中,信道状态信息的上报步骤,包括:终端接收基站的配置信息,终端根据配置信息报告信道状态信息;
其中,信道状态信息包括预编码矩阵指示符,该预编码矩阵指示符对应的预编码矩阵由第一组矢量确定,或由第一组矢量与第二组矢量确定;第一组矢量包含L个矢量,第二组矢量包含M v个矢量,其中,L、M v为正整数;其中,第一组矢量中的一个矢量对应信道状态信息参考信号的一个端口;第二组矢量中的一个矢量中的一个元素对应一个预编码矩阵。
例如,配置信息包括L的值,或者配置信息中包括L的值与M v的值。再例如,配置信息包括预编码矩阵的码本的版本信息。再例如,配置信息为报告信道状态信息指示用于测量信道状态信息的参考信号。
预编码矩阵指示符包括:第一系数指示符,第一系数指示符用于指示第一系数;其中,第一系数是组合第一组矢量构成预编码矩阵的系数,或者第一系数是组合第一组矢量与第二组矢量构成预编码矩阵的系数。
采用第一系数的索引号标识第一系数中的系数。第一系数的索引号包括第一维度的索引号i与第二维度的索引号f,第一维度的索引号i对应着第一组矢量,第二维度的索引号f对应着第二组矢量。例如,第一系数的索引号为(i,f)的第一系数指示符d i,f映射到第一系数的索引号为(i,f)的第一系数u i,f;第一系数指 示符d i,f是第一系数指示符中索引号为(i,f)的指示符,第一系数u i,f是第一系数中索引号为(i,f)的系数;其中,第一维度的索引号i对应着第一组矢量,第二维度的索引号f对应着第二组矢量。即第一系数索引号就是第一系数中的系数在第一系数中的索引号。第一系数包括第一系数幅度与第一系数相位,第一系数指示符也包括第一系数幅度指示符与第一系数相位指示符。
例如,第一系数的索引号为(i,f)的第一系数的幅度指示符k i,f映射到第一系数的索引号为(i,f)的第一系数的幅度p i,f;第一系数的幅度指示符d i,f是第一系数的幅度指示符中索引号为(i,f)的指示符,第一系数的幅度p i,f是第一系数的幅度中索引号为(i,f)的幅度;其中,第一维度的索引号i对应着第一组矢量,第二维度的索引号f对应着第二组矢量。例如,第一系数的索引号为(i,f)的第一系数的相位指示符c i,f映射到第一系数的索引号为(i,f)的第一系数的相位φ i,f;第一系数的相位指示符c i,f是第一系数的相位指示符中索引号为(i,f)的指示符,第一系数的相位φ i,f是第一系数的相位中索引号为(i,f)的相位;其中,第一维度的索引号i对应着第一组矢量,第二维度的索引号f对应着第二组矢量。
第一系数中的最强系数,称为最强系数。预编码指示符包括最强系数指示符,最强系数指示符用于指示最强系数,最强系数指示符用于指示最强系数在第一系数中的索引号;即指示最强系数的第一系数的索引号。例如,最强系数指示符s指示最强系数在第一系数中的索引号(i',f'),其中,i'为第一维度的索引号,f'为第二维度的索引号。其中,最强系数的幅度指示符k i',f'不用报告,最强系数的幅度指示符k i',f'映射的幅度值p i',f'为1;最强系数的相位指示符c i',f'不用报告,最强系数的相位指示符c i',f'为0。
在一实施例中,预编码指示符包括最强系数指示符s,最强系数指示符s指示最强系数在第一系数中的索引号(i',f');其中,第一维度的索引号i'对应着第 一组矢量,第二维度的索引号f'对应着第二组矢量;其中,第一系数是组合第一组矢量构成预编码矩阵的系数,或者第一系数是组合第一组矢量与第二组矢量构成预编码矩阵的系数。
在一实施例中,最强系数指示符s指示最强系数在第一系数中的索引号(i',f'),其中,最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系根据M v的值确定。
最强系数指示符s指示最强系数在第一系数中的索引号(i',f'),其中通过最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系进行指示。最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系根据M v的值确定。
一个举例如下,最强系数指示符s指示最强系数在第一系数中的索引号(i',f'),第一维度的索引号i'每改变1,最强系数指示符s的取值改变M v。
例如,最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系为:s=i'·M v+f'。
再例如,最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系为:s=i'·M v+f',其中,i'∈{0,1,…,2L-1},f'∈{0,1,…,M v-1}。
再一个举例如下,最强系数指示符s指示最强系数在第一系数中的索引号(i',f'),第二维度的索引号f'每改变1,最强系数指示符s的取值改变2L,其中,f'的取值范围为0到M v-1的整数。
例如,最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系为:s=f'·2L+i',其中,i'∈{0,1,…,2L-1},f'∈{0,1,…,M v-1}。
或者,s=2Lf'+i';其中i'∈{0,1,…,2L-1},f'∈{0,1,…,M v-1}。
在一实施例中,与M v的取值为1相对应,最强系数指示符s与第一维度的 索引号i'、第二维度的索引号f'的映射关系为:s=i',f'=0;
与M v的取值为2相对应,最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系为:s=i'·M v+f';
或者,s=i'·M v+f',其中i'∈{0,1,…,2L-1},f'∈{0,1};
或者,
Figure PCTCN2022128287-appb-000010
在实施例中,在i'的取值范围不同的情况下,相应的,最强系数指示符s的取值与第一维度的索引号i'、第二维度的索引号f'的映射关系也是不同的。
与M v的取值为1相对应,最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系为:s=i',f'=0。
与M v的取值为2相对应,最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系为:s=i'·M v+f';
或者,s=i'·M v+f',其中,i'∈{0,1,…,2L-1},f'∈{0,1};
或者,
Figure PCTCN2022128287-appb-000011
在一实施例中,最强系数指示符s指示最强系数在第一系数中的索引号(i',f'),其中,在最强系数指示符s与第一维度的索引号i'、第二维度的索引号f'的映射关系中,第二维度的索引号f'每改变1,最强系数指示符s改变1。
例如,s=i'·M v+f'。
再例如,s=i'·M v+f',其中,i'∈{0,1,…,2L-1},f'∈{0,1,…,M v-1}。
在一实施例中,最强系数指示符s指示最强系数在第一系数中的索引号(i',f'),第二维度的索引号f'每改变1,最强系数指示符s的取值改变L,其中,f'的取值范围为0到M v-1的整数。
例如,
Figure PCTCN2022128287-appb-000012
在一实施例中,信道状态信息还包括:第一数目指示符;其中,第一数目指示符用于指示第一系数中需要报告的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值。
在又一实施例中,信道状态信息还包括:第一数目指示符;其中,第一数目指示符用于指示第一系数中非零值的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值。
需要说明如下,为了节省终端报告预编码矩阵指示符的开销,终端仅报告组成预编码矩阵的系数的一部分;例如,基站向终端配置参数β,确定参数K 0,
Figure PCTCN2022128287-appb-000013
其中β是小于等于1的正数;对于组成预编码矩阵的一层的系数,终端向基站报告的系数的数目不超过K 0;对于组成预编码矩阵的所有层的系数,终端向基站报告的系数的数目总计不超过2K 0。为了让基站能够接收所报告的系数,终端还向基站报告所报告系数的数目K NZ,并且报告比特映射(bitmap),以比特映射的非零比特指示组成预编码矩阵的系数中哪些系数被报告。其中,K NZ表示终端向基站报告非零值的系数的数目为K。对应于预编码矩阵仅为一层的情况下,第一系数中需要报告的系数的数目最大可能值B为K 0;对于预编码矩阵为多层的情况下,第一系数中需要报告的系数的数目最大可能值B为2K 0。终端在信道状态信息中以第一数目指示符指示第一系数中需要报告的系数的数目;并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值。或者,终端在信道状态信息中以第一数目指示符指示第一系数中非零值的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示 符的值为A个比特组成的域的值。A为非负整数。例如,
Figure PCTCN2022128287-appb-000014
即A为B的以2为底的对数的取整值。以所述方式通过第一数目指示符指示K,可以节省1比特的资源开销。例如,数目B为16,B为以A个比特组成的域的值,那么A需要大于4,即需要大于4个比特才能报告B;如果,数目B为16,B为以A个比特组成的域的值加1,那么A仅需等于4,即仅需要4个比特就能报告B;从而节省一个报告数目B的一个比特的资源开销。
在一实施例中,图3是本申请实施例提供的一种信息传输装置的结构框图。本实施例应用于第一通信节点。如图3所示,本实施例中的信息报告装置包括:接收模块310和上报模块320。
其中,接收模310,配置为接收第二通信节点的配置信息;
上报模块320,配置为根据配置信息向第二通信节点上报信道状态信息。
其中,信道状态信息包括:预编码矩阵指示符;预编码矩阵指示符包括:最强系数指示符;
由第一系数组合第一组矢量构成预编码矩阵指示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成预编码矩阵指示符对应的预编码矩阵;最强系数指示符用于指示第一系数中最强系数的索引号。
在一实施例中,最强系数的索引号包括:第一维度的索引号和第二维度的索引号;
其中,第一维度的索引号对应第一组矢量;第二维度的索引号对应第二组矢量。
在一实施例中,根据第二组矢量的矢量数量确定最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系。
在一实施例中,最强系数指示符的调整值为第一维度的索引号的调整值与第二组矢量的矢量数量之间的乘积值。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量的2倍之间的乘积值。
在一实施例中,与第二组矢量的矢量数量为1相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符与第一维度的索引号相同,第二维度的索引号为0。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第一维度的索引号与第二组矢量的矢量数量的乘积值,以及第二维度的索引号确定。
在一实施例中,第一维度的索引号的取值范围为0至第一组矢量的矢量数量的2倍减一之间的取值;第二维度的索引号的取值包括:0,1。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第二维度的索引号与第一组矢量的矢量数据的乘积值,以及第一维度的索引号确定。
在一实施例中,最强系数指示符的调整值与第二维度的索引号的调整值相同。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量之间的乘积值。
在一实施例中,所述信道状态信息还包括:第一数目指示符;其中,所述第一数目指示符用于指示第一系数中需要报告的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值,A为非负整数。
在一实施例中,所述信道状态信息还包括:第一数目指示符;其中,所述第一数目指示符用于指示第一系数中非零值的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值,A为非负整数。
本实施例提供的信息传输装置设置为实现图1所示实施例的应用于第一通 信节点的信息传输方法,本实施例提供的信息传输装置实现原理和技术效果类似,此处不再赘述。
在一实施例中,图4是本申请实施例提供的另一种信息传输装置的结构框图。本实施例应用于第二通信节点。如图4所示,本实施例中的信息报告装置包括:确定模块410和发送模块420。
其中,确定模块410,配置为确定配置信息;
发送模块420,配置为将配置信息发送至第一通信节点,以使第一通信节点根据配置信息上报信道状态信息;
其中,信道状态信息包括:预编码矩阵指示符;预编码矩阵指示符包括:最强系数指示符;由第一系数组合第一组矢量构成预编码矩阵指示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成预编码矩阵指示符对应的预编码矩阵;最强系数指示符用于指示第一系数中最强系数的索引号。
在一实施例中,最强系数的索引号包括:第一维度的索引号和第二维度的索引号;
其中,第一维度的索引号对应第一组矢量;第二维度的索引号对应第二组矢量。
在一实施例中,根据第二组矢量的矢量数量确定最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系。
在一实施例中,最强系数指示符的调整值为第一维度的索引号的调整值与第二组矢量的矢量数量之间的乘积值。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量的2倍之间的乘积值。
在一实施例中,与第二组矢量的矢量数量为1相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符与第一维度的索引号相同,第二维度的索引号为0。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第一维度的索引号与第二组矢量的矢量数量的乘积值,以及第二维度的索引号确定。
在一实施例中,第一维度的索引号的取值范围为0至第一组矢量的矢量数量的2倍减一之间的取值;第二维度的索引号的取值包括:0,1。
在一实施例中,与第二组矢量的矢量数量为2相对应,最强系数指示符与第一维度的索引号以及第二维度的索引号之间的映射关系为:最强系数指示符根据第二维度的索引号与第一组矢量的矢量数据的乘积值,以及第一维度的索引号确定。
在一实施例中,最强系数指示符的调整值与第二维度的索引号的调整值相同。
在一实施例中,最强系数指示符的调整值为第二维度的索引号的调整值与第一组矢量的矢量数量之间的乘积值。
在一实施例中,所述信道状态信息还包括:第一数目指示符;其中,所述第一数目指示符用于指示第一系数中需要报告的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值,A为非负整数。
在一实施例中,所述信道状态信息还包括:第一数目指示符;其中,所述第一数目指示符用于指示第一系数中非零值的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值,A为非负整数。
本实施例提供的信息传输装置设置为实现图2所示实施例的应用于第二通信节点的信息传输方法,本实施例提供的信息传输装置实现原理和技术效果类似,此处不再赘述。
图5是本申请实施例提供的一种通信设备的结构示意图。如图5所示,本申请提供的通信设备,包括:处理器510、存储器520和通信模块530。该设备中处理器510的数量可以是一个或者多个,图5中以一个处理器510为例。该设备中存储器520的数量可以是一个或者多个,图5中以一个存储器520为例。该设备的处理器510、存储器520和通信模块530可以通过总线或者其他方式连接,图5中以通过总线连接为例。在该实施例中,该设备为可以为第一通信节点,比如,第一通信节点可以为终端侧(比如,用户设备)。
存储器520作为一种计算机可读存储介质,可设置为存储软件程序、计算机可执行程序以及模块,如本申请任意实施例的设备对应的程序指令/模块(例如,信息传输装置中的接收模块310和上报模块320)。存储器520可包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需的应用程序;存储数据区可存储根据设备的使用所创建的数据等。此外,存储器520可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实例中,存储器520可进一步包括相对于处理器510远程设置的存储器,这些远程存储器可以通过网络连接至设备。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
通信模块530,配置为在第一通信节点和第二通信节点之间进行通信交互。
在通信设备为第一通信节点的情况下,上述提供的设备可设置为执行上述任意实施例提供的应用于第一通信节点的信息传输方法,具备相应的功能和效果。
在通信设备为第二通信节点的情况下,上述提供的设备可设置为执行上述任意实施例提供的应用于第二通信节点的信息传输方法,具备相应的功能和效果。
本申请实施例还提供一种包含计算机可执行指令的存储介质,计算机可执行指令在由计算机处理器执行时用于执行一种应用于第一通信节点的信息传输 方法,该方法包括:接收第二通信节点的配置信息;根据配置信息向第二通信节点上报信道状态信息;其中,信道状态信息包括:预编码矩阵指示符;预编码矩阵指示符包括:最强系数指示符;由第一系数组合第一组矢量构成预编码矩阵指示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成预编码矩阵指示符对应的预编码矩阵;最强系数指示符用于指示第一系数中最强系数的索引号。
本申请实施例还提供一种包含计算机可执行指令的存储介质,计算机可执行指令在由计算机处理器执行时用于执行一种应用于第二通信节点的信息传输方法,该方法包括:确定配置信息;将配置信息发送至第一通信节点,以使第一通信节点根据配置信息上报信道状态信息;其中,信道状态信息包括:预编码矩阵指示符;预编码矩阵指示符包括:最强系数指示符;由第一系数组合第一组矢量构成预编码矩阵指示符对应的预编码矩阵,或者,由第一系数组合第一组矢量和第二组矢量构成预编码矩阵指示符对应的预编码矩阵;最强系数指示符用于指示第一系数中最强系数的索引号。
本领域内的技术人员应明白,术语用户设备涵盖任何适合类型的无线用户设备,例如移动电话、便携数据处理装置、便携网络浏览器或车载移动台。
一般来说,本申请的多种实施例可以在硬件或专用电路、软件、逻辑或其任何组合中实现。例如,一些方面可以被实现在硬件中,而其它方面可以被实现在可以被控制器、微处理器或其它计算装置执行的固件或软件中,尽管本申请不限于此。
本申请的实施例可以通过移动装置的数据处理器执行计算机程序指令来实现,例如在处理器实体中,或者通过硬件,或者通过软件和硬件的组合。计算机程序指令可以是汇编指令、指令集架构(Instruction Set Architecture,ISA)指令、机器指令、机器相关指令、微代码、固件指令、状态设置数据、或者以一种或多种编程语言的任意组合编写的源代码或目标代码。
本申请附图中的任何逻辑流程的框图可以表示程序步骤,或者可以表示相 互连接的逻辑电路、模块和功能,或者可以表示程序步骤与逻辑电路、模块和功能的组合。计算机程序可以存储在存储器上。存储器可以具有任何适合于本地技术环境的类型并且可以使用任何适合的数据存储技术实现,例如但不限于只读存储器(Read-Only Memory,ROM)、随机访问存储器(Random Access Memory,RAM)、光存储器装置和系统(数码多功能光碟(Digital Video Disc,DVD)或光盘(Compact Disk,CD))等。计算机可读介质可以包括非瞬时性存储介质。数据处理器可以是任何适合于本地技术环境的类型,例如但不限于通用计算机、专用计算机、微处理器、数字信号处理器(Digital Signal Processing,DSP)、专用集成电路(Application Specific Integrated Circuit,ASIC)、可编程逻辑器件(Field-Programmable Gate Array,FPGA)以及基于多核处理器架构的处理器。

Claims (16)

  1. 一种信息传输方法,应用于第一通信节点,包括:
    接收第二通信节点的配置信息;
    根据所述配置信息向所述第二通信节点上报信道状态信息;
    其中,所述信道状态信息包括:预编码矩阵指示符;所述预编码矩阵指示符包括:最强系数指示符;
    所述预编码矩阵指示符对应的预编码矩阵由第一系数和第一组矢量进行组合构成,或者,所述预编码矩阵指示符对应的预编码矩阵由第一系数、第一组矢量和第二组矢量进行组合构成;所述最强系数指示符用于指示所述第一系数中最强系数的索引号。
  2. 根据权利要求1所述的方法,其中,所述最强系数的索引号包括:第一维度的索引号和第二维度的索引号;
    其中,所述第一维度的索引号对应所述第一组矢量;所述第二维度的索引号对应所述第二组矢量。
  3. 根据权利要求2所述的方法,其中,根据所述第二组矢量的矢量数量确定所述最强系数指示符与所述第一维度的索引号以及所述第二维度的索引号之间的映射关系。
  4. 根据权利要求3所述的方法,其中,所述最强系数指示符的调整值为所述第一维度的索引号的调整值与所述第二组矢量的矢量数量之间的乘积值。
  5. 根据权利要求3所述的方法,其中,所述最强系数指示符的调整值为所述第二维度的索引号的调整值与所述第一组矢量的矢量数量的2倍之间的乘积值。
  6. 根据权利要求3所述的方法,其中,与所述第二组矢量的矢量数量为1相对应,所述最强系数指示符与所述第一维度的索引号以及所述第二维度的索引号之间的映射关系为:所述最强系数指示符与所述第一维度的索引号相同,所述第二维度的索引号为0。
  7. 根据权利要求3所述的方法,其中,与所述第二组矢量的矢量数量为2相对应,所述最强系数指示符与所述第一维度的索引号以及所述第二维度的索引 号之间的映射关系为:所述最强系数指示符根据所述第一维度的索引号与所述第二组矢量的矢量数量的乘积值,以及所述第二维度的索引号确定。
  8. 根据权利要求7所述的方法,其中,所述第一维度的索引号的取值范围为0至所述第一组矢量的矢量数量的2倍减一之间的取值;所述第二维度的索引号的取值包括:0,1。
  9. 根据权利要求3所述的方法,其中,与所述第二组矢量的矢量数量为2相对应,所述最强系数指示符与所述第一维度的索引号以及所述第二维度的索引号之间的映射关系为:所述最强系数指示符根据所述第二维度的索引号与所述第一组矢量的矢量数据的乘积值,以及所述第一维度的索引号确定。
  10. 根据权利要求3所述的方法,其中,所述最强系数指示符的调整值与所述第二维度的索引号的调整值相同。
  11. 根据权利要求3所述的方法,其中,所述最强系数指示符的调整值为所述第二维度的索引号的调整值与所述第一组矢量的矢量数量之间的乘积值。
  12. 根据权利要求1所述的方法,其中,所述信道状态信息还包括:第一数目指示符;其中,所述第一数目指示符用于指示第一系数中需要报告的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值,A为非负整数。
  13. 根据权利要求1所述的方法,其中,所述信道状态信息还包括:第一数目指示符;其中,所述第一数目指示符用于指示第一系数中非零值的系数的数目K,并用A个比特组成的域报告第一数目指示符,K为第一数目指示符的值加1;其中,第一数目指示符的值为A个比特组成的域的值,A为非负整数。
  14. 一种信息传输方法,应用于第二通信节点,包括:
    确定配置信息;
    将所述配置信息发送至第一通信节点,以使第一通信节点根据所述配置信息上报信道状态信息;
    其中,所述信道状态信息包括:预编码矩阵指示符;所述预编码矩阵指示 符包括:最强系数指示符;
    所述预编码矩阵指示符对应的预编码矩阵由第一系数和第一组矢量进行组合构成,或者,所述预编码矩阵指示符对应的预编码矩阵由第一系数、第一组矢量和第二组矢量进行组合构成;所述最强系数指示符用于指示所述第一系数中最强系数的索引号。
  15. 一种通信设备,包括:通信模块,存储器,以及至少一个处理器;
    所述通信模块,配置为在第一通信节点和第二通信节点之间进行通信交互;
    所述存储器,配置为存储至少一个程序;
    当所述至少一个程序被所述至少一个处理器执行,使得所述至少一个处理器实现如上述权利要求1-14中任一项所述的方法。
  16. 一种存储介质,所述存储介质存储有计算机程序,所述计算机程序被处理器执行时实现如上述权利要求1-14中任一项所述的方法。
PCT/CN2022/128287 2021-11-04 2022-10-28 信息传输方法、设备和存储介质 Ceased WO2023078176A1 (zh)

Priority Applications (5)

Application Number Priority Date Filing Date Title
CA3236517A CA3236517A1 (en) 2021-11-04 2022-10-28 Information transmission method, device, and storage medium
EP22889201.4A EP4395218A4 (en) 2021-11-04 2022-10-28 INFORMATION TRANSMISSION METHOD, DEVICE AND STORAGE MEDIUM
JP2024526662A JP7828447B2 (ja) 2021-11-04 2022-10-28 情報伝送方法、機器および記憶媒体
US18/694,165 US20240291541A1 (en) 2021-11-04 2022-10-28 Information transmission method, device, and storage medium
ZA2024/04338A ZA202404338B (en) 2021-11-04 2024-06-03 Information transmission method, device, and storage medium

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202111301957.6A CN115987466A (zh) 2021-11-04 2021-11-04 信息传输方法、设备和存储介质
CN202111301957.6 2021-11-04

Publications (1)

Publication Number Publication Date
WO2023078176A1 true WO2023078176A1 (zh) 2023-05-11

Family

ID=85968662

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/128287 Ceased WO2023078176A1 (zh) 2021-11-04 2022-10-28 信息传输方法、设备和存储介质

Country Status (7)

Country Link
US (1) US20240291541A1 (zh)
EP (1) EP4395218A4 (zh)
JP (1) JP7828447B2 (zh)
CN (1) CN115987466A (zh)
CA (1) CA3236517A1 (zh)
WO (1) WO2023078176A1 (zh)
ZA (1) ZA202404338B (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2026012144A1 (zh) * 2024-07-12 2026-01-15 华为技术有限公司 一种用于反馈预编码矩阵的通信方法及装置

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117955530A (zh) * 2023-07-24 2024-04-30 中兴通讯股份有限公司 预编码矩阵信息的传输方法、装置以及存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110535513A (zh) * 2018-11-02 2019-12-03 中兴通讯股份有限公司 一种csi反馈及接收方法、装置、存储介质
US20210175950A1 (en) * 2018-08-10 2021-06-10 Apple Inc. Beam combining based channel state information (csi) feedback
CN113039728A (zh) * 2018-11-15 2021-06-25 三星电子株式会社 无线通信系统中实现csi报告的方法和装置
CN113491074A (zh) * 2019-02-15 2021-10-08 中兴通讯股份有限公司 无线通信中的信道状态信息反馈

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2763471B1 (en) 2011-09-30 2018-07-04 Sharp Kabushiki Kaisha Terminal and communication method
CN106603136B (zh) * 2012-06-14 2022-08-19 华为技术有限公司 确定预编码矩阵指示的方法、用户设备、基站演进节点
CN109951220B (zh) * 2016-04-01 2020-03-10 华为技术有限公司 一种预编码矩阵指示的反馈方法及装置
CN116015378B (zh) * 2017-05-05 2026-05-12 中兴通讯股份有限公司 信道状态信息的反馈、接收方法及装置、设备、存储介质
US10868603B2 (en) * 2018-03-09 2020-12-15 Samsung Electronics Co., Ltd. Method and apparatus to enable CSI reporting based on space-frequency compression
US11128362B2 (en) 2019-03-11 2021-09-21 Samsung Electronics Co., Ltd. Method and apparatus for multiplexing and omitting channel state information
US11463142B2 (en) * 2019-09-06 2022-10-04 Samsung Electronics Co., Ltd. Method and apparatus for uplink control information omission
EP3855635A1 (en) * 2020-01-24 2021-07-28 FRAUNHOFER-GESELLSCHAFT zur Förderung der angewandten Forschung e.V. Csi reporting based on linear combination port-selection codebook
US12132545B2 (en) * 2020-02-12 2024-10-29 Apple Inc. Channel state information reporting

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210175950A1 (en) * 2018-08-10 2021-06-10 Apple Inc. Beam combining based channel state information (csi) feedback
CN110535513A (zh) * 2018-11-02 2019-12-03 中兴通讯股份有限公司 一种csi反馈及接收方法、装置、存储介质
CN113039728A (zh) * 2018-11-15 2021-06-25 三星电子株式会社 无线通信系统中实现csi报告的方法和装置
CN113491074A (zh) * 2019-02-15 2021-10-08 中兴通讯股份有限公司 无线通信中的信道状态信息反馈

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP4395218A4 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2026012144A1 (zh) * 2024-07-12 2026-01-15 华为技术有限公司 一种用于反馈预编码矩阵的通信方法及装置

Also Published As

Publication number Publication date
US20240291541A1 (en) 2024-08-29
CA3236517A1 (en) 2023-05-11
EP4395218A1 (en) 2024-07-03
JP2024537523A (ja) 2024-10-10
JP7828447B2 (ja) 2026-03-11
EP4395218A4 (en) 2025-08-20
ZA202404338B (en) 2025-03-26
CN115987466A (zh) 2023-04-18

Similar Documents

Publication Publication Date Title
WO2023078177A1 (zh) 信息传输方法、设备和存储介质
CN107181514B (zh) 一种csi反馈方法、预编码方法及装置
US20240080078A1 (en) Channel state information transmission method and apparatus, electronic device, and storage medium
WO2019149216A1 (zh) 上报信道状态信息csi的方法和装置
CN107181562A (zh) 一种csi反馈方法、预编码及装置
WO2023207518A1 (zh) 信道状态信息报告方法、信道状态信息接收方法、终端、基站和存储介质
JP7802827B2 (ja) チャネル状態情報伝送方法、装置、通信ノード及び記憶媒体
JP2020515094A (ja) 動的調整ビームセットを用いる伝送方法、基地局、及び端末
WO2023000816A1 (zh) 一种信道状态信息的传输方法、通信节点及存储介质
US20240291541A1 (en) Information transmission method, device, and storage medium
US12574144B2 (en) Channel state information reporting method, channel state information receiving method, communication node, and storage medium
US20240259066A1 (en) Channel state information reporting method, channel state information receiving method, communication node, and storage medium
WO2023050843A1 (zh) 信息报告、接收方法、设备和存储介质
CN120417058A (zh) 用于接收和发送信息的方法和设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22889201

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 18694165

Country of ref document: US

WWE Wipo information: entry into national phase

Ref document number: 2022889201

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2022889201

Country of ref document: EP

Effective date: 20240328

WWE Wipo information: entry into national phase

Ref document number: 3236517

Country of ref document: CA

ENP Entry into the national phase

Ref document number: 2024526662

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE