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WO2015135489A1 - Dispositif et procédé de mesure d'indice de matrice de précodage - Google Patents

Dispositif et procédé de mesure d'indice de matrice de précodage Download PDF

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Publication number
WO2015135489A1
WO2015135489A1 PCT/CN2015/074111 CN2015074111W WO2015135489A1 WO 2015135489 A1 WO2015135489 A1 WO 2015135489A1 CN 2015074111 W CN2015074111 W CN 2015074111W WO 2015135489 A1 WO2015135489 A1 WO 2015135489A1
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WIPO (PCT)
Prior art keywords
transmission mode
base station
matrix
vector
quantization error
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Ceased
Application number
PCT/CN2015/074111
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English (en)
Chinese (zh)
Inventor
夏欣
徐剑标
夏林峰
张哲�
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0452—Multi-user MIMO systems
    • 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
    • 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
    • H04B7/0617—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 for beam forming
    • 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

Definitions

  • the embodiments of the present invention relate to the field of communications technologies, and in particular, to a precoding matrix index measuring apparatus and method.
  • the downlink needs to support the multi-user multiple input multiple output (MU-MIMO) transmission mode and the single user multiple input multiple output (Single User Multiple Input). Multiple Output (SU-MIMO) transmission mode, where the MU-MIMO transmission mode is an important feature of downlink transmission in a multi-antenna system.
  • MU-MIMO multi-user multiple input multiple output
  • SU-MIMO Single User Multiple Input
  • Multiple Output (SU-MIMO) transmission mode where the MU-MIMO transmission mode is an important feature of downlink transmission in a multi-antenna system.
  • PMI Precoding Matrix Index
  • eNB evolved NodeB
  • the eNB is enabled to accurately calculate the transmit beam weights of the respective data streams, thereby reducing interference between UEs and improving UE performance.
  • the following scheme is uniformly used to determine the PMI: first, perform a singular value decomposition operation on the channel matrix to generate a beamforming matrix, and calculate the beamforming matrix.
  • the inner product of the first column vector and each codebook vector in the codebook determines the codebook vector corresponding to the inner product with the largest value, and reports the sequence number of the codebook vector corresponding to the inner product with the largest value as the PMI.
  • the eNB because the quantization error of the PMI determined by the scheme is large, serious inter-UE interference is caused when the UE is in the MU-MIMO transmission mode, and the UE performance is significantly deteriorated.
  • Embodiments of the present invention provide a precoding matrix index measuring apparatus and method for calculating signals and signals in a case where it is determined that a current transmission mode is a MU-MIMO transmission mode.
  • the ratio of the quantization error of the track matrix to the noise, and the precoding matrix index PMI reported to the base station is determined according to the ratio, thereby solving the problem that the UE is in the MU-MIMO transmission mode, causing serious inter-UE interference and significantly degrading the UE performance.
  • the interference between UEs in the MU-MIMO transmission mode of the UE is reduced, and the performance of the UE is improved.
  • an embodiment of the present invention provides a precoding matrix index measuring apparatus, including:
  • a first determining module configured to determine whether the current transmission mode is a multi-user multiple input multiple output MU-MIMO transmission mode
  • a calculating module configured to calculate a ratio of a quantization error and a noise of the signal to the channel matrix, if the first determining module determines that the current transmission mode is the MU-MIMO transmission mode;
  • a second determining module configured to determine a precoding matrix index PMI reported to the base station according to the ratio of the quantization error and the noise of the signal calculated by the calculating module to the channel matrix, so that the base station calculates according to the PMI Transmitting beam weights and weighting the transmit beam weights onto the data stream for transmission.
  • the calculating module is specifically configured to determine, according to the channel matrix H, an orthogonal basis vector set of a column vector space of the transposed matrix of the H,
  • the i-th vector in the set of the basis vector is represented as q i
  • the H is an M ⁇ N-dimensional channel matrix
  • M represents the number of receiving antennas
  • N represents the number of transmitting antennas
  • 1 ⁇ i ⁇ min(M,N),min( M, N) represents the minimum value in M and N
  • the matrix Q is determined according to min(M, N) vectors in the orthogonal basis vector set
  • the second determining module is specifically configured to use the j-th signal calculated according to the calculating module a ratio SQENR j of the quantization error of the H corresponding to c j , determining a maximum value of the maximum value max(SQENR j ); determining a number of the B codebook vectors corresponding to the max(SQENR j ) The sequence number j of j codebook vectors, and the j is reported to the PMI of the base station.
  • the calculating module is further configured to obtain, according to the calculation The ratio of the quantization error and the noise of the signal to the channel matrix, after determining the precoding matrix index PMI reported to the base station, according to the Calculating, by the receiving base station, a reception combining vector m j required by the base station to transmit the data stream weighted by the transmit beam weight, where H H is the conjugate transposed matrix of H , and (HH H ) -1 is an inverse matrix of (HH H ), for a conjugate transposed matrix; performing MIMO decoding on the received data stream weighted by the base station and using the transmit beam weight according to the calculated m j .
  • the determining module is specifically configured to send according to the received base station
  • the instruction information determines whether the current transmission mode is the MU-MIMO transmission mode, or determines whether the current transmission mode is the MU-MIMO transmission mode according to the detection algorithm.
  • an embodiment of the present invention provides a precoding matrix index measurement method, including:
  • the current transmission mode is the MU-MIMO transmission mode, calculating a ratio of quantization error and noise of the signal to the channel matrix;
  • the ratio of the quantization error and the noise of the calculated signal to the channel matrix includes:
  • the And said the QE j calculating a ratio SQENR j and j-th signal corresponding to the C j H quantization error and noise, wherein, ⁇ 2 is the noise of the receiving antenna.
  • determining, according to the calculated ratio of the quantization error and the noise of the signal and the channel matrix, the precoding matrix index PMI reported to the base station including:
  • any one of the first to the second possible implementation manners of the second aspect, in the third possible implementation, the calculating the signal and the channel matrix The ratio of the quantization error to the noise, after determining the precoding matrix index PMI reported to the base station, further includes:
  • the MU-MIMO transmission mode includes:
  • the current transmission mode is the MU-MIMO transmission mode.
  • a precoding matrix index measuring apparatus and method by determining a current transmission Whether the transmission mode is a multi-user MIMO-MIMO transmission mode, and when determining that the current transmission mode is the MU-MIMO transmission mode, calculating a ratio of quantization error and noise of the signal to the channel matrix, and determining the report according to the ratio
  • the precoding matrix of the base station indexes the PMI, so that the accurate PMI can be determined to be reported to the base station, so that the base station can calculate the accurate transmit beam weight and weight the transmit beam weight to the data stream, thereby reducing the UE in the MU- Inter-UE interference in MIMO transmission mode improves UE performance.
  • FIG. 1 is a schematic structural diagram of a precoding matrix index measuring apparatus 100 according to Embodiment 1 of the present invention
  • FIG. 2 is a schematic structural diagram of a precoding matrix index measuring apparatus 200 according to Embodiment 2 of the present invention.
  • FIG. 3 is a flowchart of a precoding matrix index measurement method according to Embodiment 3 of the present invention.
  • FIG. 4 is a flowchart of a precoding matrix index measurement method according to Embodiment 4 of the present invention.
  • FIG. 1 is a schematic structural diagram of a precoding matrix index measuring apparatus 100 according to Embodiment 1 of the present invention.
  • the device in this embodiment is applicable to the case where the UE can report the accurate PMI to the base station, and the base station calculates the accurate transmit beam weight according to the PMI reported by the UE and weights the transmit beam weight to the data stream for transmission.
  • the device is typically implemented in hardware and/or software.
  • the apparatus of this embodiment includes the following modules: a first determining module 110, a calculating module 120, and a second determining module 130.
  • the first determining module 110 is configured to determine whether the current transmission mode is a multi-user multiple-input multiple-output MU-MIMO transmission mode; and the calculating module 120 is configured to: if the first determining module 110 determines that the current transmission mode is the MU-MIMO transmission mode, Calculating a ratio of quantization error and noise of the signal to the channel matrix; the second determining module 130 is configured to determine a precoding matrix index PMI reported to the base station according to a ratio of a quantization error and a noise of the signal calculated by the calculation module 120 to the channel matrix, So that the base station calculates the transmit beam weight according to the PMI and weights the transmit beam weight to the data stream for transmission.
  • the existing PMI measurement algorithm is mainly based on the assumption that the UE only performs the SU-MIMO transmission mode.
  • the selection codebook is mainly aimed at maximizing the capacity of the UE itself, and does not consider the PMI required by the evolved base station in the case where the UE is in the MU-MIMO transmission mode.
  • the quantization error of the PMI except for the energy projection loss, will only cause inter-stream interference within a single UE, and the interference can be received at the receiving end of the UE. reduce.
  • the precoding matrix index measuring apparatus determines whether the current transmission mode is a multi-user multiple-input multiple-output MU-MIMO transmission mode, and calculates a signal when determining that the current transmission mode is the MU-MIMO transmission mode.
  • the transmit beam weights are weighted to transmit on the data stream, thus reducing interference between UEs when the UE is in the MU-MIMO transmission mode, and improving UE performance.
  • the precoding matrix index measuring apparatus determines whether the current transmission mode is a multi-user multiple input multiple output MU-MIMO transmission mode, and calculates a signal and a channel when determining that the current transmission mode is a MU-MIMO transmission mode.
  • the transmit beam weight is weighted to transmit on the data stream, thereby reducing interference between UEs when the UE is in the MU-MIMO transmission mode, and improving UE performance.
  • the calculation module 120 is specifically configured to determine, according to the channel matrix H, an orthogonal basis vector set of the column vector space of the transposed matrix of H, and an ith vector of the orthogonal base vector set.
  • H is an M ⁇ N-dimensional channel matrix
  • M represents the number of receiving antennas
  • N represents the number of transmitting antennas
  • 1 ⁇ i ⁇ min(M,N) represents the values in M and N.
  • the second determining module 130 configured according to a ratio SQENR j quantization error and noise calculation module 120 calculates the j-th signal obtained with the corresponding C j H, and the maximum value is determined The ratio max(SQENR j ); determines the sequence number j of the jth codebook vector in the B codebook vectors corresponding to max(SQENR j ), and uses j as the PMI reported to the base station.
  • the value of SQENR j is the largest, that is, the value of SQENR 3 is the largest, that is, the sequence number 3 of the third codebook vector in the B codebook vectors is reported as The PMI to the base station.
  • the calculating module 120 is further configured to: after determining the precoding matrix index PMI reported to the base station according to the ratio of the calculated signal to the quantization error of the channel matrix and the noise, according to Calculating a reception combining vector m j required by the receiving base station to receive the data stream weighted by the transmit beam weight, where H H is the conjugate transposed matrix of H , and (HH H ) -1 is the inverse matrix of (HH H ). for The conjugate transposed matrix; according to the calculated m j , performs MIMO decoding on the data stream that is transmitted by the receiving base station and weighted by the transmit beam weight.
  • the determining module 110 is specifically configured to determine, according to the received instruction information sent by the base station, whether the current transmission mode is a MU-MIMO transmission mode, or determine whether the current transmission mode is determined according to the detection algorithm. It is the MU-MIMO transmission mode.
  • FIG. 2 is a schematic structural diagram of a precoding matrix index measuring apparatus 200 according to Embodiment 2 of the present invention.
  • the apparatus of this embodiment includes: a first processor 210 and a second processor 220.
  • the first processor 210 is configured to determine whether the current transmission mode is a multi-user multiple input multiple output MU-MIMO transmission mode; if it is determined that the current transmission mode is the MU-MIMO transmission mode, the quantization error and noise of the signal and the channel matrix are calculated.
  • the second processor 220 is configured to determine, according to the ratio of the quantization error and the noise of the signal calculated by the first processor 210 and the channel matrix, the precoding matrix index PMI reported to the base station, so that the base station calculates the transmit beam according to the PMI. The weights are weighted and transmitted to the data stream for transmission.
  • the existing PMI measurement algorithm is mainly based on the assumption that the UE only performs the SU-MIMO transmission mode.
  • the selection codebook is mainly aimed at maximizing the capacity of the UE itself, and does not consider the PMI required by the evolved base station in the case where the UE is in the MU-MIMO transmission mode.
  • the quantization error of the PMI except for the energy projection loss, will only cause inter-stream interference within a single UE, and the interference can be received at the receiving end of the UE. reduce.
  • the quantization error of the PMI will cause serious inter-user interference, which is difficult to suppress at the UE receiving end.
  • the precoding matrix index measuring apparatus determines whether the current transmission mode is a multi-user multiple-input multiple-output MU-MIMO transmission mode, and calculates a signal when determining that the current transmission mode is the MU-MIMO transmission mode.
  • the transmit beam weights are weighted to transmit on the data stream, thus reducing interference between UEs when the UE is in the MU-MIMO transmission mode, and improving UE performance.
  • the precoding matrix index measuring apparatus determines whether the current transmission mode is a multi-user multiple input multiple output MU-MIMO transmission mode, and calculates a signal and a channel when determining that the current transmission mode is a MU-MIMO transmission mode.
  • the weight is weighted to transmit on the data stream, thus reducing interference between UEs when the UE is in the MU-MIMO transmission mode, and improving the performance of the UE.
  • the first processor 210 is specifically configured to determine, according to the channel matrix H, an orthogonal basis vector set of the column vector space of the transposed matrix of H, and the i-th set of the orthogonal basis vector set.
  • the vector is represented as q i , H is the M ⁇ N-dimensional channel matrix, M represents the number of receiving antennas, N represents the number of transmitting antennas, 1 ⁇ i ⁇ min (M, N), and min (M, N) represents M and N
  • the minimum value in the matrix; according to the min(M,N) vectors in the orthogonal basis vector set, determine the matrix Q, Q is the N ⁇ min(M,N) dimensional matrix; according to the B codebook vectors in the codebook set Projection of the column vector space of the transposed matrix of the jth codebook vector c j to H, determining the direction vector of the equivalent channel with the smallest quantization error corresponding to c j And c j with Quantization error QE j , where QE j 1-
  • the second processor 220 is specifically configured according to a ratio SQENR j quantization error and noise of the first processor 210 of the j-th calculated signals corresponding to C j H determined taking the ratio of the maximum value max (SQENR j); determining max (SQENR j) corresponding to the codebook vectors in B j-th code vector of the present number j, j and reported as the PMI to the base station.
  • SQENR j max the maximum value max
  • the value of SQENR j is the largest, that is, the value of SQENR 3 is the largest, that is, the sequence number 3 of the third codebook vector in the B codebook vectors is reported as The PMI to the base station.
  • the first processor 210 is further configured to: after determining the precoding matrix index PMI reported to the base station according to the ratio of the calculated signal to the quantization error of the channel matrix and the noise, according to Calculating a reception combining vector m j required by the receiving base station to receive the data stream weighted by the transmit beam weight, where H H is the conjugate transposed matrix of H , and (HH H ) -1 is the inverse matrix of (HH H ). for The conjugate transposed matrix; according to the calculated m j , performs MIMO decoding on the data stream that is transmitted by the receiving base station and weighted by the transmit beam weight.
  • the first processor 210 is specifically configured to determine, according to the received instruction information sent by the base station, whether the current transmission mode is a MU-MIMO transmission mode, or determine a current transmission according to the detection algorithm. Whether the mode is the MU-MIMO transmission mode.
  • FIG. 3 is a flowchart of a precoding matrix index measurement method according to Embodiment 3 of the present invention.
  • the method in this embodiment is applicable to the UE being able to report an accurate PMI to the base station, so that the base station is configured according to the UE.
  • the reported PMI calculates the exact transmit beam weight and weights the transmit beam weights onto the data stream for transmission.
  • the method is performed by a precoding matrix index measuring device, which is typically implemented in hardware and/or software. Referring to FIG. 3, the method of this embodiment includes the following steps:
  • the current transmission mode is the MU-MIMO transmission mode
  • the existing PMI measurement algorithm is mainly based on the assumption that the UE only performs the SU-MIMO transmission mode.
  • the selection codebook is mainly aimed at maximizing the capacity of the UE itself, and does not consider the PMI required by the evolved base station in the case where the UE is in the MU-MIMO transmission mode.
  • the quantization error of the PMI except for the energy projection loss, will only cause inter-stream interference within a single UE, and the interference can be received at the receiving end of the UE. reduce.
  • the precoding matrix index measurement method determines whether the current transmission mode is a multi-user multiple-input multiple-out MU-MIMO transmission mode, and calculates a signal when determining that the current transmission mode is the MU-MIMO transmission mode.
  • the transmit beam weights are weighted to transmit on the data stream, thus reducing interference between UEs when the UE is in the MU-MIMO transmission mode, and improving UE performance.
  • the current transmission mode is a multi-user multiple input and multiple MU-MIMO transmission mode
  • determining whether the current transmission mode is the MU-MIMO transmission mode when determining that the current transmission mode is the MU-MIMO transmission mode, calculating a ratio of quantization error and noise of the signal to the channel matrix, And determining, according to the ratio, the precoding matrix index PMI reported to the base station, so that the accurate PMI can be determined and reported to the base station, Enabling the base station to calculate an accurate transmit beam weight and weight the transmit beam weight to the data stream for transmission
  • the precoding matrix index measurement method determines whether the current transmission mode is a multi-user multiple-input multiple-out MU-MIMO transmission mode, and calculates a signal and a channel when determining that the current transmission mode is a MU-MIMO transmission mode.
  • the weight is weighted to transmit on the data stream, thus reducing interference between UEs when the UE is in the MU-MIMO transmission mode, and improving the performance of the UE.
  • FIG. 4 is a flowchart of a precoding matrix index measurement method according to Embodiment 4 of the present invention. Referring to FIG. 4, the method in this embodiment may include:
  • determining whether the current transmission mode is the MU-MIMO transmission mode can be implemented as follows:
  • the i-th vector in the orthogonal basis vector set is represented as q i
  • H is an M ⁇ N-dimensional channel matrix
  • M represents the number of receiving antennas
  • N represents the number of transmitting antennas
  • min(M, N) represents the minimum value in M and N.
  • QE j 1-
  • , c j is an N ⁇ 1 dimensional vector
  • Q H is a conjugate transposed matrix of Q
  • j is an integer greater than or equal to 1 and less than or equal to B
  • B is the number of codebook vectors in the codebook set.
  • ⁇ 2 is the noise of the receiving antenna.
  • the value of SQENR j is the largest, that is, the value of SQENR 3 is the largest, that is, the sequence number 3 of the third codebook vector in the B codebook vectors is reported as The PMI to the base station.
  • H H is the conjugate transposed matrix of H
  • (HH H ) -1 is the inverse matrix of (HH H ). for Conjugate transposed matrix.
  • S490 Perform MIMO decoding on the data stream that is sent by the receiving base station and weighted by the transmit beam weight according to the calculated m j .
  • the precoding matrix index measurement method determines whether the current transmission mode is a multi-user multiple input multiple output MU-MIMO transmission mode, and determines the jth when determining that the current transmission mode is the MU-MIMO transmission mode.
  • Reference signal C j corresponding to H of the quantization error and noise ratio, and taking the maximum ratio corresponding to B codebook vector j-th codebook vector j as reported to the precoding matrix index PMI base station, thereby
  • the accurate PMI can be determined to be reported to the base station, so that the base station can calculate the accurate transmit beam weight and weight the transmit beam weight to the data stream, thereby reducing the inter-UE interference when the UE is in the MU-MIMO transmission mode.
  • the aforementioned program can be stored in a computer readable storage medium.
  • the program when executed, performs the steps including the foregoing method embodiments; and the foregoing storage medium includes various media that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • Mathematical Physics (AREA)
  • Mobile Radio Communication Systems (AREA)
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Abstract

Des modes de réalisation de la présente invention concernent un dispositif et un procédé de mesure d'un indice de matrice de précodage. Le procédé de mesure d'indice de matrice de précodage selon la présente invention comprend les étapes consistant : à déterminer si un mode de transmission courant est un mode de transmission entrée multiple sortie multiple multi-utilisateurs (MU-MIMO) ; s'il est déterminé que le mode de transmission courant est le mode de transmission MU-MIMO, à calculer des rapports signal sur erreur de quantification et bruit d'une matrice de canal ; et à déterminer un indice de matrice de précodage (PMI) à rapporter à une station de base en fonction des rapports calculés signal sur erreur de quantification et bruit de la matrice de canal, de manière que la station de base calcule un poids de faisceau d'émission en fonction du PMI et ajoute le poids de faisceau d'émission à un flux de données à transmettre. En raison du fait qu'un PMI plus précis est rapporté à la station de base, la station de base peut calculer un poids de faisceau d'émission précis en fonction du PMI, de manière à réduire un brouillage entre équipements utilisateur (UE) quand les UE sont dans le mode de transmission MU-MIMO, et à améliorer les performances des UE.
PCT/CN2015/074111 2014-03-14 2015-03-12 Dispositif et procédé de mesure d'indice de matrice de précodage Ceased WO2015135489A1 (fr)

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WO2023061221A1 (fr) * 2021-10-15 2023-04-20 中兴通讯股份有限公司 Procédé et appareil d'acquisition d'informations d'état de canal, terminal, dispositif électronique, et support de stockage lisible par ordinateur
CN115801506A (zh) * 2023-02-10 2023-03-14 深圳国人无线通信有限公司 5g小基站设备计算tpmi和ri的方法和装置
CN115801506B (zh) * 2023-02-10 2023-04-14 深圳国人无线通信有限公司 5g小基站设备计算tpmi和ri的方法和装置

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