WO2023236535A1 - Procédé et appareil de formation de faisceau pour signal de référence d'informations d'état de canal (csi-rs), et support de stockage - Google Patents

Procédé et appareil de formation de faisceau pour signal de référence d'informations d'état de canal (csi-rs), et support de stockage Download PDF

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WO2023236535A1
WO2023236535A1 PCT/CN2023/070706 CN2023070706W WO2023236535A1 WO 2023236535 A1 WO2023236535 A1 WO 2023236535A1 CN 2023070706 W CN2023070706 W CN 2023070706W WO 2023236535 A1 WO2023236535 A1 WO 2023236535A1
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frequency domain
result
vector
csi
results
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PCT/CN2023/070706
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English (en)
Chinese (zh)
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王朝阳
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中兴通讯股份有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—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
    • 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
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • 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
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/086—Weighted combining using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present disclosure relates to the field of communications, and in particular, to a beamforming method, device and storage medium for a channel state reference signal.
  • the feedback of channel state information mainly relies on the channel estimation results of the channel state reference signal (Channel State Information-Reference Signal, CSI-RS).
  • the user terminal User Euipment, UE
  • RI Precoding Matrix Indicator
  • CQI Channel Quality Indicator
  • the base station performs resource allocation and beam management on each channel based on the above feedback information.
  • the present disclosure provides a beamforming method, device and storage medium for a channel state reference signal to solve the technical problem in some cases that it is difficult to meet the needs of downlink channel services by only forming optimization in the air domain.
  • the present disclosure provides a beamforming method for a channel state reference signal, which includes: determining a frequency domain shaping vector based on a frequency domain base vector; multiplying the CSI-RS to be transmitted and the frequency domain shaping vector to obtain The product result, where the product result is used to align the phase in the frequency domain corresponding to the maximum diameter timing advance TA to compensate the maximum diameter TA; the product result is multiplied by the spatial domain weight matrix to obtain the CSI-RS to be transmitted Perform beamforming.
  • the present disclosure provides a beamforming device for a channel state reference signal, including: a determination module for determining a frequency domain shaping vector based on a frequency domain base vector; a first processing module for converting the to-be-transmitted The CSI-RS is multiplied by the frequency domain shaping vector to obtain a product result, in which the product result is used to align the phases in the frequency domain corresponding to the maximum diameter timing advance TA to compensate for the maximum diameter TA; the second processing module uses The product result is multiplied by the spatial domain weight matrix to perform beamforming on the CSI-RS to be transmitted.
  • an electronic device including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus; the memory is used to store computer programs; and the processing The processor is used to implement the method steps of any embodiment of the first aspect when executing a program stored in the memory.
  • a fourth aspect provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method steps of any embodiment of the first aspect are implemented.
  • Figure 1 is a schematic flow chart of a CSI-RS beamforming method provided by the present disclosure
  • Figure 2 is a schematic structural diagram of a CSI-RS beamforming device provided by the present disclosure
  • Figure 3 is a schematic structural diagram of an electronic device provided by the present disclosure.
  • Figure 1 is a schematic flowchart of a CSI-RS beamforming method provided by the present disclosure. As shown in Figure 1, the steps of the method include steps 102 to 106.
  • Step 102 Determine the frequency domain shaping vector based on the frequency domain basis vector.
  • Step 104 Multiply the CSI-RS to be transmitted and the frequency domain shaping vector to obtain a product result. The product result is used to align the phase in the frequency domain corresponding to the maximum diameter timing advance TA to compensate for the maximum diameter TA.
  • Step 106 Multiply the product result with the spatial domain weight matrix to perform beamforming on the CSI-RS to be transmitted.
  • the CSI-RS and the frequency domain shaping vector can be multiplied first, and the product result can be used to align the phase in the frequency domain corresponding to the maximum diameter timing advance TA, so as to adjust the maximum diameter TA. compensation, and then multiplies the product result with the spatial domain weight matrix, realizing the use of the phase information of the uplink channel estimation result, constructing a matching frequency domain basis vector, completing the beamforming of CSI-RS, and realizing the
  • the phase pre-compensation of the maximum diameter TA in the frequency domain dimension on the base station side improves the accuracy of the base station's shaping and control of downlink services, thus improving the performance of the communication system and solving the difficulty of shaping optimization only in the air domain in some cases. Technical issues to meet the needs of downlink channel services.
  • the execution subject in this disclosure is a network-side device, such as a base station; therefore, after beamforming the CSI-RS to be transmitted, the base station can send the beamformed CSI-RS to the terminal.
  • the phase compensation is performed in the frequency domain by multiplying the CSI-RS by the frequency domain shaping vector at the transmitter, in the scenario where the channel condition is dominated by the LOS path, the signal received by the terminal has only a small TA, which can improve the CSIRS channel estimation.
  • the accuracy is improved, thereby improving the reliability of indicators such as RI, PMI, and CQI fed back from the terminal side to the base station.
  • the method of determining the frequency domain shaping vector based on the frequency domain base vector involved in the above step 102 may further include steps 11 to 14.
  • Step 11 Perform summation processing on the signal estimation matrices corresponding to the channel sounding reference signal SRS in the antenna dimension and port dimension respectively to obtain the summation result.
  • Step 12 Merge resource blocks RB on the summation results based on frequency domain granularity to obtain the first merging result.
  • Step 13 Perform inner product and modulus of the first combined result with each frequency domain basis vector to obtain multiple modulus results.
  • Step 14 Determine the frequency domain shaping vector based on the frequency domain basis vector corresponding to the maximum value among the multiple modular results.
  • the signal estimation matrix can be summed in the antenna dimension and port dimension respectively to obtain a more accurate combination in the antenna dimension and port dimension.
  • the combined result and each frequency domain basis vector are subsequently performed as an inner product and modulo is obtained to obtain multiple modulo results, and then the frequency domain is determined based on the frequency domain basis vector corresponding to the maximum value among the multiple modulo results.
  • the shaping vector, the determined frequency domain shaping vector is the optimal frequency domain shaping vector, that is, the frequency domain shaping vector has the highest phase matching degree with the channel estimation result to complete the CSI-RS beamforming , to achieve phase pre-compensation of the maximum diameter TA in the frequency domain dimension at the base station side.
  • the method of determining the frequency domain shaping vector based on the frequency domain basis vector corresponding to the maximum value among the multiple modeling results involved in the above step 14 may further include steps 21 and 22.
  • Step 21 Perform RB expansion on the frequency domain basis vector corresponding to the maximum value among the multiple modulo results.
  • Step 22 Determine the expanded frequency domain basis vector as a frequency domain shaping vector.
  • the frequency domain dimension K after the above-mentioned RB expansion of the frequency domain basis vector corresponding to the maximum value among the multiple modulo results is related to the bandwidth, which is the number of RBs.
  • the method of the present disclosure may further include step 31 before performing an inner product with each frequency domain basis vector on the first combined result and taking the modulo to obtain multiple modulo results.
  • Step 31 Generate frequency domain basis vectors equal to the number of angle division granularities based on the angle division granularity and the frequency domain granularity; wherein the angle division granularity is the number of equal shares of the preset angle.
  • the preset angle can be 2 ⁇ .
  • the method of performing summation processing on the signal estimation matrices corresponding to the SRS in the antenna dimension and the port dimension to obtain the summation result involved in the above step 11 may further include step 41 and Step 42.
  • Step 41 Merge the signal estimation matrices corresponding to the SRS in the antenna dimension to obtain a second merging result.
  • Step 42 Merge the second merging results in the port dimension to obtain a third merging result, where the third merging result is the summation result.
  • the signal estimation matrices are first combined in the antenna dimension, and then combined in the port dimension, so that the optimal frequency domain shaping vector can be found more accurately later.
  • the present disclosure will be illustrated below with reference to the specific implementation mode of the present disclosure.
  • the specific implementation mode provides a CSI-RS shaping optimization method. This method achieves by multiplying the base station originating CSI-RS signal by a frequency domain shaping vector. Phase compensation in the frequency domain, and then aligning the phases in the frequency domain corresponding to the maximum diameter TA, to achieve pre-compensation of the maximum diameter TA.
  • the shaped frequency domain data can be determined through the following expression:
  • y(f) is the CSI-RS after shaping
  • x(f) is the CSI-RS to be shaped
  • W is the spatial domain weight matrix
  • w opt is the frequency domain shaping vector.
  • the frequency domain shaping vector is the optimal frequency domain basis vector selected by finding the maximum value of the multiplication of the uplink srsH and all frequency domain basis vectors respectively.
  • the frequency domain basis vector is a vector with ⁇ as the granularity, equal phase intervals, and the dimension is the number of RBs (K); where ⁇ represents the frequency domain granularity, and the value is a positive integer. When it is 1, the frequency domain of the frequency domain basis vector The direction accuracy is divided into the finest.
  • the method steps of this specific embodiment include steps 201 to 211.
  • Step 201 Generate M frequency domain basis vectors w i according to the angular division granularity M and the frequency domain granularity ⁇ .
  • the frequency domain basis vector can be generated according to the following expression:
  • w is the frequency domain basis vector
  • l is the RB group index
  • K is the number of RBs
  • the angle division granularity M is defined as the fraction of the equal division angle 2 ⁇ . The larger the value of M, the smaller the angle 2 ⁇ is divided, and the higher the accuracy of frequency domain phase compensation.
  • the angle group ⁇ i is expressed as:
  • i is the angle index of the angle group
  • ⁇ i is the i-th angle
  • M frequency domain basis vector groups are expressed as:
  • w i is the i-th frequency domain basis vector.
  • Step 202 Combine the channel estimation matrices H SRS of SRS in the antenna dimension.
  • Step 203 Merge the results of step 202 in the port dimension.
  • SrsH is summed in the antenna and port dimensions respectively.
  • the dimension of SrsH is: number of RBs ⁇ number of antennas Rx ⁇ number of ports Tx. Expressed as:
  • H SRS [H 0 H 1 ... H K-1 ]
  • H of each RB is a matrix of Rx times Tx:
  • k is the RB index
  • Rx is the number of physical antennas
  • Tx is the number of antenna ports.
  • Step 204 Perform RB merging on the result of step 203 according to the frequency domain granularity ⁇ .
  • H is merged into RBs for each ⁇ , and the dimension is The result is recorded as:
  • Step 205 Make an inner product of the result of step 204 and the i-th frequency domain basis vector and record the result.
  • Step 206 The loop index value i is incremented by 1, and it is judged whether i is less than M. If the judgment result is yes, return to step 205; if the judgment result is no, execute step 207.
  • Step 207 Select the frequency domain basis vector corresponding to the maximum value of the modulus result as the optimal frequency domain basis vector.
  • Step 208 Perform RB expansion on the optimal frequency domain basis vector to obtain a frequency domain shaped vector, where the frequency domain dimension after expansion is K.
  • Step 209 The CSI-RS signal is multiplied by the frequency domain shaping vector to complete the pre-compensation of the maximum diameter TA in the frequency domain.
  • Step 210 Multiply the result of step 9 by the spatial domain weight matrix W to complete beamforming.
  • Step 211 Send the shaped CSI-RS.
  • the CSI-RS signal is multiplied by the frequency domain shaping vector at the transmitting end to perform phase compensation in the frequency domain.
  • the signal received by the terminal has only a small TA, which can improve the accuracy of CSI-RS channel estimation, thereby improving the reliability of the RI, PMI, CQI and other indicators fed back by the terminal side to the base station.
  • improves the accuracy of shaping and control of downlink services by the transmitter and improves the performance of the communication system.
  • the signal received by the terminal removes the influence of large TA, it can also make the terminal CSI-RS channel estimation algorithm More optimized.
  • the present disclosure also provides a CSI-RS beamforming device.
  • the device includes a determination module 22, a first processing module 24, and a second processing module 26.
  • the determination module 22 is used to determine the frequency domain shaping vector based on the frequency domain basis vector.
  • the first processing module 24 is used to multiply the CSI-RS to be transmitted and the frequency domain shaping vector to obtain a product result, where the product result is used to align the phase in the frequency domain corresponding to the maximum diameter timing advance TA, so as to The maximum diameter TA is compensated.
  • the second processing module 26 is used to multiply the product result by the spatial domain weight matrix to perform beamforming on the CSI-RS to be transmitted.
  • the CSI-RS can be multiplied by the frequency domain shaping vector first.
  • the product result can be used to align the phase in the frequency domain corresponding to the maximum diameter timing advance TA to compensate for the maximum diameter TA.
  • the phase pre-compensation of the maximum diameter TA in the frequency domain dimension improves the accuracy of the base station's shaping and control of downlink services, thereby improving the performance of the communication system and solving the problem of insufficiency of shaping optimization in the air domain in some cases.
  • the determination module 22 in the present disclosure may further include: a first processing unit configured to perform summation processing on the signal estimation matrix corresponding to the channel sounding reference signal SRS in the antenna dimension and the port dimension respectively, Obtain the summation result; the merging unit is used to merge the resource blocks RB of the summation result based on the frequency domain granularity to obtain the first merging result; the second processing unit is used to combine the first merging result with each frequency domain basis vector Do the inner product to obtain multiple modular results; the determination unit is used to determine the frequency domain shaping vector based on the frequency domain basis vector corresponding to the maximum value among the multiple modular results.
  • a first processing unit configured to perform summation processing on the signal estimation matrix corresponding to the channel sounding reference signal SRS in the antenna dimension and the port dimension respectively, Obtain the summation result
  • the merging unit is used to merge the resource blocks RB of the summation result based on the frequency domain granularity to obtain the first merging result
  • the second processing unit is used to combine the first merg
  • the determination unit in the present disclosure may further include: an expansion subunit, configured to perform RB expansion on the frequency domain basis vector corresponding to the maximum value in multiple modulo results; a determination subunit, configured to The expanded frequency domain basis vector is determined as the frequency domain shaping vector.
  • the device in the present disclosure may further include: a generating module, configured to perform an inner product on the first merging result with each frequency domain basis vector respectively to obtain multiple modulo results, based on the angle
  • the division granularity and frequency domain granularity generate frequency domain basis vectors equal to the number of angle division granularities; where the angle division granularity is the number of equal shares of the preset angle.
  • the first processing unit in the present disclosure may further include: a first merging sub-unit, used to merge the signal estimation matrix corresponding to the SRS in the antenna dimension to obtain a second merging result;
  • the merging subunit is used to merge the second merging results in the port dimension to obtain the third merging result, where the third merging result is the summation result.
  • the present disclosure provides an electronic device, including a processor 111, a communication interface 112, a memory 113, and a communication bus 114.
  • the processor 111, the communication interface 112, and the memory 113 complete interactions with each other through the communication bus 114.
  • the processor 111 is used to implement the CSI-RS beamforming method provided in any of the foregoing method embodiments when executing the program stored on the memory 113. Its function is also similar. Here No longer.
  • the present disclosure also provides a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor, the steps of the CSI-RS beamforming method as provided in any of the foregoing method embodiments are implemented.
  • the method provided by the present disclosure can first multiply the CSI-RS and the frequency domain shaping vector, and the product result can be configured to align the maximum diameter timing
  • the advance TA corresponds to the phase in the frequency domain to compensate for the maximum diameter TA, and then the product result is multiplied with the spatial domain weight matrix to realize the use of the phase information of the uplink channel estimation result to construct a matching frequency domain basis.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Radio Transmission System (AREA)

Abstract

La présente divulgation concerne un procédé et un appareil de formation de faisceau pour un CSI-RS, ainsi qu'un support de stockage. Le procédé consiste à : déterminer un vecteur de formation de domaine fréquentiel d'après un vecteur de base de domaine fréquentiel ; multiplier, par le vecteur de formation de domaine fréquentiel, un CSI-RS à transmettre afin d'obtenir un résultat de produit, le résultat de produit servant à aligner une phase dans un domaine fréquentiel correspondant à l'avance temporelle de trajet maximale (TA) de façon à compenser la TA de trajet maximale ; et multiplier le résultat de produit par une matrice de poids de domaine spatial de façon à effectuer une formation de faisceau sur ledit CSI-RS.
PCT/CN2023/070706 2022-06-10 2023-01-05 Procédé et appareil de formation de faisceau pour signal de référence d'informations d'état de canal (csi-rs), et support de stockage WO2023236535A1 (fr)

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CN202210657932.8A CN117254839A (zh) 2022-06-10 2022-06-10 信道状态参考信号的波束赋形方法、装置及存储介质
CN202210657932.8 2022-06-10

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110535514A (zh) * 2019-03-28 2019-12-03 中兴通讯股份有限公司 信道状态信息反馈方法、装置及终端设备
CN113131978A (zh) * 2019-12-30 2021-07-16 大唐移动通信设备有限公司 一种基于信道互易性的预编码矩阵配置方法及装置
US20210320694A1 (en) * 2018-12-18 2021-10-14 Huawei Technologies Co., Ltd. Channel Measurement Method And Communications Apparatus
WO2021203373A1 (fr) * 2020-04-09 2021-10-14 华为技术有限公司 Procédé de mesure de canal et appareil de communication
WO2022025519A1 (fr) * 2020-07-28 2022-02-03 엘지전자 주식회사 Procédé et appareil de transmission ou de réception d'informations d'état de canal dans un système de communication sans fil
CN114375041A (zh) * 2020-10-15 2022-04-19 北京紫光展锐通信技术有限公司 信号处理方法及装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210320694A1 (en) * 2018-12-18 2021-10-14 Huawei Technologies Co., Ltd. Channel Measurement Method And Communications Apparatus
CN110535514A (zh) * 2019-03-28 2019-12-03 中兴通讯股份有限公司 信道状态信息反馈方法、装置及终端设备
CN113131978A (zh) * 2019-12-30 2021-07-16 大唐移动通信设备有限公司 一种基于信道互易性的预编码矩阵配置方法及装置
WO2021203373A1 (fr) * 2020-04-09 2021-10-14 华为技术有限公司 Procédé de mesure de canal et appareil de communication
WO2022025519A1 (fr) * 2020-07-28 2022-02-03 엘지전자 주식회사 Procédé et appareil de transmission ou de réception d'informations d'état de canal dans un système de communication sans fil
CN114375041A (zh) * 2020-10-15 2022-04-19 北京紫光展锐通信技术有限公司 信号处理方法及装置

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