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WO2023236535A1 - 信道状态参考信号的波束赋形方法、装置及存储介质 - Google Patents

信道状态参考信号的波束赋形方法、装置及存储介质 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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French (fr)
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王朝阳
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ZTE Corp
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ZTE Corp
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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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Abstract

本公开涉及一种信道状态参考信号的波束赋形方法、装置及存储介质，其中，该方法包括：基于频域基矢量确定频域赋形矢量；将待传输的CSI-RS与频域赋形矢量相乘得到乘积结果，其中，乘积结果用于拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿；将乘积结果与空域权值矩阵相乘，以对待传输的CSI-RS进行波束赋形。

Description

信道状态参考信号的波束赋形方法、装置及存储介质
相关申请的交叉引用
本公开要求享有2022年06月10日提交的名称为“信道状态参考信号的波束赋形方法、装置及存储介质”的中国专利申请CN202210657932.8的优先权，其全部内容通过引用并入本公开中。
技术领域
本公开涉及通信领域，尤其涉及一种信道状态参考信号的波束赋形方法、装置及存储介质。
背景技术
在无线通信系统中，信道状态信息(Channel State Information，CSI)的反馈主要依靠信道状态参考信号(Channel State Information-Reference Signal，CSI-RS)的信道估计结果。用户终端(User Euipment，UE)通过无线信令获取CSI-RS配置，指示其在对应的CSI-RS资源位置进行信道质量估计，并根据信道估计的结果来选择最优的秩指示(Rank Indicator，RI)、预编码矩阵指示(Precoding Matrix Indicator，PMI)、信道质量指示(Channel Quality Indicator，CQI)反馈至基站(Base Station，BS)。基站依据上述的反馈信息对各信道进行资源分配及波束管理。因此，更准确的CSI-RS信道估计结果直接影响UE反馈给基站的信道信息指标的精度，使基站可以获取到精度更高的反馈信息，进而提高资源分配与波束管理的可靠度，提升通信系统的整体性能。
在提升CSI-RS信道估计精准度的现有研究中，存在仅在空域上的赋形优化难以满足下行信道业务的需求的技术问题。
发明内容
本公开提供了一种信道状态参考信号的波束赋形方法、装置及存储介质，以解决一些情形中仅在空域上的赋形优化难以满足下行信道业务的需求的技术问题。
第一方面，本公开提供了一种信道状态参考信号的波束赋形方法，包括：基于频域基矢量确定频域赋形矢量；将待传输的CSI-RS与频域赋形矢量相乘得到乘积结果，其中，乘积结果用于拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿；将乘积结 果与空域权值矩阵相乘，以对待传输的CSI-RS进行波束赋形。
第二方面，本公开提供了一种信道状态参考信号的波束赋形装置，包括：确定模块，用于基于频域基矢量确定频域赋形矢量；第一处理模块，用于将待传输的CSI-RS与频域赋形矢量相乘得到乘积结果，其中，乘积结果用于拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿；第二处理模块，用于将乘积结果与空域权值矩阵相乘，以对待传输的CSI-RS进行波束赋形。
第三方面，提供了一种电子设备，包括处理器、通信接口、存储器和通信总线，其中，处理器，通信接口，存储器通过通信总线完成相互间的通信；存储器，用于存放计算机程序；处理器，用于执行存储器上所存放的程序时，实现第一方面任一项实施例的方法步骤。
第四方面，提供了一种计算机可读存储介质，其上存储有计算机程序，该计算机程序被处理器执行时实现如第一方面任一项实施例的方法步骤。
附图说明
此处的附图被并入说明书中并构成本公开的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。
为了更清楚地说明本公开或一些情形中的技术方案，下面将对实施例或一些情形中所需要使用的附图作简单地介绍，显而易见地，对于本领域普通技术人员而言，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本公开提供的一种CSI-RS的波束赋形方法的流程示意图；
图2为本公开提供的一种CSI-RS的波束赋形装置的结构示意图；
图3为本公开提供的一种电子设备的结构示意图。
具体实施方式
为使本公开的目的、技术方案和优点更加清楚，下面将结合本公开中的附图，对本公开中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本公开的一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动的前提下所获得的所有其他实施例，都属于本公开保护的范围。
图1为本公开提供的一种CSI-RS的波束赋形方法的流程示意图，如图1所示，该方法的步骤包括步骤102至步骤106。
步骤102，基于频域基矢量确定频域赋形矢量。步骤104，将待传输的CSI-RS与频域赋形矢量相乘得到乘积结果，其中，乘积结果用于拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿。步骤106，将乘积结果与空域权值矩阵相乘，以对待传输的CSI-RS进行波束赋形。
通过上述步骤102至步骤106，可以先将CSI-RS与频域赋形矢量相乘，该乘积结果能够用于拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿，进而将该乘积结果与空域权值矩阵相乘，实现了利用上行信道估计结果的相位信息，构造与之匹配的频域基矢量，完成了对CSI-RS的波束赋形，实现了在基站侧对频域维度最大径TA的相位预补，提升了基站对下行业务的赋形、控制的精准程度，从而提升了通信系统性能，解决了一些情形中仅在空域上的赋形优化难以满足下行信道业务的需求的技术问题。
需要说明的是，本公开中的执行主体为网络侧设备，例如基站；因此，在对待传输的CSI-RS进行波束赋形后，基站可以将进行波束赋形后的CSI-RS发送给终端。由于通过在发端对CSI-RS乘以频域赋形矢量对频域进行相位补偿，因此在信道条件LOS径占优的场景下，终端接收到的信号只有很小的TA，可以提高CSIRS信道估计的准确度，进而提高终端侧反馈给基站RI、PMI、CQI等指标的可靠度。
在本公开中对于上述步骤102中涉及到的基于频域基矢量确定频域赋形矢量的方式，进一步可以包括步骤11至步骤14。
步骤11，对与信道探测参考信号SRS对应的信号估计矩阵分别在天线维度和端口维度进行求和处理，得到求和结果。步骤12，基于频域粒度对求和结果进行资源块RB合并，得到第一合并结果。步骤13，将第一合并结果分别与每一个频域基矢量做内积并求模，得到多个求模结果。步骤14，基于多个求模结果中最大值所对应的频域基矢量确定频域赋形矢量。
通过上述步骤11至步骤14，为了能够进一步提升信道估计的准确度，可以先将信号估计矩阵分别在天线维度和端口维度进行求和处理，得到在天线维度和端口维度上的更为精准的合并结果，从而在后续将该合并结果与每一个频域基矢量做内积并求模，得到多个求模结果，进而基于多个求模结果中最大值所对应的频域基矢量确定频域赋形矢量，该确定的频域赋形矢量为最优的频域赋形矢量，即该频域赋形矢量为与信道估计结果的相位匹配度最高的，以完成CSI-RS的波束赋形，实现在基站侧频域维度最大径TA的相位预补偿。
在一示例性实施例中，对于上述步骤14中涉及到的基于多个求模结果中最大值所对应的 频域基矢量确定频域赋形矢量的方式，进一步可以包括步骤21和步骤22。
步骤21，对多个求模结果中最大值所对应的频域基矢量进行RB扩展。步骤22，将扩展后的频域基矢量确定为频域赋形矢量。
需要说明的是，上述对多个求模结果中最大值所对应的频域基矢量进行RB扩展之后的频域维度K与带宽相关，即为RB的数量。
在本公开的可选实施方式中，在将第一合并结果分别与每一个频域基矢量做内积并求模，得到多个求模结果之前，本公开的方法还可以包括步骤31。
步骤31，基于角度划分粒度与频域粒度生成与角度划分粒度数量相等的频域基矢量；其中，角度划分粒度为均分预设角度的份数。
其中，该预设角度可以2π，角度划分粒度的取值越大表明将角度2π划分的更细，频域相位补偿的精度就越高。
在本公开的一个实施方式中，对于上述步骤11中涉及到的对与SRS对应的信号估计矩阵分别在天线维度和端口维度进行求和处理，得到求和结果的方式，进一步可以包括步骤41和步骤42。
步骤41，对与SRS对应的信号估计矩阵在天线维度进行合并，得到第二合并结果。步骤42，对第二合并结果在端口维度进行合并，得到第三合并结果，其中，第三合并结果为求和结果。
也就是说，在本公开中先将信号估计矩阵在天线维度进行合并，然后再在端口维度进行合并，以便后续能够更加准确的找到最优的频域赋形矢量。
下面结合本公开的具体实施方式对本公开进行举例说明，该具体实施方式提供了一种CSI-RS的赋形优化方法，该方法通过对基站发端CSI-RS信号乘一个频域赋形矢量，实现在频域的相位补偿，进而拉齐最大径TA对应频域上的相位，实现最大径TA的预补偿，具体可以通过如下表达式确定经过赋形的频域数据：
y(f)＝Ww optx(f)
其中，y(f)为经过赋形后CSI-RS，x(f)为待赋形的CSI-RS，W为空域权值矩阵，w opt为频域赋形矢量。
此外，频域赋形矢量是通过求上行srsH分别与所有频域基矢量相乘最大值的方式来选出的最优频域基矢量。而频域基矢量是以ρ为粒度,等相位间隔的，维度为RB数(K)的向量；其中ρ表示频域粒度，取值为正整数，当取1时频域基矢量的频域方向精度划分最细。该具体实施例的方法步骤包括步骤201至步骤211。
步骤201，根据角度划分粒度M与频域粒度ρ生成M个频域基矢量w i。
其中，可以根据如下表达式生成频域基矢量：
Figure PCTCN2023070706-appb-000001
其中，w为频域基矢量，l为RB组索引，K为RB数；
定义角度划分粒度M为均分角度2π的份数。M取值越大表明将角度2π划分的更细，频域相位补偿的精度就越高。角度组θ i表示为:
Figure PCTCN2023070706-appb-000002
其中，i为角度组的角度索引，θ i为第i个角度。
M个频域基矢量组表示为：
Figure PCTCN2023070706-appb-000003
其中，w i为第i个频域基矢量。
步骤202：对SRS的信道估计矩阵H SRS在天线维度做合并处理。
步骤203：对步骤202的结果在端口维度做合并处理。
其中，对SrsH分别在天线与端口维度做求和处理，SrsH的维度为:RB数×天线数Rx×端口数Tx。表示为:
H SRS＝[H 0 H 1 ... H K-1]
其中，每个RB的H都是一个Rx乘Tx的矩阵：
Figure PCTCN2023070706-appb-000004
其中，k为RB索引，Rx为物理天线数，Tx为天线端口数。
分别对H k的物理天线与端口维度累加可得：
Figure PCTCN2023070706-appb-000005
因此，对SrsH的求和结果为一个维度为K的向量：
Figure PCTCN2023070706-appb-000006
步骤204：对步骤203的结果按照频域粒度ρ进行RB合并。
其中，根据频域基矢量设计的粒度，对H按照每ρ进行RB合并处理，维度为
Figure PCTCN2023070706-appb-000007
结果记为:
Figure PCTCN2023070706-appb-000008
步骤205：将步骤204的结果与第i个频域基矢量做内积并记录结果。
步骤206：循环索引值i自加1，判断i是否小于M，在判断结果为是的情况下返回步骤205；在判断结果为否的情况下执行步骤207。
其中，分别与M个频域基矢量做内积并求模，遍历求模结果为：
Figure PCTCN2023070706-appb-000009
步骤207:选出求模结果的最大值对应的频域基矢量作为最优频域基矢量。
其中，找出最大值对应的频域基矢量并做RB扩展作为最优频域基矢量，通过以下表达式:
Figure PCTCN2023070706-appb-000010
步骤208：对最优频域基矢量做RB扩展，得到频域赋形矢量，其中，扩展之后的频域维度为K。
步骤209：CSI-RS信号乘以频域赋形矢量，完成频域的最大径TA的预补偿。
步骤210：对步骤9结果乘以空域权值矩阵W，完成波束赋形。
步骤211：发送赋形后的CSI-RS。
通过上述步骤201至步骤211中的CSI-RS信号赋形优化方法，在无线通信系统中，通过在发送端对CSI-RS信号乘以频域赋形矢量，在频域上进行相位补偿，在信道条件LOS径占优的场景下，终端接收到的信号只有很小的TA，从而可以提高CSI-RS信道估计的准确度，进而提高终端侧反馈给基站RI、PMI、CQI等指标的可靠度，改善发送端对下行业务的赋形、控制的精准程度，提升了通信系统的性能，另外，由于终端收到的信号去除了大TA的影响，因此也可以使得终端CSI-RS的信道估计算法更加优化。
对应于上述图1中的方法，本公开还提供了一种CSI-RS的波束赋形装置，如图2所示，该装置包括确定模块22、第一处理模块24、第二处理模块26。
确定模块22，用于基于频域基矢量确定频域赋形矢量。第一处理模块24，用于将待传输的CSI-RS与频域赋形矢量相乘得到乘积结果，其中，乘积结果用于拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿。第二处理模块26，用于将乘积结果与空域权值矩阵相乘，以对待传输的CSI-RS进行波束赋形。
通过本公开中的装置，可以先将CSI-RS与频域赋形矢量相乘，该乘积结果能够用于拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿，进而将该乘积结果与空域权值矩阵相乘，实现了利用上行信道估计结果的相位信息，构造与之匹配的频域基矢量，完成了对CSI-RS的波束赋形，实现了在基站侧对频域维度最大径TA的相位预补，提升了基站对下行业务的赋形、控制的精准程度，从而提升了通信系统性能，解决了一些情形中仅在空域上的赋形优化难以满足下行信道业务的需求的技术问题。
在一示例性实施例中，本公开中的确定模块22进一步可以包括：第一处理单元，用于对与信道探测参考信号SRS对应的信号估计矩阵分别在天线维度和端口维度进行求和处理，得到求和结果；合并单元，用于基于频域粒度对求和结果进行资源块RB合并，得到第一合并结果；第二处理单元，用于将第一合并结果分别与每一个频域基矢量做内积，得到多个求模结果；确定单元，用于基于多个求模结果中最大值所对应的频域基矢量确定频域赋形矢量。
在一示例性实施例中，本公开中的确定单元进一步可以包括：扩展子单元，用于对多个求模结果中最大值所对应的频域基矢量进行RB扩展；确定子单元，用于将扩展后的频域基矢量确定为频域赋形矢量。
在一示例性实施例中，本公开中的装置还可以包括：生成模块，用于在将第一合并结果 分别与每一个频域基矢量做内积，得到多个求模结果之前，基于角度划分粒度与频域粒度生成与角度划分粒度数量相等的频域基矢量；其中，角度划分粒度为均分预设角度的份数。
在一示例性实施例中，本公开中的第一处理单元进一步可以包括：第一合并子单元，用于对与SRS对应的信号估计矩阵在天线维度进行合并，得到第二合并结果；第二合并子单元，用于对第二合并结果在端口维度进行合并，得到第三合并结果，其中，第三合并结果为求和结果。
如图3所示，本公开提供了一种电子设备，包括处理器111、通信接口112、存储器113和通信总线114，其中，处理器111，通信接口112，存储器113通过通信总线114完成相互间的通信，存储器113，用于存放计算机程序。
在本公开一个实施例中，处理器111，用于执行存储器113上所存放的程序时，实现前述任意一个方法实施例提供的CSI-RS的波束赋形方法，其作用也是类似的，在此不再赘述。
本公开还提供了一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器执行时实现如前述任意一个方法实施例提供的CSI-RS的波束赋形方法的步骤。
本公开提供的上述技术方案与一些情形下相比具有如下优点：本公开提供的该方法，可以先将CSI-RS与频域赋形矢量相乘，该乘积结果能够配置为拉齐最大径定时提前量TA对应频域上的相位，以对最大径TA进行补偿，进而将该乘积结果与空域权值矩阵相乘，实现了利用上行信道估计结果的相位信息，构造与之匹配的频域基矢量，完成了对CSI-RS的波束赋形，实现了在基站侧对频域维度最大径TA的相位预补，提升了基站对下行业务的赋形、控制的精准程度，从而提升了通信系统性能，解决了一些情形下中仅在空域上的赋形优化难以满足下行信道业务的需求的技术问题。
需要说明的是，在本文中，诸如“第一”和“第二”等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
以上仅是本公开的具体实施方式，使本领域技术人员能够理解或实现本公开。对这些实 施例的多种修改对本领域的技术人员来说将是显而易见的，本文中所定义的一般原理可以在不脱离本公开的精神或范围的情况下，在其它实施例中实现。因此，本公开将不会被限制于本文所示的这些实施例，而是要符合与本文所申请的原理和新颖特点相一致的最宽的范围。

Claims (10)

  1. 一种信道状态参考信号CSI-RS的波束赋形方法，包括：
    基于频域基矢量确定频域赋形矢量；
    将待传输的信道状态参考信号CSI-RS与所述频域赋形矢量相乘得到乘积结果，其中，所述乘积结果用于拉齐最大径定时提前量TA对应频域上的相位，以对所述最大径TA进行补偿；
    将所述乘积结果与空域权值矩阵相乘，以对所述待传输的CSI-RS进行波束赋形。
  2. 根据权利要求1所述的方法，其中，所述基于频域基矢量确定频域赋形矢量，包括：
    对与信道探测参考信号SRS对应的信号估计矩阵分别在天线维度和端口维度进行求和处理，得到求和结果；
    基于频域粒度对所述求和结果进行资源块RB合并，得到第一合并结果；
    将所述第一合并结果分别与每一个所述频域基矢量做内积并求模，得到多个求模结果；
    基于所述多个求模结果中最大值所对应的频域基矢量确定所述频域赋形矢量。
  3. 根据权利要求2所述的方法，其中，所述基于所述多个求模结果中最大值所对应的频域基矢量确定所述频域赋形矢量，包括：
    对所述多个求模结果中最大值所对应的频域基矢量进行RB扩展；
    将扩展后的频域基矢量确定为所述频域赋形矢量。
  4. 根据权利要求2所述的方法，其中，在将所述第一合并结果分别与每一个所述频域基矢量做内积并求模，得到多个求模结果之前，所述方法还包括：
    基于角度划分粒度与频域粒度生成与所述角度划分粒度数量相等的所述频域基矢量；其中，所述角度划分粒度为均分预设角度的份数。
  5. 根据权利要求2所述的方法，其中，所述对与所述SRS对应的信号估计矩阵分别在天线维度和端口维度进行求和处理，得到求和结果包括：
    对与所述SRS对应的信号估计矩阵在天线维度进行合并，得到第二合并结果；
    对所述第二合并结果在端口维度进行合并，得到第三合并结果，其中，所述第三合并结 果为所述求和结果。
  6. 一种信道状态参考信号的波束赋形装置，包括：
    确定模块，用于基于频域基矢量确定频域赋形矢量；
    第一处理模块，用于将待传输的信道状态参考信号CSI-RS与所述频域赋形矢量相乘得到乘积结果，其中，所述乘积结果用于拉齐最大径定时提前量TA对应频域上的相位，以对所述最大径TA进行补偿；
    第二处理模块，用于将所述乘积结果与空域权值矩阵相乘，以对所述待传输的CSI-RS进行波束赋形。
  7. 根据权利要求6所述的装置，其中，所述确定模块包括：
    第一处理单元，用于对与信道探测参考信号SRS对应的信号估计矩阵分别在天线维度和端口维度进行求和处理，得到求和结果；
    合并单元，用于基于频域粒度对所述求和结果进行资源块RB合并，得到第一合并结果；
    第二处理单元，用于将所述第一合并结果分别与每一个所述频域基矢量做内积并求模，得到多个求模结果；
    确定单元，用于基于所述多个求模结果中最大值所对应的频域基矢量确定所述频域赋形矢量。
  8. 根据权利要求7所述的装置，其中，所述确定单元包括：
    扩展子单元，用于对所述多个求模结果中最大值所对应的频域基矢量进行RB扩展；
    确定子单元，用于将扩展后的频域基矢量确定为所述频域赋形矢量。
  9. 一种电子设备，包括处理器、通信接口、存储器和通信总线，其中，处理器，通信接口，存储器通过通信总线完成相互间的通信；
    存储器，用于存放计算机程序；
    处理器，用于执行存储器上所存放的程序时，实现权利要求1-5中任一项所述方法步骤。
  10. 一种计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1-5中任一项所述的方法步骤。
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