CN117254839A - Beam forming method, device and storage medium for channel state reference signals - Google Patents

Beam forming method, device and storage medium for channel state reference signals Download PDF

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Publication number
CN117254839A
CN117254839A CN202210657932.8A CN202210657932A CN117254839A CN 117254839 A CN117254839 A CN 117254839A CN 202210657932 A CN202210657932 A CN 202210657932A CN 117254839 A CN117254839 A CN 117254839A
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frequency domain
result
vector
determining
csi
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王朝阳
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ZTE Corp
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ZTE Corp
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Priority to PCT/CN2023/070706 priority patent/WO2023236535A1/en
Publication of CN117254839A publication Critical patent/CN117254839A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity 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
    • H04B7/0615Diversity 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
    • H04B7/0617Diversity 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity 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
    • H04B7/0615Diversity 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
    • H04B7/0619Diversity 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
    • H04B7/0621Feedback content
    • H04B7/0626Channel coefficients, e.g. channel state information [CSI]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837Diversity 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
    • H04B7/0842Weighted combining
    • H04B7/086Weighted combining using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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

Abstract

The application relates to a beamforming method, a beamforming device and a storage medium of a channel state reference signal, wherein the method comprises the following steps: determining a frequency domain shaping vector based on the frequency domain base vector; multiplying the CSI-RS to be transmitted with the frequency domain shaping vector to obtain a product result, wherein the product result is used for aligning the phase on the frequency domain corresponding to the maximum diameter timing advance TA so as to compensate the maximum diameter TA; multiplying the product result with a space domain weight matrix to perform beamforming on the CSI-RS to be transmitted. By the method and the device, the problem that the shaping optimization in the airspace only is difficult to meet the requirement of downlink channel service in the prior art is solved.

Description

Beam forming method, device and storage medium for channel state reference signals
Technical Field
The present invention relates to the field of communications, and in particular, to a method, an apparatus, and a storage medium for beamforming a channel state reference signal.
Background
In a wireless communication system, feedback of channel state information (Channel State Information, CSI) mainly depends on channel estimation results of a channel state Reference Signal (Channel State Information-Reference Signal, CSI-RS). The User Equipment (UE) obtains CSI-RS configuration through wireless signaling, instructs the UE to perform channel quality estimation at a corresponding CSI-RS resource position, and selects an optimal Rank Indicator (RI), a precoding matrix Indicator (Precoding Matrix Indicator, PMI), and a channel quality Indicator (Channel Quality Indicator, CQI) according to a result of the channel estimation, and feeds back the CSI-RS configuration to a Base Station (BS). And the base station allocates resources and manages beams for each channel according to the feedback information. Therefore, the more accurate CSI-RS channel estimation result directly influences the accuracy of the channel information index fed back to the base station by the UE, so that the base station can acquire feedback information with higher accuracy, the reliability of resource allocation and beam management is further improved, and the overall performance of the communication system is improved.
In the existing research for improving the accuracy of channel estimation of the CSI-RS, the shaping optimization in the space domain is difficult to meet the requirement of downlink channel service.
Disclosure of Invention
The application provides a beam forming method, a beam forming device and a storage medium of a channel state reference signal, which are used for solving the problem that the requirement of downlink channel service is difficult to meet only in the space domain forming optimization in the prior art.
In a first aspect, the present application provides a beamforming method of a channel state reference signal, including: determining a frequency domain shaping vector based on the frequency domain base vector; multiplying the CSI-RS to be transmitted with the frequency domain shaping vector to obtain a product result, wherein the product result is used for aligning the phase on the frequency domain corresponding to the maximum diameter timing advance TA so as to compensate the maximum diameter TA; multiplying the product result with a space domain weight matrix to perform beamforming on the CSI-RS to be transmitted.
In a second aspect, the present application provides a beamforming apparatus for a channel state reference signal, including: a determining module for determining a frequency domain shaping vector based on the frequency domain base vector; the first processing module is used for multiplying the CSI-RS to be transmitted with the frequency domain shaping vector to obtain a product result, wherein the product result is used for aligning the phase of the maximum diameter timing advance TA on the corresponding frequency domain so as to compensate the maximum diameter TA; and the second processing module is used for multiplying the product result with a space domain weight matrix so as to carry out beam forming on the CSI-RS to be transmitted.
In a third aspect, an electronic device is provided, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
a processor, configured to implement the method steps according to any one of the embodiments of the first aspect when executing a program stored in a memory.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the method steps according to any one of the embodiments of the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
the method provided by the embodiment of the application can multiply the CSI-RS with the frequency domain shaping vector, the product result can be used for aligning the phase of the maximum path timing advance TA corresponding to the frequency domain so as to compensate the maximum path TA, and then the product result is multiplied with the airspace weight matrix, so that the phase information of the uplink channel estimation result is utilized to construct the frequency domain base vector matched with the uplink channel estimation result, the beamforming of the CSI-RS is completed, the phase pre-compensation of the maximum path TA of the frequency domain dimension at the base station side is realized, the shaping and control precision degree of the base station on the downlink service is improved, the performance of a communication system is improved, and the problem that the shaping optimization on the airspace only is difficult to meet the requirement of the downlink channel service in the prior art is solved
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a flow chart of a beamforming method of CSI-RS according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a beamforming device of CSI-RS according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
Fig. 1 is a flow chart of a beamforming method of CSI-RS according to an embodiment of the present application, as shown in fig. 1, where steps of the method include:
step 102, determining a frequency domain shaping vector based on the frequency domain base vector;
104, multiplying the CSI-RS to be transmitted by the frequency domain shaping vector to obtain a product result, wherein the product result is used for aligning the phase on the frequency domain corresponding to the maximum diameter timing advance TA so as to compensate the maximum diameter TA;
and step 106, multiplying the product result by a space domain weight matrix to perform beamforming on the CSI-RS to be transmitted.
Through the steps 102 to 106, the CSI-RS may be multiplied by the frequency domain shaping vector, and the product result may be used to align the phase of the maximum path timing advance TA on the corresponding frequency domain, so as to compensate the maximum path TA, and further multiply the product result with the spatial weight matrix, so as to implement the shaping of the CSI-RS by using the phase information of the uplink channel estimation result, construct the frequency domain base vector matched with the phase information, and implement the phase pre-compensation of the maximum path TA in the frequency domain dimension on the base station side, and improve the accuracy of shaping and control of the downlink service by the base station, thereby improving the performance of the communication system, and solving the problem that the shaping optimization on the space domain alone in the prior art is difficult to satisfy the requirement of the downlink channel service.
The implementation main body in the embodiment of the present application is a network side device, for example, a base station; therefore, after beamforming is performed on the CSI-RS to be transmitted, the base station may send the beamformed CSI-RS to the terminal. Because the CSI-RS is multiplied by the frequency domain shaping vector at the transmitting end to perform phase compensation on the frequency domain, under the scene that the channel condition LOS diameter is dominant, the signal received by the terminal has only a small TA, so that the accuracy of CSIRS channel estimation can be improved, and the reliability of indexes such as base station RI, PMI, CQI fed back to the terminal side can be further improved.
In an embodiment of the present application, for the manner of determining the frequency domain shaping vector based on the frequency domain base vector in step 102, the method may further include:
step 11, summing signal estimation matrixes corresponding to the channel sounding reference signals SRS in an antenna dimension and a port dimension respectively to obtain a summation result;
step 12, carrying out resource block RB combination on the summation result based on the frequency domain granularity to obtain a first combination result;
step 13, respectively carrying out inner product and modulo on the first combination result and each frequency domain base vector to obtain a plurality of modulo results;
and step 14, determining a frequency domain shaping vector based on the frequency domain base vector corresponding to the maximum value in the multiple modulo results.
Through the steps 11 to 14, in order to further improve accuracy of channel estimation, the signal estimation matrix may be summed in the antenna dimension and the port dimension, to obtain a more accurate combining result in the antenna dimension and the port dimension, so that the combining result and each frequency domain base vector are subjected to inner product and modulo to obtain a plurality of modulo results, and then a frequency domain forming vector is determined based on the frequency domain base vector corresponding to the maximum value in the modulo results, where the determined frequency domain forming vector is the optimal frequency domain forming vector, i.e. the frequency domain forming vector is the frequency domain forming vector with the highest phase matching degree with the channel estimation result, to complete beam forming of CSI-RS, and realize phase precompensation of the maximum diameter TA in the frequency domain dimension at the base station side.
Further, the method for determining the frequency domain shaping vector based on the frequency domain base vector corresponding to the maximum value of the plurality of modulo results in the step 14 may further include:
step 21, carrying out RB expansion on a frequency domain base vector corresponding to the maximum value in the multiple modulo results;
and step 22, determining the extended frequency domain base vector as a frequency domain shaping vector.
The frequency domain dimension K after RB expansion is performed on the frequency domain base vector corresponding to the maximum value in the multiple modulo results is related to the bandwidth, that is, the number of RBs.
In an optional implementation manner of the embodiment of the present application, before the first combination result is respectively subjected to inner product and modulo with each frequency domain base vector to obtain a plurality of modulo results, the method of the embodiment of the present application may further include:
step 31, generating frequency domain base vectors with the same number as the angle division granularity based on the angle division granularity and the frequency domain granularity; wherein the angle division granularity is the number of parts for equally dividing the preset angle.
The larger the value of the angle division granularity is, the finer the angle 2 pi is divided, and the higher the accuracy of frequency domain phase compensation is.
In an optional implementation manner of the embodiment of the present application, the method for performing summation processing on the signal estimation matrix corresponding to the SRS in the antenna dimension and the port dimension to obtain a summation result in the foregoing step 11 may further include:
step 41, combining the signal estimation matrixes corresponding to the SRS in the antenna dimension to obtain a second combination result;
and step 42, merging the second merging result in the port dimension to obtain a third merging result, wherein the third merging result is a summation result.
That is, in the embodiment of the present application, 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 following is an illustration of the present application in combination with a specific implementation manner of an embodiment of the present application, where the specific implementation manner provides a shaping optimization method of CSI-RS, and the method multiplies a frequency domain shaping vector by a CSI-RS signal sent from a base station to implement phase compensation in a frequency domain, thereby pulling out a phase of a maximum diameter TA corresponding to the frequency domain, implementing precompensation of the maximum diameter TA, and specifically determining shaped frequency domain data through the following formula:
y(f)=Ww opt x(f)
wherein y (f) is the shaped CSI-RS, x (f) is the CSI-RS to be shaped, W is a space domain weight matrix, and W opt The vectors are shaped for the frequency domain.
The frequency domain shaping vector is an optimal frequency domain base vector selected by multiplying all frequency domain base vectors by the maximum value of the uplink srsH. The frequency domain base vector is a vector with rho as granularity, equal phase interval and dimension of RB number (K); wherein ρ represents the frequency domain granularity, the value is a positive integer, and the frequency domain direction precision of the frequency domain base vector is narrowest when 1 is taken. The method steps of this particular embodiment include:
step 201, generating M frequency domain base vectors w according to the angle division granularity M and the frequency domain granularity ρ i
Wherein the frequency domain base vector may be generated according to the following formula:
wherein w is a frequency domain base vector, l is an RB group index, and K is an RB number;
the angular division granularity M is defined as the number of parts of the average division angle 2pi. The larger the value of M, the finer the division of the angle 2 pi, the higher the accuracy of the frequency domain phase compensation. Angle group theta i Expressed as:
where i is the angle index of the angle group, θ i Is the i-th angle.
The M frequency domain basis vector sets are represented as:
wherein w is i Is the i-th frequency domain base vector.
Step 202: channel estimation matrix H for SRS SRS Combining the antenna dimensions;
step 203: combining the results of the step 202 in the port dimension;
and carrying out summation processing on SrsH in the antenna and port dimensions respectively, wherein the dimensions of SrsH are RB number multiplied by antenna number Rx port number Tx. Expressed as:
H SRS =[H 0 H 1 ... H K-1 ]
where H for each RB is a matrix of Rx by Tx:
where k is the RB index, rx is the physical number of antennas, tx is the number of antenna ports.
Respectively to H k The physical antenna and port dimension accumulation of (a) can be obtained:
thus, the result of the summation over SrsH is a vector of dimension K:
step 204: carrying out RB combination on the result of the step 203 according to the frequency domain granularity rho;
wherein, according to granularity designed by frequency domain base vector, carrying out RB merging processing on H according to each rho, and the dimension is thatThe results were noted as:
step 205: performing inner product on the result of the step 204 and the ith frequency domain base vector and recording the result;
step 206: the cyclic index value i is added with 1, whether i is smaller than M or not is judged, and if yes, the step 205 is returned; executing step 207 if the determination result is negative;
and performing inner product and modulo calculation with M frequency domain base vectors respectively, wherein the traversing modulo calculation result is as follows:
step 207, selecting a frequency domain base vector corresponding to the maximum value of the modulus result as an optimal frequency domain base vector;
the frequency domain base vector corresponding to the maximum value is found out, RB expansion is carried out to be used as the optimal frequency domain base vector, and the following formula is adopted:
step 208: performing RB expansion on the optimal frequency domain base vector to obtain a frequency domain shaping vector, wherein the frequency domain dimension after expansion is K;
step 209: multiplying the CSI-RS signal by a frequency domain shaping vector to finish precompensation of the maximum diameter TA of the frequency domain;
step 210: multiplying the result of the step 9 by a airspace weight matrix W to finish beam forming;
step 211: and transmitting the formed CSI-RS.
Through the CSI-RS signal shaping optimization method in steps 201 to 211, in the wireless communication system, by multiplying the CSI-RS signal by the frequency domain shaping vector at the transmitting end, performing phase compensation on the frequency domain, under the scene that the channel condition LOS path is dominant, the signal received by the terminal has only a small TA, so that the accuracy of CSI-RS channel estimation can be improved, the reliability of indexes such as the base station RI, PMI, CQI fed back to the terminal side can be further improved, the shaping and control accuracy degree of the transmitting end on the downlink service can be improved, the performance of the communication system can be improved, and in addition, the influence of a large TA is removed from the signal received by the terminal, so that the channel estimation algorithm of the terminal CSI-RS can be more optimized.
Corresponding to the method in fig. 1, the embodiment of the present application further provides a beamforming device for CSI-RS, as shown in fig. 2, where the device includes:
a determining module 22 for determining a frequency domain shaping vector based on the frequency domain base vector;
a first processing module 24, configured to multiply the CSI-RS to be transmitted with a frequency domain shaping vector to obtain a product result, where the product result is used to align phases on a frequency domain corresponding to the maximum diameter timing advance TA, so as to compensate the maximum diameter TA;
the second processing module 26 is configured to multiply the product result with the spatial weight matrix, so as to perform beamforming on the CSI-RS to be transmitted.
Through the device in the embodiment of the application, the CSI-RS can be multiplied by the frequency domain shaping vector, the product result can be used for aligning the phase of the maximum path timing advance TA corresponding to the frequency domain so as to compensate the maximum path TA, and then the product result is multiplied by the airspace weight matrix, so that the phase information of the uplink channel estimation result is utilized to construct a frequency domain base vector matched with the uplink channel estimation result, the beamforming of the CSI-RS is completed, the phase pre-compensation of the frequency domain dimension maximum path TA at the base station side is realized, the shaping and control precision degree of the base station to the downlink service is improved, the performance of the communication system is improved, and the problem that the shaping optimization only in the airspace in the prior art is difficult to meet the requirement of the downlink channel service is solved.
Optionally, the determining module 22 in the embodiment of the present application may further include: the first processing unit is used for respectively carrying out summation processing on the signal estimation matrixes corresponding to the channel sounding reference signals SRS in the antenna dimension and the port dimension to obtain summation results; the combining unit is used for combining the Resource Blocks (RB) of the summation result based on the frequency domain granularity to obtain a first combination result; the second processing unit is used for respectively carrying out inner product on the first combination result and each frequency domain base vector to obtain a plurality of modulo results; and the determining unit is used for determining a frequency domain shaping vector based on the frequency domain base vector corresponding to the maximum value in the multiple modulo results.
Optionally, the determining unit in the embodiment of the present application may further include: an extension subunit, configured to perform RB extension on a frequency domain base vector corresponding to a maximum value in the multiple modulo results; and the determining subunit is used for determining the extended frequency domain base vector as a frequency domain shaping vector.
Optionally, the apparatus in the embodiment of the present application may further include: the generating module is used for generating frequency domain base vectors with the same number as the angle division granularity based on the angle division granularity and the frequency domain granularity before respectively carrying out inner products on the first combination result and each frequency domain base vector to obtain a plurality of modulo results; wherein the angle division granularity is the number of parts for equally dividing the preset angle.
Optionally, the first processing unit in the embodiment of the present application may further include: the first merging subunit is used for merging the signal estimation matrixes corresponding to the SRS in the antenna dimension to obtain a second merging result; and the second merging subunit is used for merging the second merging result in the port dimension to obtain a third merging result, wherein the third merging result is a sum result.
As shown in fig. 3, the embodiment of the present application provides an electronic device, which includes a processor 111, a communication interface 112, a memory 113, and a communication bus 114, where the processor 111, the communication interface 112, and the memory 113 perform communication with each other through the communication bus 114,
a memory 113 for storing a computer program;
in an embodiment of the present application, the processor 111 is configured to implement the beamforming method of CSI-RS provided in any one of the foregoing method embodiments when executing the program stored in the memory 113, and the function of the beamforming method is similar, and will not be described herein.
The present application further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the beamforming method of CSI-RS provided in any one of the method embodiments described above.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A method for beamforming a channel state reference signal CSI-RS, comprising:
determining a frequency domain shaping vector based on the frequency domain base vector;
multiplying a channel state reference signal (CSI-RS) to be transmitted with the frequency domain shaping vector to obtain a product result, wherein the product result is used for aligning the phase of the maximum diameter Timing Advance (TA) on the corresponding frequency domain so as to compensate the maximum diameter TA;
multiplying the product result with a space domain weight matrix to perform beamforming on the CSI-RS to be transmitted.
2. The method of claim 1, wherein the determining a frequency-domain shaping vector based on the frequency-domain base vector comprises:
respectively carrying out summation processing on a signal estimation matrix corresponding to the channel sounding reference signal SRS in an antenna dimension and a port dimension to obtain a summation result;
combining the Resource Blocks (RB) of the summation result based on frequency domain granularity to obtain a first combination result;
respectively carrying out inner product and modulo on the first combination result and each frequency domain base vector to obtain a plurality of modulo results;
and determining the frequency domain shaping vector based on the frequency domain base vector corresponding to the maximum value in the multiple modulo results.
3. The method of claim 2, wherein the determining the frequency domain shaping vector based on the frequency domain basis vector corresponding to the maximum of the plurality of modulo results comprises:
performing RB expansion on a frequency domain base vector corresponding to the maximum value in the multiple modulo results;
and determining the expanded frequency domain base vector as the frequency domain shaping vector.
4. The method of claim 2, wherein prior to taking the first combined result as an inner product with each of the frequency domain basis vectors and modulo it, respectively, the method further comprises:
generating the frequency domain base vectors with the same number as the angle division granularity based on the angle division granularity and the frequency domain granularity; wherein the angle division granularity is the number of parts for equally dividing the preset angle.
5. The method of claim 2, wherein summing the signal estimation matrices corresponding to the SRS in an antenna dimension and a port dimension, respectively, to obtain a summed result comprises:
combining the signal estimation matrixes corresponding to the SRS in the antenna dimension to obtain a second combination result;
and merging the second merging results in the port dimension to obtain a third merging result, wherein the third merging result is the summation result.
6. A beamforming apparatus for a channel state reference signal, comprising:
a determining module for determining a frequency domain shaping vector based on the frequency domain base vector;
the first processing module is used for multiplying a channel state reference signal (CSI-RS) to be transmitted with the frequency domain shaping vector to obtain a product result, wherein the product result is used for aligning the phase of the maximum diameter Timing Advance (TA) on the corresponding frequency domain so as to compensate the maximum diameter TA;
and the second processing module is used for multiplying the product result with a space domain weight matrix so as to carry out beam forming on the CSI-RS to be transmitted.
7. The apparatus of claim 6, wherein the means for determining comprises:
the first processing unit is used for respectively carrying out summation processing on the signal estimation matrixes corresponding to the channel sounding reference signals SRS in the antenna dimension and the port dimension to obtain summation results;
the merging unit is used for carrying out Resource Block (RB) merging on the summation result based on frequency domain granularity to obtain a first merging result;
the second processing unit is used for respectively carrying out inner product and modulo on the first combination result and each frequency domain base vector to obtain a plurality of modulo results;
and the determining unit is used for determining the frequency domain shaping vector based on the frequency domain base vector corresponding to the maximum value in the multiple modulo results.
8. The apparatus according to claim 7, wherein the determining unit includes:
an extension subunit, configured to perform RB extension on a frequency domain base vector corresponding to a maximum value in the multiple modulo results;
and the determining subunit is used for determining the extended frequency domain base vector as the frequency domain shaping vector.
9. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of claims 1-5 when executing a program stored on a memory.
10. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the method steps of any of claims 1-5.
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