CN111786704A - CRI selection method, device, user equipment and storage medium - Google Patents

CRI selection method, device, user equipment and storage medium Download PDF

Info

Publication number
CN111786704A
CN111786704A CN202010494656.9A CN202010494656A CN111786704A CN 111786704 A CN111786704 A CN 111786704A CN 202010494656 A CN202010494656 A CN 202010494656A CN 111786704 A CN111786704 A CN 111786704A
Authority
CN
China
Prior art keywords
resource
csi
value
cri
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010494656.9A
Other languages
Chinese (zh)
Other versions
CN111786704B (en
Inventor
刘君
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to CN202010494656.9A priority Critical patent/CN111786704B/en
Publication of CN111786704A publication Critical patent/CN111786704A/en
Application granted granted Critical
Publication of CN111786704B publication Critical patent/CN111786704B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—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
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048—Allocation of pilot signals, i.e. of signals known to the receiver

Abstract

The application discloses a channel state information reference signal resource indicator (CRI) selection method, a device, user equipment and a storage medium, wherein the method comprises the following steps: receiving a reference signal sent by a network node; calculating a mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and a preset precoding matrix; and determining the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource. Therefore, when CRI is selected, not only the channel information of the received reference signal but also the precoding matrix related to the channel state are considered, the selection performance of CRI can be ensured, and since the precoding matrix related to the channel state is used in the calculation of the MI value, the precoding matrix candidate set does not need to be traversed to determine the precoding matrix, the complexity of the algorithm can be reduced, and the selection efficiency can be improved.

Description

CRI selection method, device, user equipment and storage medium
Technical Field
The present invention relates to wireless communication technologies, and in particular, to a method, an apparatus, a user equipment and a storage medium for selecting a Channel State Information Reference Signal Resource Indicator (CRI).
Background
The Long Term Evolution (LTE) Rel13 and the New Radio (NR) protocol introduce CRI for Massive Multiple-input Multiple-output (Massive MIMO) systems. The basic principle is that a base station sends different beams to user equipment (user equipment, UE) on different CSI-RS resources, and then the UE reports an optimal CSI resource index to the base station, so that the base station completes selection of an optimal beam. When reporting CSI, the UE needs to perform Rank Indicator (RI), Precoding Matrix Indicator (PMI), Channel Quality Indicator (CQI), and Layer Indicator (LI) measurement based on an optimal CSI-RS resource.
In the prior art, when the optimal CRI is selected, RI calculation, PMI calculation and CQI calculation are required to be carried out on each CRI resource to determine the optimal CRI, and the complexity of the algorithm is high, so that the selection efficiency is low.
Disclosure of Invention
In order to solve the foregoing technical problem, embodiments of the present application are intended to provide a CRI selection method, an apparatus, a user equipment, and a storage medium.
The technical scheme of the application is realized as follows:
in a first aspect, a CRI selection method is provided, which includes:
receiving a reference signal sent by a network node;
calculating a mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and a preset precoding matrix;
and determining the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource.
In a second aspect, there is provided a CRI selection apparatus, the apparatus comprising:
a communication unit, configured to receive a reference signal sent by a network node;
a processing unit, configured to calculate a mutual information MI value of at least one CSI-RS resource based on the received reference signal and a preset precoding matrix;
a determining unit, configured to determine, based on the MI value of the at least one CSI-RS resource, a CRI corresponding to an optimal CSI-RS resource of the at least one CSI-RS resource.
In a third aspect, a user equipment is provided, including: a processor and a memory configured to store a computer program capable of running on the processor,
wherein the processor is configured to perform the steps of the aforementioned method when running the computer program.
In a fourth aspect, a computer storage medium is provided, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the aforementioned method.
An embodiment of the present application is intended to provide a CRI selection method, apparatus, user equipment, and storage medium, where the method includes: receiving a reference signal sent by a network node; calculating a mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and a preset precoding matrix; determining a CRI of an optimal CSI-RS resource from the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource. Therefore, when CRI is selected, not only the channel information of the received reference signal but also the precoding matrix related to the channel state are considered, the selection performance of CRI can be ensured, and since the precoding matrix related to the channel state is used in the calculation of the MI value, the precoding matrix candidate set does not need to be traversed to determine the precoding matrix, the complexity of the algorithm can be reduced, and the selection efficiency can be improved.
Drawings
Fig. 1 is a first flowchart of a CRI selection method in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a wireless communication network provided in an embodiment of the present application;
fig. 3 is a second flowchart of the CRI selection method in the embodiment of the present application;
FIG. 4 is a flowchart illustrating a method for calculating an MI value of a CSI-RS resource according to an embodiment of the present application;
fig. 5 is a schematic diagram of a component structure of a CRI selecting apparatus in an embodiment of the present application;
fig. 6 is a schematic structural diagram of a user equipment in an embodiment of the present application.
Detailed Description
So that the manner in which the features and elements of the present embodiments can be understood in detail, a more particular description of the embodiments, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings.
The CSI information is Channel state information used by the UE to feed back downlink Channel Quality to a base station (gNB), so that the gNB selects an appropriate transmission Resource for transmission of downlink data, and reduces a block error rate of downlink data transmission, and is composed of a Rank Indicator (RI), a Precoding Matrix Indicator (PMI), a Channel Quality Indicator (CQI), a Layer Indicator (LI), a CSI-RS reference signal Resource Indicator (CRI), and the like.
The existing CRI selection method comprises the following two methods:
1) the joint estimation method comprises the following steps: the optimal RI, PMI, CQI and CRI on all CRI resources are calculated.
According to the scheme, the CRI selection performance is excellent, but the implementation algorithm complexity is high, the optimal RI value, PMI value and MI value need to be calculated for each CRI resource respectively, and then the optimal CRI is selected according to the total MI value on each CRI resource. The method comprises the following concrete steps:
step1: for the selected resource k, calculating the RANK value RI of the CRI resourcek；
Step 2: computing resources k and RIkCorresponding optimal PMIk；
Step 3: computing resources k and (RI)k,PMIk) Corresponding MIkA value;
step 4: according to MIkSelecting the optimal resource;
m＝argmax(MIk),0≤k<K
where K is the number of CRI resources and argmax (. cndot.) is the MI requirementkFunction of variable k corresponding to maximum valueAnd (4) counting.
For each resource, the MI needs to be calculated by step 1-step 3kAnd when all candidate CRI resources are traversed completely, executing Step4 to determine the optimal CRI. In the embodiment of the present application, the "CRI resource" indicates a CSI-RS resource indicated by the CRI, and may also be referred to as a "CSI-RS resource".
2) The individual estimation method: the optimal CRI is selected according to the channel power.
The scheme is low in complexity, the selection of CRI and the selection of RI, PMI and CQI are separately carried out, the optimal CRI is selected through a power algorithm, and then the corresponding RI, PMI and CQI information is calculated according to the optimal CRI resource. The scheme only considers the power of a channel when selecting the CRI and does not consider the spatial characteristics of the channel, so that the selective performance of the CRI is lost. The method comprises the following concrete steps:
step1, calculating the channel power of the CRI resource for the selected CRI resource k;
Figure BDA0002522376320000041
Figure BDA0002522376320000042
wherein, Powerp,kFor the channel power, H, corresponding to the sub-band p in CRI resource kq,pIs a channel matrix corresponding to Resource Elements (REs) Q in a sub-band P, wherein Q is the number of REs in the sub-band j, P is the number of sub-bands in a CRI Resource k, PowerkAnd the channel power corresponding to the CRI resource k.
The frequency domain granularity unit of the sub-band feedback channel information in the LTE system is provided by the physical layer. The system bandwidth may be divided into several sub-bands, for example, the size of a sub-band may be 4, 6, or 8 PRBs according to the system bandwidth. In practical application, one sub-band includes multiple REs carrying reference signals, where one RE is the smallest resource unit in LTE physical resources, and occupies 1 OFDM Symbol (1/14ms) in the time domain and 1 subcarrier (15KHz) in the frequency domain.
Step 2: selecting an optimal CRI resource;
m＝argmax(Powerk),0≤k<K
where K is the number of CRI resources and argmax (. cndot.) is Power forkThe maximum value corresponds to a function of the variable k.
As can be seen from the above description, although the performance of the joint estimation method is better, the algorithm complexity is too high, and RI calculation, PMI calculation, and CQI calculation need to be performed for each CRI resource. The single estimation method only performs equivalent channel power estimation on each CRI resource to select CRI, although the algorithm complexity is low, the spatial correlation characteristic of the channel is not considered, and performance loss is caused.
The embodiment of the application provides a CRI selection method, which can balance the complexity and performance of an algorithm for CRI selection, and improve the performance compared with a single estimation method while reducing the complexity of the algorithm compared with a joint estimation method. As shown in fig. 1, the method may specifically include:
step 101: receiving a reference signal sent by a network node;
the CRI selection method provided in the embodiment of the present application may be applied to a user equipment, where the user equipment receives a Reference Signal (RS) sent by a network node on multiple subcarriers within a set frequency domain for channel estimation. In this embodiment, the network node may be a fixed station, a node B, eNB (evolved node B), an Access Point (AP), a gtnodeb (gnb), a relay station, and the like.
Step 102: calculating a mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and a preset precoding matrix;
specifically, a channel matrix of each subband in the at least one CSI-RS resource is determined based on the received reference signal; and determining the MI value of each CSI-RS resource based on the channel matrixes of all sub-bands in each CSI-RS resource and the preset precoding matrix, wherein the preset precoding matrix is related to the channel state.
Here, the UE can calculate a channel matrix of a transmission channel of the reference signal according to the received reference signal; the preset precoding matrix is an optimal precoding matrix set according to a channel state. That is, the UE calculates an MI value of the CSI-RS resource according to the channel matrix representing the channel state information and the optimal precoding matrix related to the channel state, and then selects the optimal CSI-RS resource according to the MI value of the CSI-RS resource. Therefore, when the optimal CRI is selected, the channel condition and the spatial correlation characteristic are considered, the performance is improved compared with an independent estimation method, and compared with a joint estimation method, the UE does not need to traverse a candidate set of the precoding matrix to determine the optimal precoding matrix to calculate the MI value, so that the algorithm complexity is reduced, and the performance and the operation complexity are well balanced.
Step 103: and determining the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource.
Specifically, an optimal MI value is selected from MI values of at least one CSI-RS resource, the CSI-RS resource to which the optimal MI value belongs is used as the optimal CSI-RS resource, a CRI corresponding to the optimal CSI-RS resource is obtained, and the CRI is fed back to the network node, so that the network node indexes the corresponding resource according to the CRI fed back by the UE.
In some embodiments, the determining an optimal CSI-RS resource from the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource comprises: determining a second maximum MI value from the MI values of the at least one CSI-RS resource; and taking the CSI-RS resource corresponding to the second maximum MI value as the optimal CSI-RS resource.
Specifically, the CRI corresponding to the optimal CSI-RS resource is calculated by adopting the following formula:
m＝argmax(MIk),0≤k<K
where K is the number of CRI resources and argmax (. cndot.) is the MI requirementkThe maximum value corresponds to a function of the variable k.
In some embodiments, after determining the CRI of the optimal CSI-RS resource from the at least one CSI-RS resource, the method further comprises: determining other channel state information based on the CRI of the optimal CSI-RS resource; wherein the other channel state information comprises at least one of an RI, a precoding matrix indicator PMI, a channel quality indicator CQI and a layer indicator LI; and reporting the CRI and the state information of the other channels to the network node.
That is, after the CRI is selected, only the parameters such as RI, PMI, CQI, LI, etc. need to be estimated for the resource indicated by the selected CRI to obtain other channel state information to be reported, and the other channel state information and the CRI are reported to the network node.
The CRI selection method provided in this embodiment of the present application may be applied to a UE side in a wireless communication network, and fig. 2 is a schematic view of a wireless communication network structure provided in this embodiment of the present application, and as shown in fig. 2, the wireless communication network includes: the base station 21 is in communication with the UE22 and the radio link 23. The UE22 has multiple antennas with the base station 21. The base station 21 transmits a reference signal through multiple antennas, and after receiving the reference signal, the UE22 performs channel estimation on a downlink channel, where the CSI may include a CQI indicating the quality of a wireless communication channel between the base station and the UE, a CRI indicating a CSR resource, a PMI indicating a preferred precoding matrix for shaping a transmission signal, an RI indicating the number of useful transport layers of a data channel preferred by the UE, and an LI indicating a data channel transport layer.
RI is a recommendation for the number of layers by the UE. In LTE, a rank indicator is used in the spatial multiplexing mode. For example, when the UE operates in a multiple-input multiple-output (MIMO) mode with spatial multiplexing, the RI is reported, such as 1 or 2 in the case of a 2-to-2 antenna configuration and having a value from 1 to 4 in the case of a 4-to-4 antenna configuration. The RI is associated with one or more CQI reports. For example, the reported CQI is calculated assuming a specific RI value. The PMI provides information on a preferred precoding matrix in codebook-based precoding. The CQI provides the network node with information about the link adaptation parameters that the UE can support at the time.
By adopting the technical scheme, when CRI is selected, not only the channel information of the received reference signal but also the precoding matrix related to the channel state are considered, so that the selection performance of CRI can be ensured.
On the basis of the foregoing embodiments, an embodiment of the present application further provides a CRI selection method, where a specific calculation method of an MI value is provided, as shown in fig. 3, the method includes:
step 301: receiving a reference signal sent by a network node;
specifically, the network node sends a reference signal by using at least one CSI-RS resource, and the UE performs channel estimation on a channel corresponding to the at least one CSI-RS resource according to the received reference signal and the reference signal sent by the network node known in advance, and reports channel state information to the network node.
Step 302: determining a channel matrix for each subband in the at least one CSI-RS resource based on the received reference signal;
specifically, the UE calculates a channel matrix of each subband in each CSI-RS resource according to Y — HX based on the received reference signal and a reference signal sent by the network node, where Y is the reference signal received by the UE and X is the reference signal sent by the base station, and since the reference signal X sent by the base station is known by both the base station and the UE, the UE may calculate the channel matrix H — Y/X according to the received reference signal Y.
Step 303: calculating a channel correlation matrix of a jth sub-band in a kth CSI-RS resource based on a channel matrix of the jth sub-band in the kth CSI-RS resource; wherein k and j are integers;
here, one sub-band includes a plurality of REs carrying reference signals, the channel matrix of the sub-band includes a channel matrix of each RE in the sub-band, and the channel matrix of the sub-band includes a channel matrix of N REs assuming that the sub-band includes N REs.
For example, the formula for calculating the channel correlation matrix of the jth sub-band in the kth CRI resource can be as follows:
Figure BDA0002522376320000081
wherein R issb(j, k) is the channel correlation matrix of the j sub-band in the k CRI resource, NjThe number of REs carrying reference signals in the jth sub-band in the kth CRI resource, Hi,kIs the channel matrix of the ith RE in the jth sub-band of the kth CRI resource, Hi,kIs a matrix of MxN, M is the number of receiving end antenna ports, N is the number of transmitting ports, Hi,k HA conjugate matrix of a channel matrix of an ith RE.
That is, the channel correlation matrix of each RE in the jth sub-band is calculated, and then the channel correlation matrices of each RE are accumulated and averaged to obtain the channel correlation matrix of the jth sub-band.
Step 304: taking the eigenvector of the channel correlation matrix as the preset precoding matrix, and determining the signal to interference plus noise ratio (SINR) corresponding to each Rank Indicator (RI) combination in the jth sub-band;
here, the eigenvector of the channel correlation matrix is used as the preset precoding matrix, and then the Signal to Interference plus Noise Ratio (SINR) value corresponding to each RI combination in the jth sub-band can be directly obtained through the eigenvalue of the channel correlation matrix. Specifically, a matrix decomposition method is adopted to extract the eigenvalue of the channel correlation matrix. For example, the channel correlation matrix is decomposed based on an eigenvalue Decomposition (EVD) algorithm to obtain eigenvalues of the channel correlation matrix.
For example, the formula for calculating the eigenvalue of the jth sub-band in the kth CRI resource can be as follows:
λ(j,k)＝eig(Rsb(j,k))
where λ (j, k) is the eigenvalue of the jth subband, the number of eigenvalues in λ (j, k) is equal to the maximum rank (i.e., the maximum RI value), and the eig (·) function is used to compute the matrix eigenvalue.
Here, since the RI of a subband can take multiple values, that is, it corresponds to multiple RI combinations, the SINR value corresponding to each RI combination in a subband is calculated, that is, the SINR value corresponding to each layer of each RI combination is calculated. And taking the eigenvalue of the channel first correlation matrix as a preset pre-programmed matrix related to the channel, and then dividing the eigenvalue of the sub-band by the RI value to obtain the corresponding SINR of each layer of the RI combination.
For example, the formula for calculating the Signal to interference plus Noise Ratio (SINR) value corresponding to each RI combination in the jth subband may be as follows:
Figure BDA0002522376320000091
l∈{0,1,…,r-1}，r∈{1,…,rmax}
wherein, the SINRr,lAnd (j, k) is the SINR value corresponding to the l < th > layer in different RI values in the j < th > sub-band in the k < th > CRI resource. r is an RI value, r is an integer ranging from 1 to the maximum RI value, l is the number of layers, and l is an integer ranging from 0 to r for each r value.
If the jth subband maximum RI is N, the jth subband may obtain SINR values corresponding to N types of RI combinations, for example, if the jth subband maximum RI is 4, the jth subband includes 4 types of RI combinations, that is, RI is 1, 2, 3, or 4, specifically, when RI is 1, the SINR value of the first layer is obtained as the total SINR value, RI is 2, the SINR values of the first layer and the second layer are obtained as (total SINR value/2), RI is 3, the SINR values of the first layer, the second layer, and the third layer are obtained as (total SINR value/3), and RI is 4, the SINR values of the first layer, the second layer, the third layer, and the fourth layer are obtained as (total SINR value/4).
Step 305: determining an MI value of the kth CSI-RS resource based on the SINR corresponding to each RI combination in the jth sub-band;
in practical application, the MI value corresponding to each RI combination is calculated by using the SINR corresponding to each RI combination, the MI value corresponding to each RI combination is calculated by using the MI value corresponding to each RI combination, and finally the MI value of the kth CSI-RS resource is calculated by using the MI values of all sub-bands in the kth CSI-RS resource.
Fig. 4 is a flowchart illustrating a method for calculating an MI value of a CSI-RS resource in an embodiment of the present application, as shown in fig. 4, the method specifically includes:
step 401: determining an MI value corresponding to each RI combination in the jth sub-band based on the SINR and MI value mapping relation and the SINR corresponding to each RI combination in the jth sub-band;
illustratively, the formula for calculating the MI value for each RI combination may be as follows:
MIr,l(j,k)＝f(SINRr,l(j,k))
wherein f (-) represents the mapping relation from SINR to MI, and f (-) function is used for determining MI value corresponding to each RI combination, and MIr,l(j, k) is the MI value corresponding to the l-th layer.
Step 402: determining a total MI value corresponding to each RI combination in the jth sub-band based on the MI value corresponding to each RI combination in the jth sub-band;
it should be noted that, each RI combination corresponds to at least one SINR value, and therefore, each RI combination also corresponds to at least one MI value, and the total MI value corresponding to each RI combination is calculated by using the at least one MI value corresponding to each RI combination.
Specifically, the MI values corresponding to each RI combination are accumulated and summed, and the accumulated and summed result is used as the total MI value corresponding to each RI combination; or, the MI value corresponding to each RI combination is subjected to weighted summation, and the weighted summation result is used as the total MI value corresponding to each RI combination.
Illustratively, the formula for calculating the total MI value for each RI combination may be as follows:
Figure BDA0002522376320000101
wherein MIr(j, k) is the total MI value corresponding to one RI combination, MIr,l(j, k) is the MI value corresponding to the l-th layer.
Alternatively, the formula for calculating the total MI value for each RI combination may be as follows:
Figure BDA0002522376320000102
wherein MIr(j, k) is the total MI value corresponding to one RI combination, MIr,l(j, k) is the MI value corresponding to the l-th layer, wlAnd is the weight value corresponding to the l-th layer.
For example, when the maximum RI value of the jth subband is 4, the jth subband includes 4 RI combinations, specifically, one MI value of RI ═ 1 is the total MI value corresponding to RI ═ 1, two MI values of RI ═ 2 are accumulated to obtain the total MI value corresponding to RI ═ 2, 3 MI values of RI ═ 3 are accumulated to obtain the total MI value corresponding to RI ═ 3, and four MI values of RI ═ 4 are accumulated to obtain the total MI value corresponding to RI ═ 4.
Step 403: determining an MI value of each RI combination wideband in the kth CSI-RS resource based on a total MI value corresponding to all RI combinations in the jth sub-band;
illustratively, the formula for calculating the MI value for each RI combined wideband may be as follows:
Figure BDA0002522376320000111
wherein MIr(k) The RI is the MI value of the corresponding wideband, J is the number of sub-bands in the kth CSI-RS resource, and MI isrAnd (j, k) is the total MI value corresponding to RI ═ r in the jth sub-band.
Step 404: determining an MI value of the kth CSI-RS resource based on the MI value of each RI combined wideband in the kth CSI-RS resource.
Specifically, a first maximum MI value is determined from the MI values of each RI combined wideband in the kth CSI-RS resource; taking the first maximum MI value as the MI value of the kth CSI-RS resource.
The specific calculation formula is as follows:
MI(k)＝max(MIr(k)),r∈{1,...,rmax}
wherein MI (k) is the MI value of the kth CSI-RS resource, and max (-) is the calculation rmaxMIr(k) Maximum value of (2).
In the embodiment of the application, the MI value of each CSI-RS resource is calculated through the steps, and then the optimal CSI-RS resource is selected according to the MI value of each resource.
Step 306: determining a CRI of an optimal CSI-RS resource from the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource.
Specifically, an optimal MI value is selected from MI values of at least one CSI-RS resource, the CSI-RS resource to which the optimal MI value belongs is used as the optimal CSI-RS resource, a CRI corresponding to the optimal CSI-RS resource is obtained, and the CRI is fed back to the network node, so that the network node indexes the corresponding resource according to the CRI fed back by the UE.
In some embodiments, the determining an optimal CSI-RS resource from the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource comprises: determining a second maximum MI value from the MI values of the at least one CSI-RS resource; and taking the CSI-RS resource corresponding to the second maximum MI value as the optimal CSI-RS resource.
I.e. the optimal CRI is calculated using the following formula:
m＝argmax(MIk),0≤k<K
where K is the number of CRI resources and argmax (. cndot.) is the MI requirementkThe maximum value corresponds to a function of the variable k.
In some embodiments, after determining the CRI of the optimal CSI-RS resource from the at least one CSI-RS resource, the method further comprises: determining other channel state information based on the CRI of the optimal CSI-RS resource; wherein the other channel state information comprises at least one of an RI, a precoding matrix indicator PMI, a channel quality indicator CQI and a layer indicator LI; and reporting the CRI and the state information of the other channels to the network node.
That is, after the CRI is selected, only the parameters such as RI, PMI, CQI, LI and the like need to be estimated on the resource indicated by the selected CRI to obtain other channel state information to be reported, and the other channel state information and the CRI are reported to the network node, so that the RI, PMI and MI do not need to be calculated for each resource, and the complexity of the algorithm is reduced.
By adopting the technical scheme, when CRI is selected, not only the channel information of the received reference signal but also the precoding matrix related to the channel state are considered, so that the selection performance of CRI can be ensured.
It should be noted that the CRI selection method provided in the embodiment of the present application can be applied to various communication systems, for example: long Term Evolution (LTE)/enhanced Long Term Evolution (LTE-a) system, New Radio (NR) system, global system for mobile communications (GSM), Code Division Multiple Access (CDMA) system, Wideband Code Division Multiple Access (WCDMA) system, General Packet Radio Service (GPRS) system, and the like. Those skilled in the art will appreciate that the communication system to which the embodiments of the present invention are applied may not be limited to the above-listed communication systems.
To implement the method of the embodiment of the present application, based on the same inventive concept, an embodiment of the present application further provides a CRI selecting apparatus, as shown in fig. 5, where the apparatus includes:
a communication unit 501, configured to receive a reference signal sent by a network node;
a processing unit 502, configured to calculate a mutual information MI value of at least one CSI-RS resource based on the received reference signal and a preset precoding matrix;
a determining unit 503, configured to determine a CRI corresponding to an optimal CSI-RS resource of the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource.
In some embodiments, the processing unit 502 is specifically configured to determine a channel matrix for each subband in the at least one CSI-RS resource based on the received reference signal; and determining the MI value of each CSI-RS resource based on the channel matrixes of all sub-bands in each CSI-RS resource and the preset precoding matrix, wherein the preset precoding matrix is related to the channel state.
In some embodiments, the processing unit 502 is specifically configured to calculate a channel correlation matrix of a jth subband in a kth CSI-RS resource based on a channel matrix of the jth subband in the kth CSI-RS resource; wherein k and j are integers; taking the eigenvector of the channel correlation matrix as the preset precoding matrix, and determining the signal to interference plus noise ratio (SINR) corresponding to each Rank Indicator (RI) combination in the jth sub-band; and determining the MI value of the k CSI-RS resource based on the SINR corresponding to each RI combination in the j sub-band.
Here, after the eigenvalue of the channel first correlation matrix is taken as the preset pre-programmed matrix related to the channel, the eigenvalue of the sub-band at this time is divided by the RI value, which is the SINR corresponding to each layer of the RI combination.
In some embodiments, the processing unit 502 is specifically configured to determine, based on a mapping relationship between SINR and MI values and an SINR corresponding to each RI combination in the jth subband, an MI value corresponding to each RI combination in the jth subband; determining a total MI value corresponding to each RI combination in the jth sub-band based on the MI value corresponding to each RI combination in the jth sub-band; determining an MI value of each RI combination wideband in the kth CSI-RS resource based on a total MI value corresponding to all RI combinations in the jth sub-band; determining an MI value of the kth CSI-RS resource based on the MI value of each RI combined wideband in the kth CSI-RS resource.
In some embodiments, the processing unit 502 is specifically configured to determine a first maximum MI value from the MI values of all subbands in the kth CSI-RS resource; taking the first maximum MI value as the MI value of the kth CSI-RS resource.
In some embodiments, the determining unit 503 is specifically configured to determine a second maximum MI value from the MI values of the at least one CSI-RS resource; and taking the CSI-RS resource corresponding to the second maximum MI value as the optimal CSI-RS resource.
In some embodiments, the determining unit 503 is further configured to, after determining the CRI corresponding to the optimal CSI-RS resource of the at least one CSI-RS resource, determine other channel state information based on the CRI of the optimal CSI-RS resource; wherein the other channel state information comprises at least one of an RI, a precoding matrix indicator PMI, a channel quality indicator CQI and a layer indicator LI;
the communication unit 501 is further configured to report the CRI and the other channel state information to the network node.
By adopting the CRI selection device, when CRI selection is carried out, not only the channel information of the received reference signal but also the precoding matrix related to the channel state are considered, so that the selection performance of CRI can be ensured.
Based on the hardware implementation of each unit in the CRI selection apparatus, an embodiment of the present application further provides a user equipment, as shown in fig. 6, where the user equipment includes: a processor 601 and a memory 602 configured to store computer programs executable on the processor;
wherein the processor 601 is configured to execute the method steps in the previous embodiments when running the computer program.
Of course, in practice, the various components of the user device are coupled together by a bus system 603, as shown in FIG. 6. It will be appreciated that the bus system 603 is used to enable communications for connections between these components. The bus system 603 includes a power bus, a control bus, and a status signal bus in addition to a data bus. But for the sake of clarity the various buses are labeled as bus system 603 in figure 6.
In practical applications, the processor may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, and a microprocessor. It is understood that the electronic devices for implementing the above processor functions may be other devices, and the embodiments of the present application are not limited in particular.
The Memory may be a volatile Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read-Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk (HDD), or a Solid-State Drive (SSD); or a combination of the above types of memories and provides instructions and data to the processor.
In an exemplary embodiment, the present application further provides a computer readable storage medium, such as a memory including a computer program, which is executable by a processor of a user equipment to perform the steps of the foregoing method.
The technical solutions described in the embodiments of the present application can be arbitrarily combined without conflict.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus, and device may be implemented in other ways. The above-described embodiments are merely illustrative, and for example, the division of a unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application.

Claims (10)

1. A method of channel state information reference signal resource indicator, CRI, selection, the method comprising:
receiving a reference signal sent by a network node;
calculating a mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and a preset precoding matrix;
and determining the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource.
2. The method of claim 1,
the calculating a mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and a preset precoding matrix includes:
determining a channel matrix for each subband in the at least one CSI-RS resource based on the received reference signal;
and determining the MI value of each CSI-RS resource based on the channel matrixes of all sub-bands in each CSI-RS resource and the preset precoding matrix, wherein the preset precoding matrix is related to the channel state.
3. The method of claim 2, wherein determining the MI value of each CSI-RS resource based on the channel matrices of all subbands in each CSI-RS resource and the preset precoding matrix comprises:
calculating a channel correlation matrix of a jth sub-band in a kth CSI-RS resource based on a channel matrix of the jth sub-band in the kth CSI-RS resource; wherein k and j are integers;
taking the eigenvector of the channel correlation matrix as the preset precoding matrix, and determining the signal to interference plus noise ratio (SINR) corresponding to each Rank Indicator (RI) combination in the jth sub-band;
and determining the MI value of the k CSI-RS resource based on the SINR corresponding to each RI combination in the j sub-band.
4. The method of claim 3, wherein the determining the MI value for the kth CSI-RS resource based on the SINR corresponding to each RI combination in the jth subband comprises:
determining an MI value corresponding to each RI combination in the jth sub-band based on the SINR and MI value mapping relation and the SINR corresponding to each RI combination in the jth sub-band;
determining a total MI value corresponding to each RI combination in the jth sub-band based on the MI value corresponding to each RI combination in the jth sub-band;
determining an MI value of each RI combination wideband in the kth CSI-RS resource based on a total MI value corresponding to all RI combinations in the jth sub-band;
determining an MI value of the kth CSI-RS resource based on the MI value of each RI combined wideband in the kth CSI-RS resource.
5. The method of claim 4, wherein the determining the MI value for the kth CSI-RS resource based on the MI value for each RI-combined wideband in the kth CSI-RS resource comprises:
determining a first maximum MI value from the MI values of each RI combined wideband in the kth CSI-RS resource;
taking the first maximum MI value as the MI value of the kth CSI-RS resource.
6. The method of claim 1, wherein the determining the CRI corresponding to an optimal CSI-RS resource of the at least one CSI-RS resource based on the MI value of the at least one CSI-RS resource comprises:
determining a second maximum MI value from the MI values of the at least one CSI-RS resource;
and taking the CSI-RS resource corresponding to the second maximum MI value as the optimal CSI-RS resource.
7. The method of claim 1, wherein after determining the CRI corresponding to an optimal CSI-RS resource of the at least one CSI-RS resource, the method further comprises:
determining other channel state information based on the CRI of the optimal CSI-RS resource; wherein the other channel state information comprises at least one of an RI, a precoding matrix indicator PMI, a channel quality indicator CQI and a layer indicator LI;
and reporting the CRI and the state information of the other channels to the network node.
8. An apparatus for channel state information reference signal resource indicator, CRI, selection, the apparatus comprising:
a communication unit, configured to receive a reference signal sent by a network node;
a processing unit, configured to calculate a mutual information MI value of at least one CSI-RS resource based on the received reference signal and a preset precoding matrix;
a determining unit, configured to determine, based on the MI value of the at least one CSI-RS resource, a CRI corresponding to an optimal CSI-RS resource of the at least one CSI-RS resource.
9. A user equipment, the user equipment comprising: a processor and a memory configured to store a computer program capable of running on the processor,
wherein the processor is configured to perform the steps of the method of any one of claims 1 to 7 when running the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN202010494656.9A 2020-06-03 2020-06-03 CRI selection method, device, user equipment and storage medium Active CN111786704B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010494656.9A CN111786704B (en) 2020-06-03 2020-06-03 CRI selection method, device, user equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010494656.9A CN111786704B (en) 2020-06-03 2020-06-03 CRI selection method, device, user equipment and storage medium

Publications (2)

Publication Number Publication Date
CN111786704A true CN111786704A (en) 2020-10-16
CN111786704B CN111786704B (en) 2022-05-31

Family

ID=72753384

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010494656.9A Active CN111786704B (en) 2020-06-03 2020-06-03 CRI selection method, device, user equipment and storage medium

Country Status (1)

Country Link
CN (1) CN111786704B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112688727A (en) * 2021-03-08 2021-04-20 新华三技术有限公司 Wireless communication method, base station equipment and storage medium
CN113852986A (en) * 2021-09-28 2021-12-28 星思连接(上海)半导体有限公司 Information reporting method and device, electronic equipment and readable storage medium
CN115102593A (en) * 2022-06-13 2022-09-23 Oppo广东移动通信有限公司 Method and device for selecting rank indication, baseband chip and terminal equipment
CN115706642A (en) * 2021-08-06 2023-02-17 大唐移动通信设备有限公司 CSI-IM resource allocation method and CRI calculation method
WO2023236923A1 (en) * 2022-06-10 2023-12-14 上海朗帛通信技术有限公司 Method and apparatus for wireless communication

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075461A (en) * 2009-11-20 2011-05-25 富士通株式会社 Link quality estimation method and device and link adaptive method and device
CN102223212A (en) * 2010-04-16 2011-10-19 电信科学技术研究院 Method and device for reporting PMI (precoding matrix index)
CN102882575A (en) * 2011-07-13 2013-01-16 英特尔移动通信科技德累斯顿有限责任公司 Method and apparatus for determining channel state information
CN103036651A (en) * 2012-12-17 2013-04-10 广东省电信规划设计院有限公司 Method and system of self-adaption multiple input multiple output (MIMO) pre-coding transmission
CN106374981A (en) * 2015-07-20 2017-02-01 索尼公司 Electronic device in wireless communication system and wireless communication method
CN108667490A (en) * 2017-03-30 2018-10-16 电信科学技术研究院 A kind of channel state information feedback method and device
CN109196790A (en) * 2016-05-25 2019-01-11 华为技术有限公司 Channel state information in wireless network determines
CN109314973A (en) * 2016-09-28 2019-02-05 富士通株式会社 Base station apparatus, terminal installation, wireless communication system and radio communication system control method
CN109565400A (en) * 2016-12-28 2019-04-02 Lg 电子株式会社 The method and device for the method for reference signal resource are received in wireless communication system
CN110505695A (en) * 2018-05-18 2019-11-26 维沃移动通信有限公司 Transmitting uplink data indicating means, terminal and network side equipment
CN110771063A (en) * 2017-06-22 2020-02-07 Lg电子株式会社 Method and apparatus for reporting channel status in wireless communication system
US20200052751A1 (en) * 2018-08-10 2020-02-13 At&T Intellectual Property I, L.P. Determining channel state information in advanced networks

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102075461A (en) * 2009-11-20 2011-05-25 富士通株式会社 Link quality estimation method and device and link adaptive method and device
CN102223212A (en) * 2010-04-16 2011-10-19 电信科学技术研究院 Method and device for reporting PMI (precoding matrix index)
CN102882575A (en) * 2011-07-13 2013-01-16 英特尔移动通信科技德累斯顿有限责任公司 Method and apparatus for determining channel state information
CN103036651A (en) * 2012-12-17 2013-04-10 广东省电信规划设计院有限公司 Method and system of self-adaption multiple input multiple output (MIMO) pre-coding transmission
CN106374981A (en) * 2015-07-20 2017-02-01 索尼公司 Electronic device in wireless communication system and wireless communication method
CN109196790A (en) * 2016-05-25 2019-01-11 华为技术有限公司 Channel state information in wireless network determines
CN109314973A (en) * 2016-09-28 2019-02-05 富士通株式会社 Base station apparatus, terminal installation, wireless communication system and radio communication system control method
CN109565400A (en) * 2016-12-28 2019-04-02 Lg 电子株式会社 The method and device for the method for reference signal resource are received in wireless communication system
CN108667490A (en) * 2017-03-30 2018-10-16 电信科学技术研究院 A kind of channel state information feedback method and device
CN110771063A (en) * 2017-06-22 2020-02-07 Lg电子株式会社 Method and apparatus for reporting channel status in wireless communication system
CN110505695A (en) * 2018-05-18 2019-11-26 维沃移动通信有限公司 Transmitting uplink data indicating means, terminal and network side equipment
US20200052751A1 (en) * 2018-08-10 2020-02-13 At&T Intellectual Property I, L.P. Determining channel state information in advanced networks

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112688727A (en) * 2021-03-08 2021-04-20 新华三技术有限公司 Wireless communication method, base station equipment and storage medium
CN112688727B (en) * 2021-03-08 2021-08-31 新华三技术有限公司 Wireless communication method, base station equipment and storage medium
CN115706642A (en) * 2021-08-06 2023-02-17 大唐移动通信设备有限公司 CSI-IM resource allocation method and CRI calculation method
CN115706642B (en) * 2021-08-06 2024-04-12 大唐移动通信设备有限公司 CSI-IM resource allocation method and CRI calculation method
CN113852986A (en) * 2021-09-28 2021-12-28 星思连接(上海)半导体有限公司 Information reporting method and device, electronic equipment and readable storage medium
CN113852986B (en) * 2021-09-28 2023-08-18 星思连接(上海)半导体有限公司 Information reporting method and device, electronic equipment and readable storage medium
WO2023236923A1 (en) * 2022-06-10 2023-12-14 上海朗帛通信技术有限公司 Method and apparatus for wireless communication
CN115102593A (en) * 2022-06-13 2022-09-23 Oppo广东移动通信有限公司 Method and device for selecting rank indication, baseband chip and terminal equipment
CN115102593B (en) * 2022-06-13 2024-02-02 Oppo广东移动通信有限公司 Method and device for selecting rank indication, baseband chip and terminal equipment

Also Published As

Publication number Publication date
CN111786704B (en) 2022-05-31

Similar Documents

Publication Publication Date Title
CN111786704B (en) CRI selection method, device, user equipment and storage medium
US11729651B2 (en) Reference signal measurement reporting method, user equipment and network device
US11101853B2 (en) Method for determining precoding matrix indicator, user equipment, and base station
US10009083B2 (en) Communication method, base station, and user equipment
KR102147224B1 (en) CSI feedback method, precoding method and apparatus
CN109951220B (en) Precoding matrix indication feedback method and device
JP6267336B2 (en) Method for determining precoding matrix index, receiving apparatus, and transmitting apparatus
CN114050854A (en) Wireless communication method and device
JP2019532564A (en) Method and apparatus for acquiring downlink and uplink channel state information
JP6118423B2 (en) Method for feeding back channel state information, user apparatus, and base station
JP7413544B2 (en) Method and apparatus for constructing a precoding matrix based on channel reciprocity
US20130010880A1 (en) Feedback Framework for MIMO Operation in Heterogeneous Communication Network
WO2020221582A1 (en) Methods and apparatuses for csi reporting in a wireless communication system
JP2010537595A (en) Wireless communication system and wireless communication method
EP3736997B1 (en) Method and apparatus for reporting channel state information (csi)
CN110958097B (en) CSI reporting method, device, terminal and network side equipment
CN107896123B (en) Large-scale antenna beam transmission method, base station and terminal
CN107888307B (en) Interference measurement method, device and system, and interference measurement indication method and device
CN108111211B (en) Feedback method and device of channel state information and management equipment
US11929799B2 (en) Communication method and apparatus
US11923940B2 (en) Channel state information reporting method and apparatus
WO2017167156A1 (en) Dmrs transmission method and device
WO2015196974A1 (en) Transmission weighting method and device for csi feedback system
CN108322244A (en) Feedback method, receiving terminal and the transmitting terminal of pre-coding matrix instruction
WO2015054879A1 (en) Channel state information measurement and feedback method, terminal, and base station

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant