CN111786704B - A CRI selection method, device, user equipment and storage medium - Google Patents

Abstract

The present application discloses a channel state information reference signal resource indicator (CRI) selection method, device, user equipment and storage medium. The method includes: receiving a reference signal sent by a network node; based on the received reference signal and a preset precoding matrix , calculate the mutual information MI value of at least one channel state information reference signal CSI-RS resource; based on the MI value of the at least one CSI-RS resource, determine the corresponding value of the optimal CSI-RS resource in the at least one CSI-RS resource CRI. In this way, when CRI is selected, not only the channel information of the received reference signal but also the precoding matrix related to the channel state is considered, which can ensure the selection performance of the CRI, because the precoding related to the channel state is used when calculating the MI value. matrix, it is not necessary to traverse the candidate set of precoding matrix to determine the precoding matrix, which can reduce the complexity of the algorithm and improve the selection efficiency.

Description

A CRI selection method, device, user equipment and storage medium

technical field

The present application relates to wireless communication technologies, and in particular, to a channel state information reference signal resource indicator (Channel State Information Reference Signal Resource Indicator, CRI) selection method, apparatus, user equipment, and storage medium.

Background technique

Long Term Evolution (LTE) Rel 13 and New Radio (New Radio, NR) protocols introduce CRI for Massive Multiple-In Multiple-Out (Massive MIMO) systems. The basic principle is that the base station uses different beams on different CSI-RS resources to transmit to the user equipment (User Equipment, UE), and then the UE reports the optimal CSI resource index to the base station, so that the base station completes the selection of the 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.

However, in the prior art, when selecting an optimal CRI, it is necessary to perform RI calculation, PMI calculation and CQI calculation for each CRI resource to determine the optimal CRI, and the algorithm has high complexity, resulting in low selection efficiency.

SUMMARY OF THE INVENTION

In order to solve the above technical problems, the embodiments of the present application expect to provide a CRI selection method, apparatus, user equipment, and storage medium.

The technical solution of the present application is realized as follows:

In a first aspect, a CRI selection method is provided, the method comprising:

receiving a reference signal sent by a network node;

Calculate the mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and the preset precoding matrix;

Based on the MI value of the at least one CSI-RS resource, the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource is determined.

In a second aspect, a CRI selection device is provided, the device comprising:

a communication unit, configured to receive a reference signal sent by a network node;

a processing unit, configured to calculate the 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;

A determining unit, configured to determine 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 third aspect, a user equipment is provided, comprising: a processor and a memory configured to store a computer program executable on the processor,

Wherein, the processor is configured to execute 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, when the computer program is executed by a processor, the steps of the foregoing method are implemented.

The embodiments of the present application are expected to provide a CRI selection method, apparatus, user equipment, and storage medium. The method includes: receiving a reference signal sent by a network node; and calculating at least one channel state based on the received reference signal and a preset precoding matrix Mutual information MI value of the information reference signal CSI-RS resource; based on the MI value of the at least one CSI-RS resource, determine the CRI of the optimal CSI-RS resource from the at least one CSI-RS resource. In this way, when CRI is selected, not only the channel information of the received reference signal but also the precoding matrix related to the channel state is considered, which can ensure the selection performance of the CRI, because the precoding related to the channel state is used when calculating the MI value. matrix, it is not necessary to traverse the candidate set of precoding matrix to determine the precoding matrix, which can reduce the complexity of the algorithm and improve the selection efficiency.

Description of drawings

Fig. 1 is the first schematic flow chart of the CRI selection method in the embodiment of the present application;

FIG. 2 is a schematic structural diagram of a wireless communication network provided in an embodiment of the application;

FIG. 3 is a second schematic flowchart of the CRI selection method in the embodiment of the present application;

FIG. 4 is a schematic flowchart of a method for calculating an MI value of a CSI-RS resource in an embodiment of the present application;

FIG. 5 is a schematic diagram of the composition and structure of a CRI selection device 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 ways

In order to have a more detailed understanding of the features and technical contents of the embodiments of the present application, the implementation of the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

CSI information is the channel state information used by the UE to feed back the downlink channel quality to the base station (gNB), so that the gNB can select appropriate transmission resources for downlink data transmission and reduce the block error rate of downlink data transmission. Indicator, RI), Precoding Matrix Indicator (PMI), Channel Quality Indicator (CQI), Layer Indicator (LI), CSI Reference Signal Resource Indicator (CSI-RS) Resource Indicator, CRI) and so on.

Among them, the existing CRI selection methods include the following two:

1) Joint estimation method: Calculate the optimal RI, PMI, CQI and CRI on all CRI resources.

The CRI selection performance of this solution is better, but the implementation algorithm is complex. It is necessary to calculate the optimal RI value, PMI value and MI value for each CRI resource, and then select the optimal RI value according to the total MI value of each CRI resource. CRI. The specific implementation steps are as follows:

Step1: For the selected resource k, calculate the RANK value RI _k of the CRI resource;

Step2: Calculate the optimal PMI _{k corresponding to resource k and RI k ;}

Step3: Calculate the MI _k value corresponding to resource k and (RI _k , PMI _k );

Step4: Select the optimal resource according to MI _k ;

m=argmax(MI _k ), 0≤k<K

Among them, K is the number of CRI resources, and argmax(·) is a function of the variable k corresponding to the maximum value of MI _k .

For each resource, MI _k needs to be calculated through steps 1 to 3. After all candidate CRI resources have been traversed, step 4 is executed to determine the optimal CRI. In this embodiment of the present application, "CRI resource" indicates the CSI-RS resource indicated by the CRI, which may also be referred to as "CSI-RS resource".

2) Individual estimation method: select the optimal CRI according to the channel power.

This scheme has low complexity, and separates the selection of CRI from the selection of RI, PMI, and CQI. First, the optimal CRI is selected through a power algorithm, and then the corresponding RI, PMI and CQI information are calculated for the optimal CRI resource. This scheme only considers the power of the channel when selecting CRI, and does not consider the channel space characteristics, resulting in loss of CRI selection performance. The specific implementation steps are as follows:

Step1: For the selected CRI resource k, calculate the channel power of the CRI resource;

Among them, Power _p,k is the channel power corresponding to the subband p in the CRI resource k, H _q,p is the channel matrix corresponding to the resource element (Resource Element, RE) q in the subband p, and Q is the RE in the subband j. number, P is the number of subbands in CRI resource k, and Power _k is the channel power corresponding to CRI resource k.

Subband is the frequency domain granularity unit of channel information fed back by the physical layer in the LTE system. The system bandwidth may be divided into several subbands. For example, depending on the system bandwidth, the size of the subband may be 4, 6, or 8 multiple PRBs. In practical applications, one subband contains multiple REs that carry reference signals. One RE is the smallest resource unit in LTE physical resources, occupying one OFDM Symbol (1/14ms) in the time domain and 1/14ms in the frequency domain. 1 subcarrier (15KHz).

Step2: Select the optimal CRI resource;

m=argmax(Power _k ), 0≤k<K

Among them, K is the number of CRI resources, and argmax( ) is the function of the variable k corresponding to the maximum value of Power _k .

It can be seen from the above description that although the joint estimation method has better performance, the algorithm complexity is too high, and RI calculation, PMI calculation and CQI calculation need to be performed for each CRI resource. The individual estimation method only performs equivalent channel power estimation for each CRI resource to select the CRI. Although the algorithm has low complexity, it does not consider the spatial correlation characteristics of the channel, which will bring performance loss.

The embodiment of the present application provides a CRI selection method, which can balance the algorithmic complexity and performance of CRI selection, reduces the algorithmic complexity compared with the joint estimation method, and improves the performance compared with the individual estimation method. As shown in Figure 1, the method may specifically include:

Step 101: Receive a reference signal sent by a network node;

A CRI selection method provided in this embodiment of the present application may be applied to user equipment, where the user equipment receives reference signals (Reference Signal, RS) sent by a network node on multiple subcarriers within a set frequency domain range for channel estimation . In this embodiment of the present application, the network node may be a fixed station, a Node B, an eNB (evolved Node B), an Access Point (Access Point, AP), a g Node B (gNB), a relay station, and the like.

Step 102: Calculate the 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;

The MI value represents the amount of signal loss between the received reference signal (Y) and the transmitted reference signal (X) when using CSI-RS resources for information transfer. The expression for calculating the MI value is as follows:

I(X, Y)=H(Y)-H(Y|X)

Among them, I(X, Y) is the MI value, H(Y) is the entropy of Y, and H(Y|X) is the uncertainty of Y when X is known.

Specifically, the channel matrix of each subband in the at least one CSI-RS resource is determined based on the received reference signal; based on the channel matrix of all subbands in each CSI-RS resource and the preset precoding matrix, The MI value of each CSI-RS resource is determined, wherein the preset precoding matrix is related to the channel state.

Here, the UE can calculate the channel matrix of the transmission channel of the reference signal according to the received reference signal; the preset precoding matrix is the optimal precoding matrix set according to the channel state. That is to say, the UE calculates the 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 . In this way, the present application not only considers the channel conditions but also the spatial correlation characteristics when selecting the optimal CRI, which improves the performance compared to the individual estimation method, and the UE of the present application does not need to traverse the candidate set of the precoding matrix to determine The optimal precoding matrix is used to calculate the MI value, which reduces the algorithm complexity and achieves a good balance between performance and computational complexity.

Step 103: Determine 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, the optimal MI value is selected from the MI value 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, the CRI corresponding to the optimal CSI-RS resource is obtained, and the The CRI is fed back to the network node, so that the network node can index 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 includes: from the at least one CSI-RS resource The second maximum MI value is determined in the MI value; the CSI-RS resource corresponding to the second maximum MI value is used as the optimal CSI-RS resource.

Specifically, the following formula is used to calculate the CRI corresponding to the optimal CSI-RS resource:

m=argmax(MI _k ), 0≤k<K

Among them, K is the number of CRI resources, and argmax(·) is a function of the variable k corresponding to the maximum value of MI _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 includes: determining other channel state information based on the CRI of the optimal CSI-RS resource; Wherein, the other channel state information includes at least one of RI, precoding matrix indicator PMI, channel quality indicator CQI and layer indicator LI; reporting the CRI and the other channel state information to the network node.

That is to say, after the CRI is selected, it is only necessary to estimate parameters such as RI, PMI, CQI, and LI for the resources indicated by the selected CRI to obtain other channel state information that needs to be reported, and report other channel state information and CRI to the network node.

The CRI selection method provided in the embodiment of the present application can be applied to the UE side in the wireless communication network. FIG. 2 is a schematic structural diagram of a wireless communication network provided in the embodiment of the present application. As shown in FIG. 2 , the wireless communication network includes: a base station 21 with UE 22 and radio link 23. Both the UE 22 and the base station 21 have multiple antennas. The base station 21 transmits the reference signal through multiple antennas, and after the UE22 receives the reference signal, the CSI for channel estimation of the downlink channel may include the CQI indicating the quality of the wireless communication channel between the base station and the UE, and the CRI indicating the CSR resource, PMI indicating the preferred precoding matrix used to shape the transmit signal, RI indicating the number of useful transport layers for the UE preferred data channel, LI indicating the data channel transport layer.

RI is the UE's recommendation for the number of layers. In LTE, the rank indicator is used in spatial multiplexing mode. For example, RI is reported when the UE is operating in multiple-input multiple-output (MIMO) mode with spatial multiplexing, eg, RI of 1 or 2 in the case of a 2-to-2 antenna configuration, and RI of 1 or 2 in the case of a 4-to-4 antenna configuration , RI has values from 1 to 4. 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 about the 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 that time.

With the above technical solution, when selecting CRI, not only the channel information of the received reference signal but also the precoding matrix related to the channel state is considered, which can ensure the selection performance of the CRI. Since the MI value is calculated using the channel state related There is no need to traverse the precoding matrix candidate set to determine the precoding matrix, which can reduce the complexity of the algorithm and improve the selection efficiency.

On the basis of the above-mentioned embodiment, the embodiment of the present application also provides a CRI selection method, and the method provides a specific calculation method of the MI value, as shown in FIG. 3 , the method includes:

Step 301: Receive a reference signal sent by a network node;

Specifically, the network node uses at least one CSI-RS resource to send a reference signal, and the UE performs channel estimation on the 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 in advance, and reports to the network The node reports channel state information.

Step 302: Determine the channel matrix of each subband in the at least one CSI-RS resource based on the received reference signal;

Specifically, based on the received reference signal and the reference signal sent by the network node, the UE calculates the channel matrix of each subband in each CSI-RS resource according to Y=HX, where Y is the reference signal received by the UE, and X is the base station For the sent reference signal, since the reference signal X sent by the base station is known to both the base station and the UE, the UE can calculate the channel matrix H=YX according to the received reference signal Y.

Step 303: Calculate the channel correlation matrix of the jth subband in the kth CSI-RS resource based on the channel matrix of the jth subband in the kth CSI-RS resource; wherein k and j are integers;

Here, a subband includes multiple REs carrying reference signals, and the channel matrix of the subband includes the channel matrix of each RE in the subband. Assuming that the subband includes N REs, the channel matrix of the subband includes N channel matrix of each RE.

Exemplarily, the formula for calculating the channel correlation matrix of the jth subband in the kth CRI resource may be as follows:

Among them, R _sb (j, k) is the channel correlation matrix of the _jth subband in the kth CRI resource, Nj is the number of REs carrying reference signals in the jth subband in the kth CRI resource, H _{i , k} is the channel matrix of the i-th RE in the j-th subband in the k-th CRI resource, H _i,k is an MxN matrix, M is the number of antenna ports at the receiving end, N is the number of transmitting ports, H _i,k ^H is the conjugate matrix of the channel matrix of the ith RE.

That is, the channel correlation matrix of each RE in the jth subband is calculated first, and then the channel correlation matrix of each RE is accumulated and averaged to obtain the channel correlation matrix of the jth subband.

Step 304: Using the eigenvector of the channel correlation matrix as the preset precoding matrix, determine the signal-to-interference and noise ratio SINR corresponding to each combination of rank indicators RI in the jth subband;

Here, the eigenvector of the channel correlation matrix is used as the preset precoding matrix, then the signal to interference plus noise ratio (Signal to Interference plus Noise Ratio, SINR) value corresponding to each RI combination in the jth subband can be determined by the characteristics of the channel correlation matrix. value directly. Specifically, a matrix decomposition method is used to extract the eigenvalues of the channel correlation matrix. For example, the channel correlation matrix is decomposed based on an eigenvalue decomposition (Eigen Value Decomposition, EVD) algorithm to obtain the eigenvalues of the channel correlation matrix.

Exemplarily, the formula for calculating the feature value of the jth subband in the kth CRI resource may be as follows:

λ(j,k)=eig(R _sb (j,k))

Among them, λ(j,k) is the eigenvalue of the jth subband, the number of eigenvalues in λ(j,k) is equal to the maximum rank (that is, the maximum RI value), and the eig(·) function is used to calculate the matrix eigenvalues .

Here, since the RI of a subband can take multiple values, that is, corresponding to multiple RI combinations, calculating the SINR value corresponding to each RI combination in a subband is to calculate the SINR value corresponding to each RI combination and each layer. After taking the eigenvalues of the channel-predetermined matrix as a preset preprogrammed matrix related to the channel, dividing the eigenvalues of the subbands by the RI value at this time is an SINR corresponding to each layer of the RI combination.

Exemplarily, 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:

Wherein, SINR _r,l (j,k) is the SINR value corresponding to the lth layer in different RI values in the jth subband in the kth CRI resource. r is the RI value, the value of r is an integer ranging from 1 to the maximum RI value, l is the number of layers, and for each value of r, the value of l is an integer ranging from 0 to r.

If the maximum RI value of the jth subband=N, then the jth subband can obtain the SINR values corresponding to N kinds of RI combinations. For example, when the maximum RI value of the jth subband is 4, the jth subband contains 4 kinds of RI combinations. That is, RI=1, 2, 3 or 4. Specifically, the SINR value of the first layer obtained when RI=1 is the total SINR value, and the SINR value of the first layer and the second layer obtained when RI=2 (the total SINR value /2), RI=3 to get the SINR values of the first, second and third layers (total SINR value/3), RI=4 to get the first, second, third and fourth layers The SINR value of (total SINR value/4).

Step 305: Determine the MI value of the kth CSI-RS resource based on the SINR corresponding to each RI combination in the jth subband;

In practical applications, firstly use the corresponding SINR of each RI combination to calculate the corresponding MI value of each RI combination, then use the corresponding MI value of each RI combination to calculate the MI value of the jth subband, and finally use all the kth CSI-RS resources. The MI value of the subband is calculated to obtain the MI value of the kth CSI-RS resource.

FIG. 4 is a schematic flowchart of 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: Determine the MI value corresponding to each RI combination in the jth subband based on the mapping relationship between the SINR and the MI value and the SINR corresponding to each RI combination in the jth subband;

Exemplarily, the formula for calculating the MI value corresponding to each RI combination may be as follows:

MI _r,l (j,k)=f(SINR _r,l (j,k))

Among them, f(·) represents the mapping relationship between SINR and MI, the f(·) function is used to determine the MI value corresponding to each RI combination, and MI _r,l (j,k) is the MI value corresponding to the lth layer.

Step 402: Based on the MI value corresponding to each RI combination in the jth subband, determine the total MI value corresponding to each RI combination in the jth subband;

It should be noted that since each RI combination corresponds to at least one SINR value, each RI combination also corresponds to at least one MI value, and the total MI corresponding to each RI combination is calculated by using at least one MI value corresponding to each RI combination value.

Specifically, the MI values corresponding to each RI combination are accumulated and summed, and the accumulated sum result is taken as the total MI value corresponding to each RI combination; or, the MI values corresponding to each RI combination are weighted and summed, and the weighted sum is The results are presented as total MI values also corresponding to each RI combination.

Exemplarily, the formula for calculating the total MI value corresponding to each RI combination may be as follows:

Among them, MI _r (j, k) is the total MI value corresponding to one RI combination, and MI _{r, l} (j, k) is the MI value corresponding to the lth layer.

Alternatively, the formula for calculating the total MI value corresponding to each RI combination can be as follows:

Among them, MI _r (j, k) is the total MI value corresponding to an RI combination, MI _{r, l} (j, k) is the MI value corresponding to the lth layer, and w _l is the weight value corresponding to the lth layer.

For example, when the maximum RI value of the jth subband is 4, the jth subband contains four RI combinations. Specifically, one MI value with RI=1 is the total MI value corresponding to RI=1, and two MI values with RI=2 The accumulation of the MI values is the total MI value corresponding to RI=2, the accumulation of the three MI values of RI=3 is the total MI value corresponding to RI=3, and the accumulation of the four MI values of RI=4 is the RI =4 corresponds to the total MI value.

Step 403: Based on the total MI value corresponding to all RI combinations in the jth subband, determine the MI value of each RI combination broadband in the kth CSI-RS resource;

Exemplarily, the formula for calculating the MI value of each RI combination broadband can be as follows:

Among them, MI _r (k) is the MI value of a wideband corresponding to RI=r, J is the number of subbands in the kth CSI-RS resource, MI _r (j, k) is the RI=r in the jth subband Corresponds to the total MI value.

Step 404: Determine the MI value of the kth CSI-RS resource based on the MI value of each RI combination broadband in the kth CSI-RS resource.

Specifically, the first maximum MI value is determined from the MI value of each RI combined broadband in the kth CSI-RS resource; the first maximum MI value is used as the MI of the kth CSI-RS resource value. The specific calculation formula is as follows:

MI(k)=max(MI _r (k)),r∈{1,...,r _max }

Wherein, MI(k) is the MI value of the kth CSI-RS resource, and max(·) is the maximum value among the r _max MI _r (k).

In the embodiment of the present application, the MI value of each CSI-RS resource is calculated through the above steps, and then the optimal CSI-RS resource is selected from the MI value of each resource.

Step 306: Based on the MI value of the at least one CSI-RS resource, determine the CRI of the optimal CSI-RS resource from the at least one CSI-RS resource.

Specifically, the optimal MI value is selected from the MI value 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, the CRI corresponding to the optimal CSI-RS resource is obtained, and the The CRI is fed back to the network node, so that the network node can index 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 includes: from the at least one CSI-RS resource The second maximum MI value is determined in the MI value; the CSI-RS resource corresponding to the second maximum MI value is used as the optimal CSI-RS resource.

That is, the optimal CRI is calculated by the following formula:

m=argmax(MI _k ), 0≤k<K

Among them, K is the number of CRI resources, and argmax(·) is a function of the variable k corresponding to the maximum value of MI _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 includes: determining other channel state information based on the CRI of the optimal CSI-RS resource; Wherein, the other channel state information includes at least one of RI, precoding matrix indicator PMI, channel quality indicator CQI and layer indicator LI; reporting the CRI and the other channel state information to the network node.

That is to say, after the CRI is selected, it is only necessary to estimate parameters such as RI, PMI, CQI, and LI for the resources indicated by the selected CRI to obtain other channel state information that needs to be reported, and report other channel state information and CRI to the The network node does not need to calculate RI, PMI and MI for each resource, which reduces the complexity of the algorithm.

With the above technical solution, when selecting CRI, not only the channel information of the received reference signal but also the precoding matrix related to the channel state is considered, which can ensure the selection performance of the CRI. Since the MI value is calculated using the channel state related There is no need to traverse the precoding matrix candidate set to determine the precoding matrix, which can reduce the complexity of the algorithm and improve the selection efficiency.

It should be noted that the CRI selection method provided in the embodiments of the present application can be applied to various communication systems, for example: Long Term Evolution (Long Term Evolution, LTE)/Long Term Evolution-advanced (LTE-A) system, new Air interface (New Radio, NR) system, Global System of Mobile communication (Global System of Mobile communication, GSM), Code Division Multiple Access (Code Division Multiple Access, CDMA) system, Wideband Code Division Multiple Access (Wideband Code Division Multiple Access, WCDMA) system , General Packet Radio Service (General Packet Radio Service, GPRS) system and so on. Those skilled in the art can understand that the communication system to which the embodiments of the present invention are applied may not be limited to the communication systems listed above.

In order to implement the method of the embodiment of the present application, based on the same inventive concept, the embodiment of the present application further provides a CRI selection apparatus, as shown in FIG. 5 , 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 the 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;

The determining unit 503 is configured to determine 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 some embodiments, the processing unit 502 is specifically configured to determine a channel matrix of each subband in the at least one CSI-RS resource based on the received reference signal; based on the channels of all subbands in each CSI-RS resource matrix and the preset precoding matrix to determine the MI value of each CSI-RS resource, wherein the preset precoding matrix is related to the channel state.

In some embodiments, the processing unit 502 is specifically configured to calculate the channel correlation matrix of the jth subband in the kth CSI-RS resource based on the channel matrix of the jth subband in the kth CSI-RS resource; Wherein, k and j are integers; the eigenvector of the channel correlation matrix is used as the preset precoding matrix, and the signal-to-interference and noise ratio SINR corresponding to each combination of rank indicators RI in the jth subband is determined; based on The SINR corresponding to each RI combination in the jth subband is used to determine the MI value of the kth CSI-RS resource.

Here, after taking the eigenvalue of the channel-predetermined matrix as a preset pre-programmed matrix related to the channel, dividing the eigenvalue of the subband by the RI value is the SINR corresponding to each layer of an RI combination.

In some embodiments, the processing unit 502 is specifically configured to determine, based on the mapping relationship between the SINR and the MI value and the SINR corresponding to each RI combination in the jth subband, the corresponding RI combination in the jth subband. based on the MI value corresponding to each RI combination in the jth subband, determine the total MI value corresponding to each RI combination in the jth subband; based on all the RI combinations in the jth subband The corresponding total MI value is to determine the MI value of each RI combined wideband in the kth CSI-RS resource; based on the MI value of each RI combined wideband in the kth CSI-RS resource, determine the MI values of k CSI-RS resources.

In some embodiments, the processing unit 502 is specifically configured to determine a first maximum MI value from MI values of all subbands in the kth CSI-RS resource; and use the first maximum MI value as the MI values of k CSI-RS resources.

In some embodiments, the determining unit 503 is specifically configured to determine a second maximum MI value from the MI value of the at least one CSI-RS resource; and use 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 determine other channel states based on the CRI of the optimal CSI-RS resource after determining the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource information; wherein the other channel state information includes at least one of RI, precoding matrix indicator PMI, channel quality indicator CQI and layer indicator LI;

The communication unit 501 is further configured to report the CRI and the other channel state information to the network node.

With the above CRI selection device, when performing CRI selection, not only the channel information of the received reference signal but also the precoding matrix related to the channel state is considered, which can ensure the selection performance of the CRI. The relevant precoding matrix does not need to traverse the candidate set of the precoding matrix to determine the precoding matrix, which can reduce the complexity of the algorithm and improve the selection efficiency.

Based on the hardware implementation of each unit in the above-mentioned CRI selection apparatus, an embodiment of the present application further provides a user equipment. As shown in FIG. 6 , the user equipment includes: a processor 601 and a computer configured to store a computer capable of running on the processor. Program memory 602;

Wherein, the processor 601 is configured to execute the method steps in the foregoing embodiments when running a computer program.

Of course, in practical application, as shown in FIG. 6 , various components in the user equipment are coupled together through a bus system 603 . It can be understood that the bus system 603 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 603 also includes a power bus, a control bus and a status signal bus. However, for clarity of illustration, the various buses are labeled as bus system 603 in FIG. 6 .

In practical applications, the above-mentioned processor may be an application specific integrated circuit (ASIC, Application Specific Integrated Circuit), a digital signal processing device (DSPD, Digital Signal Processing Device), a programmable logic device (PLD, Programmable Logic Device), a field programmable gate At least one of an array (Field-Programmable Gate Array, FPGA), a controller, a microcontroller, and a microprocessor. It can be understood that, for different devices, the electronic device used to implement the function of the above processor may also be other, which is not specifically limited in the embodiment of the present application.

The above-mentioned memory can be a volatile memory (volatile memory), such as a random access memory (RAM, Random-Access Memory); or a non-volatile memory (non-volatile memory), such as a read-only memory (ROM, Read-Only Memory) Memory), flash memory (flash memory), hard disk (HDD, Hard Disk Drive) or solid-state drive (SSD, Solid-State Drive); or a combination of the above types of memory, and provide instructions and data to the processor.

In an exemplary embodiment, an embodiment of the present application further provides a computer-readable storage medium, such as a memory including a computer program, and the computer program can be executed by a processor of a user equipment to complete the steps of the foregoing method.

The technical solutions described in the embodiments of the present application may be combined arbitrarily if there is no conflict.

In the several embodiments provided in this application, it should be understood that the disclosed method, apparatus and device may be implemented in other manners. The above-described embodiments are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined, or may be integrated into Another system, or some features can be ignored, or not implemented. In addition, the coupling, or direct coupling, or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical or other forms. of.

The unit described above as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units; Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may all be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above integration The unit can be implemented either in the form of hardware or in the form of hardware plus software functional units.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application.

Claims (9)

1. A method for selecting a channel state information reference signal resource indicator (CRI), characterized in that the method comprises: receiving a reference signal sent by a network node; Calculate the mutual information MI value of at least one channel state information reference signal CSI-RS resource based on the received reference signal and the preset precoding matrix; determining, based on the MI value of the at least one CSI-RS resource, a CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource; The calculating, based on the received reference signal and the preset precoding matrix, the mutual information MI value of at least one channel state information reference signal CSI-RS resource, including: determining a channel matrix for each subband in the at least one CSI-RS resource based on the received reference signal; Calculate the channel correlation matrix of the jth subband in the kth CSI-RS resource based on the channel matrix of the jth subband in the kth CSI-RS resource; where k and j are integers; The eigenvector of the channel correlation matrix is used as the preset precoding matrix; based on the channel matrix of all subbands in each CSI-RS resource and the preset precoding matrix, determine the MI of each CSI-RS resource value, wherein the preset precoding matrix is related to the channel state. 2. The method according to claim 1, wherein the MI value of each CSI-RS resource is determined based on the channel matrix of all subbands in each CSI-RS resource and the preset precoding matrix ,include: determining the signal-to-interference-and-noise ratio SINR corresponding to each combination of rank indicators RI in the jth subband; Based on the SINR corresponding to each RI combination in the jth subband, the MI value of the kth CSI-RS resource is determined. 3. The method according to claim 2, wherein the determining the MI value of the kth CSI-RS resource based on the SINR corresponding to each RI combination in the jth subband, comprises: Determine the MI value corresponding to each RI combination in the jth subband based on the mapping relationship between the SINR and the MI value and the SINR corresponding to each RI combination in the jth subband; determining, based on the MI value corresponding to each RI combination in the jth subband, a total MI value corresponding to each RI combination in the jth subband; determining, based on the total MI value corresponding to all RI combinations in the jth subband, a wideband MI value of each RI combination in the kth CSI-RS resource; Based on the MI value of each RI combined wideband in the kth CSI-RS resource, the MI value of the kth CSI-RS resource is determined. 4. The method according to claim 3, wherein the determining the MI value of the kth CSI-RS resource based on MI values of all subbands in the kth CSI-RS resource, comprising: : determining a first maximum MI value from MI values of all subbands in the kth CSI-RS resource; The first maximum MI value is used as the MI value of the kth CSI-RS resource. 5. The method according to claim 1, wherein the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource is determined based on the MI value of the at least one CSI-RS resource, include: determining a second maximum MI value from the MI values of the at least one CSI-RS resource; The CSI-RS resource corresponding to the second maximum MI value is used as the optimal CSI-RS resource. 6 . The method according to claim 1 , wherein after determining the CRI corresponding to the optimal CSI-RS resource in the at least one CSI-RS resource, the method further comprises: 6 . Determine other channel state information based on the CRI of the optimal CSI-RS resource; wherein the other channel state information includes at least one of RI, precoding matrix indicator PMI, channel quality indicator CQI and layer indicator LI ; reporting the CRI and the other channel state information to the network node. 7. A CRI selection device, wherein the device comprises: a communication unit, configured to receive a reference signal sent by a network node; a processing unit, configured to calculate the 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; The calculating, based on the received reference signal and the preset precoding matrix, the mutual information MI value of at least one channel state information reference signal CSI-RS resource, including: determining a channel matrix for each subband in the at least one CSI-RS resource based on the received reference signal; Calculate the channel correlation matrix of the jth subband in the kth CSI-RS resource based on the channel matrix of the jth subband in the kth CSI-RS resource; where k and j are integers; The eigenvector of the channel correlation matrix is used as the preset precoding matrix; based on the channel matrix of all subbands in each CSI-RS resource and the preset precoding matrix, determine the MI of each CSI-RS resource value, wherein the preset precoding matrix is related to the channel state; A determining unit, configured to determine 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. 8. A user equipment comprising: a processor and a memory configured to store a computer program executable on the processor, Wherein, the processor is configured to execute the steps of the method of any one of claims 1 to 6 when running the computer program. 9. A computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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