Channel state information reporting method and communication apparatus

Abstract

Provided in the present application are a channel state information reporting method and a communication apparatus, which can report channel state information on the basis of the correlation between basis vectors at different moments. The method comprises: a first apparatus receiving a reference signal, and sending first indication information, wherein the first indication information is used for indicating that each first basis vector in a first basis is associated with at least some first weighting coefficients among a plurality of first weighting coefficients of each second basis vector in a second basis. The first basis and the second basis correspond to different moments, each first weighting coefficient corresponds to a priority, and the priority of each first weighting coefficient is determined on the basis of one or more of the following: the number (M) of first basis vectors, the number of second basis vectors, an index of an (i+1)th first basis vector, and an index of a (j+1)th second basis vector, where 0≤i<M, and 0≤i＜(I), i, j, M, and (I) being all integers.

Description

Channel state information reporting method and communication device

[0001] This application claims priority to the Chinese patent application filed with the State Intellectual Property Office on January 8, 2024, with application number 202410033028.9 and application name “Channel State Information Reporting Method and Communication Device”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of communication technology, and in particular to a channel state information reporting method and a communication device. Background Art

[0003] In a communication system that uses multiple input multiple output (MIMO) technology, when reporting channel state information, a first device, such as a terminal, can report at least one basis vector, such as a spatial basis vector, a frequency domain basis vector, or a space-frequency basis vector (also referred to as a space-frequency basis vector). The basis vectors at different times are reported separately, that is, the reporting processes of the basis vectors at different times are independent of each other, and the basis vectors at each time can be reported according to priority, thereby realizing channel state information reporting.

[0004] In some possible implementations, the first device can report channel state information based on the correlation between basis vectors at different times. For example, the first device can report the difference between basis vectors at two times. In this case, the reported information is related to the basis vectors at both times, and the first device does not directly report the basis vectors. This makes the above-mentioned method of reporting channel state information based on the priority of the basis vectors inapplicable. Therefore, how to report channel state information based on the correlation between basis vectors at different times is an urgent problem to be solved. Summary of the Invention

[0005] Embodiments of the present application provide a channel state information reporting method and a communication device, which can report channel state information based on the correlation between basis vectors reported at different times.

[0006] To achieve the above objectives, this application adopts the following technical solutions:

[0007] In a first aspect, a channel state information reporting method is provided. The channel state information reporting method includes: a first device receives a reference signal from a second device. The first device sends a first indication message to the second device. The first indication message is used to indicate: each first basis vector in the first basis is associated with at least part of the multiple first weighting coefficients of each second basis vector in the second basis. The first basis is determined by the first device according to the reference signal at the first moment, and the second basis is the basis reported by the first device at the second moment, and the second moment is before the first moment. Each first weighting coefficient of at least part of the first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient of the i+1th first basis vector in the first basis associated with the j+1th second basis vector in the second basis is determined according to one or more of the following: the total number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis, 0≤i <M, And M, Both i and j are integers.

[0008] Based on the method provided in the first aspect, a first device may receive a reference signal and send first indication information for indicating at least some of the first weighting coefficients, i.e., coefficients for representing the correlation between basis vectors at different times, such as the first basis vector and the second basis vector. Each of the at least some of the first weighting coefficients corresponds to a priority, and the priority of the first weighting coefficient for associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is determined based on one or more of the following: the total number of first basis vectors in the first basis, the number of second basis vectors in the second basis, the index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis. This allows the first device to report channel state information based on the priorities of the multiple first weighting coefficients. Since the first weighting coefficient is a correlation coefficient between basis vectors at different times, it can be used to represent the correlation between basis vectors at different times. Thus, channel state information can be reported based on the correlation between basis vectors at different times, such as the first basis vector and the second basis vector.

[0009] It should be understood that at least some of the first weighting coefficients are determined based on the priorities of the multiple first weighting coefficients. The priority corresponding to a first weighting coefficient is used to report the first weighting coefficient. In addition, the first device is a device that reports channel state information, such as a terminal. The index of the i+1th first basis vector can be i or i+1. The index of the j+1th second basis vector can be j or j+1.

[0010] In a second aspect, a channel state information reporting method is provided. The channel state information reporting method includes: a second device sends a reference signal. The second device receives first indication information from the first device. The first indication information is used to indicate: each first basis vector in the first basis is associated with at least part of the multiple first weighting coefficients of each second basis vector in the second basis. The first basis is determined by the first device according to the reference signal at the first moment, and the second basis is the basis reported by the first device at the second moment, and the second moment is before the first moment. Each first weighting coefficient of at least part of the first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient of the i+1th first basis vector in the first basis associated with the j+1th second basis vector in the second basis is determined according to one or more of the following: the total number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis, 0≤i <M, And M, i and j are both integers. The second device determines the first basis according to the first indication information.

[0011] Based on the method provided in the second aspect, the second device receives first indication information from the first device and determines a first basis based on the first indication information. Since the first indication information is used to indicate at least a portion of the first weighting coefficients, that is, coefficients used to represent the correlation between basis vectors at different times, such as the first basis vector and the second basis vector, each of the at least a portion of the first weighting coefficients corresponds to a priority, and the priority of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is determined based on one or more of the following: the total number of first basis vectors in the first basis, the number of second basis vectors in the second basis, the index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis. In other words, the first device can report channel state information based on the priorities of multiple first weighting coefficients. Since the first weighting coefficient is a correlation coefficient between basis vectors at different times, it can be used to represent the correlation between basis vectors at different times. In this way, channel state information can be reported based on the correlation between basis vectors at different times, such as the first basis vector and the second basis vector.

[0012] It should be understood that the second device may be a device that receives channel state information, such as a network device.

[0013] In combination with the methods provided in the first and second aspects, in one possible implementation, the priority of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis. The priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis satisfies one of the following relationships: or, Here, Pri(i,j) represents the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis, and f(j) increases or decreases with j. In this way, the priority is calculated for each first weighting coefficient separately, and the first weighting coefficient can be reported according to the priority. For example, if f(j) increases with j, when the importance of the second basis vector is negatively correlated with the index size, information that is more important to the channel state information can be reported first. If f(j) decreases with j, when the importance of the second basis vector is positively correlated with the index size, information that is more important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information. In addition, different priority calculation methods can be matched according to the relationship between the importance of different basis vectors and the index of the basis vectors to improve applicability.

[0014] In one possible implementation, the first indication information further indicates at least some of the plurality of second weighting coefficients and a third basis. The second basis, the first weighting coefficient corresponding to the second basis, the third basis, and at least some of the second weighting coefficients are used to determine the first basis. This improves the information in the first indication information, thereby increasing the accuracy of the reported channel state information.

[0015] In one possible implementation, the priority of all second weighting coefficients is lower than the priority of any first weighting coefficient. In this way, information that has a greater impact on the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0016] In one possible implementation, the priority of associating the first vector corresponding to the i+1th first basis vector in the first basis to the second weighting coefficient on the k+1th third basis vector in the third basis is related to the total number of third basis vectors in the third basis, the first basis vector corresponding to the second weighting coefficient, and the third basis vector corresponding to the second weighting coefficient. The first vector corresponding to the i+1th first basis vector includes the difference between the i+1th first basis vector and the projection of the i+1th first basis vector on the second basis, and k is an integer. In this way, the priority is calculated for each second weighting coefficient separately, and the second weighting coefficient can be reported according to the priority. For example, information important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0017] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis satisfies the following relationship: Pri(i, k) = K1φ(i) + f′(k). Here, Pri(i, k) represents the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis, K1 is the total number of third basis vectors in the third basis, φ(i) increases or decreases with i, f′(k) increases or decreases with k, 0 ≤ i < M, 0 ≤ k < K1, and K1 is an integer. Thus, the priority can be calculated for each second weighting coefficient respectively, and the second weighting coefficient can be reported according to the priority. For example, when φ(i) increases with i and f′(k) increases with k, in the case where the importance of the first basis vector is negatively correlated with the index of the first basis vector and the importance of the third basis vector is negatively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially; when φ(i) increases with i and f′(k) decreases with k, in the case where the importance of the first basis vector is negatively correlated with the index of the first basis vector and the importance of the third basis vector is positively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially; when φ(i) decreases with i and f′(k) increases with k, in the case where the importance of the first basis vector is positively correlated with the index of the first basis vector and the importance of the third basis vector is negatively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially; when φ(i) decreases with i and f′(k) decreases with k, in the case where the importance of the first basis vector is positively correlated with the index of the first basis vector and the importance of the third basis vector is positively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information. In addition, different priority calculation methods can be matched according to the relationship between the importance of the basis vector and the index of the basis vector, improving the applicability.

[0018] In a possible implementation, the first basis vector is a spatial domain basis vector and the second basis vector is a spatial domain basis vector. Alternatively, the first basis vector is a frequency domain basis vector and the second basis vector is a frequency domain basis vector. In the case where the first basis vector is a spatial domain basis vector and the second basis vector is a spatial domain basis vector, the indication of the spatial domain basis can be realized. In the case where the first basis vector is a frequency domain basis vector and the second basis vector is a frequency domain basis vector, the indication of the frequency domain basis vector can be realized.

[0019] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the number of spatial domain basis vectors corresponding to the third basis, the total number of first basis vectors in the first basis, the frequency domain basis vector corresponding to the second weighting coefficient, or the first basis vector corresponding to the second weighting coefficient; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and its projection on the second basis, and both s and f are integers. Thus, the priority can be calculated separately for each second weighting coefficient, and the second weighting coefficients can be reported according to the priority. For example, the information important for the channel state information can be reported preferentially, and thus the accuracy of the reported channel state information can be improved.

[0020] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s,f,i) = LMπ(f) + Lφ(i) + s. Where Pri(s,f,i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the total number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers. Thus, the priority can be calculated separately for each second weighting coefficient, and the second weighting coefficients can be reported according to the priority. For example, when φ(i) increases with i, in the case where the importance of the first basis vector is negatively correlated with the index of the first basis vector, the information more important for the channel state information can be reported preferentially; when φ(i) decreases with i, in the case where the importance of the first basis vector is positively correlated with the index of the first basis vector, the information important for the channel state information can be reported preferentially, and thus the accuracy of the reported channel state information can be improved. In addition, different priority calculation methods can be matched according to the relationship between the importance of the basis vector and the index of the basis vector to improve the applicability.

[0021] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector corresponding to the i-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the total number of spatial domain basis vectors corresponding to the third basis, the frequency domain basis vector corresponding to the second weighting coefficient, the first basis vector corresponding to the second weighting coefficient, or the total number of frequency domain basis vectors corresponding to the third basis. Wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers. Thus, the priority can be calculated for each second weighting coefficient respectively, and the second weighting coefficient can be reported according to the priority. For example, the information important for the channel state information can be reported preferentially, and thus the accuracy of the reported channel state information can be improved.

[0022] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s, f, i) = LFφ(i) + Lπ(f) + s. Where Pri(s, f, i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers. Thus, the priority can be calculated for each second weighting coefficient respectively, and the second weighting coefficient can be reported according to the priority. For example, if φ(i) increases with i, when the importance of the first basis vector is negatively correlated with the index of the first basis vector, the information important for the channel state information can be reported preferentially; if φ(i) decreases with i, when the importance of the first basis vector is positively correlated with the index of the first basis vector, the information important for the channel state information can be reported preferentially, and thus the accuracy of the reported channel state information can be improved. In addition, different priority calculation methods can be matched according to the relationship between the importance of the basis vector and the index of the basis vector to improve the applicability.

[0023] In a possible implementation, the first basis vector is a spatial-frequency basis vector, and the second basis vector is a spatial-frequency basis vector. In this way, the reporting of the spatial-frequency basis vector can be achieved.

[0024] In a third aspect, a method for reporting channel state information is provided. The method for reporting channel state information includes: a first device receives a reference signal from a second device. The first device sends second indication information to the second device. The second indication information is used to indicate at least partial quantization information of a plurality of superposition coefficient differences based on quantization information of G fourth basis vectors. The plurality of superposition coefficient differences include differences between a first superposition coefficient corresponding to each spatial-frequency basis vector in a first spatial-frequency basis at a third moment and a first superposition coefficient corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at a fourth moment. The first spatial-frequency basis includes at least partial spatial-frequency basis vectors determined according to the reference signal. The fourth moment is earlier than the third moment, and G is an integer greater than 0. The at least partial quantization information of the plurality of superposition coefficient differences based on the quantization information of G fourth basis vectors is related to the priority of the quantization information of the plurality of superposition coefficient differences based on the quantization information of G fourth basis vectors. The priority of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device in the plurality of superposition coefficient differences is related to G and the number of transmission layers or antenna ports reported by the first device. 0 ≤ g < G, 1 ≤ l ≤ v, where v represents the number of transmission layers or antenna ports reported by the first device, and g, l, and v are all integers.

[0025] Based on the method provided in the third aspect, the first device can receive the reference signal and send the second indication information to indicate the quantization information of the superposition coefficient difference, that is, the quantization information of the difference between the first superposition coefficients corresponding to the spatial-frequency basis at different moments. The quantization information in the second indication information is determined according to the priority corresponding to each quantization information, and the priority of each quantization information is related to G and the number of transmission layers or antenna ports reported by the first device. In this way, the first device can report the quantization information according to the priority of the quantization information of the superposition coefficient difference, that is, report the channel state information based on the relationship between the first superposition coefficients at different moments.

[0026] Fourth aspect, a method for reporting channel state information is provided. The method for reporting channel state information includes: a second device sending a reference signal to a first device. The second device receiving second indication information from the first device, where the second indication information is determined by the first device based on the reference signal, and the second indication information is used to indicate at least partial quantization information of multiple superposition coefficient differences based on G fourth basis vectors. The multiple superposition coefficient differences include differences between the first superposition coefficients corresponding to each spatial-frequency basis vector in a first spatial-frequency basis at a third time and the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at a fourth time. The first spatial-frequency basis includes at least partial spatial-frequency basis vectors determined based on the reference signal. The fourth time is earlier than the third time, and G is an integer greater than 0. At least partial quantization information of the multiple superposition coefficient differences based on G fourth basis vectors is related to the priority of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The priority of the quantization information associated with the l-th transmission layer or the superposition coefficient difference corresponding to the antenna port of the first device on the (g + 1)-th fourth basis vector is related to G and the number of transmission layers or antenna ports reported by the first device. 0 ≤ g < G, 1 ≤ l ≤ v, where v represents the number of transmission layers or antenna ports reported by the first device, and g, l, and v are all integers. The second device determines the multiple superposition coefficient differences according to the second indication information.

[0027] Based on the method provided in the fourth aspect, the second device can send a reference signal and receive the second indication information, and then determine the multiple superposition coefficient differences according to the second indication information. The second indication information is used to indicate the quantization information of the superposition coefficient differences, that is, the quantization information of the differences between the first superposition coefficients corresponding to the spatial-frequency basis at different times. The quantization information in the second indication information is determined according to the priorities corresponding to all quantization information, and the priority of each quantization information is related to G and the number of transmission layers or antenna ports reported by the first device. That is to say, the first device can report the quantization information to the second device according to the priority of the quantization information of the superposition coefficient differences, that is, report the channel state information based on the relationship between the first superposition coefficients at different times.

[0028] In combination with the methods provided by the third and fourth aspects, in a possible implementation scheme, the priority of the quantization information associated with the superposition coefficient difference corresponding to the antenna port of the lth transmission layer or the first device in the multiple superposition coefficient differences on the g+1th fourth basis vector is negatively correlated with the priority value of the quantization information associated with the superposition coefficient difference corresponding to the antenna port of the lth transmission layer or the first device in the multiple superposition coefficient differences on the g+1th fourth basis vector. Wherein, the priority value of the quantization information associated with the superposition coefficient difference corresponding to the antenna port of the lth transmission layer or the first device in the multiple superposition coefficient differences on the g+1th fourth basis vector satisfies one of the following relationships: Pri(l,g)=vg+l, Pri(l,g)=2vg+l; or, Pri(l,g)=vg 2 +1. Pri(l,g) represents the priority value of the quantization information associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences, and the quantization information on the g+1th fourth basis vector. In this way, by calculating the priority for each piece of quantization information, the quantization information can be reported according to the priority. For example, information important to the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information.

[0029] In one possible implementation, the second indication information is further used to indicate second superposition coefficients corresponding to at least some of the space-frequency basis vectors in a second space-frequency basis. The second space-frequency basis includes space-frequency basis vectors other than the first space-frequency basis in a space-frequency basis determined based on a reference signal. The second superposition coefficients corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis are determined based on the priority of the second superposition coefficients corresponding to each space-frequency basis vector in the second space-frequency basis. This improves the information in the second indication information, thereby increasing the accuracy of the reported channel state information.

[0030] In one possible implementation, the priority of quantized information of multiple superposition coefficient differences based on the G fourth basis vectors is higher than the priority of any second superposition coefficient corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis. In this way, information with a greater impact on the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information.

[0031] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. f frequency domain basis vectors and the kth s The priority value of the second superposition coefficient corresponding to the space-frequency vector composed of the space-domain basis vectors satisfies the following relationship: Pri(l,k s,k f )=vK s k f +υk s +l. Wherein, l represents the index of the antenna port of the transmission layer or the first device, Pri(l,k s ,k f ) represents the kth in the spatial basis between the first device and the second device s The kth spatial basis vector and the frequency basis vector between the first device and the second device f The priority value of the superposition coefficient corresponding to the space-frequency basis vector composed of frequency domain basis vectors, K s is the total number of spatial basis vectors, k s ,k f and K s In this way, the priority is calculated for each second superposition coefficient, and the second superposition coefficient can be reported according to the priority. For example, information important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0032] In one possible implementation scheme, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. The priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector satisfies the following relationship: Pri(l,q)=qv+l. Wherein, l represents the index of the transmission layer or the antenna port of the first device, Pri(l,q) represents the priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector on the antenna port of the lth transmission layer or the first device in the second space-frequency basis, and q is an integer. In this way, the priority is calculated for each second superposition coefficient separately, and the second superposition coefficient can be reported according to the priority. For example, information important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0033] In a fifth aspect, a channel state information reporting method is provided. The channel state information reporting method includes: a first device receives a reference signal from a second device. The first device sends a first indication message to the second device at a fifth moment. The first indication message is used to indicate: each first basis vector in the first basis is associated with at least part of the multiple first weighting coefficients of each second basis vector in the second basis. The first basis is determined by the first device according to the reference signal at the first moment, and the second basis is the basis reported by the first device at the second moment, and the second moment is before the first moment. Each first weighting coefficient of at least part of the first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient of the i+1th first basis vector in the first basis associated with the j+1th second basis vector in the second basis is determined according to one or more of the following: the total number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis, 0≤i <M, And M, Both i and j are integers.

[0034] In one possible implementation, the priority of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis. The priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis satisfies one of the following relationships: or, Wherein, Pri(i,j) represents the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis, and f(j) increases or decreases with j.

[0035] In one possible implementation, the first indication information is also used to indicate at least part of the second weighting coefficients and the third basis among the multiple second weighting coefficients, and the second basis, the first weighting coefficient corresponding to the second basis, the third basis, and at least part of the second weighting coefficients are used to determine the first basis.

[0036] In a possible implementation, the priorities of all second weighting coefficients are lower than the priority of any first weighting coefficient.

[0037] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis is related to the total number of third basis vectors in the third basis, the first basis vector corresponding to the second weighting coefficient, and the third basis vector corresponding to the second weighting coefficient; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and k is an integer.

[0038] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis satisfies the following relationship: Pri(i, k) = K1φ(i) + f′(k). Here, Pri(i, k) represents the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis, K1 is the total number of third basis vectors in the third basis, φ(i) increases or decreases with i, f′(k) increases or decreases with k, 0 ≤ i < M, 0 ≤ k < K1, and K1 is an integer.

[0039] In a possible implementation, the first basis vector is a spatial domain basis vector and the second basis vector is a spatial domain basis vector. Alternatively, the first basis vector is a frequency domain basis vector and the second basis vector is a frequency domain basis vector.

[0040] In a possible implementation, the priority of the second weighting coefficient corresponding to the third basis vector of the (i + 1)-th first basis vector in the first basis associated with the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the third basis vector of the (i + 1)-th first basis vector in the first basis associated with the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the third basis vector of the (i + 1)-th first basis vector in the first basis associated with the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the number of spatial basis vectors corresponding to the third basis, the total number of first basis vectors in the first basis, the frequency domain basis vector corresponding to the second weighting coefficient, or the first basis vector corresponding to the second weighting coefficient. Among them, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers.

[0041] In a possible implementation, the priority value of the second weighting coefficient corresponding to the third basis vector of the (i + 1)-th first basis vector in the first basis associated with the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s, f, i) = LMπ(f)+Lφ(i)+s. Where Pri(s, f, i) represents the priority value of the second weighting coefficient corresponding to the third basis vector of the (i + 1)-th first basis vector in the first basis associated with the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the total number of spatial basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0042] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency-domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency-domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector corresponding to the i-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency-domain basis vector in the third basis is related to one or more of the following: the total number of spatial basis vectors corresponding to the third basis, the frequency-domain basis vector corresponding to the second weighting coefficient, the first basis vector corresponding to the second weighting coefficient, or the total number of frequency-domain basis vectors corresponding to the third basis; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers.

[0043] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency-domain basis vector in the third basis satisfies the following relationship: Pri(s,f,i) = LFφ(i)+Lπ(f)+s. Where Pri(s,f,i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency-domain basis vector in the third basis, L is the number of spatial basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency-domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0044] In a possible implementation, the first basis vector is an empty-frequency basis vector, and the second basis vector is an empty-frequency basis vector.

[0045] In a possible implementation, the method provided in the fifth aspect may further include: the first device sending second indication information to the second device at a sixth moment. The second indication information is used to indicate that the plurality of superposition coefficient differences are based on at least partial quantization information in the quantization information of G fourth basis vectors. The plurality of superposition coefficient differences include the differences between the first superposition coefficients corresponding to each spatio-frequency basis vector in the first spatio-frequency basis at a third moment and the first superposition coefficients corresponding to each spatio-frequency basis vector in the first spatio-frequency basis at a fourth moment. The first spatio-frequency basis includes at least partial spatio-frequency basis vectors in the spatio-frequency basis determined according to the reference signal. The fourth moment is earlier than the third moment, and G is an integer greater than 0. The fact that the plurality of superposition coefficient differences are based on at least partial quantization information in the quantization information of G fourth basis vectors is related to the priority of the plurality of superposition coefficient differences based on the quantization information of G fourth basis vectors. The priority of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences on the (g + 1)-th fourth basis vector is related to G and the number of transmission layers or antenna ports of the first device reported. 0 ≤ g < G, 1 ≤ l ≤ v, where v represents the number of transmission layers or antenna ports of the first device reported, and g, l, and v are all integers. In this way, for different coefficients, reporting is performed based on the correlation between different moments, which can reduce the reporting overhead.

[0046] In a possible implementation, the priority of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences on the (g + 1)-th fourth basis vector is negatively correlated with the priority value of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences on the (g + 1)-th fourth basis vector. Among them, the priority value of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences on the (g + 1)-th fourth basis vector satisfies one of the following relationships: Pri(l, g) = vg + l, Pri(l, g) = 2vg + l; or, Pri(l, g) = vg 2 + l. Here, Pri(l, g) represents the priority value of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device on the (g + 1)-th fourth basis vector.

[0047] In a possible implementation, the second indication information is further used to indicate the second superposition coefficients corresponding to at least partial spatio-frequency basis vectors in the second spatio-frequency basis. Among them, the second spatio-frequency basis includes the spatio-frequency basis vectors in the spatio-frequency basis determined according to the reference signal except the first spatio-frequency basis. The second superposition coefficients corresponding to at least partial spatio-frequency basis vectors in the second spatio-frequency basis are determined according to the priority of the second superposition coefficients corresponding to each spatio-frequency basis vector in the second spatio-frequency basis.

[0048] In a possible implementation, the priorities of multiple superposition coefficient differences based on quantization information of G fourth basis vectors are higher than the priority of any second superposition coefficient in the second superposition coefficients corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis.

[0049] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. f frequency domain basis vectors and the kth s The priority value of the second superposition coefficient corresponding to the space-frequency vector composed of the space-domain basis vectors satisfies the following relationship: Pri(l,k s ,k f )=vK s k f +υk s +l. Wherein, l represents the index of the antenna port of the transmission layer or the first device, Pri(l,k s ,k f ) represents the kth in the spatial basis between the first device and the second device s The kth spatial basis vector and the frequency basis vector between the first device and the second device f The priority value of the superposition coefficient corresponding to the space-frequency basis vector composed of frequency domain basis vectors, K s is the total number of spatial basis vectors, k s ,k f and K s All are integers.

[0050] In one possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. The priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector on the lth transmission layer or the antenna port of the first device in the second space-frequency basis satisfies the following relationship: Pri(l,q)=qv+l. Wherein, l represents the index of the transmission layer or the antenna port of the first device, Pri(l,q) represents the priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector on the lth transmission layer or the antenna port of the first device in the second space-frequency basis, and q is an integer.

[0051] In one possible implementation, the method provided in the fifth aspect may further include: the first apparatus sending third indication information to the second apparatus at a sixth moment, wherein the third indication information is used to indicate a first superposition coefficient corresponding to each space-frequency basis vector in the third space-frequency basis at the third moment.

[0052] Regarding the technical effects of the fifth aspect, reference may be made to the relevant technical effects of the first or second aspect, which will not be repeated here.

[0053] In a sixth aspect, a channel state information reporting method is provided. The channel state information reporting method includes: a second device sends a reference signal. The second device receives first indication information from the first device. The first indication information is sent by the first device at the fifth moment, and the first indication information is used to indicate: each first basis vector in the first basis is associated with at least part of the multiple first weighting coefficients of each second basis vector in the second basis. The first basis is determined by the first device at the first moment based on the reference signal, and the second basis is the basis reported by the first device at the second moment, and the second moment is before the first moment. Each first weighting coefficient of at least part of the first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient of the i+1th first basis vector in the first basis associated with the j+1th second basis vector in the second basis is determined according to one or more of the following: the total number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the i+1th first basis vector in the first basis and the index of the j+1th second basis vector in the second basis, 0≤i <M, And M, i and j are both integers. The second device determines the first basis according to the first indication information.

[0054] In one possible implementation, the priority of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis. The priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis satisfies one of the following relationships: or, Wherein, Pri(i,j) represents the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis, and f(j) increases or decreases with j.

[0055] In one possible implementation, the first indication information is also used to indicate at least part of the second weighting coefficients and the third basis among the multiple second weighting coefficients, and the second basis, the first weighting coefficient corresponding to the second basis, the third basis, and at least part of the second weighting coefficients are used to determine the first basis.

[0056] In a possible implementation, the priorities of all second weighting coefficients are lower than the priority of any first weighting coefficient.

[0057] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis is related to the total number of third basis vectors in the third basis, the first basis vector corresponding to the second weighting coefficient, and the third basis vector corresponding to the second weighting coefficient. Wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and k is an integer.

[0058] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis satisfies the following relationship: Pri(i,k) = K1φ(i) + f′(k). Wherein, Pri(i,k) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis, K1 is the total number of third basis vectors in the third basis, φ(i) increases or decreases with i, f′(k) increases or decreases with k, 0 ≤ i < M, 0 ≤ k < K1, and K1 is an integer.

[0059] In a possible implementation, the first basis vector is a spatial domain basis vector, and the second basis vector is a spatial domain basis vector. Alternatively, the first basis vector is a frequency domain basis vector, and the second basis vector is a frequency domain basis vector.

[0060] In a possible implementation, the priority of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis and associated with the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis and associated with the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis and associated with the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the number of spatial domain basis vectors corresponding to the third basis, the total number of first basis vectors in the first basis, the frequency domain basis vector corresponding to the second weighting coefficient, or the first basis vector corresponding to the second weighting coefficient. Wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers.

[0061] In a possible implementation, the priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis and associated with the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s, f, i) = LMπ(f) + Lφ(i) + s. Where Pri(s, f, i) represents the priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis and associated with the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the total number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0062] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector of the i-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the total number of spatial basis vectors corresponding to the third basis, the frequency domain basis vector corresponding to the second weighting coefficient, the first basis vector corresponding to the second weighting coefficient, or the total number of frequency domain basis vectors corresponding to the third basis; where the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers.

[0063] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s, f, i) = LFφ(i) + Lπ(f) + s. Where Pri(s, f, i) represents the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the number of spatial basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0064] In a possible implementation, the first basis vector is an empty-frequency basis vector, and the second basis vector is an empty-frequency basis vector.

[0065] In a possible implementation, the method provided in the sixth aspect may further include: the second device receives second indication information; wherein, the second indication information is sent by the first device at the sixth moment. The second indication information is used to indicate at least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The multiple superposition coefficient differences include the differences between the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the third moment and the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the fourth moment. The first spatial-frequency basis includes at least part of the spatial-frequency basis vectors determined according to the reference signal. The fourth moment is earlier than the third moment, and G is an integer greater than 0. The at least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors is related to the priority of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The priority of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences is related to G and the number of the transmission layers or the antenna ports reported by the first device. 0 ≤ g < G, 1 ≤ l ≤ v, where v represents the number of the transmission layers or the antenna ports reported by the first device, and g, l, and v are all integers.

[0066] In a possible implementation, the priority of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences is negatively correlated with the priority value of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences and associated with the (g + 1)-th fourth basis vector. Among them, the priority value of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences and associated with the (g + 1)-th fourth basis vector satisfies one of the following relationships: Pri(l, g) = vg + l, Pri(l, g) = 2vg + l; or, Pri(l, g) = vg 2 + l. Where Pri(l, g) represents the priority value of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences and associated with the (g + 1)-th fourth basis vector.

[0067] In a possible implementation, the second indication information is further used to indicate the second superposition coefficients corresponding to at least part of the spatial-frequency basis vectors in the second spatial-frequency basis. The second spatial-frequency basis includes the spatial-frequency basis vectors in the spatial-frequency basis determined according to the reference signal except the first spatial-frequency basis. The second superposition coefficients corresponding to at least part of the spatial-frequency basis vectors in the second spatial-frequency basis are determined according to the priority of the second superposition coefficients corresponding to each spatial-frequency basis vector in the second spatial-frequency basis.

[0068] In a possible implementation, the priorities of multiple superposition coefficient differences based on quantization information of G fourth basis vectors are higher than the priority of any second superposition coefficient in the second superposition coefficients corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis.

[0069] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. f frequency domain basis vectors and the kth s The priority value of the second superposition coefficient corresponding to the space-frequency vector composed of the space-domain basis vectors satisfies the following relationship: Pri(l,k s ,k f )=vK s k f +υk s +l. Wherein, l represents the index of the antenna port of the transmission layer or the first device, Pri(l,k s ,k f ) represents the kth in the spatial basis between the first device and the second device s The kth spatial basis vector and the frequency basis vector between the first device and the second device f The priority value of the superposition coefficient corresponding to the space-frequency basis vector composed of frequency domain basis vectors, K s is the total number of spatial basis vectors, k s ,k f and K s All are integers.

[0070] In one possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. The priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector satisfies the following relationship: Pri(l,q)=qv+l. Wherein, l represents the index of the transmission layer or the antenna port of the first device, and Pri(l,q) represents the priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector on the lth transmission layer or the antenna port of the first device in the second space-frequency basis.

[0071] In one possible implementation, the method provided in the sixth aspect may further include: the second device receiving third indication information from the first device, wherein the third indication information is used to indicate a first superposition coefficient corresponding to each space-frequency basis vector in the third space-frequency basis at a third moment.

[0072] Regarding the technical effects of the method provided in the sixth aspect, reference can be made to the technical effects of the method provided in the fifth aspect, and no further details will be given here.

[0073] In a seventh aspect, a method for reporting channel state information is provided. The method for reporting channel state information includes: a first device receives a reference signal from a second device. The first device sends second indication information to the second device at a sixth time. The second indication information is used to indicate at least partial quantization information of multiple superposition coefficient differences based on quantization information of G fourth basis vectors. The multiple superposition coefficient differences include differences between first superposition coefficients corresponding to each spatial-frequency basis vector in a first spatial-frequency basis at a third time and first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at a fourth time. The first spatial-frequency basis includes at least partial spatial-frequency basis vectors in the spatial-frequency basis determined according to the reference signal. The fourth time is earlier than the third time, and G is an integer greater than 0. The at least partial quantization information of the multiple superposition coefficient differences based on the quantization information of G fourth basis vectors is related to the priority of the multiple superposition coefficient differences based on the quantization information of G fourth basis vectors. The priority of the quantization information on the (g + 1)-th fourth basis vector associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences is related to G and the number of transmission layers or antenna ports reported by the first device. 0 ≤ g < G, 1 ≤ l ≤ v, where v represents the number of transmission layers or antenna ports reported by the first device, and g, l, and v are all integers.

[0074] In a possible implementation, the method provided in the seventh aspect may further include: the first device sends fourth indication information to the second device at a fifth time. The fourth indication information is used to indicate third superposition coefficients corresponding to each spatial-frequency basis vector in the spatial-frequency basis determined according to the reference signal.

[0075] In an eighth aspect, a method for reporting channel state information is provided. The method for reporting channel state information includes: a second device sending a reference signal to a first device; and the second device receiving second indication information from the first device. The second indication information is sent by the second device at a sixth time, and is used to indicate at least part of quantization information of a plurality of superposition coefficient differences based on G fourth basis vectors. The plurality of superposition coefficient differences include differences between first superposition coefficients corresponding to each spatial-frequency basis vector in a first spatial-frequency basis at a third time and first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at a fourth time. The first spatial-frequency basis includes at least part of spatial-frequency basis vectors determined according to the reference signal. The fourth time is earlier than the third time, and G is an integer greater than 0. At least part of quantization information of the plurality of superposition coefficient differences based on G fourth basis vectors is related to the priority of quantization information of the plurality of superposition coefficient differences based on G fourth basis vectors. The priority of quantization information related to the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences is related to G and the number of transmission layers or antenna ports reported by the first device. 0≤g<G, 1≤l≤v, where v represents the number of transmission layers or antenna ports reported by the first device, and g, l, and v are all integers. The second device determines a second vector according to the second indication information.

[0076] In a possible implementation, the method provided in the eighth aspect may further include: the second device receiving fourth indication information from the first device. The fourth indication information is used to indicate third superposition coefficients corresponding to each spatial-frequency basis vector in the spatial-frequency basis determined according to the reference signal. The fourth indication information is sent by the first device at a fifth time.

[0077] Based on the method of the above seventh aspect or the above eighth aspect, in a possible implementation, the priority of quantization information related to the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences is negatively correlated with the priority value of quantization information related to the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences and associated with the (g + 1)-th fourth basis vector. Among them, the priority value of quantization information related to the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences and associated with the (g + 1)-th fourth basis vector satisfies one of the following relationships: Pri(l, g) = vg + l, Pri(l, g) = 2vg + l; or Pri(l, g) = vg 2 + l. Here, Pri(l, g) represents the priority value of quantization information related to the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences and associated with the (g + 1)-th fourth basis vector.

[0078] In one possible implementation scheme, the second indication information is also used to indicate the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis, wherein the second space-frequency basis includes the space-frequency basis vectors other than the first space-frequency basis in the space-frequency basis determined according to the reference signal, and the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis is determined according to the priority of the second superposition coefficient corresponding to each space-frequency basis vector in the second space-frequency basis.

[0079] In a possible implementation, the priorities of multiple superposition coefficient differences based on quantization information of G fourth basis vectors are higher than the priority of any second superposition coefficient in the second superposition coefficients corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis.

[0080] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. f frequency domain basis vectors and the kth s The priority value of the second superposition coefficient corresponding to the space-frequency vector composed of the space-domain basis vectors satisfies the following relationship: Pri(l,k s ,k f )=vK s k f +υk s +l. Wherein, l represents the index of the antenna port of the transmission layer or the first device, Pri(l,k s ,k f ) represents the kth in the spatial basis between the first device and the second device s The kth spatial basis vector and the frequency basis vector between the first device and the second device f The priority value of the superposition coefficient corresponding to the space-frequency basis vector composed of frequency domain basis vectors, K s is the total number of spatial basis vectors, k s ,k f and K s All are integers.

[0081] In one possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. The priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector satisfies the following relationship: Pri(l,q)=qv+l. Wherein, l represents the index of the transmission layer or the antenna port of the first device, Pri(l,q) represents the priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector on the lth transmission layer or the antenna port of the first device in the second space-frequency basis, and q is an integer.

[0082] Regarding the technical effects of the method provided in the seventh or eighth aspect above, reference may be made to the technical effects of the method provided in the third aspect above, which will not be repeated here.

[0083] In a ninth aspect, a communication device is provided, wherein the communication device is configured to execute the method described in any one of the implementations of the first to eighth aspects.

[0084] In the present application, the communication device described in the ninth aspect can be a terminal or a network device, or a chip (system) or other parts or components that can be set in the terminal or network device, or a device that includes the terminal or network device.

[0085] It should be understood that the communication device described in the ninth aspect includes a module, unit, or means corresponding to the method described in any one of the first to eighth aspects above, and the module, unit, or means can be implemented by hardware, software, or by hardware executing the corresponding software implementation. The hardware or software includes one or more modules or units for performing the functions involved in the above method.

[0086] In a tenth aspect, a communication device is provided, comprising: a processor configured to execute the method described in any possible implementation of the first to eighth aspects.

[0087] In a possible implementation, the communication device described in the tenth aspect may further include a transceiver. The transceiver may be a transceiver circuit or an interface circuit. The transceiver may be used for the communication device described in the tenth aspect to communicate with other communication devices.

[0088] In one possible implementation, the communication device described in aspect 10 may further include a memory. The memory may be integrated with the processor or provided separately. The memory may be used to store the computer program and / or data involved in the method described in any one of aspects 1 to 8.

[0089] In the present application, the communication device described in the tenth aspect can be a terminal or a network device, or a chip (system) or other parts or components that can be set in the terminal or network device, or a device that includes the terminal or network device.

[0090] In an eleventh aspect, a communication device is provided. The communication device includes: a processor coupled to a memory, the processor being configured to execute a computer program stored in the memory, so that the communication device performs the method described in any possible implementation of the first to eighth aspects.

[0091] In a possible implementation, the communication device described in the eleventh aspect may further include a transceiver. The transceiver may be a transceiver circuit or an interface circuit. The transceiver may be used for the communication device described in the eleventh aspect to communicate with other communication devices.

[0092] In the present application, the communication device described in the eleventh aspect can be a terminal or a network device, or a chip (system) or other parts or components that can be set in the terminal or network device, or a device that includes the terminal or network device.

[0093] In the twelfth aspect, a communication device is provided, comprising: a processor and a memory; the memory is used to store a computer program, and when the processor executes the computer program, the communication device executes the method described in any one of the implementation methods of the first to eighth aspects.

[0094] In a possible implementation, the communication device described in aspect 12 may further include a transceiver. The transceiver may be a transceiver circuit or an interface circuit. The transceiver may be used for the communication device described in aspect 12 to communicate with other communication devices.

[0095] In the present application, the communication device described in the twelfth aspect can be a terminal or a network device, or a chip (system) or other parts or components that can be set in the terminal or network device, or a device that includes the terminal or network device.

[0096] In the thirteenth aspect, a communication device is provided, comprising: a processor; the processor is used to couple with a memory, and after reading a computer program in the memory, execute the method described in any one of the implementation methods of the first to eighth aspects according to the computer program.

[0097] In a possible implementation, the communication device described in the thirteenth aspect may further include a transceiver. The transceiver may be a transceiver circuit or an interface circuit. The transceiver may be used for the communication device described in the thirteenth aspect to communicate with other communication devices.

[0098] In the present application, the communication device described in the thirteenth aspect can be a terminal or a network device, or a chip (system) or other parts or components that can be set in the terminal or network device, or a device that includes the terminal or network device.

[0099] In a fourteenth aspect, a processor is provided, wherein the processor is configured to execute the method described in any possible implementation of aspects one to eight.

[0100] In a fifteenth aspect, a communication system is provided, which includes one or more terminals and one or more network devices.

[0101] In the sixteenth aspect, a computer-readable storage medium is provided, comprising: a computer program or instructions; when the computer program or instructions are run on a computer, the computer executes the method described in any possible implementation method of the first to eighth aspects.

[0102] In the seventeenth aspect, a computer program product is provided, comprising a computer program or instructions, which, when executed on a computer, causes the computer to execute the method described in any one of the possible implementations of aspects one to eight.

[0103] In addition, the technical effects of the communication devices described in the above-mentioned aspects 9 to 17 can refer to the technical effects of the methods described in the above-mentioned aspects 1 to 8, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0104] FIG1 is a schematic diagram of a CSI reporting process according to an embodiment of the present application;

[0105] FIG2 is a schematic diagram of the architecture of a communication system provided in an embodiment of the present application;

[0106] FIG3 is a schematic diagram of a protocol architecture between a network device and a terminal according to an embodiment of the present application;

[0107] FIG4 is a flow chart of a method for reporting channel state information according to an embodiment of the present application;

[0108] FIG5 is a schematic diagram of the priority of information provided in an embodiment of the present application;

[0109] FIG6 is a second schematic diagram of the priority of information provided in an embodiment of the present application;

[0110] FIG7 is a second flow chart of a channel state information reporting method according to an embodiment of the present application;

[0111] FIG8 is a schematic diagram of superposition coefficients reported at different times according to an embodiment of the present application;

[0112] FIG9 is a third schematic diagram of the priority of information provided in an embodiment of the present application;

[0113] FIG10 is a first structural diagram of a communication device provided in an embodiment of the present application;

[0114] FIG11 is a second structural diagram of the communication device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0115] The technical terms and related technical solutions in this application will be described below in conjunction with the accompanying drawings.

[0116] In a communication system that uses MIMO technology, the data received by the receiving end of the data (i.e., the first device) may be the data after the transmitting end (i.e., the second device) pre-encodes the data. The second device may pre-encode the data based on the channel state information (CSI) reported by the receiving end of the data. For ease of understanding, the embodiments of the present application are all combined with the second device being a network device, such as a wireless access network device, and the first device being a terminal for example, and no further details will be given later. It should be understood that in some possible implementation schemes, the second device may be a terminal and the first device may be a network device.

[0117] The following first introduces the CSI reporting process provided by the embodiment of the present application.

[0118] Please refer to Figure 1, which is a flowchart of CSI reporting provided in an embodiment of the present application. As shown in Figure 1, the CSI reporting process includes the following steps S101 to S104:

[0119] S101: A network device sends channel measurement configuration information to a terminal.

[0120] The channel measurement configuration information is used to indicate channel measurement and configuration parameters for the channel measurement, such as parameters for configuring time domain resources and frequency domain resources. For example, the channel measurement configuration information may indicate resources used to carry a channel state information reference signal (CSI-RS), i.e., CSI-RS resources.

[0121] S102: The network device sends a CSI-RS to the terminal on the CSI-RS resource. Correspondingly, the terminal receives the CSI-RS from the network device on the CSI-RS resource.

[0122] In a communication system, such as a new radio (NR) system, a network device sends a CSI-RS on a CSI-RS resource for a terminal to detect a downlink channel, and the terminal receives the CSI-RS on a pre-configured CSI-RS resource to perform channel estimation.

[0123] S103: The terminal obtains CSI according to the CSI-RS.

[0124] For the implementation principle of S103, reference may be made to the related method for obtaining CSI in the prior art, which will not be repeated here.

[0125] S104: The terminal reports the CSI to the network device.

[0126] The information in the CSI reported by the terminal to the network device is different for different types of codebooks. This is described below in conjunction with a specific codebook solution.

[0127] 1. Codebook based on statistical feature subspace.

[0128] In a codebook based on a statistical feature subspace, a channel can be represented by a linear combination of its eigenvectors. Therefore, the channel's eigenvectors and their superposition coefficients can be reported. Hereinafter, eigenvectors are referred to as basis vectors.

[0129] Assume that the number of antennas of the network device is N tx , the number of frequency domain units is N f .

[0130] 1.1. In the codebook, the spatial domain and frequency domain are represented by vectors in their respective characteristic subspace basis. The characteristic subspace basis of the spatial domain can be extracted from the eigenvectors of the spatial domain covariance matrix, and the characteristic subspace basis of the frequency domain can be obtained from the eigenvectors of the frequency domain covariance matrix. Among them, the dimension of the spatial domain covariance matrix is ​​N tx ×N tx , that is, the spatial covariance matrix is ​​N tx Row N tx The dimension of the frequency domain covariance matrix is ​​N f ×N f , that is, the frequency domain covariance matrix is ​​N f Row N f A matrix of columns.

[0131] In this case, in one possible implementation, the channel matrix H corresponding to each antenna (also referred to as each antenna port) of the terminal (or the precoding matrix of each transmission layer of the terminal) satisfies the relationship shown in the following formula (1): H≈S′C1C2C3F′ H ; (1)

[0132] Among them, S' represents the spatial basis (also called the spatial basis matrix), and the dimension of S' is N tx ×M0, M0 represents the number of spatial basis vectors in S'; C1 represents the superposition coefficient matrix of the spatial basis vectors in the spatial basis, and the dimension of C1 is M0×D0; S'C1 represents the spatial basis after reconstructing a set of D0 spatial basis vectors obtained by the linear combination of the spatial basis vectors in S'. The reconstructed spatial basis is a quantitative approximation of the characteristic subspace basis of the spatial domain (the eigenvectors or basis vectors corresponding to the largest multiple eigenvalues ​​of the spatial statistical covariance matrix); F' represents the frequency domain basis (also called the frequency domain basis matrix), and the dimension of F' is N f ×N0, N0 represents the number of frequency domain basis vectors in F′; C3 represents the superposition coefficient matrix of frequency domain basis vectors in the frequency domain basis, the dimension of C3 is N0×K0, and the conjugate transpose of C3 is F′ H represents the conjugate transpose of F′, The linear combination of the frequency domain basis vectors in F′ yields a set of K0 reconstructed frequency domain bases. The reconstructed frequency domain bases are quantized approximations of the characteristic subspace bases of the frequency domain. C2 represents the superposition coefficient matrix corresponding to the combination of the reconstructed spatial domain bases and the reconstructed frequency domain bases, with dimensions D0 × K0.

[0133] The terminal reports S′, C1, F′, and C3 in a first period and reports C2 in a second period. In other words, the CSI reported by the terminal may include S′, C1, F′, C3, and / or C2. The time length of the first period is greater than or equal to the time length of the second period. In other words, the terminal can report S′, C1, F′, and C3 in a long period and report C2 in a short period. For example, the time length of the first period can be 300 milliseconds (ms), and the time length of the second period can be 5 ms. It should be understood that the first period and the second period are used for example only. In actual implementation, the first period and the second period may also have other time lengths.

[0134] The spatial basis may be a discrete Fourier transform (DFT) basis. For example, when the transmitting antennas of the network device include two antennas distributed in mutually perpendicular directions (e.g., vertical and horizontal directions), the spatial basis vectors in the spatial basis may be two-dimensional DFT (2D-DFT) vectors.

[0135] In another possible implementation, if the transmitting antenna of the network device is a dual-polarized antenna, the spatial covariances corresponding to the two antenna polarization directions can be averaged. In this case, a covariance matrix can be calculated for each polarization direction, and then the spatial covariances corresponding to the two polarization directions can be averaged. The dimension of the spatial covariance matrix is The two polarization directions use the same spatial basis. Then, the channel matrix H (or the precoding matrix of each transmission layer of the terminal) corresponding to each antenna (also known as each antenna port) of the terminal can satisfy the relationship shown in the following formula (2). In other words, formula (1) becomes the following formula (2):

[0136] Among them, S″ represents a spatial basis in a polarization direction, and the dimension of S″ is C′1 represents the superposition coefficient matrix of the spatial basis vectors in the spatial basis in a polarization direction, and the dimension of C′1 becomes The total number of reconstructed spatial bases is still D0.

[0137] In this case, the terminal reports S″, C′1, F′ and C3 (or S″C′1 and C3F′) in the first period. H ), and reports C2 in the second period. In other words, the CSI reported by the terminal may include S″, C′1, F′, C3 (or S″C′1, C3F′ H ), and / or C2.

[0138] 1.2, the codebook is represented by basis vectors in the joint feature subspace basis of the space-frequency domain.

[0139] The spatial-frequency domain joint characteristic subspace basis can be obtained by extracting the eigenvectors of the spatial-frequency domain covariance matrix. The spatial-frequency domain refers to the spatial domain and frequency domain corresponding to one dimension. Taking a single antenna of a terminal as an example, the channel in the spatial-frequency domain can be expressed as (N tx N f )×1 vector, so the dimension of the space-frequency domain covariance matrix corresponding to the terminal is (N tx N f )×(N tx N f ). In this case, the channel matrix H (which can also be the precoding matrix of each transmission layer of the terminal) corresponding to each antenna of the terminal (the antenna between the terminal and the network device) can satisfy the relationship shown in the following formula (3): H≈BC 11 C 21 ; (3)

[0140] Where B is the space-frequency domain basis (also called space-frequency domain basis matrix, or space-frequency basis, hereinafter referred to as space-frequency basis), and the dimension of B is (Ntx N f )×M0, M0 represents the number of space-frequency basis vectors in B (hereinafter referred to as space-frequency basis vectors); C 11 It is the superposition coefficient matrix corresponding to the space-frequency basis vector in the space-frequency basis, with dimension M0×K0, BC 11 Represents a set of K0 reconstructed space-frequency basis vectors corresponding to the linear combination of the space-frequency basis vectors in B. The reconstructed space-frequency basis is a quantitative approximation of the characteristic subspace basis of the space-frequency domain; C 21 The dimension is K0×1, which represents the superposition coefficient matrix corresponding to K0 reconstructed space-frequency bases.

[0141] The terminal reports B and C in the third cycle 11 (or BC1), report to C in the fourth cycle 21 In other words, the CSI reported by the terminal may include B, C 11 (or BC1), and / or C 21 The third period is longer than or equal to the fourth period. In other words, the terminal can report B and C in a long period. 11 (or BC1), and report to C in a short period 21 For example, the third period may be 300 ms, and the fourth period may be 5 ms. It should be understood that the third period and the fourth period are merely examples, and in actual implementation, the third period and the fourth period may have other time lengths.

[0142] The space-frequency basis vector can be obtained by the Kronecker product of the space-domain basis vector and the frequency-domain basis vector. In other words, a space-frequency basis vector can be constructed by a space-domain basis vector and a frequency-domain basis vector. The implementation of the space-domain basis vector and the frequency-domain basis vector can be referred to the relevant introduction above and will not be repeated here.

[0143] In another possible implementation, if the transmitting antenna of the network device is a dual-polarized antenna, the space-frequency covariances corresponding to the polarization directions of the two antennas can be averaged. Therefore, the dimension of the space-frequency covariance matrix at this time is The two polarization directions use the same space-frequency basis. In this case, the channel matrix H corresponding to each antenna of the terminal (the antenna between the terminal and the network device) (which can also be the precoding matrix of each transmission layer of the terminal) can satisfy the relationship shown in the following formula (4). In other words, formula (3) becomes the following formula (4):

[0144] Among them, B′ is a space-frequency matrix in the polarization direction, and the dimension of B′ is C′ 11 is a spatial frequency domain coefficient matrix in a polarization direction, C′ 11The dimension is At this time, the total number of reconstructed space-frequency basis vectors is still K0.

[0145] In this case, the terminal reports B' and C' in the third period 11 (or B′C′ 11 ) Report C in the fourth cycle 21 In other words, the CSI reported by the terminal can include B′, C′ 11 (B′C′ 11 ), and / or C 21 .

[0146] In the following embodiments of the present application, the bases reported in the first cycle or the third cycle (such as S'C1, C3F' H And BC1) is called the long-period basis, which can be a spatial basis, a frequency domain basis, or a space-frequency basis. The elements in the superposition coefficient matrix C2 reported according to the second period or the third period are called short-period coefficients.

[0147] 2. The reporting order of spatial-frequency domain coefficients.

[0148] In existing protocols, spatial-frequency domain coefficients can be reported according to different priorities. For example, different spatial-frequency domain coefficients can correspond to priority values, where a spatial-frequency domain coefficient with a smaller priority value has a higher priority and is reported more preferentially.

[0149] In the 3rd Generation Partnership Project (3GPP) technical specification release 16 enhanced type II (R16 eTypeII) codebook, the codebook structure can be expressed by the following formula (5):

[0150] Among them, W 11 Represents the spatial basis, each spatial basis vector has the form of a 2-dimensional DFT vector, W 11 The dimension is N tx ×M0,N tx is the number of transmitting antennas of the network device, M0 is the number of spatial basis vectors in the spatial basis, each spatial basis vector has only one 1 element and the rest are 0, which is used for port selection; W f Represents the frequency domain basis, dimension is N f ×N0,N f is the number of frequency domain units, the number of N0 frequency domain basis vectors, each frequency domain basis vector has the form of a DFT vector; W2 is the space-frequency superposition coefficient matrix, each element in W2 is a space-frequency superposition coefficient, and the dimension is M0×N0.

[0151] In the 3GPP R16 eTypeII codebook, the priority value of the spatial superposition coefficient in W2 satisfies the relationship shown in the following formula (6): Pri(l,i,f)=M0·υ·π(f)+υ·i+l; (6)

[0152] Wherein, π(f) satisfies the relationship shown in the following formula (7):

[0153] N f is the total number of frequency domain units, which is also the total number of frequency domain basis vectors. is the sequence number of the fth frequency domain basis selected in the lth layer among all frequency domain basis (for example, N f =6, M0=3, suppose in the lth layer, three frequency domain bases are selected from the frequency domain bases numbered 0, 1, 2, 3, 4, and 5, and the numbers are 0, 1, and 5, then

[0154] In the 3GPP technical specification release 17 further enhanced type II port selection (R17 FeTypeII) codebook, the codebook structure can be expressed by the following formula (8):

[0155] Among them, W 12 Represents the spatial basis, which is used for selecting antenna ports.

[0156] In the R17 FeTypeII codebook, the priority value of the spatial superposition coefficient in W2 satisfies the relationship shown in the following formula (9): Pri(l,i,f)=M0·υ·f+υ·i+l; (9)

[0157] Among them, M0 is the number of selected spatial bases, υ is the reported rank, f is the sequence number in the selected N0 frequency domain bases, i is the sequence number of the spatial base in the selected M0 spatial bases, and l is the sequence number of the layer.

[0158] It should be understood that in the above solution, the CSI information can be divided into part 1 (Part 1) and part 2 (Part 2), where part 1 can be used to determine the data length of part 2. Part 2 is divided into multiple groups (Groups), such as Group 0 (Group 0), Group 1 (Group 1), and Group 2 (Group 2). When the resources for carrying CSI are insufficient, the information in the lower-priority groups will be discarded, that is, not reported.

[0159] As can be seen, the first device can report channel state information based on the correlation between basis vectors at different times. For example, the first device can report the difference between basis vectors at two times. In this case, the reported information is related to the basis vectors at both times, and the first device does not directly report the basis vectors. This makes the above-mentioned solution of reporting channel state information based on the priority corresponding to the basis vectors inapplicable. Therefore, how to report channel state information based on the correlation between basis vectors at different times is an urgent problem to be solved.

[0160] Similarly, the first device can report channel state information based on the correlation between superposition coefficients at different times. For example, the first device can report the difference between the superposition coefficients at two times. In this case, the reported information is related to the superposition coefficients at both times, and the first device does not directly report the superposition coefficients. This makes the above-mentioned scheme of reporting channel state information based on the priority of the superposition coefficients inapplicable. Therefore, how to report channel state information based on the correlation between the superposition coefficients at different times is an urgent problem to be solved.

[0161] The technical solution in this application will be described below with reference to the accompanying drawings.

[0162] The technical solutions of the embodiments of the present application can be applied to various communication systems, such as wireless fidelity (WiFi) systems, vehicle to everything (V2X) communication systems, device-to-device (D2D) communication systems, Internet of Vehicles communication systems, 4th generation (4G) mobile communication systems, such as long term evolution (LTE) systems, world-wide interoperability for microwave access (WiMAX) communication systems, fifth generation (5G) mobile communication systems, such as new radio (NR) systems, and future communication systems, such as sixth generation (6G) mobile communication systems.

[0163] This application will present various aspects, embodiments, or features in the context of systems that may include multiple devices, components, modules, etc. It should be understood and appreciated that each system may include additional devices, components, modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in conjunction with the figures. Furthermore, combinations of these aspects may also be used.

[0164] Additionally, in the embodiments of this application, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as an "exemplary" should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner.

[0165] First, in this application, "used to indicate" can include being used for direct indication and being used for indirect indication. When describing a certain "information" as being used to indicate A, it can include whether the information directly indicates A or indirectly indicates A, but it does not necessarily mean that the information contains A.

[0166] The information indicated by a message is called information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, the information to be indicated can be directly indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, where there is an association between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while the other parts of the information to be indicated are known or agreed in advance. For example, the indication of specific information can be achieved by means of the arrangement order of each piece of information agreed in advance (such as specified in the protocol), thereby reducing the indication overhead to a certain extent. At the same time, the common parts of each piece of information can be identified and indicated uniformly to reduce the indication overhead caused by indicating the same information separately.

[0167] In addition, the specific indication method can also be various existing indication methods, such as but not limited to the above-mentioned indication methods and various combinations thereof. The specific details of the various indication methods can be referred to the prior art and will not be repeated herein. As can be seen from the above, for example, when it is necessary to indicate multiple information of the same type, there may be a situation where the indication methods for different information are different. In the specific implementation process, the required indication method can be selected according to specific needs. The embodiment of the present application does not limit the selected indication method. In this way, the indication method involved in the embodiment of the present application should be understood to cover various methods that can enable the party to be indicated to obtain the information to be indicated.

[0168] The information to be indicated can be sent as a whole, or divided into multiple sub-information and sent separately, and the sending period and / or sending time of these sub-information can be the same or different. The specific sending method is not limited in this application. Among them, the sending period and / or sending time of these sub-information can be predefined, for example, predefined according to the protocol, or configured by the transmitting device by sending configuration information to the receiving device. Among them, the configuration information can, for example, but not limited to, include one or a combination of at least two of radio resource control (RRC) signaling, medium access control (MAC) layer signaling and physical layer signaling. Among them, MAC layer signaling, for example, includes MAC control element (CE); physical (PHY) layer signaling, for example, includes downlink control information (DCI).

[0169] Second, in the embodiments shown below, the first, second, and various numerical numbers are only used for the convenience of description and are not intended to limit the scope of the embodiments of the present application.

[0170] Third, “pre-set”, or “pre-defined”, or “pre-configured” can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in a device (for example, including a terminal and a network device), or can be pre-specified in a protocol, and this application does not limit its specific implementation method. Among them, “saving” can mean saving in one or more memories. The one or more memories can be set separately, or integrated in an encoder or decoder, a processor, or a communication device. The one or more memories can also be partially set separately, and partially integrated in a decoder, a processor, or a communication device. The type of memory can be any form of storage medium, and this application does not limit it.

[0171] Fourth, the “protocol” involved in the embodiments of the present application may refer to a standard protocol in the field of communications, for example, it may include 3GPP’s LTE protocol (such as technical specification (TS) 36, i.e., TS36 series technical specifications), NR protocol (such as TS38 series technical specifications) and related protocols used in future communication systems. This application does not limit this.

[0172] The network architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Ordinary technicians in this field will know that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0173] The network architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Ordinary technicians in this field will know that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0174] To facilitate understanding of the embodiments of the present application, a communication system applicable to the embodiments of the present application is first described in detail using the communication system shown in Figure 2 as an example. For example, Figure 2 is a schematic diagram of the architecture of a communication system applicable to the method provided in the embodiments of the present application.

[0175] As shown in FIG2 , the communication system includes network equipment and terminals.

[0176] Exemplarily, the network devices may include network devices 201a to 201c, and the terminals may include terminals 202a to 202f. The terminals may be connected to the network devices wirelessly, and the network may be connected to the core network (not shown in FIG. 2 ) via wired or wireless means.

[0177] Among them, network devices and terminals can interact with each other.

[0178] A terminal may be a terminal with transceiver functions, or may be a chip or chip system provided in the terminal. The terminal may also be referred to as user equipment (UE), access terminal, subscriber unit, subscriber station, mobile station (MS), mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user device. The terminal in the embodiments of the present application can be a mobile phone, a cellular phone, a smart phone, a tablet computer, a wireless data card, a personal digital assistant (PDA), a wireless modem, a handheld device (handset), a laptop computer, a machine type communication (MTC) terminal, a computer with wireless transceiver function, a virtual reality (VR) terminal, an augmented reality (AR) terminal, a smart home device (for example, a refrigerator, a television, an air conditioner, an electric meter, etc.), an intelligent robot, a robotic arm, a workshop equipment, a wireless terminal in unmanned driving, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in telemedicine, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, a vehicle-mounted terminal, a roadside unit with terminal function, a roadside control unit (ROU), ... unit, RSU), etc., flying equipment (for example, intelligent robots, hot air balloons, drones, airplanes), etc. The terminal of the present application may also be an on-board module, on-board module, on-board component, on-board chip or on-board unit that is built into the vehicle as one or more components or units. The terminal may also be other devices with terminal functions. For example, the terminal may also be a device that serves as a terminal function in D2D communication. The embodiments of the present application do not limit the device form of the terminal. The device for realizing the function of the terminal may be a terminal; it may also be a device that can support the terminal to realize the function, such as a chip system. The device can be installed in the terminal or used in combination with the terminal. In the embodiments of the present application, the chip system may be composed of chips, or may include chips and other discrete devices.

[0179] The network device may be a device with wireless transceiver functions, or may be a chip or chip system provided in the device, located in the access network (AN) of the communication system, and used to provide access services to the terminal. For example, the network device may be referred to as a radio access network (RAN) device, and may specifically be an access network device of the next generation mobile communication system, such as 6G, such as a 6G base station. In the next generation mobile communication system, the network device may also have other naming methods, all of which are included in the scope of protection of the embodiments of this application, and this application does not impose any limitation on this. Alternatively, the network device may include 5G, such as a gNB in ​​a new radio (NR) system, or one or a group of antenna panels (including multiple antenna panels) of a base station in 5G, or a network node constituting a gNB, a transmission and reception point (TRP or TP), or a transmission measurement function (TMF), such as a central unit (CU), a distributed unit (DU), a CU-control plane (CP), a CU-user plane (UP), a radio unit (RU), an RSU with base station functions, a wired access gateway, or a 5G core network element. Alternatively, the network device may include an access point (AP) in a wireless fidelity (WiFi) system, a wireless relay node, a wireless backhaul node, various types of macro base stations, micro base stations (also known as small cells), relay stations, access points, wearable devices, vehicle-mounted devices, and the like.

[0180] Among them, the CU and DU can be set separately, or can also be included in the same network element, such as a baseband unit (BBU). The RU can be included in a radio frequency device or a radio frequency unit, such as a remote radio unit (RRU), an active antenna unit (AAU) or a remote radio head (RRH). It can be understood that the network device can be a CU node, a DU node, or a device including a CU node and a DU node. In addition, the CU can be divided into a network device in the access network RAN, or the CU can be divided into a network device in the core network CN, which is not limited here. In different systems, CU (or CU-CP and CU-UP), DU or RU can also have different names, but those skilled in the art can understand their meanings. For example, in the ORAN system, the CU can also be called O-CU (Open CU), the DU can also be called O-DU, the CU-CP can also be called O-CU-CP, the CU-UP can also be called O-CU-UP, and the RU can also be called O-RU. For the convenience of description, this application uses CU, CU-CP, CU-UP, DU and RU as examples for description. Any of the CU (or CU-CP, CU-UP), DU and RU in this application can be implemented by a software module, a hardware module, or a combination of a software module and a hardware module. In the embodiment of the present application, the form of the network device is not limited. The device for implementing the function of the network device can be a network device; it can also be a device that can support the network device to implement the function, such as a chip system. The device can be installed in the network device or used in combination with the network device.

[0181] As shown in Figure 3, the network device includes an RRC signaling interaction module (RRC in Figure 3), a MAC signaling interaction module (MAC in Figure 3), and a PHY signaling and data interaction module (PHY in Figure 3). The terminal also includes an RRC signaling interaction module, a MAC signaling interaction module, and a PHY signaling and data interaction module.

[0182] The network device and the terminal can exchange RRC signaling through the RRC signaling interaction module. The network device and the terminal can exchange media access control element (MAC CE) signaling through the MAC signaling interaction module. The network device and the terminal can exchange one or more of the following through the PHY interaction module: uplink control signaling, downlink control signaling (such as DCI), uplink data, and downlink data.

[0183] It should be noted that the channel state information reporting method provided in the embodiment of the present application can be applied between the nodes shown in Figure 2. For specific implementation, please refer to the following method embodiment, which will not be repeated here.

[0184] It should be noted that the solutions in the embodiments of the present application can also be applied to other communication systems, and the corresponding names can also be replaced by the names of corresponding functions in other communication systems.

[0185] It should be understood that FIG2 is only a simplified schematic diagram for ease of understanding, and the communication system may also include other network devices and / or other terminals, which are not shown in FIG2 .

[0186] The channel state information reporting method provided in the embodiment of the present application will be described in detail below with reference to Figures 4 to 9.

[0187] For example, Figure 4 is a flow chart of a channel state information reporting method according to an embodiment of the present application. The channel state information reporting method can be applied to communication between any two devices shown in Figure 4 .

[0188] In some possible embodiments, the channel state information reported by the first device to the second device includes weighting coefficients corresponding to basis vectors at different times. In this case, the difference between the weighting coefficients corresponding to the basis vectors at different times can be reported according to the priority corresponding to the weighting coefficients. The following is explained in conjunction with Figure 4. As shown in Figure 4, the channel state information reporting method includes the following steps:

[0189] S401: The second device sends a reference signal. Correspondingly, the first device receives the reference signal from the second device.

[0190] The first device is a device that reports channel state information, such as a terminal. The first device may be a terminal in the communication system provided in FIG. 2 . It should be understood that in some possible scenarios, the first device may also be a network device in the communication system provided in FIG. 2 . The second device may be a device that receives channel state information, such as a network device in the communication system provided in FIG. 2 .

[0191] For example, the reference signal may be a CSI-RS or a demodulation reference signal (DMRS). The reference signal in the embodiment of the present application is only used as an example. In actual implementation, the reference signal may also be other possible reference signals, which will not be described in detail here.

[0192] S402: The first device sends first indication information to the second device. Correspondingly, the second device receives the first indication information from the first device.

[0193] The first indication information is used to indicate: at least part of the first weighting coefficients of the plurality of first weighting coefficients that associate each first basis vector in the first basis with each second basis vector in the second basis.

[0194] The first basis is determined by the first device at the first moment based on the reference signal, and the first basis may include one or more first basis vectors. The first basis may be a spatial basis, such as the aforementioned S′C1 or S″C′1 determined at the first moment based on the reference signal, and accordingly, the first basis vectors are spatial basis vectors. Alternatively, the first basis may be a frequency domain basis, such as the aforementioned F′C3 determined at the first moment based on the reference signal. H , accordingly, the first basis vector is a frequency domain basis vector. Alternatively, the first basis can be a space-frequency basis, such as BC1 or B′C′ determined according to the reference signal at the first moment. 11 , accordingly, the first basis vector is the space-frequency basis vector.

[0195] The second basis is the basis reported by the first device at the second moment, which is before the first moment. The second basis may include one or more second basis vectors. The second basis may be a spatial basis, such as S′C1 or S″C′1 reported at the second moment, where the second basis vectors are spatial basis vectors. Alternatively, the second basis may be a frequency domain basis, such as F′C3 reported at the second moment. H , accordingly, the second basis vector is a frequency domain basis vector. Alternatively, the second basis can be a space-frequency basis, such as BC1 or B′C′ reported at the second moment 11 , accordingly, the second basis vector is the space-frequency basis vector.

[0196] The type of the first basis is the same as the type of the second basis. For example, both the first basis and the second basis are spatial basis. Or both the first basis and the second basis are frequency domain basis. Or both the first basis and the second basis are space-frequency basis. Accordingly, the first basis vector and the second basis vector are the same type. For example, both the first basis vector and the second basis vector are spatial basis vectors, or both the first basis vector and the second basis vector are frequency domain basis vectors, or both the first basis vector and the second basis vector are space-frequency basis vectors. When the first basis vector is a spatial basis vector and the second basis vector is a spatial basis vector, indication of the spatial basis can be achieved. When the first basis vector is a frequency domain basis vector and the second basis vector is a frequency domain basis vector, indication of the frequency domain basis vector can be achieved. When the first basis vector is a space-frequency basis vector and the second basis vector is a space-frequency basis vector, indication of the space-frequency basis vector can be achieved.

[0197] Each first basis vector in the first basis is associated with each second basis vector in the second basis. Alternatively, each first basis vector in the first basis is projected onto the second basis vector, or each first basis vector in the first basis is mapped onto each second basis vector in the second basis, or each first basis vector in the first basis corresponds to each second basis vector in the second basis. Alternatively, it can be understood that the first basis is associated with the second basis, the first basis is projected onto the second basis, or the first basis is mapped onto the second basis, or the first basis corresponds to the second basis.

[0198] The first indication information is used to indicate: multiple first weighting coefficients that associate each first basis vector in the first basis with each second basis vector in the second basis, or multiple projection coefficients that map (project) each first basis vector in the first basis onto each second basis vector in the second basis. Each first basis vector associated with each second basis vector corresponds to one first weighting coefficient. The weighting coefficient may also be called a projection coefficient.

[0199] For ease of understanding, the first weighting coefficient is described below with an example.

[0200] Assume that the first moment is t and the first basis is U t , the second moment is t-1, and the second basis is Then the weighting coefficient matrix C composed of multiple first weighting coefficients 1,c The relationship shown in the following formula (10) is satisfied:

[0201] for The conjugate transpose of the weighting coefficient matrix C composed of multiple first weighting coefficients 1,c Each element in is a first weighting coefficient. 1,c The element in the j-th row and the i-th column is the first weighting coefficient that associates the i+1-th first basis vector in the first basis to the j+1-th second basis vector in the second basis.

[0202] The first substrate is associated with the second substrate. In other words, the projection of the first base on the second base is

[0203] At least part of the first weighting coefficients may be a weighting coefficient matrix C 1,c It should be understood that the weighting coefficient matrix C 1,c It can also be called the common spatial coefficient matrix between the first basis and the second basis. The first weighting coefficient can also be called the common spatial coefficient between the first basis vector in the first basis and the second basis vector in the second basis.

[0204] Each of at least some of the first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is determined according to one or more of the following: the total number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the i+1th first basis vector in the first basis and the index of the j+1th second basis vector in the second basis, 0≤i <M, And i,j,M and It should be understood that the index of a basis vector in a basis is used to indicate the basis vector among the multiple basis vectors contained in the basis, such as the number of the basis vector among the multiple basis vectors, which basis vector among the multiple basis vectors, etc.

[0205] It can be understood that the "index" in the embodiments of the present application is only used as an example. In actual implementation, the "index" can also use other names, such as "serial number", "identification", etc., which are not limited in the embodiments of the present application.

[0206] It should be understood that the first basis and the second basis are both basis of the same type, such as a basis constructed by basis vectors selected from a spatial basis, a frequency domain basis, or a space-frequency domain basis, and the number of basis vectors in the first basis may be the same as or different from the number of basis vectors in the second basis.

[0207] Among them, the priority corresponding to a first weighting coefficient is used to determine the order in which the first weighting coefficient is reported. The first weighting coefficient with a higher priority is reported earlier, and the first weighting coefficient with a lower priority is reported later. The index of the i+1th first basis vector can be i or i+1. For example, the index of the first first basis vector can be 0 or 1. Similarly, the index of the j+1th second basis vector can be j or j+1. For example, the index of the first second basis vector can be 0 or 1.

[0208] In one possible implementation, the priority of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis.

[0209] The priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is determined based on the index of the i+1th first basis vector in the first basis and the index of the j+1th second basis vector in the second basis.

[0210] In one possible implementation, the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis and the j+1th second basis vector in the second basis is ∝Pri(i,j). In other words, the priority value of the first weighting coefficient is positively correlated with the value of Pri(i,j); or, the priority value of the first weighting coefficient is negatively correlated with the value of Pri(i,j).

[0211] For example, assuming that i is the index of the i+1th first basis vector and j is the index of the j+1th second basis vector, the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis satisfies the relationship shown in the following formula (11):

[0212] Here, Pri(i,j) represents the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis with the j+1th second basis vector in the second basis. f(j) is determined based on j, or in other words, is a function of j. For example, f(j) increases or decreases with j.

[0213] In this way, a priority is calculated for each first weighting coefficient, and the first weighting coefficients can be reported according to priority. For example, if f(j) increases with j, when the importance of the second basis vector is negatively correlated with the index size, information that is more important to the channel state information can be reported preferentially. If f(j) decreases with j, when the importance of the second basis vector is positively correlated with the index size, information that is more important to the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information. In addition, different priority calculation methods can be matched based on the relationship between the importance of different basis vectors and the index of the basis vectors to improve applicability.

[0214] f(j) increases with j, or we can say that f(j) is an increasing function of j. For example, f(j) can satisfy the following relationship shown in formula (12): f(j) = j; (12)

[0215] f(j) decreases with j, or we can say that f(j) is a decreasing function of j. For example, f(j) can satisfy the relationship shown in the following formula (13).

[0216] It should be understood that f(j) in formula (12) and formula (13) is only used for example. In actual implementation, f(j) may also be realized in other possible ways.

[0217] For another example, the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis and the j+1th second basis vector in the second basis satisfies the relationship shown in the following formula (14):

[0218] It should be understood that the priority of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis can also be positively correlated with the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis. The specific implementation principle is similar to the case where the priority of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis, and will not be repeated here.

[0219] After the first basis is projected onto the second basis, some information may be lost. In other words, there may be some information in the first basis that cannot be represented by the first basis. In this case, the channel state information can also be used to indicate the information in the first basis that cannot be represented by the first basis. t , the second base is The matrix composed of multiple first weighted coefficients is C 1,c For example, the information in the first basis that cannot be expressed by the first basis satisfies the relationship shown in the following formula (15):

[0220] Among them, ΔU t The difference matrix represents the information in the first basis that cannot be represented by the first basis, that is, the difference between the first basis and its projection on the second basis.

[0221] Based on this, in one possible implementation, the first indication information is also used to indicate multiple second weighting coefficients and a third basis, and the second basis, the first weighting coefficient corresponding to the second basis, the third basis, and the multiple second weighting coefficients corresponding to the third basis are used to determine the first basis.

[0222] The first indication information indicates the second weighting coefficient and the third basis, which can improve the accuracy of the channel state information.

[0223] The third basis may be a basis consisting of K1 projection basis vectors selected from the first projection basis. The third basis may be used to quantize elements in a difference coefficient matrix between the first basis and its projection on the second basis. The length of the third basis vectors in the third basis is the same as the length of the first basis vectors. In other words, the number of elements in the third basis vectors is equal to the number of elements in the first basis.

[0224] Among them, M, The value of K1 is indicated by the network device, such as the network device can indicate M through signaling. The value of K1.

[0225] The first projection basis may include multiple projection basis vectors. The multiple projection basis vectors in the first projection basis may be orthogonal to each other. For example, if the first basis and the second basis are spatial basis, the projection basis vectors in the first projection basis may be 2D-DFT vectors; if the first basis and the second basis are frequency domain basis, the basis vectors in the projection basis may be 1-dimensional DFT vectors; if the first basis and the second basis are space-frequency basis, the projection basis vectors in the projection basis may be the Kronecker product of the 2D-DFT vector and the 1-dimensional DFT vector. The basis vectors in the third basis may be K1 such that ‖d H ΔU t ‖The largest projection basis vector is formed, where d represents a projection basis vector in the first projection basis, d H represents the conjugate transpose of d, and ‖‖ represents the F norm.

[0226] It should be understood that the multiple projection basis vectors in the first projection basis can also be non-orthogonal. For example, if the first basis and the second basis are spatial basis, the multiple projection basis vectors in the first projection basis can be obtained by oversampling the 2D-DFT basis. If the first basis and the second basis are frequency basis, the multiple projection basis vectors in the first projection basis can be obtained by oversampling the DFT basis. If the first basis and the second basis are space-frequency basis, the first projection basis can be composed of the Kronecker product of the oversampled 2D-DFT vectors and the oversampled 1-dimensional DFT vectors. In this case, the selection of the K1 projection basis vectors can adopt the algorithm used in compressed sensing, which will not be further described here.

[0227] The second weighting coefficient is a projection coefficient of a vector in the difference matrix projected onto a third basis vector in the third basis.

[0228] The matrix composed of multiple weighted coefficients is C 1,d , where C 1,d Each element in corresponds to a second weighting coefficient.

[0229] C 1,d The relationship shown in the following formula (16) is satisfied:

[0230] Where D is the third base, represents the pseudo-inverse of D.

[0231] Based on the above formula (16), we can know that ΔU t It also satisfies the relationship shown in the following formula (17): ΔU t ≈DC 1,d ; (17)

[0232] In one possible implementation, the priority of all second weighting coefficients is lower than the priority of any first weighting coefficient. That is, the reporting order of any first weighting coefficient is earlier than the reporting order of any second weighting coefficient. In other words, the first weighting coefficient can be reported with priority over the second weighting coefficient.

[0233] In one possible implementation, the priority of associating the first vector corresponding to the i+1th first basis vector in the first basis to the second weighting coefficient on the k+1th third basis vector in the third basis is related to the total number of third basis vectors in the third basis, the first basis vector corresponding to the second weighting coefficient, and the third basis vector corresponding to the second weighting coefficient. The first vector corresponding to the i+1th first basis vector in the first basis is the difference between the i+1th first basis vector in the first basis and the vector associating the i+1th first basis vector to the second basis, i.e., the matrix ΔU t The priority of the i+1th column. k is an integer.

[0234] In this way, the priority is calculated for each second weighting coefficient respectively, and the second weighting coefficient can be reported according to the priority. For example, information important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0235] In one possible implementation, the priority of the second weighting coefficient of the first vector corresponding to the i+1th first basis vector in the first basis being associated to the k+1th third basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient of the first vector corresponding to the i+1th first basis vector in the first basis being associated to the k+1th third basis vector in the third basis.

[0236] The priority value of the second weighting coefficient of the first vector corresponding to the i+1th first basis vector in the first basis is associated with the k+1th third basis vector in the third basis, and is determined based on the index of the i+1th first basis vector and the index of the k+1th third basis vector.

[0237] In one possible design, the first vector corresponding to the i+1th first basis vector in the first basis is associated with the priority value ∝Pri(i,k) of the second weighting coefficient on the k+1th third basis vector in the third basis. Alternatively, the priority value of the second weighting coefficient is positively correlated with the value of Pri(i,k); alternatively, the priority value of the second weighting coefficient is negatively correlated with the value of Pri(i,k).

[0238] The priority value of the second weighting coefficient corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis satisfies the relationship shown in the following formula (18): Pri(i,k) = K1φ(i) + f′(k); (18)

[0239] Among them, Pri(i,k) represents the priority value of the second weighting coefficient corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis. K1 is the total number of third basis vectors in the third basis. φ(i) is determined according to i. It can also be said that φ(i) is a function of i. f′(k) is determined according to k. It can also be said that f′(k) is a function of k. For example, φ(i) increases or decreases with i, and f′(k) increases or decreases with k. 0 ≤ i < M, 0 ≤ k < K1, and K1 is an integer.

[0240] In this way, the priority can be calculated for each second weighting coefficient respectively, and the second weighting coefficient can be reported according to the priority. For example, when φ(i) increases with i and f′(k) increases with k, in the case where the importance of the first basis vector is negatively correlated with the index of the first basis vector and the importance of the third basis vector is negatively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially; when φ(i) increases with i and f′(k) decreases with k, in the case where the importance of the first basis vector is negatively correlated with the index of the first basis vector and the importance of the third basis vector is positively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially; when φ(i) decreases with i and f′(k) increases with k, in the case where the importance of the first basis vector is positively correlated with the index of the first basis vector and the importance of the third basis vector is negatively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially; when φ(i) decreases with i and f′(k) decreases with k, in the case where the importance of the first basis vector is positively correlated with the index of the first basis vector and the importance of the third basis vector is positively correlated with the index of the third basis vector, the information more important for the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information. In addition, different priority calculation methods can also be matched according to the relationship between the importance of the basis vector and the index of the basis vector to improve the applicability.

[0241] φ(i) increases with i. It can also be said that φ(i) is an increasing function of i, and it can satisfy the relationship shown in the following formula (19): φ(i) = i; (19)

[0242] φ(i) decreases with i. It can also be said that φ(i) is a decreasing function of i. For example, φ(i) can satisfy the relationship shown in the following formula (20). φ(i) = M - 1 - i; (20)

[0243] It should be understood that φ(i) in formula (19) and formula (20) is only used for example. In actual implementation, φ(i) may also be realized in other possible ways.

[0244] f′(k) increases with k, or f′(k) is an increasing function of j, which satisfies the following relationship shown in formula (21): f′(k)=k; (21)

[0245] f′(k) decreases with k, or it can be said that f′(k) is a decreasing function of j, such as f(j) can satisfy the relationship shown in the following formula (22). f′(k)=K1-1-k; (22)

[0246] It should be understood that f′(k) in formula (21) and formula (22) is only used for example. In actual implementation, f′(k) may also be realized in other possible ways.

[0247] In this way, the priority is calculated for each second weighting coefficient respectively, and the second weighting coefficient can be reported according to the priority. For example, information important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0248] It should be understood that the priority of the first vector corresponding to the i+1th first basis vector in the first basis associated with the second weighting coefficient on the k+1th third basis vector in the third basis may be negatively correlated with the priority value of the first vector corresponding to the i+1th first basis vector in the first basis associated with the second weighting coefficient on the k+1th third basis vector in the third basis. In this case, the specific implementation can refer to the priority of the first vector corresponding to the i+1th first basis vector in the first basis associated with the second weighting coefficient on the k+1th third basis vector in the third basis, which is similar to the case when the priority value of the first vector corresponding to the i+1th first basis vector in the first basis is negatively correlated with the second weighting coefficient on the k+1th third basis vector in the third basis, and no further details will be given here.

[0249] In one possible implementation scheme, the priority of the second weighting coefficient of the first vector corresponding to the i+1th first basis vector in the first basis to the third basis vector corresponding to the s+1th spatial domain basis vector and the f+1th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient of the first vector corresponding to the i+1th first basis vector in the first basis to the third basis vector corresponding to the s+1th spatial domain basis vector and the f+1th frequency domain basis vector in the third basis.

[0250] The priority value of the second weighting coefficient of the first vector corresponding to the i+1th first basis vector in the first basis to the third basis vector corresponding to the s+1th spatial domain basis vector and the f+1th frequency domain basis vector in the third basis is determined based on the index of the first basis vector, the index of the spatial domain basis vector corresponding to the third basis vector in the third basis, and the index of the frequency domain basis vector.

[0251] In one possible design, the priority value of the second weighting coefficient associated with the first vector corresponding to the i+1th first basis vector in the first basis and the third basis vector corresponding to the s+1th spatial basis vector and the f+1th frequency basis vector in the third basis is ∝Pri(s,f,i). In other words, the priority value of the second weighting coefficient is positively correlated with Pri(s,f,i); alternatively, the priority value of the second weighting coefficient is negatively correlated with Pri(s,f,i).

[0252] The priority value of the second weighting coefficient associated with the first vector corresponding to the i+1th first basis vector in the first basis to the third basis vector corresponding to the s+1th spatial basis vector and the f+1th frequency-domain basis vector in the third basis is related to one or more of the following: the number of spatial basis vectors corresponding to the third basis, the total number of first basis vectors in the first basis, the frequency-domain basis vector corresponding to the second weighting coefficient, or the first basis vector corresponding to the second weighting coefficient. s and f are both integers.

[0253] In a possible implementation, the priority values ​​of the second weighting coefficients of the first vector corresponding to the i+1th first basis vector in the first basis and the third basis vector corresponding to the s+1th spatial basis vector and the f+1th frequency basis vector in the third basis satisfy the relationship shown in the following formula (23): Pri(s,f,i)=LMπ(f)+Lφ(i)+s; (23)

[0254] Among them, Pri(s, f, i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. L is the total number of spatial domain basis vectors corresponding to the third basis. π(f) is a function of f, and φ(i) is determined according to i. For the specific implementation, reference can be made to the relevant introduction of φ(i) mentioned above. 0 ≤ f < F, where F is the total number of frequency domain basis vectors corresponding to the third basis, and 0 ≤ s < L. Both L and F are integers. In this way, the priority can be calculated for each second weighting coefficient respectively, and the second weighting coefficient can be reported according to the priority. For example, if φ(i) increases with i, when the importance of the first basis vector is negatively correlated with the index of the first basis vector, the information more important for the channel state information can be reported preferentially; if φ(i) decreases with i, when the importance of the first basis vector is positively correlated with the index of the first basis vector, the information important for the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information. In addition, different priority calculation methods can be matched according to the relationship between the importance of the basis vector and the index of the basis vector to improve the applicability.

[0255] In a possible implementation, π(f) increases or decreases with f. When π(f) increases with f, it can also be said that π(f) is an increasing function of f. When π(f) decreases with f, it can also be said that π(f) is a decreasing function of f. For the implementation of π(f), reference can be made to the relevant introduction of f(j), which will not be elaborated here.

[0256] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient.

[0257] The priority value of the second weighting coefficient corresponding to the first vector corresponding to the i-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the total number of spatial domain basis vectors corresponding to the third basis, the frequency domain basis vector corresponding to the second weighting coefficient, the first basis vector corresponding to the second weighting coefficient, or the total number of frequency domain basis vectors corresponding to the third basis.

[0258] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the relationship shown in the following formula (24): Pri(s,f,i) = LFφ(i) + Lπ(f) + s; (24)

[0259] Where Pri(s,f,i) represents the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, and φ(i) is determined according to i. For the specific implementation, reference can be made to the relevant introduction of φ(i) above. 0 ≤ f < F, where F is the total number of frequency domain basis vectors corresponding to the third basis, and 0 ≤ s < L.

[0260] In this way, the priority can be calculated for each second weighting coefficient, and the second weighting coefficients can be reported according to the priority. For example, if φ(i) increases with i, when the importance of the first basis vector is negatively correlated with the index of the first basis vector, the information important for the channel state information can be reported preferentially; if φ(i) decreases with i, when the importance of the first basis vector is positively correlated with the index of the first basis vector, the information important for the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information. In addition, different priority calculation methods can be matched according to the relationship between the importance of the basis vector and the index of the basis vector to improve the applicability.

[0261] It should be understood that the priority of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis may be positively correlated with the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. In this case, the specific implementation principle is similar to that when the priority of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, and will not be elaborated here.

[0262] In the embodiment of the present application, all first weighting coefficients can be divided into multiple groups. For example, the first weighting coefficients are sorted from small to large according to priority value, and then divided into X1 groups in sequence, and then sequentially numbered as group 0, group 1, ..., group (X1-1).

[0263] One possible implementation consists of each group containing The priority of any first weighting coefficient in the x1′th group is higher than the priority of all first weighting coefficients in the x1′+1th group. Indicates a round-up operation.

[0264] In addition, in the embodiment of the present application, all second weighting coefficients can be divided into multiple groups. For example, the second weighting coefficients are sorted from small to large according to priority value, and then divided into X2 groups in order, and then numbered as group 0, group 1, ..., group (X2-1).

[0265] One possible implementation consists of each group containing The priority of any second weighting coefficient in the x2′th group is higher than the priority of all second weighting coefficients in the x2′+1th group.

[0266] As shown in Figure 5, in some possible embodiments, both the spatial domain basis and the frequency domain basis need to be reported, and the first weighting coefficient includes the first weighting coefficient corresponding to the spatial domain basis and the weighting coefficient corresponding to the frequency domain basis. In this case, the first weighting coefficient corresponding to the spatial domain basis can be divided into X2 groups, and the first weighting coefficient corresponding to the frequency domain basis is divided into X2 groups. At this time, the priority of the groups of the first weighting coefficients is from high to low: the first weighting coefficient of group 0 corresponding to the frequency domain basis, the first weighting coefficient of group 0 corresponding to the spatial domain basis, the first weighting coefficient of group 1 corresponding to the frequency domain basis, the first weighting coefficient of group 1 corresponding to the spatial domain basis, ..., the first weighting coefficient of group X2-1 corresponding to the frequency domain basis, and the first weighting coefficient of group X2-1 corresponding to the spatial domain basis.

[0267] Correspondingly, the second weighting coefficient includes a second weighting coefficient corresponding to the spatial basis and a second weighting coefficient corresponding to the frequency domain basis. The second weighting coefficient corresponding to the spatial basis can be divided into X2 groups, and the first weighting coefficient corresponding to the frequency domain basis is divided into X2 groups. In this case, the priority of the second weighting coefficient groups is from high to low: the 0th group of second weighting coefficients corresponding to the frequency domain basis, the 0th group of second weighting coefficients corresponding to the spatial basis, the 1st group of second weighting coefficients corresponding to the frequency domain basis, the 1st group of second weighting coefficients corresponding to the spatial basis, ..., the X2-1th group of second weighting coefficients corresponding to the frequency domain basis, and the X2-1th group of second weighting coefficients corresponding to the spatial basis.

[0268] It should be understood that the priority order of the groups shown in FIG5 is for example only. For example, the positions of the groups corresponding to the spatial basis and the groups corresponding to the frequency domain basis can be interchanged. The priority of the groups of the first weighting coefficients is as follows from high to low: the first weighting coefficient of the 0th group corresponding to the spatial basis, the first weighting coefficient of the 0th group corresponding to the frequency domain basis, the first weighting coefficient of the 1st group corresponding to the spatial basis, the first weighting coefficient of the 1st group corresponding to the frequency domain basis, ..., the first weighting coefficient of the X1-1th group corresponding to the spatial basis, and the first weighting coefficient of the X1-1th group corresponding to the frequency domain basis.

[0269] The priority of the groups of second weighting coefficients from high to low is: the 0th group of second weighting coefficients corresponding to the spatial basis, the 0th group of second weighting coefficients corresponding to the frequency domain basis, the 1st group of second weighting coefficients corresponding to the spatial basis, the 1st group of second weighting coefficients corresponding to the frequency domain basis,..., the X2-1th group of second weighting coefficients corresponding to the spatial basis, and the X2-1th group of second weighting coefficients corresponding to the frequency domain basis.

[0270] As shown in Figure 6, in some possible embodiments, the space-frequency base is reported, and the first weighting coefficient includes the first weighting coefficient corresponding to the space-frequency base. In this case, the first weighting coefficient corresponding to the space-frequency base can be divided into X1 groups. At this time, the priority of the groups of the first weighting coefficients is from high to low: the first weighting coefficient of the 0th group corresponding to the space-frequency base, the first weighting coefficient of the 1st group corresponding to the space-frequency base,..., the first weighting coefficient of the X1-1th group corresponding to the space-frequency base.

[0271] Accordingly, the second weighting coefficients include the second weighting coefficients corresponding to the space-frequency base, and the second weighting coefficients corresponding to the space-frequency base can be divided into X2 groups. In this case, the priority of the second weighting coefficient groups is, from high to low, as follows: the 0th group of second weighting coefficients corresponding to the space-frequency base, the 1st group of second weighting coefficients corresponding to the space-frequency base, ..., the X2-1th group of second weighting coefficients corresponding to the space-frequency base.

[0272] It should be understood that in the embodiment of the present application, since different first weighting coefficients and second weighting coefficients have different priorities, the ones with higher priorities are reported first. If the transmission resources cannot transmit all the remaining weighting coefficients, the weighting coefficients with higher priorities will be uploaded first, and the weighting coefficients with lower priorities will be discarded, or the weighting coefficients with lower priorities will be transmitted in the next transmission process.

[0273] S403: The second device determines the first base according to the first indication information.

[0274] In one possible implementation, the second device may restore the first basis based on the first weighting coefficient and the second basis. For example, the first basis determined by the second device may satisfy the relationship shown in the following formula (25):

[0275] In one possible implementation, when the first indication information further includes multiple second weighting coefficients, the first device may determine the first basis based on the first weighting coefficient, the second weighting coefficient, the second basis, and the third basis. For example, the first basis determined by the second device may satisfy the relationship shown in the following formula (26):

[0276] The third basis may be agreed upon by the protocol or indicated by the first device.

[0277] Based on the method provided in FIG4 , a first device may receive a reference signal and transmit first indication information indicating at least some of the first weighting coefficients, i.e., coefficients used to represent the correlation between basis vectors at different times, such as the first basis vector and the second basis vector. Each of the at least some of the first weighting coefficients corresponds to a priority, and the priority of the first weighting coefficient for associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is determined based on one or more of the following: the total number of first basis vectors in the first basis, the number of second basis vectors in the second basis, the index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis. This allows the first device to report channel state information based on the priorities of the multiple first weighting coefficients. Since the first weighting coefficients are correlation coefficients between basis vectors at different times, they can be used to represent the correlation between basis vectors at different times. Thus, channel state information can be reported based on the correlation between basis vectors at different times, such as the first basis vector and the second basis vector.

[0278] In some possible embodiments, the channel state information reported by the first device to the second device includes the difference between the superposition coefficients corresponding to the space-frequency basis vectors at different times. In this case, the difference between the superposition coefficients corresponding to the space-frequency basis vectors at different times can be reported according to the priority corresponding to the difference. The following is described in conjunction with Figure 7. As shown in Figure 7, the method includes:

[0279] S701: A second device sends a reference signal to a first device. Correspondingly, the first device receives the reference signal from the second device.

[0280] Regarding the implementation of the first device, the second device and the reference signal, reference may be made to the relevant introduction in S401. Regarding the implementation of S701, reference may be made to the relevant introduction in S401, which will not be repeated here.

[0281] It should be understood that the reference signal in the method provided in FIG. 7 and the reference signal in the method provided in FIG. 4 may be the same reference signal. The reference signal in FIG. 7 and the reference signal in FIG. 4 may also be different reference signals. For example, the reference signal in FIG. 4 may be the first reference signal, and the reference signal in FIG. 7 may be the second reference signal.

[0282] S702, the first device sends second indication information to the second device. Correspondingly, the second device receives the second indication information from the first device.

[0283] Among them, the second indication information is determined by the first device according to the reference signal, and the second indication information is used to indicate at least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The multiple superposition coefficient differences include the differences between the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the third moment and the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the fourth moment. The first spatial-frequency basis includes at least part of the spatial-frequency basis vectors determined according to the reference signal. The fourth moment is earlier than the third moment, and G is an integer greater than 0. At least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors is related to the priority of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The priority of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device on the (g + 1)-th fourth basis vector is related to G and the number of transmission layers or the number of antenna ports of the first device reported by the first device. 0 ≤ g < G, g is an integer, 1 ≤ l ≤ v, and v represents the number of transmission layers or the number of antenna ports of the first device reported by the first device.

[0284] The l-th transmission layer or the antenna port of the first device refers to the l-th transmission layer or the l-th antenna port of the first device. If the l-th transmission layer or the antenna port of the first device refers to the l-th transmission layer, then v represents the number of transmission layers reported by the first device. If the l-th transmission layer or the antenna port of the first device refers to the l-th antenna port of the first device, then v represents the number of antenna ports of the first device.

[0285] The first superposition coefficient corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the third moment may include each element in C2 at the third moment. In this case, the first superposition coefficient corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the fourth moment may include each element in C2 at the fourth moment.

[0286] Alternatively, the first superposition coefficient corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the third moment may include C at the third moment 21In this case, the first superposition coefficient corresponding to each space-frequency basis vector in the first space-frequency basis at the fourth moment may include C at the fourth moment. 21 Each element in .

[0287] Alternatively, the first superposition coefficient corresponding to each space-frequency basis vector in the first space-frequency basis at the third moment may include each element in W2 at the third moment. In this case, the first superposition coefficient corresponding to each space-frequency basis vector in the first space-frequency basis at the fourth moment may include each element in W2 at the fourth moment.

[0288] The first space-frequency basis includes at least a portion of the space-frequency basis vectors in the space-frequency basis determined based on the reference signal. If the first space-frequency basis includes a portion of the space-frequency basis vectors in the space-frequency basis determined based on the reference signal, then the space-frequency basis vectors in the space-frequency basis determined based on the reference signal, excluding the space-frequency basis vectors in the first space-frequency basis, may constitute the second space-frequency basis. It should be understood that the first spatial basis may be the same or different at different times. The space-frequency basis determined based on the reference signal refers to the space-frequency basis composed of the spatial basis vectors and frequency-domain basis vectors used to characterize the channel matrix of the terminal.

[0289] Among them, the difference between multiple superposition coefficients satisfies the relationship shown in the following formula (27): ΔC2 t′ =C2 t′ -C2 t′-1 ; (27)

[0290] Among them, t' is the third moment, ΔC2 t′ A matrix constructed for multiple superposition coefficient differences, where each element is a superposition coefficient difference; C2 t′ is the first superposition coefficient matrix composed of the first superposition coefficients corresponding to each space-frequency basis vector in the first space-frequency basis at the third moment, t′-1 is the fourth moment, C2 t′-1 The second superposition coefficient matrix is ​​formed by the first superposition coefficient corresponding to each space-frequency basis vector in the first space-frequency basis at the fourth moment. For different moments, the first space-frequency basis can be different, in which case the second space-frequency basis is also different.

[0291] For ease of understanding, the following superposition coefficient matrix C2 composed of the superposition coefficients of the space-frequency basis determined according to the reference signal is taken as an example. As shown in Figure 8, the superposition coefficient matrix C2 is divided into two parts, namely the superposition coefficient matrix corresponding to the space-frequency basis 1 and the superposition coefficient matrix corresponding to the space-frequency basis 2. At time t0, the two parts of C2 are reported for the first time. At this time, the superposition coefficient matrix corresponding to the space-frequency basis 1 can be reported. The superposition coefficient matrix corresponding to the space-frequency basis 2

[0292] At time t1, the superposition coefficient matrix of space-frequency base 1 at time t1 can be reported And the difference coefficient matrix between the superposition coefficient matrix corresponding to the space-frequency base 2 at time t1 and the superposition coefficient matrix of the space-frequency base 2 at time t0 At this time, t′=t1, t′-1=t0, the first space-frequency basis is space-frequency basis 2, the second space-frequency basis is space-frequency basis 1,

[0293] At time t2, the difference coefficient matrix between the superposition coefficient matrix of space-frequency base 1 at time t2 and the superposition coefficient matrix of space-frequency base 1 at time t1 can be reported. And the superposition coefficient matrix corresponding to the space-frequency basis 2 at time t2 At this time, t′=t2, t′-1=t1, the first space-frequency basis is space-frequency basis 1, the second space-frequency basis is space-frequency basis 2,

[0294] At time t3, the superposition coefficient matrix of space-frequency base 1 at time t3 can be reported And the difference coefficient matrix between the superposition coefficient matrix corresponding to the space-frequency base 2 at time t3 and the superposition coefficient matrix of the space-frequency base 2 at time t2 At this time, t′=t3, t′-1=t2, the first space-frequency basis is space-frequency basis 2, the second space-frequency basis is space-frequency basis 1,

[0295] At time t4, the difference coefficient matrix between the superposition coefficient matrix of space-frequency base 1 at time t4 and the superposition coefficient matrix of space-frequency base 1 at time t3 can be reported. And the superposition coefficient matrix corresponding to the space-frequency basis 2 at time t4 At this time, t′=t4, t′-1=t3, the first space-frequency basis is space-frequency basis 1, the second space-frequency basis is space-frequency basis 2,

[0296] The solution provided in FIG8 is for example only. It is understood that the first space-frequency basis may be the same for different moments. In this case, the second space-frequency basis is also the same. In addition, the superposition coefficient matrix may be divided into more parts, which will not be described in detail here.

[0297] The G fourth basis vectors may be G projection basis vectors selected from the second projection basis, and the G fourth basis vectors may be used to quantize the multiple superposition coefficient differences. The length of the fourth basis vector is consistent with the length of the vector constructed by the superposition coefficient differences corresponding to the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences. In other words, the number of elements in the fourth basis vector is equal to the number of elements in the vector constructed by the superposition coefficient differences corresponding to the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences.

[0298] The multiple superposition coefficient differences are based on quantized information of the G fourth basis vectors, that is, the vector constructed by the superposition coefficients corresponding to each transmission layer or the antenna port of the first device in the multiple superposition coefficient differences is associated with the third weighting coefficient on the G fourth basis vectors, or in other words, the projection coefficient of the projection of the vector constructed by the superposition coefficients corresponding to each transmission layer or the antenna port of the first device in the multiple superposition coefficient differences on the G fourth basis vectors. The matrix constructed by the projection of the vector constructed by the superposition coefficients corresponding to each transmission layer or the antenna port of the first device in the multiple superposition coefficient differences on the G fourth basis vectors, that is, the projection matrix satisfies the relationship shown in the following formula (28):

[0299] D′ is the matrix constructed by G fourth basis vectors, represents the pseudo-inverse of D′, The quantization matrix is ​​constructed based on the quantization information of G fourth basis vectors for multiple superposition coefficient differences.

[0300] Each element in the above projection matrix can also be called a differential coefficient.

[0301] In one possible implementation scheme, the priority of the quantization information on the g+1th fourth basis vector associated with the superposition coefficient difference corresponding to the antenna port of the lth transmission layer or the first device among multiple superposition coefficient differences is negatively correlated with the priority value of the quantization information on the g+1th fourth basis vector associated with the superposition coefficient difference corresponding to the antenna port of the lth transmission layer or the first device among multiple superposition coefficient differences.

[0302] The priority value of the superposition coefficient difference corresponding to the antenna port of the lth transmission layer or the first device among multiple superposition coefficient differences associated with the quantization information on the g+1th fourth basis vector is determined based on the index of the transmission layer and the index of the g+1th fourth basis vector.

[0303] The index of the lth transmission layer can be l or l+1. For example, the index of the first transmission layer can be 0 or 1. Similarly, the index of the g+1th fourth basis vector can be g or g+1. For example, the index of the first fourth basis vector can be 0 or 1.

[0304] In one possible implementation, the priority value of the quantization information associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences is ∝Pri(l,g). Alternatively, the priority value of the quantization information associated with the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences is positively correlated with the value of Pri(l,g); or the priority value of the quantization information associated with the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences is negatively correlated with the value of Pri(l,g).

[0305] Among the multiple superposition coefficient differences, the priority value of the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device is associated with the quantization information on the g+1th fourth basis vector, which satisfies the relationship shown in the following formula (29): Pri(l,g)=vg+l; (29)

[0306] Among them, Pri(l,g) represents the priority value of the quantization information on the g+1th fourth basis vector associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device among multiple superposition coefficient differences.

[0307] Alternatively, the priority value of the quantization information associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences and the g+1th fourth basis vector satisfies the relationship shown in the following formula (30): Pri(l,g)=2vg+l; (30)

[0308] Alternatively, the priority value of the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device in the multiple superposition coefficient differences and the quantization information on the g+1th fourth basis vector satisfies the relationship shown in the following formula (31): Pri(l,g)=vg 2 +l; (31)

[0309] It should be understood that among the multiple superposition coefficient differences, each superposition coefficient difference corresponds to a priority. The priority of each superposition coefficient difference can be used to indicate the order in which the superposition coefficient difference is reported. The higher the priority of a superposition coefficient difference, the earlier it is reported. The lower the priority of a superposition coefficient difference, the later it is reported.

[0310] In this way, the priority is calculated for each piece of quantized information, and the quantized information can be reported according to the priority. For example, information important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0311] In one possible implementation scheme, the second indication information is also used to indicate the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis, wherein the second space-frequency basis includes the space-frequency basis vectors other than the first space-frequency basis in the space-frequency basis determined according to the reference signal, and the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis is determined according to the priority of the second superposition coefficient corresponding to each space-frequency basis vector in the second space-frequency basis.

[0312] In this way, the information in the second indication information can be made more complete, thereby improving the accuracy of the reported channel state information.

[0313] Regarding the implementation of the second spatial basis, please refer to the relevant description of FIG8 , which will not be repeated here. The second superposition coefficient can also be called a non-differential coefficient.

[0314] In a possible implementation, the priorities of multiple superposition coefficient differences based on quantization information of G fourth basis vectors are higher than the priority of any second superposition coefficient in the second superposition coefficients corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis.

[0315] In this way, information with a greater impact on the channel state information can be reported first, thereby improving the accuracy of the reported channel state information. It should be understood that there is a corresponding relationship between the priority of the quantization information corresponding to a superposition coefficient difference and the priority of the superposition coefficient corresponding to the superposition coefficient difference.

[0316] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis.

[0317] The priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is based on the index on the lth transmission layer or the antenna port of the first device, the kth f The index of the frequency domain basis vector and the kth s The kth spatial frequency vector is determined by the index of the spatial basis vectors. f The index of the space-frequency basis vector can be k f , or k f +1. For example, the index of the first space-frequency basis vector can be 0 or 1. s The index of the space-frequency basis vector can be k s , or k s +1. For example, the index of the first empty-frequency basis vector can be 0 or 1.

[0318] In a possible implementation, the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is ∝Pri(l,k s ,k f ). In other words, the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is the same as Pri(l,k s ,k f ) value is positively correlated; or, the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is Pri(l,k s ,k f ) values ​​are negatively correlated.

[0319] Among them, in the second space-frequency basis, the kth transmission layer or the antenna port of the first device f frequency domain basis vectors and the kth s The priority value of the second superposition coefficient corresponding to the space-frequency vector composed of the space-domain basis vectors satisfies the relationship shown in the following formula (32): Pri(l,k s ,k f )=vK s k f +υk s +l; (32)

[0320] Where l represents the index of the antenna port of the transmission layer or the first device, Pri(l,k s ,k f ) represents the kth in the spatial basis between the first device and the second device s The kth spatial basis vector and the frequency basis vector between the first device and the second device f The priority value of the superposition coefficient corresponding to the space-frequency basis vector composed of frequency domain basis vectors, K s is the total number of spatial basis vectors, k s ,k f and K s All are integers.

[0321] In this way, the priority is calculated for each second superposition coefficient respectively, and the second superposition coefficient can be reported according to the priority. For example, information important to the channel state information can be reported first, thereby improving the accuracy of the reported channel state information.

[0322] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis.

[0323] The priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is determined according to the index of the transmission layer and the index of the space-frequency basis vector.

[0324] In one possible implementation, the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is ∝Pri(l,q). In other words, the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is positively correlated with the value of Pri(l,q); or, the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the value of Pri(l,q).

[0325] The priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector satisfies the relationship shown in the following formula (33): Pri(l,q)=qv+l; (33)

[0326] Here, Pri(l,q) represents the priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector in the superposition coefficients corresponding to the first device and the second device, and q is an integer.

[0327] The index of the q+1th space-frequency basis vector can be q or q+1. For example, the index of the first space-frequency basis vector can be 0 or 1. In this way, the priority is calculated for each second superposition coefficient, and the second superposition coefficients can be reported according to the priority. For example, information important to the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information.

[0328] In the embodiment of the present application, multiple superposition coefficient differences can be regarded as a group.

[0329] Furthermore, in this embodiment of the present application, the multiple second superposition coefficients corresponding to each space-frequency basis vector in the second space-frequency basis at the third moment can be divided into multiple groups. For example, as shown in FIG9 , the multiple second superposition coefficients are sorted in ascending order of priority and then sequentially divided into X3 groups, namely Group 0, Group 1, ..., and Group X3-1. Where X3 is an integer.

[0330] In one possible implementation, each group of the second superposition coefficient contains The priority of any second superposition coefficient in the x3′th group is higher than the priority of all second superposition coefficients in the x3′+1th group. NZ is the total number of the second superposition coefficients. NZ The priority of the group containing the difference of the first superposition coefficients is greater than the priority of any group containing the second superposition coefficients.

[0331] S703: The second device determines a plurality of superposition coefficient differences according to the second indication information.

[0332] In one possible implementation, the first device may determine multiple superposition coefficient differences based on the G fourth basis vectors. In this case, the multiple superposition coefficient differences determined by the second device satisfy the relationship shown in the following formula (34):

[0333] ΔC2′ t′ A matrix is ​​constructed for at least part of the superposition coefficient difference values ​​among the plurality of superposition coefficient difference values ​​determined by the second device. It is a matrix constructed based on at least part of the quantization information of the G fourth basis vectors according to a plurality of superposition coefficient differences.

[0334] It should be understood that ΔC2′ t′ The relationship shown in the following formula (35) can also be satisfied: ΔC2′ t′ ≈ΔC2 t′ ; (35)

[0335] Among them, ΔC2 t′ The relationship shown in the following formula (36) is satisfied:

[0336] In this case, the second device determines the third time according to the difference between the multiple superposition coefficients and the matrix composed of the first superposition coefficients corresponding to the space-frequency basis vectors in the first space-frequency basis. The relationship shown in formula (37) is satisfied:

[0337] in, is a matrix consisting of the first superposition coefficients corresponding to the space-frequency basis vectors in the first space-frequency basis received by the second device at the fourth moment, that is, C2 t′-1 .

[0338] or is a matrix composed of all first superposition coefficients at the fourth moment determined by the second device based on the differences of multiple superposition coefficients. In this case, The determination principle and Similar, no further description is given here.

[0339] Each element in corresponds to a superposition coefficient, An element in corresponds to a superposition coefficient difference.

[0340] Based on the method provided in Figure 7 above, the first device can receive a reference signal and send a second indication information to indicate the quantization information of the difference between the first superposition coefficients corresponding to the space-frequency bases at different times. The quantization information in the second indication information is determined according to the priority of the corresponding priorities of all quantization information, and the priority of each quantization information is related to the number of layers corresponding to the channel matrix between the first device and the second device, G and the number of transmission layers reported by the first device or the number of antenna ports of the first device. In this way, the first device can report the quantization information according to the priority, thereby reporting the channel state information based on the relationship between the first superposition coefficients at different times.

[0341] In some possible embodiments, the channel state information reporting may be implemented by combining the solution provided in FIG. 4 and the solution provided in FIG. 7 . For example, the first device may send first indication information to the second device at the fifth moment, i.e., execute S402 at the fifth moment. The first device may send second indication information to the second device at the sixth moment, i.e., execute S402 at the sixth moment.

[0342] The fifth moment and the sixth moment may be the same or different. The fifth moment and the first moment may be the same or different. The sixth moment and the third moment may be the same or different.

[0343] Based on the method provided in Figure 7, the first device can receive a reference signal and send a second indication information to indicate the quantization information of the superposition coefficient difference, that is, the quantization information of the difference between the first superposition coefficients corresponding to the space-frequency basis at different times. The quantization information in the second indication information is determined according to the priority corresponding to all the quantization information, and the priority of each quantization information is related to G and the transmission layer reported by the first device or the number of antenna ports of the first device. In this way, the first device can report the quantization information according to the priority of the quantization information of the superposition coefficient difference, that is, report the channel state information based on the relationship between the first superposition coefficients at different times.

[0344] It should be understood that the second device can restore the channel state information based on all the first superposition coefficients at the third moment.

[0345] In some possible embodiments, the solution provided in FIG. 4 can be used to report the long-period basis, and existing technologies can be used to report the short-period superposition coefficient. In this case, the first device can send first indication information to the second device at the fifth moment, i.e., execute S402 at the fifth moment. The first device sends third indication information at the sixth moment. Correspondingly, the second device receives the third indication information from the first device. The third indication information is used to indicate the first superposition coefficient corresponding to each space-frequency basis vector in the third space-frequency basis at the third moment.

[0346] For example, when the space domain and the frequency domain are represented by vectors in their respective characteristic subspace bases in the codebook, the first superposition coefficient corresponding to the third moment may include the elements in C2 of formula (1) or formula (2). Alternatively, when the codebook is represented by basis vectors in the characteristic subspace base of the space-frequency domain joint, the first superposition coefficient corresponding to the third moment may include C in formula (3) or formula (4). 21 Elements in .

[0347] In some possible embodiments, existing technologies may be used to report the long-period basis, and the scheme provided in FIG. 7 may be used to report the short-period coefficient. In this case, the first device sends fourth indication information at a first moment. Accordingly, the second device receives the fourth indication information from the first device. The fourth indication information indicates the third superposition coefficient corresponding to each space-frequency basis vector in the space-frequency basis determined based on the reference signal. The first device sends second indication information to the second device at a sixth moment, i.e., S402 is executed at the sixth moment.

[0348] Among them, the third superposition coefficient may include the superposition coefficient of the spatial domain basis vector in the spatial domain basis and the frequency domain superposition coefficient of the frequency domain basis vector in the frequency domain basis. For example, in the case where the channel matrix is ​​as shown in the above formula (1) or formula (2), the superposition coefficient of the spatial domain basis vector in the spatial domain basis may be the element in C1 of the above formula (1) or the element in C′1 of formula (2), and the frequency domain superposition coefficient of the frequency domain basis vector in the frequency domain basis may be the element in C3 of the above formula (1) or formula (2). Alternatively, in the case where the channel matrix is ​​as shown in the above formula (3) or formula (4), the third superposition coefficient may include the space-frequency superposition coefficient, such as C in the above formula (3). 11 The elements in, or C′ in the above formula (4) 11 elements.

[0349] In the embodiment of the present application, the second device can obtain channel state information based on the first basis and other basis and the short period reporting coefficient.

[0350] It should be understood that the weighting coefficients in the embodiments of the present application, such as the first weighting coefficient, the second weighting coefficient, or the third weighting coefficient, can be indicated by the amplitude and / or phase corresponding to the weighting coefficient, or in other words, one weighting coefficient corresponds to one amplitude and / or one phase. The superposition coefficients in the embodiments of the present application, such as the first superposition coefficient, the second superposition coefficient, or the third superposition coefficient, can be indicated by the amplitude and / or phase corresponding to the superposition coefficient, or in other words, one superposition coefficient corresponds to one amplitude and / or one phase.

[0351] The method provided by the embodiment of the present application is described in detail above in conjunction with Figures 4 to 9. The communication device for executing the method provided by the embodiment of the present application is described in detail below in conjunction with Figures 10 and 11.

[0352] For example, Figure 10 is a structural diagram of a communication device according to an embodiment of the present application. As shown in Figure 10, the communication device 1000 includes a processing module 1001 and a transceiver module 1002. For ease of illustration, Figure 10 only shows the main components of the communication device.

[0353] In some embodiments, the communication device 1000 may be applicable to the communication system shown in FIG. 2 to perform the function of the first device in the method shown in FIG. 4 .

[0354] Among them, the transceiver module 1002 is used to receive a reference signal from the second device. The processing module 1001 is used to generate the first indication information. The transceiver module 1002 is also used to send the first indication information to the second device. The first indication information is used to indicate: each first basis vector in the first basis is associated with at least some of the first weighting coefficients of the multiple first weighting coefficients of each second basis vector in the second basis. The first basis is determined by the first device according to the reference signal at the first moment, and the second basis is the basis reported by the communication device 1000 at the second moment, and the second moment is before the first moment. Each first weighting coefficient of at least some of the first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient of the i+1th first basis vector in the first basis associated with the j+1th second basis vector in the second basis is determined according to one or more of the following: the total number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis, 0≤i <M, And i,j,M and All are integers.

[0355] In one possible implementation, the priority of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis. The priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis satisfies one of the following relationships: or, Wherein, Pri(i,j) represents the priority value of the first weighting coefficient associating the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis, and f(j) increases or decreases with j.

[0356] In a possible implementation, the first indication information is further used to indicate at least some of the second weighting coefficients among the multiple second weighting coefficients and the third basis. The second basis, the first weighting coefficient corresponding to the second basis, the third basis, and at least some of the second weighting coefficients are used to determine the first basis. In this way, the information in the first indication information can be made more complete, thereby improving the accuracy of the reported channel state information.

[0357] In a possible implementation, the priorities of all the second weighting coefficients are lower than the priority of any one of the first weighting coefficients. In this way, the information that has a greater impact on the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information.

[0358] In a possible implementation, the priority of the second weighting coefficient corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis is related to the total number of third basis vectors in the third basis, the first basis vector corresponding to the second weighting coefficient, and the third basis vector corresponding to the second weighting coefficient; wherein, the vector corresponding to the (i + 1)-th first basis vector in the first basis includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and k is an integer.

[0359] In a possible implementation, the priority of the second weighting coefficient corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis satisfies the following relationship: Pri(i,k) = K1φ(i) + f′(k). Wherein, Pri(i,k) represents the priority value of the second weighting coefficient corresponding to the (i + 1)-th first basis vector in the first basis associated with the (k + 1)-th third basis vector in the third basis, K1 is the total number of third basis vectors in the third basis, φ(i) increases or decreases with i, f′(k) increases or decreases with k, 0 ≤ i < M, 0 ≤ k < K1, and K1 is an integer.

[0360] In a possible implementation, the first basis vector is a spatial domain basis vector, and the second basis vector is a spatial domain basis vector. Or, the first basis vector is a frequency domain basis vector, and the second basis vector is a frequency domain basis vector. In the case where the first basis vector is a spatial domain basis vector and the second basis vector is a spatial domain basis vector, the reporting of the spatial domain basis can be realized. In the case where the first basis vector is a frequency domain basis vector and the second basis vector is a frequency domain basis vector, the reporting of the frequency domain basis vector can be realized.

[0361] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the number of spatial domain basis vectors corresponding to the third basis, the total number of first basis vectors in the first basis, the frequency domain basis vector corresponding to the second weighting coefficient, or the first basis vector corresponding to the second weighting coefficient; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers.

[0362] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s, f, i) = LMπ(f) + Lφ(i) + s. Where Pri(s, f, i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the total number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0363] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector corresponding to the i-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the total number of spatial domain basis vectors corresponding to the third basis, the frequency domain basis vector corresponding to the second weighting coefficient, the first basis vector corresponding to the second weighting coefficient, or the total number of frequency domain basis vectors corresponding to the third basis; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and its projection on the second basis, and both s and f are integers.

[0364] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s,f,i) = LFφ(i) + Lπ(f) + s. Where Pri(s,f,i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0365] In a possible implementation, the first basis vector is an empty-frequency basis vector, and the second basis vector is an empty-frequency basis vector.

[0366] The transceiver module 1002 may include a receiving module and a transmitting module (not shown in FIG. 10). Among them, the transceiver module 1002 is used to implement the transmitting function and the receiving function of the communication device 1000.

[0367] Optionally, the communication device 1000 may further include a storage module (not shown in FIG. 10), and the storage module stores programs or instructions. When the processing module 1001 executes the programs or instructions, the communication device 1000 can execute the functions of the first device in any of the methods shown in FIG. 4.

[0368] It should be understood that the processing module 1001 involved in the communication device 1000 can be implemented by a processor or a processor-related circuit component, which can be a processor or a processing unit; the transceiver module 1002 can be implemented by a transceiver or a transceiver-related circuit component, which can be a transceiver or a transceiver unit.

[0369] It should be noted that the communication device 1000 can be a terminal or a network device, or a chip (system) or other parts or components that can be set in a terminal or a network device, or a device that includes a terminal or a network device. This application does not limit this.

[0370] In addition, the technical effects of the communication device 1000 can refer to the technical effects of any method shown in Figure 4, and will not be repeated here.

[0371] In some other embodiments, the communication device 1000 may be applicable to the communication system shown in FIG. 2 to perform the function of the second device in the method shown in FIG. 4 .

[0372] The processing module 1001 is used to generate a reference signal. The transceiver module 1002 is used to send a reference signal. The transceiver module 1002 is also used to receive a first indication information from the first device. The first indication information is used to indicate: each first basis vector in the first basis is associated with at least some of the first weighting coefficients of the multiple first weighting coefficients of each second basis vector in the second basis. The first basis is determined by the first device according to the reference signal at the first moment, and the second basis is the basis reported by the first device at the second moment, and the second moment is before the first moment. Each first weighting coefficient of at least some of the first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient of the i+1th first basis vector in the first basis associated with the j+1th second basis vector in the second basis is determined according to one or more of the following: the total number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the i+1th first basis vector in the first basis, or the index of the j+1th second basis vector in the second basis, 0≤i <M, And M, i and j are both integers. The processing module 1001 is further configured to determine a first basis according to the first indication information.

[0373] In one possible implementation, the priority of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis. The priority value of the first weighting coefficient associated with the i+1th first basis vector in the first basis to the j+1th second basis vector in the second basis satisfies one of the following relationships: Among them, Pri(i,j) represents the priority value of the first weighting coefficient where the (i + 1)-th first basis vector in the first basis is associated with the (j + 1)-th second basis vector in the second basis, and f(j) increases or decreases with j.

[0374] In a possible implementation, the first indication information is further used to indicate at least some of the second weighting coefficients among the multiple second weighting coefficients and the third basis. The second basis, the first weighting coefficient corresponding to the second basis, the third basis, and at least some of the second weighting coefficients are used to determine the first basis. In this way, the information in the first indication information can be made more complete, thereby improving the accuracy of the reported channel state information.

[0375] In a possible implementation, the priority of all second weighting coefficients is lower than the priority of any one of the first weighting coefficients. In this way, the information that has a greater impact on the channel state information can be reported preferentially, thereby improving the accuracy of the reported channel state information.

[0376] In a possible implementation, the priority of the second weighting coefficient where the first vector corresponding to the (i + 1)-th first basis vector in the first basis is associated with the (k + 1)-th third basis vector in the third basis is related to the total number of third basis vectors in the third basis, the first basis vector corresponding to the second weighting coefficient, and the third basis vector corresponding to the second weighting coefficient; where the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and k is an integer.

[0377] In a possible implementation, the priority of the second weighting coefficient where the first vector corresponding to the (i + 1)-th first basis vector in the first basis is associated with the (k + 1)-th third basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient where the first vector corresponding to the (i + 1)-th first basis vector in the first basis is associated with the (k + 1)-th third basis vector in the third basis. The priority value of the second weighting coefficient where the first vector corresponding to the (i + 1)-th first basis vector in the first basis is associated with the (k + 1)-th third basis vector in the third basis satisfies the following relationship: Pri(i,k) = K1φ(i) + f′(k). Among them, Pri(i,k) represents the priority value of the second weighting coefficient where the first vector corresponding to the (i + 1)-th first basis vector in the first basis is associated with the (k + 1)-th third basis vector in the third basis, K1 is the total number of third basis vectors in the third basis, φ(i) increases or decreases with i, f′(k) increases or decreases with k, 0 ≤ i < M, 0 ≤ k < K1, and K1 is an integer.

[0378] In a possible implementation, the first basis vector is a spatial domain basis vector, and the second basis vector is a spatial domain basis vector. Alternatively, the first basis vector is a frequency domain basis vector, and the second basis vector is a frequency domain basis vector. When the first basis vector is a spatial domain basis vector and the second basis vector is a spatial domain basis vector, reporting of the spatial domain basis can be achieved. When the first basis vector is a frequency domain basis vector and the second basis vector is a frequency domain basis vector, reporting of the frequency domain basis vector can be achieved.

[0379] In a possible implementation, the priority of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the number of spatial domain basis vectors corresponding to the third basis, the total number of first basis vectors in the first basis, the frequency domain basis vector corresponding to the second weighting coefficient, or the first basis vector corresponding to the second weighting coefficient; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and its projection on the second basis, and both s and f are integers.

[0380] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s,f,i) = LMπ(f) + Lφ(i) + s. Where Pri(s,f,i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis being associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the total number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0381] In a possible implementation, the priority of the second weighting coefficient corresponding to the third basis vector of the (i + 1)-th first basis vector in the first basis associated with the first vector associated with the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is negatively correlated with the priority value of the second weighting coefficient corresponding to the third basis vector of the (i + 1)-th first basis vector in the first basis associated with the first vector associated with the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis. The priority value of the second weighting coefficient corresponding to the first vector of the i-th first basis vector in the first basis associated with the third basis vector of the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector is related to one or more of the following: the total number of spatial domain basis vectors corresponding to the third basis, the frequency domain basis vector corresponding to the second weighting coefficient, the first basis vector corresponding to the second weighting coefficient, or the total number of frequency domain basis vectors corresponding to the third basis; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers.

[0382] In a possible implementation, the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector of the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s, f, i) = LFφ(i) + Lπ(f) + s. Where Pri(s, f, i) represents the priority value of the second weighting coefficient corresponding to the first vector of the (i + 1)-th first basis vector in the first basis associated with the third basis vector of the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector, L is the number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the total number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

[0383] In a possible implementation, the first basis vector is an empty-frequency basis vector, and the second basis vector is an empty-frequency basis vector.

[0384] The transceiver module 1002 may include a receiving module and a transmitting module (not shown in FIG. 10). Among them, the transceiver module 1002 is used to implement the transmitting function and the receiving function of the communication device 1000.

[0385] Optionally, the communication device 1000 may further include a storage module (not shown in FIG. 10), and the storage module stores programs or instructions. When the processing module 1001 executes the programs or instructions, the communication device 1000 can execute the functions of the second device in any of the methods shown in FIG. 4.

[0386] It should be understood that the processing module 1001 involved in the communication device 1000 can be implemented by a processor or processor-related circuit components, and can be a processor or a processing unit; the transceiver module 1002 can be implemented by a transceiver or transceiver-related circuit components, and can be a transceiver or a transceiver unit.

[0387] It should be noted that the communication device 1000 can be a terminal or a network device, or can be a chip (system) or other components or assemblies that can be set in a terminal or a network device, or can also be a device including a terminal or a network device. This application does not limit this.

[0388] In addition, the technical effects of the communication device 1000 can refer to the technical effects of the methods shown in any one of FIG. 4, which will not be elaborated here.

[0389] In some other embodiments, the communication device 1000 can be applied to the communication system shown in FIG. 2 and execute the function of the first device in the method shown in FIG. 7.

[0390] Among them, the transceiver module 1002 is used to receive a reference signal from a second device. The processing module 1001 is further used to generate second indication information. The transceiver module 1002 is further used to send the second indication information to the second device. The second indication information is used to indicate at least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The multiple superposition coefficient differences include the differences between the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at a third moment and the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at a fourth moment. The first spatial-frequency basis includes at least part of the spatial-frequency basis vectors determined according to the reference signal. The fourth moment is earlier than the third moment, and G is an integer greater than 0. The at least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors is related to the priority of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The priority of the quantization information on the (l+1)th fourth basis vector associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device in the multiple superposition coefficient differences is related to G and the number of transmission layers or antenna ports of the first device reported by the communication device 1000, 0≤g<G, 1≤l≤v, where v represents the number of transmission layers or antenna ports of the first device reported by the communication device 1000, and g, l, and v are all integers.

[0391] In one possible implementation, the priority of the quantization information associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device in the multiple superposition coefficient differences on the g+1th fourth basis vector is negatively correlated with the priority value of the quantization information associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device in the multiple superposition coefficient differences on the g+1th fourth basis vector. The priority value of the quantization information associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device in the multiple superposition coefficient differences on the g+1th fourth basis vector satisfies one of the following relationships: Pri(l,g)=vg+l, Pri(l,g)=2vg+l; or, Pri(l,g)=vg 2 Wherein, Pri(l,g) represents the priority value of the quantization information associated with the superposition coefficient difference corresponding to the lth transmission layer or the antenna port of the first device among the multiple superposition coefficient differences and the g+1th fourth basis vector, and v is the number of transmission layers or antenna ports of the first device reported by the communication device 1000.

[0392] In one possible implementation scheme, the second indication information is also used to indicate the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis, wherein the second space-frequency basis includes the space-frequency basis vectors other than the first space-frequency basis in the space-frequency basis determined according to the reference signal, and the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis is determined according to the priority of the second superposition coefficient corresponding to each space-frequency basis vector in the second space-frequency basis.

[0393] In a possible implementation, the priorities of multiple superposition coefficient differences based on quantization information of G fourth basis vectors are higher than the priority of any second superposition coefficient in the second superposition coefficients corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis.

[0394] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. f frequency domain basis vectors and the kth s The priority value of the second superposition coefficient corresponding to the space-frequency vector composed of the space-domain basis vectors satisfies the following relationship: Pri(l,k s ,k f )=vK s k f +υk s +l. Wherein, l represents the index of the antenna port of the transmission layer or the first device, Pri(l,k s ,k f) represents the kth spatial basis between the communication device 1000 and the second device s The kth spatial basis vector and the frequency basis vector between the communication device 1000 and the second device f The priority value of the superposition coefficient corresponding to the space-frequency basis vector composed of frequency domain basis vectors, v is the number of transmission layers or antenna ports of the first device reported by the communication device 1000, K s is the total number of spatial basis vectors, k s ,k f ,K s and K s All are integers.

[0395] In one possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. The priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector satisfies the following relationship: Pri(l,a)=qv+l. Wherein, l represents the index of the transmission layer or the antenna port of the first device, Pri(l,q) represents the priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector on the lth transmission layer or the antenna port of the first device in the second space-frequency basis, and q is an integer.

[0396] The transceiver module 1002 may include a receiving module and a sending module (not shown in FIG10 ). The transceiver module 1002 is used to implement the sending function and the receiving function of the communication device 1000 .

[0397] Optionally, the communication device 1000 may further include a storage module (not shown in FIG10 ) storing a program or instruction. When the processing module 1001 executes the program or instruction, the communication device 1000 may perform the function of the first device in any of the methods shown in FIG7 .

[0398] It should be understood that the processing module 1001 involved in the communication device 1000 can be implemented by a processor or a processor-related circuit component, which can be a processor or a processing unit; the transceiver module 1002 can be implemented by a transceiver or a transceiver-related circuit component, which can be a transceiver or a transceiver unit.

[0399] It should be noted that the communication device 1000 can be a terminal or a network device, or a chip (system) or other parts or components that can be set in a terminal or a network device, or a device that includes a terminal or a network device. This application does not limit this.

[0400] In addition, the technical effects of the communication device 1000 can refer to the technical effects of any method shown in Figure 7, and will not be repeated here.

[0401] In some other embodiments, the communication device 1000 may be applicable to the communication system shown in FIG. 2 and perform the functions of the second device in the method shown in FIG. 7.

[0402] Among them, the processing module 1001 is used to generate a reference signal. The transceiver module 1002 is used to send the reference signal to the first device. The transceiver module 1002 is also used to receive the second indication information from the first device. The second indication information is determined by the first device according to the reference signal. The second indication information is used to indicate at least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The multiple superposition coefficient differences include the differences between the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the third moment and the first superposition coefficients corresponding to each spatial-frequency basis vector in the first spatial-frequency basis at the fourth moment. The first spatial-frequency basis includes at least part of the spatial-frequency basis vectors determined according to the reference signal. The fourth moment is earlier than the third moment, and G is an integer greater than 0. The at least part of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors is related to the priority of the quantization information of the multiple superposition coefficient differences based on G fourth basis vectors. The priority of the quantization information of the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences associated with the (g + 1)-th fourth basis vector is related to G and the number of transmission layers or antenna ports of the first device reported. 0 ≤ g < G, 1 ≤ l ≤ v, where v represents the number of transmission layers or antenna ports of the first device reported. g, l, and v are all integers. The processing module 1001 is also used to determine the multiple superposition coefficient differences according to the second indication information.

[0403] In a possible implementation, the priority of the quantization information of the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences associated with the (g + 1)-th fourth basis vector is negatively correlated with the priority value of the quantization information of the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences associated with the (g + 1)-th fourth basis vector. Among them, the priority value of the quantization information of the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the multiple superposition coefficient differences associated with the (g + 1)-th fourth basis vector satisfies one of the following relationships: Pri(l, g) = vg + l, Pri(l, g) = 2vg + l; or, Pri(l, g) = vg 2 + l. Here, Pri(l, g) represents the priority value of the quantization information of the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device associated with the (g + 1)-th fourth basis vector.

[0404] In one possible implementation scheme, the second indication information is also used to indicate the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis, wherein the second space-frequency basis includes the space-frequency basis vectors other than the first space-frequency basis in the space-frequency basis determined according to the reference signal, and the second superposition coefficient corresponding to at least part of the space-frequency basis vectors in the second space-frequency basis is determined according to the priority of the second superposition coefficient corresponding to each space-frequency basis vector in the second space-frequency basis.

[0405] In a possible implementation, the priorities of multiple superposition coefficient differences based on quantization information of G fourth basis vectors are higher than the priority of any second superposition coefficient in the second superposition coefficients corresponding to at least some of the space-frequency basis vectors in the second space-frequency basis.

[0406] In a possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. f frequency domain basis vectors and the kth s The priority value of the second superposition coefficient corresponding to the space-frequency vector composed of the space-domain basis vectors satisfies the following relationship: Pri(l,k s ,k f )=vK s k f +υk s +l. Wherein, l represents the index of the antenna port of the transmission layer or the first device, Pri(l,k s ,k f ) represents the kth spatial basis between the first device and the communication device 1000 s The kth spatial basis vector and the frequency basis vector between the first device and the communication device 1000 f The priority value of the superposition coefficient corresponding to the space-frequency basis vector composed of frequency domain basis vectors, K s is the total number of spatial basis vectors, k s ,k f and K s All are integers.

[0407] In one possible implementation, the priority of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the space-frequency basis vector in the second space-frequency basis. The priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector satisfies the following relationship: Pri(l,q)=qv+l. Wherein, l represents the index of the transmission layer or the antenna port of the first device, Pri(l,q) represents the priority value of the superposition coefficient corresponding to the q+1th space-frequency basis vector on the lth transmission layer or the antenna port of the first device in the second space-frequency basis, and q is an integer.

[0408] The transceiver module 1002 may include a receiving module and a sending module (not shown in FIG10 ). The transceiver module 1002 is used to implement the sending function and the receiving function of the communication device 1000 .

[0409] Optionally, the communication device 1000 may further include a storage module (not shown in FIG10 ) storing a program or instruction. When the processing module 1001 executes the program or instruction, the communication device 1000 may perform the function of the second device in any of the methods shown in FIG7 .

[0410] It should be understood that the processing module 1001 involved in the communication device 1000 can be implemented by a processor or a processor-related circuit component, which can be a processor or a processing unit; the transceiver module 1002 can be implemented by a transceiver or a transceiver-related circuit component, which can be a transceiver or a transceiver unit.

[0411] It should be noted that the communication device 1000 can be a terminal or a network device, or a chip (system) or other parts or components that can be set in a terminal or a network device, or a device that includes a terminal or a network device. This application does not limit this.

[0412] In addition, the technical effects of the communication device 1000 can refer to the technical effects of any method shown in Figure 7, and will not be repeated here.

[0413] For example, FIG11 is a second structural diagram of a communication device provided in an embodiment of the present application. The communication device may be a terminal or a network device, or a chip (system) or other component or assembly that can be provided in a terminal or a network device. As shown in FIG11 , the communication device 1100 may include a processor 1101. Optionally, the communication device 1100 may further include a memory 1102 and / or a transceiver 1103. The processor 1101 is coupled to the memory 1102 and the transceiver 1103, such as by a communication bus.

[0414] The following is a detailed introduction to the various components of the communication device 1100 with reference to FIG11 :

[0415] The processor 1101 is the control center of the communication device 1100 and can be a single processor or a collective term for multiple processing elements. For example, the processor 1101 can be one or more central processing units (CPUs), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application, such as one or more digital signal processors (DSPs) or one or more field programmable gate arrays (FPGAs).

[0416] Optionally, the processor 1101 may execute various functions of the communication device 1100 by running or executing a software program stored in the memory 1102 and calling data stored in the memory 1102 .

[0417] In a specific implementation, as an embodiment, the processor 1101 may include one or more CPUs, such as CPU0 and CPU1 shown in FIG11 .

[0418] In a specific implementation, as an embodiment, the communication device 1100 may also include multiple processors, such as the processor 1101 and the processor 1104 shown in FIG11 . Each of these processors may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0419] Among them, the memory 1102 is used to store the software program for executing the solution of this application, and the execution is controlled by the processor 1101. The specific implementation method can refer to the above method embodiment and will not be repeated here.

[0420] Alternatively, the memory 1102 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 1102 may be integrated with the processor 1101 or exist independently and be coupled to the processor 1101 via an interface circuit (not shown in FIG. 11 ) of the communication device 1100, which is not specifically limited in this embodiment of the present application.

[0421] Transceiver 1103 is used for communication with other communication devices. For example, if communication device 1100 is a terminal, transceiver 1103 can be used to communicate with a network device or another terminal. For another example, if communication device 1100 is a network device, transceiver 1103 can be used to communicate with a terminal or another network device.

[0422] Optionally, the transceiver 1103 may include a receiver and a transmitter (not shown separately in FIG11 ), wherein the receiver is used to implement a receiving function, and the transmitter is used to implement a transmitting function.

[0423] Optionally, the transceiver 1103 may be integrated with the processor 1101 or exist independently and be coupled to the processor 1101 through an interface circuit (not shown in FIG. 11 ) of the communication device 1100 . This embodiment of the present application does not specifically limit this.

[0424] It should be noted that the structure of the communication device 1100 shown in FIG11 does not constitute a limitation on the communication device. An actual communication device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0425] In addition, the technical effects of the communication device 1100 can refer to the technical effects of the methods described in the above method embodiments, and will not be repeated here.

[0426] It should be understood that the processor in the embodiments of the present application may be a CPU, but may also be other general-purpose processors, DSPs, ASICs, FPGAs, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0427] It should also be understood that the memory in the embodiments of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a ROM, a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an EEPROM, or a flash memory. The volatile memory can be a RAM, which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct rambus RAM (DR RAM).

[0428] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (such as infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0429] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0430] In this application, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0431] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0432] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0433] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0434] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0435] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0436] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0437] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

[0438] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for reporting channel state information, characterized in that, Applied to a first device, the method includes: Receiving a reference signal from a second device; Send first indication information to the second device; the first indication information is used to indicate: at least some of the plurality of first weighting coefficients of each first basis vector in the first basis associated with each second basis vector in the second basis; the first basis is determined by the first device at a first time according to the reference signal, and the second basis is the basis reported by the first device at a second time, and the second time is before the first time; each of the at least some first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient of the (i + 1)-th first basis vector in the first basis associated with the (j + 1)-th second basis vector in the second basis is determined according to one or more of the following: the number M of first basis vectors in the first basis, the number of second basis vectors in the second basis The index of the (i + 1)-th first basis vector in the first basis or the index of the (j + 1)-th second basis vector in the second basis, where 0 ≤ i < M, and M, Both i and j are integers.

2. A method for reporting channel state information, characterized in that, Applied to a second device, the method includes: Receive first indication information from a first device; the first indication information is used to indicate: at least some of a plurality of first weighting coefficients each of which is associated with a first basis vector in a first basis and a second basis vector in a second basis; the first basis is determined by the first device at a first moment according to a reference signal, the second basis is a basis reported by the first device at a second moment, and the second moment is before the first moment; each of the at least some first weighting coefficients corresponds to a priority, wherein the priority of the first weighting coefficient associated with the (i + 1)-th first basis vector in the first basis and the (j + 1)-th second basis vector in the second basis is determined according to one or more of the following: the number M of first basis vectors in the first basis, the number of second basis vectors in the second basis determined by the index of the (i + 1)-th first basis vector in the first basis or the index of the (j + 1)-th second basis vector in the second basis, where 0 ≤ i < M, and M, Both i and j are integers; Determining a first basis according to the first indication information.

3. The method according to claim 1 or 2, characterized in that, The priority of the first weighting coefficient associated with the (i + 1)-th first basis vector in the first basis on the (j + 1)-th second basis vector in the second basis is negatively correlated with the priority value of the first weighting coefficient associated with the (i + 1)-th first basis vector in the first basis on the (j + 1)-th second basis vector in the second basis; the priority value of the first weighting coefficient associated with the (i + 1)-th first basis vector in the first basis on the (j + 1)-th second basis vector in the second basis satisfies one of the following relationships: Or, Where Pri(i,j) represents the priority value of the first weighting coefficient associated with the (j + 1)-th second basis vector in the second basis for the (i + 1)-th first basis vector in the first basis, and f(j) increases or decreases with j.

4. The method according to any one of claims 1 to 3, characterized in that, The first indication information is further used to indicate at least some of the second weighting coefficients and a third basis among a plurality of second weighting coefficients, and the second basis, the first weighting coefficient corresponding to the second basis, the third basis, and the at least some second weighting coefficients are used to determine the first basis.

5. The method according to claim 4, wherein The priority of all second weighting coefficients is lower than the priority of any one of the first weighting coefficients.

6. The method according to claim 4 or 5, characterized in that, The priority of the second weighting coefficient associated with the (k + 1)-th third basis vector for the first vector corresponding to the (i + 1)-th first basis vector in the first basis is related to the number of third basis vectors in the third basis, the first basis vector corresponding to the second weighting coefficient, and the third basis vector corresponding to the second weighting coefficient; where the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and its projection on the second basis, and k is an integer.

7. The method according to claim 6, wherein The priority of the second weighting coefficient associated with the (k + 1)-th third basis vector for the first vector corresponding to the (i + 1)-th first basis vector in the first basis is negatively correlated with the priority value of the second weighting coefficient associated with the (k + 1)-th third basis vector for the first vector corresponding to the (i + 1)-th first basis vector in the first basis, and the priority value of the second weighting coefficient associated with the (k + 1)-th third basis vector for the first vector corresponding to the (i + 1)-th first basis vector in the first basis satisfies the following relationship: Pri(i,k) = K1φ(i) + f′(k); Where Pri(i,k) represents the priority value of the second weighting coefficient associated with the (k + 1)-th third basis vector for the first vector corresponding to the (i + 1)-th first basis vector in the first basis, K1 is the number of third basis vectors in the third basis, φ(i) increases or decreases with i, f′(k) increases or decreases with k, 0 ≤ i < M, 0 ≤ k < K1, and K1 is an integer.

8. The method according to any one of claims 1-7, characterized in that The first basis vector is a spatial domain basis vector, and the second basis vector is a spatial domain basis vector; or, The first basis vector is a frequency domain basis vector, and the second basis vector is a frequency domain basis vector.

9. The method according to claim 4 or 5, characterized in that The priority of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the first vector is negatively correlated with the priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis; The priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the first vector is related to one or more of the following: the number of spatial domain basis vectors corresponding to the third basis, the total number of first basis vectors in the first basis, the frequency domain basis vector corresponding to the second weighting coefficient, or the first basis vector corresponding to the second weighting coefficient; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and its projection on the second basis, and both s and f are integers.

10. The method according to claim 9, wherein The priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the first vector satisfies the following relationship: Pri(s,f,i) = LMπ(f) + Lφ(i) + s; Wherein, Pri(s,f,i) represents the priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the first vector, L is the number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

11. The method according to claim 4 or 5, characterized in that, The priority of the second weighting coefficient corresponding to the third basis vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the first vector is negatively correlated with the priority value of the second weighting coefficient corresponding to the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis; The priority value of the second weighting coefficient corresponding to the first vector corresponding to the i-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis is related to one or more of the following: the number of spatial domain basis vectors corresponding to the third basis, the frequency domain basis vector corresponding to the second weighting coefficient, the first basis vector corresponding to the second weighting coefficient, or the number of frequency domain basis vectors corresponding to the third basis; wherein, the first vector corresponding to the (i + 1)-th first basis vector includes the difference between the (i + 1)-th first basis vector and the projection of the (i + 1)-th first basis vector on the second basis, and both s and f are integers.

12. The method according to claim 10, wherein The priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis satisfies the following relationship: Pri(s,f,i) = LFφ(i) + Lπ(f) + s; Wherein, Pri(s,f,i) represents the priority value of the second weighting coefficient corresponding to the first vector corresponding to the (i + 1)-th first basis vector in the first basis associated with the third basis vector corresponding to the (s + 1)-th spatial domain basis vector and the (f + 1)-th frequency domain basis vector in the third basis, L is the number of spatial domain basis vectors corresponding to the third basis, π(f) is a function of f, φ(i) increases or decreases with i, 0 ≤ f < F, F is the number of frequency domain basis vectors corresponding to the third basis, 0 ≤ s < L, and both L and F are integers.

13. The method according to any one of claims 1 - 5, or claim 7, or any one of claims 9 - 12, characterized in that The first basis vector is a spatio-frequency basis vector, and the second basis vector is a spatio-frequency basis vector.

14. A method for reporting channel state information, characterized in that, Applied to a first device, the method includes: The first device receives a reference signal from the second device; The first device sends second indication information to the second device; the second indication information is used to indicate at least part of the quantization information of a plurality of superposition coefficient differences based on G fourth basis vectors, the plurality of superposition coefficient differences include the differences between the first superposition coefficients corresponding to each spatio-frequency basis vector in the first spatio-frequency basis at a third moment and the first superposition coefficients corresponding to each spatio-frequency basis vector in the first spatio-frequency basis at a fourth moment, the first spatio-frequency basis includes at least part of the spatio-frequency basis vectors in the spatio-frequency basis determined according to the reference signal, the fourth moment is earlier than the third moment, and G is an integer greater than 0; the quantization information of at least part of the plurality of superposition coefficient differences based on G fourth basis vectors is related to the priority of the quantization information of the plurality of superposition coefficient differences based on G fourth basis vectors, and the priority of the quantization information corresponding to the l-th plurality of superposition coefficient differences associated with the (g + 1)-th fourth basis vector among the plurality of superposition coefficient differences is related to G and the number of transmission layers reported by the first device or the number of antenna ports of the first device, 0 ≤ g < G, 1 ≤ l ≤ v, v represents the number of transmission layers reported by the first device or the number of antenna ports of the first device, and g, l, and v are all integers.

15. A method for reporting channel state information, characterized in that, Applied to a second device, the method includes: Sending a reference signal to the first device; Receive second indication information from the first device, where the second indication information is determined by the first device according to the reference signal, and the second indication information is used to indicate at least part of the quantization information of a plurality of superposition coefficient differences based on G fourth basis vectors. The plurality of superposition coefficient differences include the differences between the first superposition coefficients corresponding to each spatio-frequency basis vector in the first spatio-frequency basis at a third moment and the first superposition coefficients corresponding to each spatio-frequency basis vector in the first spatio-frequency basis at a fourth moment. The first spatio-frequency basis includes at least part of the spatio-frequency basis vectors determined according to the reference signal. The fourth moment is earlier than the third moment, and G is an integer greater than 0; at least part of the quantization information of the plurality of superposition coefficient differences based on G fourth basis vectors is related to the priority of the quantization information of the plurality of superposition coefficient differences based on G fourth basis vectors. The priority of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences is related to G and the number of transmission layers or antenna ports of the first device reported. 0 ≤ g < G, 1 ≤ l ≤ v, where v represents the number of transmission layers or antenna ports of the first device reported, and g, l, and v are all integers; Determine the plurality of superposition coefficient differences according to the second indication information.

16. The method according to claim 14 or 15, characterized in that The priority of the quantization information associated with the superposition coefficient difference corresponding to the antenna port of the l-th transmission layer or the first device among the multiple superposition coefficient differences is negatively correlated with the priority value of the quantization information associated with the superposition coefficient difference corresponding to the antenna port of the l-th transmission layer or the first device among the multiple superposition coefficient differences and associated with the (g + 1)-th fourth basis vector; wherein, the priority value of the quantization information associated with the superposition coefficient difference corresponding to the antenna port of the l-th transmission layer or the first device among the multiple superposition coefficient differences satisfies one of the following relationships: Pri(l, g) = vg + l; or, Pri(l, g) = 2vg + l; or, Pri(l, g) = vg 2 + l; Where l represents the index of the transmission layer or the antenna port of the first device, and Pri(l, g) represents the priority value of the quantization information associated with the superposition coefficient difference corresponding to the l-th transmission layer or the antenna port of the first device among the plurality of superposition coefficient differences and associated with the (g + 1)-th fourth basis vector.

17. The method according to any one of claims 14 - 16, characterized in that, The second indication information is further used to indicate the second superposition coefficients corresponding to at least part of the spatio-frequency basis vectors in the second spatio-frequency basis, where the second spatio-frequency basis includes the spatio-frequency basis vectors in the spatio-frequency basis determined according to the reference signal except the first spatio-frequency basis, and the second superposition coefficients corresponding to at least part of the spatio-frequency basis vectors in the second spatio-frequency basis are determined according to the priority of the second superposition coefficients corresponding to each spatio-frequency basis vector in the second spatio-frequency basis.

18. The method according to claim 17, wherein The priorities of the quantization information of the plurality of superposition coefficient differences based on G fourth basis vectors are all higher than the priority of any one of the second superposition coefficients corresponding to at least part of the spatio-frequency basis vectors in the second spatio-frequency basis.

19. The method according to claim 17 or 18, characterized in that, The priority of the second superposition coefficient corresponding to the mid-frequency basis vector in the second mid-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the mid-frequency basis vector in the second mid-frequency basis; wherein, in the second mid-frequency basis, for the l-th transmission layer or the k-th f frequency domain basis vector and the k-th s spatial domain basis vector on the antenna port of the first device, the priority value of the second superposition coefficient corresponding to the spatio-frequency vector composed thereof satisfies the following relationship: Pri(l,k s ,k f ) = vK s k f + υk s + l; where l represents the index of the antenna port of the transport layer or the first device, Pri(l,k s ,k f ) represents the priority value of the superposition coefficient corresponding to the spatio-frequency basis vector composed of the k s th spatio-domain basis vector in the spatio-domain basis between the first device and the second device and the k f th frequency-domain basis vector in the frequency-domain basis between the first device and the second device, K s is the number of spatio-domain basis vectors, k s ,k f and K s are both integers.

20. The method according to claim 17 or 18, characterized in that, The priority of the second superposition coefficient corresponding to the spatio-frequency basis vector in the second spatio-frequency basis is negatively correlated with the priority value of the second superposition coefficient corresponding to the spatio-frequency basis vector in the second spatio-frequency basis; where the priority value of the superposition coefficient corresponding to the (q + 1)-th spatio-frequency basis vector on the l-th transmission layer or the antenna port of the first device in the second spatio-frequency basis satisfies the following relationship: Pri(l, q) = qv + l; Wherein, l represents the index of the antenna port of the transport layer or the first device, Pri(l,q) represents the priority value of the superposition coefficient corresponding to the (q + 1)-th spatial-frequency basis vector on the l-th antenna port of the transport layer or the first device in the second spatial-frequency basis, and q is an integer.

21. The method according to claim 2 or 15, characterized in that, The second device includes a Central Unit (CU) and / or a Distribution Unit (DU), or the second device is an Open Central Unit (O-CU) and / or an Open Distribution Unit (O-DU).

22. A communication device, characterized in that, The communication device is configured to perform the channel state information reporting method according to any one of claims 1-21.

23. A communication device, characterized in that, Comprising: a processor and a memory; The memory is configured to store computer instructions, and when the processor executes the instructions, the communication device is caused to perform the channel state information reporting method according to any one of claims 1-21.

24. A communication device, characterized in that, Comprising: a processor and an interface circuit; wherein, the interface circuit is configured to receive code instructions and transmit them to the processor; the processor is configured to run the code instructions to perform the channel state information reporting method according to any one of claims 1-21.

25. A communication device, characterized in that, The communication device includes a processor and a transceiver. The transceiver is configured to perform information interaction between the communication device and other communication devices, and the processor executes program instructions to perform the channel state information reporting method according to any one of claims 1-21.

26. The communication device according to any one of claims 22-25, characterized in that, The communication device is a chip.

27. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a computer program or instructions. When the computer program or instructions run on a computer, the computer is caused to perform the channel state information reporting method according to any one of claims 1-21.

28. A computer program product, characterized in that, The computer program product includes: a computer program or instructions. When the computer program or instructions run on a computer, the computer is caused to perform the channel state information reporting method according to any one of claims 1-21.

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