CN115882910A

CN115882910A - Downlink signal weighting method and related equipment

Info

Publication number: CN115882910A
Application number: CN202111155666.0A
Authority: CN
Inventors: 黄欢欢; 黄昱淋; 徐明涛; 胥恒
Original assignee: Shanghai Huawei Technologies Co Ltd
Current assignee: Shanghai Huawei Technologies Co Ltd
Priority date: 2021-09-29
Filing date: 2021-09-29
Publication date: 2023-03-31

Abstract

The embodiment of the application discloses a downlink signal weighting method, which is applied to the technical field of communication. The method comprises the following steps: the transmitting terminal acquires rank indication information and precoding matrix indication information sent by the receiving terminal. The rank indication information is used for indicating that the rank of the precoding matrix is n, where n is used for indicating the number of the optimal data streams transmitted by the transmitting end under the current downlink channel condition. The number of the radio frequency channels corresponding to the transmitting end is N. And the transmitting terminal determines a target precoding matrix with dimension M x n in a precoding matrix codebook according to the rank indication information and the precoding matrix indication information. Wherein the precoding matrix codebook is a set of precoding matrices with dimension M × S. M is a positive integer greater than N, and S is a positive integer. And the transmitting end determines a weighting matrix corresponding to the downlink signal according to the target pre-coding matrix, wherein the dimensionality of the weighting matrix is N x N. And the transmitting terminal weights the downlink signals according to the weighting matrix and sends the weighted downlink signals to the receiving terminal.

Description

Downlink signal weighting method and related equipment

Technical Field

The embodiment of the application relates to the technical field of communication, and in particular relates to a downlink signal weighting method and related equipment.

Background

In a massive Multiple Input Multiple Output (MIMO) technology, a base station side will configure multiple antennas to serve multiple user terminals in a coverage area. Meanwhile, the base station needs to process the downlink signal by using a precoding technology to reduce interference among multiple users or interference among multiple information streams of the same user. The precoding technology is beneficial to improving the signal quality, realizing space division multiplexing and improving the utilization rate of frequency spectrum.

When a base station processes a downlink signal, it is usually required to sense a channel condition of the downlink channel, then select a precoding matrix based on the channel condition of the downlink channel, and before sending the downlink signal to a terminal, it is required to encode the downlink signal by using the precoding matrix so as to counter attenuation and interference experienced by the downlink signal in a downlink channel transmission process, so that when the terminal receives the downlink signal, the downlink signal can be directly restored, and the efficiency of signal transmission is improved.

In the prior art, a base station generally finds a precoding matrix matched with a downlink channel state in a precoding matrix indicator codebook to encode a downlink signal, however, the number of precoding matrices in the precoding matrix indicator codebook is limited, and the channel state of the downlink channel is complex and changeable, so that the measurement accuracy is limited, and the transmission quality of the downlink signal is affected. How to increase the number of precoding matrices in a codebook so as to better characterize the channel state of a downlink channel becomes a problem to be solved urgently.

Disclosure of Invention

The embodiment of the application provides a downlink signal weighting method and related equipment, wherein a base station increases the number of corresponding precoding matrixes by using a codebook mapping method, so that more precoding matrixes are used for describing and measuring a downlink channel, the measurement precision is improved, and the transmission quality and the transmission efficiency of downlink signals are finally improved.

A first aspect of the embodiments of the present application provides a method for weighting a downlink signal, including:

when a transmitting end needs to send a downlink signal to a receiving end, the receiving end estimates the channel state of a downlink channel according to a received channel state information reference signal. And then determining rank indication information and precoding matrix indication information based on the channel state of the downlink channel, and sending the two information to a transmitting terminal. The rank indication information includes a rank value n, which is used to inform the transmitting end that the number of the optimal data streams transmitted by the transmitting end is n under the current downlink channel condition. After receiving the rank indication information and the precoding matrix indication information, the transmitting end needs to determine a target precoding matrix with dimension M × n in a locally stored precoding matrix codebook. It can be understood that, in order to increase the number of precoding matrices, if the number of radio frequency channels corresponding to the transmitting end is N, that is, the transmitting end may provide N data streams at most simultaneously, then the transmitting end cannot find a target precoding matrix in a precoding matrix codebook corresponding to N, because in the precoding matrix codebook corresponding to N, precoding matrices are all matrices with N row vectors, and the number of precoding matrices is small. Therefore, the transmitting end can determine the target precoding matrix in the precoding matrix codebook additionally containing more precoding matrices. Optionally, the transmitting end may determine a target precoding matrix in the precoding matrix codebook corresponding to M, where all precoding matrices contained in the precoding matrix codebook corresponding to M have M row vectors, and M is greater than N. The dimension of the target precoding matrix is M × n. And finally, the transmitting end weights the downlink signals by using the N x N weighting matrix and then sends the weighted downlink signals to the receiving end.

In the method, the number of the precoding matrixes in the precoding matrix codebook corresponding to the self configuration of the transmitting terminal is less, and the downlink channel cannot be accurately depicted, so that the transmitting terminal can select the precoding matrix codebook with more precoding matrixes, and convert the precoding matrixes in the codebook into the precoding matrixes adaptive to the self configuration so as to increase the precoding matrixes, so that the downlink signals can be measured by using more precoding matrixes, and the quantization precision of the downlink channel is improved. Therefore, the transmitting end can determine a weighting matrix more suitable for the channel condition of the downlink channel to weight the downlink signal, and the transmission quality and the transmission efficiency of the downlink signal are improved.

In an optional embodiment, before transmitting the channel state information reference signal to the receiving end, the transmitting end may determine a weight matrix according to the number N of its corresponding radio frequency channels, so as to implement the conversion of the target precoding matrix, and convert the target precoding matrix into a weighting matrix adapted to the configuration of the transmitting end. And then the converted weighting matrix is used for weighting the downlink signals. The dimension of the target precoding matrix is M x N, and the dimension of the weighting matrix adapted to the transmitting end is N x N, so that the dimension of the weight matrix can be determined to be N x M, and the weight matrix and the target precoding matrix are subjected to matrix multiplication to obtain the weighting matrix.

In an optional embodiment, the precoding matrix indication information sent by the receiving end to the transmitting end includes a matrix index. That is, the receiving end and the transmitting end both store the same precoding matrix codebook (the dimension of the precoding matrix included therein is M × S), after the receiving end evaluates the downlink channel, the receiving end can find a target precoding matrix matched with the channel state of the downlink channel in the precoding matrix codebook based on the evaluation result, then generate a matrix index based on the position of the target precoding matrix in the precoding matrix codebook, and send the matrix index to the transmitting end. The transmitting terminal can query all the precoding matrixes with the dimension of M x n in a locally stored precoding matrix codebook by using the first rank indication information, and then determine target precoding matrixes in the precoding matrixes with the dimension of M x n according to the matrix indexes.

In the above embodiment, the receiving end is a device for performing downlink channel estimation, and thus the target precoding matrix can be determined directly based on the channel estimation result. At this time, the receiving end does not need to inform the base station of the channel estimation result, and the burden of the base station is reduced. Meanwhile, the receiving end only needs to send the matrix index to the transmitting end, so that the communication complexity is reduced.

In an optional embodiment, M corresponds to multiple sets of precoding matrix codebooks, so that the number of precoding matrices is larger, and the channel state of a downlink channel can be more accurately described. And the transmitting end determines the target precoding matrix in which codebook, the target precoding matrix codebook needs to be determined in multiple sets of precoding matrix codebooks according to the configuration parameters of the transmitting end. And then the transmitting terminal determines a target precoding matrix with dimension M x n in a target precoding matrix codebook according to the received rank indication information and precoding matrix indication information.

In an optional embodiment, the configuration parameters of the base station include: the number of horizontal beams, the number of vertical beams, the encryption multiple of the horizontal beams and the encryption multiple of the vertical beams corresponding to the transmitting end; the configuration parameter is related to the number N of the radio frequency channels corresponding to the transmitting end.

A second aspect of the embodiments of the present application provides another method for processing a downlink signal, where the method includes:

the receiving end can obtain the channel state of the downlink channel according to the channel state information reference signal sent by the transmitting end, and then determines a target precoding matrix with dimension M × n in the precoding matrix codebook based on the state of the downlink channel. It can be understood that the value of n is the number of the optimal data streams transmitted by the transmitting end under the current downlink channel condition. In order to increase the number of precoding matrices, if the number of radio frequency channels corresponding to the transmitting end is N, it means that the transmitting end can provide N data streams at most simultaneously, the transmitting end cannot find a target precoding matrix in the precoding matrix codebook corresponding to N, because the precoding matrices in the precoding matrix codebook corresponding to N are all matrices with N row vectors, and the number of precoding matrices is small. Therefore, the transmitting end can determine the target precoding matrix in the precoding matrix codebook additionally containing more precoding matrices. Optionally, the transmitting end may determine a target precoding matrix in the precoding matrix codebook corresponding to M, where all precoding matrices contained in the precoding matrix codebook corresponding to M have M row vectors, and M is greater than N. The dimension of the target precoding matrix is M × n. And then the receiving end determines a matrix index according to the position of the target precoding matrix in the precoding matrix codebook, and determines precoding matrix indication information according to the matrix index. And then the receiving end sends the precoding matrix indication information to the transmitting end, so that the transmitting end can determine a weighting matrix based on the precoding matrix indication information, and then sends the downlink signals after weighting.

A third aspect of the embodiments of the present application provides a transmitting end device, where the transmitting end device includes:

and the acquiring unit is used for acquiring the rank indication information and the precoding matrix indication information sent by the receiving end. The rank indication information is used for indicating the value of the rank of the precoding matrix to be n, wherein n is used for indicating the number of the optimal data streams transmitted by the transmitting terminal equipment under the current downlink channel condition; the number of radio frequency channels corresponding to the transmitting terminal equipment is N, wherein N is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N.

And the determining unit is used for determining a target precoding matrix with dimension M x n in a precoding matrix codebook according to the rank indication information and the precoding matrix indication information. Wherein the precoding matrix codebook is a set of precoding matrices with dimension M × S. M is a positive integer greater than N, and S is a positive integer.

And the determining unit is further configured to determine a weighting matrix corresponding to the downlink signal according to the target precoding matrix, wherein the dimension of the weighting matrix is N x N.

And the processing unit is used for weighting the downlink signals according to the weighting matrix.

And the sending unit is used for sending the weighted downlink signal to the receiving end equipment.

In an optional embodiment, the determining unit is specifically configured to determine the weight matrix according to the number N of radio frequency channels corresponding to the transmitting end device. The dimension of the weight matrix is N M. And performing matrix multiplication operation on the weight matrix and the target precoding matrix to obtain a weighting matrix.

In an optional embodiment, the precoding matrix indication information includes a matrix index. And the determining unit is specifically configured to query, according to the rank indication information, all precoding matrices with dimensions M × n in a precoding matrix codebook. And determining a target precoding matrix in all the precoding matrixes with the dimensions of M x n according to the matrix index.

In an optional embodiment, the transmitting-end device includes multiple sets of precoding matrix codebooks. And the determining unit is also used for determining a target precoding matrix codebook in the plurality of sets of precoding matrix codebooks according to the configuration parameters of the transmitting terminal. And determining a target precoding matrix with dimension M x n in the target precoding matrix codebook according to the rank indication information and the precoding matrix indication information.

In an optional embodiment, the configuration parameters include the number of horizontal beams, the number of vertical beams, the horizontal beam encryption multiple, and the vertical beam encryption multiple corresponding to the transmitting end. The configuration parameters are related to the number N of the radio frequency channels corresponding to the transmitting end.

A fourth aspect of the embodiments of the present application provides a receiving end device, including:

an obtaining unit, configured to obtain channel state information of a downlink channel.

And the determining unit is used for determining a target precoding matrix with dimension M x n in the precoding matrix codebook according to the channel state information. Wherein, n is used for indicating the number of the optimal data stream transmitted by the transmitting terminal under the current downlink channel condition; the number of radio frequency channels corresponding to the transmitting end is N, wherein N is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N. The precoding matrix codebook is a set of precoding matrices with dimension M × S. Wherein M is a positive integer greater than N, and S is a positive integer.

The determining unit is further configured to determine a matrix index according to a position of the target precoding matrix in the precoding matrix codebook.

And the determining unit is further used for determining the precoding matrix indication information according to the matrix index.

And the sending unit is used for sending the precoding matrix indication information to the sending end so that the sending end equipment weights the downlink signals according to the precoding matrix indication information.

In an optional embodiment, the determining unit is further configured to determine a value of n, and determine the rank indication information according to n.

And the sending unit is further configured to send the rank indication information to the transmitting end device, so that the transmitting end device weights the downlink signal according to the precoding matrix indication information.

The fifth aspect of the embodiments of the present application further provides a transmitting end device, including:

a processor and a memory, the processor coupled with the memory.

A memory for storing a program.

A processor, configured to execute a program in a memory, so that a transmitting end device performs the method for weighting the downlink signal according to any one of the embodiments of the first aspect to the second aspect.

A sixth aspect of the embodiments of the present application further provides a receiving end device, including:

a processor and a memory, the processor coupled with the memory.

A memory for storing a program.

A processor, configured to execute a program in a memory, so that a receiving end device performs the method for weighting the downlink signal according to any one of the embodiments of the first aspect to the second aspect.

In a seventh aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and when the program runs on a computer, the computer is caused to execute the method for weighting a downlink signal according to the first aspect, or the computer is caused to execute the method for weighting a downlink signal according to the second aspect.

Drawings

Fig. 1 is a schematic flowchart of a method for weighting a downlink signal according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of a transmitting-end device according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a receiving end device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of another transmitting-end device provided in an embodiment of the present application;

fig. 5 is a schematic structural diagram of another receiving end device according to an embodiment of the present application.

Detailed Description

The embodiment of the application provides a downlink signal weighting method and related equipment, wherein a base station increases the number of corresponding precoding matrixes by using a codebook mapping method, so that more precoding matrixes are used for describing and measuring a downlink channel, the measurement precision is improved, and the transmission quality and the transmission efficiency of a downlink signal are finally improved.

Technical terms used in the embodiments of the present invention are only used for illustrating specific embodiments and are not intended to limit the present invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Further, the use of "including" and/or "comprising" in the specification is intended to specify the presence of stated features, integers, steps, operations, elements, and/or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, and/or components.

The corresponding structures, materials, acts, and equivalents of all means or step plus function elements in the claims below, if any, are intended to include any structure, material, or act for performing the function in combination with other claimed elements as specifically claimed. The description of the present invention has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the invention in the form disclosed.

The Multiple Input Multiple Output (MIMO) technology is a technology that uses a plurality of transmitting antennas and receiving antennas at a transmitting end and a receiving end, respectively, and transmits and receives signals through the plurality of antennas at the transmitting end and the receiving end, thereby improving communication quality. The MIMO technology can fully utilize space resources and realize multi-transmission and multi-reception through a plurality of antennas. The method can improve the system channel capacity by times without increasing the frequency spectrum resources and the antenna transmitting power. And thus is considered as a core technology of next generation mobile communication.

During signal transmission, the state of the downlink channel will cause the downlink signal to be attenuated during transmission. Meanwhile, interference occurs between multiple parallel signals. If the base station directly transmits the downlink signal to the terminal device, the terminal device must restore the received signal through a complex receiving algorithm, so that the terminal device can receive the correct downlink signal. The method will lead to the increase of the workload of the terminal device, and the receiving algorithm is generally more complex, and the signal restoring capability is worse, which seriously affects the downlink transmission performance.

And if the transmitting end (base station) can sense the channel state of the downlink channel in advance and preprocess the downlink signal based on the channel state, the processed downlink signal can counteract the influence of signal fading or interference on the downlink signal in the transmission process. Therefore, when the processed downlink signal is transmitted to the terminal equipment (receiving end), the downlink signal can be directly obtained without restoring the downlink signal. Therefore, the calculation complexity of a receiving end is greatly reduced, and the precoding technology is a technology for preprocessing downlink signals.

The transmitting end may use a precoding technology to pre-process the downlink signal, and then transmit the pre-processed downlink signal to the receiving end. Specifically, the transmitting end may optimize the transmitting power, the transmitting rate, and the transmitting direction of each data stream by using a precoding technique, so as to achieve the purpose that the transmitter eliminates part or all of interference between data streams and data stream attenuation in advance, and improve the transmission performance. In a precoding system, a transmitting end can optimize the spatial characteristics of a downlink signal according to channel conditions, so that the spatial distribution characteristics of the downlink signal are matched with the downlink channel conditions. Therefore, the dependence of signal transmission on a receiving algorithm of a receiving end can be effectively reduced.

Specifically, the transmitting end may perform weighting processing on the downlink signal based on the precoding matrix, and then transmit the weighted downlink signal to the receiving end. That is, the channel state of the downlink channel can be represented by a channel matrix, the channel matrix is subjected to singular value decomposition, and a precoding matrix matched with the channel matrix is obtained according to the decomposition result. The existing precoding is generally based on a codebook, and the codebook refers to a set formed by a limited number of precoding matrixes. When the transmitting end performs precoding on the downlink signal, a precoding matrix included in the codebook must be utilized.

Therefore, when the transmitting end transmits the downlink signal to the receiving end, the channel state of the downlink channel needs to be acquired first, then the precoding matrix adaptive to the channel state is selected in the codebook, and then the downlink signal is encoded (weighted) according to the selected precoding matrix and then transmitted to the receiving end, so that the receiving end can obtain the original downlink signal without performing complex calculation on the received signal.

And it is very difficult for the transmitting end to directly acquire the channel state of the downlink channel. This is because the base station cannot directly sense the channel state of the downlink channel. The MIMO system includes two transmission modes, one is a Time Division Duplexing (TDD) mode, and the other is a Frequency Division Duplexing (FDD) mode. In the TDD mode, there is reciprocity between uplink and downlink channels. Therefore, the base station may measure a channel state of an uplink channel according to a channel Sounding Reference Signal (SRS) sent by the terminal device, and then determine a channel state of a downlink channel based on the channel state of the uplink channel. However, if the SRS has poor signal quality, the base station cannot acquire the channel state of the uplink channel, and naturally cannot acquire the channel state of the downlink channel. In the FDD mode, there is no reciprocity between the uplink and downlink channels, and the base station cannot acquire the channel state of the downlink channel. Therefore, in the codebook-based precoding scheme, usually, the terminal device acquires a channel state of a downlink channel, generates a Precoding Matrix Indicator (PMI) according to the channel state of the downlink signal, feeds the PMI back to the base station, and determines a precoding matrix according to the PMI.

In a communication system, the data rate that can be supported by the feedback channel is typically limited. In order to reduce the feedback overhead, a codebook-based precoding scheme is determined. Usually, a codebook can be formed by several precoding matrices, and the content of the codebook is known to both the transmitting end and the receiving end. And the receiving end measures the channel state of the downlink channel to obtain a channel matrix. Then, according to a certain optimization criterion, a precoding matrix most matched with the current channel condition is selected from a common codebook, a PMI is determined according to the most matched precoding matrix, and the PMI is sent to a transmitting terminal. The transmitting terminal finds a precoding matrix in a codebook based on the PMI, then encodes the downlink signal according to the precoding matrix, and then sends the encoded downlink signal to a corresponding downlink channel to be transmitted to the receiving terminal.

Based on the above description, it can be seen that the precoding matrix is the key for compensating the downlink signal and excluding other interference. The precoding matrix corresponds to the state of the downlink channel. Therefore, the more precoding matrixes are, the more corresponding downlink channel states are, and the more detailed the measurement of the downlink channel is. The less the precoding matrix is, the coarser the measurement of the downlink channel is, which will seriously affect the downlink transmission performance.

Conventionally, a 2T base station generally performs precoding processing of a downlink signal using a 2port codebook. The 4T base station generally performs precoding processing of a downlink signal using a 4port codebook. The following describes the precoding matrices included in the 2port codebook and the 4port codebook in detail:

2port codebook

According to the codebook design principle, all precoding matrixes in the 2port codebook comprise two row vectors, and when the rank of the matrixes is 1, the precoding matrixes in the 2port codebook are as follows:

where n is 0, 1, 2, and 3, so there are 4 precoding matrices in total.

When the rank of the matrix is 2, the precoding matrix in the 2port codebook is:

where n is 0 and 1, so there are 2 precoding matrices.

As can be seen from the above codebook, the number of precoding matrices in the 2port codebook is severely insufficient.

(two) 4port codebook

According to the codebook design principle, all precoding matrixes in the 4port codebook comprise four row vectors, and when the rank of the matrix is 1, the precoding matrixes in the 4port codebook are as follows:

wherein, the value of l is any integer from 0 to 7; n takes values of 0, 1, 2, 3, so that there are 8 × 4, i.e. 32 precoding matrices.

When the rank of the matrix is 2, the precoding matrix in the 4port codebook is:

at this time, the value of l is any integer from 0 to 7; n is 0 or 1,k ₁ Is 0 or 4, thus a total of 8 x 2, i.e. 32 codebooks.

When the rank of the matrix is 3, the precoding matrix in the 4port codebook is:

at this time, the value of l is any integer from 0 to 7; n takes the value 0 or 1, so that there are 8 × 2, i.e., 16 codebooks.

When the rank of the matrix is 4, the precoding matrix in the 4port codebook is:

Therefore, the number of precoding matrices in the 4port codebook is also small.

It can be understood that when the number of precoding matrices in the codebook is not large enough, it will be difficult to accurately quantize the channel state of the downlink channel. Therefore, in order to improve quantization accuracy, it is necessary to weight the downlink signal using a codebook having a larger number of precoding matrices so that the number of matrices for finally encoding the downlink signal increases.

In view of the above problems, the embodiments of the present application provide a new method for weighting downlink signals. And quantizing the channel state of the downlink channel by using a precoding matrix in an 8port codebook. And then, a precoding matrix in the 8port codebook is converted into a weighting matrix which accords with the configuration of the base station, and the mapping from the 8port codebook to a 2port codebook or a 4port codebook is realized. And finally, precoding the downlink signals by using the weighting matrix and then transmitting the downlink signals. Because the 8port codebook contains a large number of precoding matrixes, when the 8port codebook is mapped to a 2port codebook or a 4port codebook, a larger number of weighting matrixes can be obtained, so that the downlink channel state can be better corresponded, and the quantization precision is improved.

Before introducing the method, a precoding matrix in an 8port codebook is introduced:

a total of 8 ports corresponds to two different sets of codebooks, which are associated with some configuration parameters of the base station. Specifically, the number of horizontal beams, the number of vertical beams, the horizontal beam encryption multiple, and the vertical beam encryption multiple of the base station are related to each other. And when the number of the horizontal beams is 2, the number of the vertical beams is 2, the encryption multiple of the horizontal beams is 4 and the encryption multiple of the vertical beams is 4, 8 ports correspond to the first set of codebooks. And when the number of the horizontal beams is 4, the number of the vertical beams is 1, the encryption multiple of the horizontal beams is 4 and the encryption multiple of the vertical beams is 1, 8 ports correspond to the second set of codebook.

The number of horizontal beams is 2, the number of vertical beams is 2, the encryption multiple of the horizontal beams is 4, the encryption multiple of the vertical beams is 4:

according to the codebook design principle, all precoding matrixes in the 8-port codebook comprise eight row vectors, and when the rank of the matrix is 1, the precoding matrixes in the 8-port codebook are as follows:

wherein, the value of l is any integer from 0 to 7; m is an integer from 0 to 7; n takes values of 0, 1, 2, 3, so that there are 8 × 4, i.e., 256 precoding matrices.

When the rank of the matrix is 2, the precoding matrix in the 8port codebook is:

in this case, l is an arbitrary integer from 0 to 7, and m is an arbitrary integer from 0 to 7. k is a radical of formula ₁ Has a value of 0 or 4,k ₂ The value of (2) is 0 or 4, n takes the value 0 or 1, and thus there are a total of 8 × 2, i.e., 512 precoding matrices.

When the rank of the matrix is 3, the precoding matrix in the 8port codebook is:

When the rank of the matrix is 4, the precoding matrix in the 8port codebook is:

in this case, l is an arbitrary integer from 0 to 7, and m is an arbitrary integer from 0 to 7. k is a radical of ₁ Has a value of 0 or 4,k ₂ Has a value of 0 or 4, n has a value of 0 or 1, thus a total of 8 x 2, i.e. 512 precoding matrices.

(II) the number of horizontal beams is 4, the number of vertical beams is 1, the encryption multiple of the horizontal beams is 4, and the encryption multiple of the vertical beams is 1:

wherein, the value of l is any integer from 0 to 15; n takes values of 0, 1, 2, 3, so that there are 16 × 4, i.e., 64 precoding matrices.

wherein, the value of l is any integer from 0 to 15; k is a radical of ₁ The values of (c) are 0, 4, 8, 12, n are 0, 1, and thus there are 16 × 4 × 2, i.e., 128 precoding matrices.

wherein, the value of l is any integer from 0 to 15; k is a radical of ₁ The values of (c) are 0, 4, 8, 12, n are 0, 1, thus there are 16 x 4 x 2, i.e. 128 precoding matrices.

wherein, the value of l is any integer from 0 to 15;k ₁ the values of (c) are 0, 4, 8, 12, n are 0, 1, thus there are 16 x 4 x 2, i.e. 128 precoding matrices.

Based on the two sets of 8port codebooks, fig. 1 is a schematic flow chart of a downlink signal weighting method provided in the embodiment of the present application, where the downlink signal weighting method includes the following steps:

101. and the transmitting end configures a feedback mode.

Before a sending end sends a downlink signal, a feedback mode needs to be configured, where the feedback mode may include Rank Indicator (RI), precoding Matrix Indicator (PMI), channel Quality Indicator (CQI), and the like. And is used for informing the receiving end to feed back the information to the transmitting end. Meanwhile, the transmitting end also needs to configure a port number, which is used for indicating the number of the logical antenna ports of the transmitting end. Thus, the receiving end needs to feed back the information to the transmitting end according to the feedback mode.

102. And the transmitting terminal determines a weight matrix according to the number of the radio frequency channels corresponding to the transmitting terminal.

After the port number is configured at the transmitting end, the weight matrix is determined according to the number of the radio frequency channels corresponding to the transmitting end. The weight matrix is a weighting matrix of the csi-rs, and can be used for weighting the csi-rs. If the port number configured by the transmitting end is M and the number of the radio frequency channels corresponding to the transmitting end is N, the dimension of the weight matrix is N × M.

103. The transmitting end transmits the channel state information reference signal to the receiving end.

When a transmitting end (base station) needs to send a downlink signal to a receiving end (terminal device), the transmitting end cannot directly sense the channel state of a downlink channel. Therefore, the transmitting end can send a channel state information reference signal to the receiving end, and the receiving end measures the channel state of the downlink channel. Specifically, the base station may weight the channel state information reference signal by using the weight matrix, and send the weighted channel state information reference signal to the receiving end.

104. And the receiving end determines the channel state of the downlink channel according to the received channel state information reference signal.

The channel state information signal is transmitted from the transmitting end to the receiving end through the downlink channel, signal attenuation is carried out according to the channel state of the downlink channel, and interference of signals transmitted in other parallel channels can be received. When the csi reference signal is transmitted to the receiving end, it is no longer the original csi reference signal. At this time, the receiving end can measure the downlink channel according to the difference between the received channel state information reference signal and the original channel state information reference signal, and determine the channel state of the downlink channel.

105. And the receiving end determines the value of the rank and generates rank indication information according to the value of the rank.

After the receiving end finishes measuring the channel state of the downlink channel, the value of the rank needs to be determined first. The rank value is used to indicate the number of the optimal data streams transmitted by the transmitting terminal under the current downlink channel condition. It can be understood that the base station may transmit multiple data streams simultaneously, the 2T base station may transmit at most 2 data streams simultaneously, and the 4T base station may transmit at most 4 data streams simultaneously. But the number of the optimal data streams transmitted by the transmitting end is related to the channel state of the current downlink channel. Therefore, before receiving the downlink signal, the receiving end determines the number of the optimal data streams transmitted by the transmitting end under the current downlink channel condition, and determines the value of the rank according to the number. And then generating rank indication information according to the value of the rank for informing the transmitting end. For example, if the value of the rank determined by the receiving end is 2, it indicates that the transmitting end may simultaneously transmit 2 data streams to the receiving end. Even if the base station can simultaneously transmit 4 data streams, only 2 data streams can be transmitted to the receiving end by using two parallel downlink channels.

106. And the receiving end determines a target precoding matrix in the codebook according to the channel state of the downlink channel.

After the receiving end determines the value of the rank, the channel state of the downlink channel is needed, and a target precoding matrix is determined in the codebook. It can be understood that, in order to measure the downlink channel more accurately, the target precoding matrix needs to be determined in a codebook with more precoding matrices. Specifically, the receiving end may determine the codebook according to the port number configured by the transmitting end. For example, if the port number configured at the transmitting end is M, then a codebook corresponding to M needs to be searched for a target precoding matrix. The precoding matrices in the codebook all comprise M row vectors. The number S of the column vectors is related to the value of M and the number of the radio frequency channels corresponding to the transmitting end. Illustratively, in the single codeword case, the maximum value of S is the minimum of M, N, and 4. That is, assuming that the minimum value among M, N, and 4 is 4, S may be sequentially taken from 1 to 4. That is, the original codebook includes precoding matrices with dimensions M × 1, M × 2, M × 3, M × 4. And in the case of double codewords, the maximum value of S is the minimum of M, N and 8. That is, assuming that the minimum value of M, N, and 8 is N, S may take values from 1 to N in sequence. That is, the original codebook includes a precoding matrix having a dimension M × 1, M × 2, M × 3.

Illustratively, when the number of radio frequency channels of the transmitting end is 2, that is, the transmitting end is 2T, the transmitting end does not go to a codebook corresponding to 2 ports to search for a target precoding matrix, but needs to go to a codebook corresponding to 8 ports to search for a target precoding matrix.

Illustratively, when the number of radio frequency channels of the transmitting end is 4, that is, the transmitting end is 4T, the transmitting end does not go to a codebook corresponding to 4 ports to search for a target precoding matrix, but needs to go to a codebook corresponding to 8 ports to search for a target precoding matrix.

The transmitting end may find a target precoding matrix corresponding to the channel state in a codebook corresponding to 8 ports based on the channel state of the downlink channel. Because 8 ports correspond to two sets of codebooks, the receiving end also needs to determine which set of codebook is selected according to the configuration of the transmitting end, namely the number of horizontal beams, the number of vertical beams, the horizontal beam encryption multiple and the vertical beam encryption multiple, and then determines a target precoding matrix in the target codebook.

107. And the receiving end generates a matrix index according to the position of the target pre-coding matrix in the codebook.

After the receiving end determines the target pre-coding matrix, it needs to generate a matrix index according to the position of the target pre-coding matrix in the codebook. Because the receiving end and the transmitting end store the same codebook, the receiving end only needs to send the matrix index to the transmitting end, and the transmitting end can inquire the locally stored codebook according to the matrix index to determine the target precoding matrix. Therefore, the receiving end does not need to send the target precoding matrix to the transmitting end, uplink channel resources are saved, and meanwhile, the communication complexity is reduced.

108. And the receiving end generates precoding matrix indication information according to the matrix index.

Specifically, the receiving end needs to generate precoding matrix indication information according to the matrix index, and the information of the target precoding matrix is notified to the transmitting end by using the precoding matrix indication information.

109. And the receiving end transmits rank indication information and precoding matrix indication information to the transmitting end.

And after the receiving end generates the two pieces of information, the rank indication information and the precoding matrix indication information are sent to the transmitting end.

110. And the transmitting terminal determines a target precoding matrix according to the rank indication information and the precoding matrix indication information.

The transmitting terminal can query a locally stored codebook based on the rank indication information and the precoding matrix indication information, and determine a target precoding matrix in the codebook. Specifically, if the rank value is n, the transmitting end may first determine, based on the rank indication information, all precoding matrices with dimensions M × n in the codebook. And then according to the matrix index, determining a specific certain target precoding matrix in the precoding matrixes with all dimensions of M x n.

After the transmitting end determines the target precoding matrix, the matrix mapping is needed. Converting it into a weighting matrix conforming to the matrix configuration. When the number of antennas corresponding to the transmitting end is N and the rank determined by the receiving end is N, a weighting matrix with dimension N × N is finally obtained to weight the downlink signal. However, the dimension of the target precoding matrix determined by the transmitting end is M × N, and then a weight matrix with the dimension of N × M can be determined to realize the conversion of the target precoding matrix in order to obtain the final weighting matrix.

111. And the transmitting terminal determines a weighting matrix according to the target precoding matrix and the weight matrix.

For example, the transmitting end may perform matrix multiplication on the weight matrix with the dimension N × M and the target precoding matrix with the dimension M × N to obtain the weight matrix with the dimension N × N. It is to be understood that the weighting matrix is a weighting matrix corresponding to the downlink shared channel, and is used for weighting the transmitted downlink signal.

112. And the transmitting terminal weights the downlink signals according to the weighting matrix.

After the transmitting end determines the weighting matrix, it needs to use the weighting matrix to weight (encode) the downlink signal. The term is used to counteract the attenuation and interference of the downlink signal during the transmission of the downlink channel.

113. And the transmitting terminal sends the weighted downlink signal to the receiving terminal.

The transmitting terminal sends the weighted downlink signal to the receiving terminal, so that the receiving terminal can obtain the original downlink signal without a complex receiving algorithm. The computational complexity of the receiving end is reduced.

In the method, the number of the precoding matrixes in the precoding matrix codebook corresponding to the self configuration of the transmitting terminal is less, and the downlink channel cannot be accurately depicted, so that the transmitting terminal can select the precoding matrix codebook with more precoding matrixes, and convert the precoding matrixes in the codebook into the precoding matrixes adaptive to the self configuration so as to increase the precoding matrixes, so that the downlink signals can be measured by using more precoding matrixes, and the quantization precision of the downlink channel is improved. Therefore, the transmitting end can determine a weighting matrix more adaptive to the channel condition of the downlink channel to weight the downlink signal, and the transmission quality and the transmission efficiency of the downlink signal are improved.

The method provided by the embodiment of the present application is described below with reference to specific examples:

example 1, when the base station is a 2T base station, and the number of horizontal beams is 4, the number of vertical beams is 1, the encryption multiple of the horizontal beams is 4, and the encryption multiple of the vertical beams is 1;

firstly, determining a weight matrix as:

if the value of the rank determined by the receiving end is 1, the target precoding matrix determined by the receiving end in the 8port codebook is:

matrix multiplication is carried out on the weight matrix and the target precoding matrix, and the obtained weighting matrix is as follows:

at this time, 16 weighting matrices corresponding to a value of l of any positive integer from 0 to 15, that is, a rank of 1, are present, and the number of matrices is greatly increased compared to 4 precoding matrices in the original 2-port codebook.

If the value of the rank determined by the receiving end is 2, the obtained weighting matrix is:

in this case, l is any positive integer of 0 to 15, k ₁ The values of (2) are 0, 4, 8 and 12, that is, the number of the weighting matrixes corresponding to the rank of 2 is 16 × 4, and the number of the matrixes is greatly increased compared with the number of the precoding matrixes 2 in the original 2port codebook.

Example 2 when the base station is a 4T base station and the number of horizontal beams is 2, the number of vertical beams is 2, the horizontal beam encryption multiple is 4, the vertical beam encryption multiple is 4,

the weight matrix may be determined to be:

based on the weight matrix, if the value of the rank is 1, the obtained weighting matrix is:

at this time, the value of l is any positive integer from 0 to 7, the value of m is any positive integer from 0 to 7, and the value of n is 0, 1, 2, and 3, that is, 8 × 4 weighting matrices with rank 1 correspond, and the number of matrices is greatly increased compared to the 32 precoding matrices in the original 4port codebook.

If the rank value is 2, the resulting weighting matrix is:

at this time, l has a value of any positive integer of 0 to 7, m has a value of any positive integer of 0 to 7, k ₁ Have values of 0 and 4,k ₂ The values of (1) are 0 and 4, the values of n are 0 and 1, namely, the weighting matrix corresponding to the rank of 2 is 8 × 2, and compared with the 32 precoding matrices in the original 4port codebook, the number of the matrices is greatly increased.

If the rank value is 3, the resulting weighting matrix is:

at this time, l has a value of any positive integer of 0 to 7, m has a value of any positive integer of 0 to 7, k ₁ Has values of 0 and 4,k ₂ The values of (1) are 0 and 4, the values of n are 0 and 1, namely, the weighting matrix corresponding to the rank of 3 is 8 × 2, and compared with the 16 precoding matrices in the original 4port codebook, the number of the matrices is greatly increased.

If the rank value is 4, the resulting weighting matrix is:

at this time, l has a value of 0 to 7Positive integer, any positive integer having a value of 0 to 7 for m, k ₁ Have values of 0 and 4,k ₂ The values of (1) are 0 and 4, the values of n are 0 and 1, namely, the weighting matrix corresponding to the rank of 4 is 8 × 2, and compared with the 16 precoding matrices in the original 4port codebook, the number of the matrices is greatly increased.

Example 3 when the base station is a 4T base station and the number of horizontal beams is 2, the number of vertical beams is 2, the horizontal beam encryption multiple is 4, the vertical beam encryption multiple is 4,

the weight matrix may be determined to be:

at this time, 8 × 8 weighting matrices with rank of 2 are provided for each positive integer of 0 to 7 of l and each positive integer of 0 to 7 of m, which greatly increases the number of matrices compared to 32 precoding matrices in the original 4-port codebook.

If the rank value is 2, the resulting weighting matrix is:

at this time, l has a value of any positive integer of 0 to 7, m has a value of any positive integer of 0 to 7, k ₁ Has values of 0 and 4,k ₂ The values of (1) are 0 and 4, that is, the weighting matrix corresponding to the rank of 1 has 8 × 2, and the number of the matrix is greatly increased compared with the 32 precoding matrices in the original 4port codebook.

If the rank value is 3, the resulting weighting matrix is:

at this time, l has a value of any positive integer of 0 to 7, m has a value of any positive integer of 0 to 7, k ₁ Have values of 0 and 4,k ₂ The values of (3) are 0 and 4, that is, the rank is 3, the corresponding weighting matrixes have 8 × 2, and the quantity of the matrixes is greatly increased compared with the quantity of the precoding matrixes 16 in the original 4port codebook.

If the rank value is 4, the resulting weighting matrix is:

at this time, l has a value of any positive integer of 0 to 7, m has a value of any positive integer of 0 to 7, k ₁ Has values of 0 and 4,k ₂ The values of (4) are 0 and 4, that is, the rank is 4, the corresponding weighting matrixes have 8 × 2, and the quantity of the matrixes is greatly increased compared with the quantity of the precoding matrixes 16 in the original 4port codebook.

Fig. 2 is a schematic structural diagram of a transmitting end device provided in an embodiment of the present application, and as shown in fig. 2, the transmitting end device includes:

an obtaining unit 201 is configured to obtain rank indication information and precoding matrix indication information sent by a receiving end. The rank indication information is used for indicating that the rank of the precoding matrix is n, wherein n is used for indicating the number of the optimal data streams transmitted by the transmitting terminal equipment under the current downlink channel condition; the number of radio frequency channels corresponding to the transmitting terminal equipment is N, wherein N is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N.

Determining unit 202, configured to determine, according to the rank indication information and the precoding matrix indication information, a target precoding matrix with dimension M × n in a precoding matrix codebook. Wherein the precoding matrix codebook is a set of precoding matrices with dimension M × S. M is a positive integer greater than N, and S is a positive integer.

The determining unit 202 is further configured to determine a weighting matrix corresponding to the downlink signal according to the target precoding matrix, where a dimension of the weighting matrix is N x N.

The processing unit 203 is configured to weight the downlink signal according to the weighting matrix.

A sending unit 204, configured to send the weighted downlink signal to the receiving end device.

In an optional embodiment, the determining unit 202 is specifically configured to determine the weight matrix according to the number N of radio frequency channels corresponding to the transmitting end device. The dimension of the weight matrix is N M. And performing matrix multiplication operation on the weight matrix and the target precoding matrix to obtain a weighting matrix.

In an alternative embodiment, the precoding matrix indication information includes a matrix index. The determining unit 202 is specifically configured to query, according to the rank indication information, all precoding matrices with dimensions of M × n in a precoding matrix codebook. And determining a target precoding matrix in all precoding matrices with the dimension of M x n according to the matrix index.

In an optional embodiment, the transmitting-end device includes multiple sets of precoding matrix codebooks. The determining unit 202 is further configured to determine a target precoding matrix codebook from the multiple sets of precoding matrix codebooks according to the configuration parameters of the transmitting end. And determining a target precoding matrix with dimension M x n in the target precoding matrix codebook according to the rank indication information and the precoding matrix indication information.

Fig. 3 is a schematic structural diagram of a receiving end device according to an embodiment of the present application, and as shown in fig. 3, the receiving end device includes:

an obtaining unit 301, configured to obtain channel state information of a downlink channel.

A determining unit 302, configured to determine, according to the channel state information, a target precoding matrix with a dimension M × n in a precoding matrix codebook. Wherein, n is used for indicating the number of the optimal data stream transmitted by the transmitting terminal under the current downlink channel condition; the number of radio frequency channels corresponding to the transmitting end is N, wherein N is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N. The precoding matrix codebook is a set of precoding matrices of dimension M x S. Wherein M is a positive integer greater than N, and S is a positive integer.

The determining unit 302 is further configured to determine a matrix index according to a position of the target precoding matrix in the precoding matrix codebook.

The determining unit 302 is further configured to determine precoding matrix indication information according to the matrix index.

A sending unit 303, configured to send the precoding matrix indication information to the sending end, so that the sending end device weights the downlink signal according to the precoding matrix indication information.

In an optional embodiment, the determining unit 302 is further configured to determine a value of n, and determine the rank indication information according to n.

The sending unit 303 is further configured to send the rank indication information to the transmitting end device, so that the transmitting end device weights the downlink signal according to the precoding matrix indication information.

Please refer to fig. 4, which is a schematic structural diagram of another transmitting-end device according to an embodiment of the present application, where the transmitting-end device includes: a processor 401, a memory 402, a communication interface 403.

The processor 401, the memory 402, and the communication interface 403 are connected to each other by a bus; the bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.

Memory 402 may include volatile memory (volatile memory), such as random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a Hard Disk Drive (HDD) or a solid-state drive (SSD); the memory 402 may also comprise a combination of memories of the kind described above.

The processor 401 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP. The processor 401 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.

The communication interface 403 may be a wired communication interface, such as an ethernet interface, a wireless communication interface, or a combination thereof. The ethernet interface may be an optical interface, an electrical interface, or a combination thereof. The wireless communication interface may be a WLAN interface, a cellular network communication interface, a combination thereof, or the like.

Optionally, the memory 402 may also be configured to store program instructions, and the processor 401 may invoke the program instructions stored in the memory 402, and may perform steps performed by the transmitting end in the embodiment of the method shown in fig. 1, which is not described herein again specifically.

Please refer to fig. 5, which is a schematic structural diagram of another receiving end device according to an embodiment of the present application, where the receiving end device includes: a processor 501, a memory 502, and a communication interface 503.

The processor 501, the memory 502, and the communication interface 503 are connected to each other by a bus; the bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.

Memory 502 may include volatile memory (volatile memory), such as random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a hard disk (HDD) or a solid-state drive (SSD); the memory 502 may also comprise a combination of memories of the kind described above.

The processor 501 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of CPU and NP. The processor 501 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.

The communication interface 503 may be a wired communication interface, such as an ethernet interface, a wireless communication interface, or a combination thereof. The ethernet interface may be an optical interface, an electrical interface, or a combination thereof. The wireless communication interface may be a WLAN interface, a cellular network communication interface, a combination thereof, or the like.

Optionally, the memory 502 may also be configured to store program instructions, and the processor 501 invokes the program instructions stored in the memory 502, and may perform steps performed by the receiving end in the embodiment of the method shown in fig. 1, which is not described herein again specifically.

An embodiment of the present application further provides a computer program product, which when executed on a computer, causes the computer to perform the steps performed by the transmitting end or the receiving end in the method described in the foregoing embodiment shown in fig. 1.

An embodiment of the present application further provides a computer-readable storage medium, in which a program for signal processing is stored, and when the program runs on a computer, the computer is enabled to execute the steps performed by the transmitting end or the receiving end in the method described in the foregoing embodiment shown in fig. 1.

The transmitting terminal device and the receiving terminal device provided by the embodiment of the application can be chips, and the chips comprise: a processing unit, which may be, for example, a processor, and a communication unit, which may be, for example, an input/output interface, a pin or a circuit, etc. The processing unit can execute the computer execution instructions stored in the storage unit to make the chip execute the next signal processing method described in the embodiment shown in fig. 1. Alternatively, the storage unit may be a storage unit in the chip, such as a register, a cache, and the like, and the storage unit may also be a storage unit located outside the chip in the wireless access device, such as a read-only memory (ROM) or another type of static storage device that can store static information and instructions, a Random Access Memory (RAM), and the like.

Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus necessary general-purpose hardware, and certainly can also be implemented by special-purpose hardware including special-purpose integrated circuits, special-purpose CPUs, special-purpose memories, special-purpose components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, the implementation of a software program is more preferable. Based on such understanding, the technical solutions of the present application may be substantially embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, an exercise device, or a network device) to execute the method according to the embodiments of the present application.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may 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. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, training device, or data center to another website site, computer, training device, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a training device, a data center, etc., that incorporates one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.

Claims

1. A method for weighting a downlink signal, the method comprising:

a transmitting terminal acquires rank indication information and precoding matrix indication information sent by a receiving terminal; the rank indication information is used for indicating the value of the rank of the precoding matrix to be n, wherein the n is used for indicating the number of the optimal data streams transmitted by the transmitting terminal under the current downlink channel condition; the number of the radio frequency channels corresponding to the transmitting end is N; n is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N;

the transmitting terminal determines a target precoding matrix with dimension M x n in a precoding matrix codebook according to the rank indication information and the precoding matrix indication information; wherein the precoding matrix codebook is a set of precoding matrices of dimension M S; m is a positive integer larger than N, and S is a positive integer;

the transmitting terminal determines a weighting matrix corresponding to the downlink signal according to the target pre-coding matrix, wherein the dimensionality of the weighting matrix is N x N;

and the transmitting terminal weights the downlink signal according to the weighting matrix and sends the weighted downlink signal to the receiving terminal.

2. The method of claim 1, wherein the determining, by the transmitting end, the weighting matrix corresponding to the downlink signal according to the target precoding matrix comprises:

the transmitting terminal determines a weight matrix according to the number N of the radio frequency channels corresponding to the transmitting terminal; wherein the dimension of the weight matrix is N x M;

and the transmitting terminal performs matrix multiplication operation on the weight matrix and the target pre-coding matrix to obtain the weighting matrix.

3. The method according to any one of claims 1 to 2, wherein the precoding matrix indicator information comprises a matrix index, and the determining, by the transmitting end, a target precoding matrix with dimension M × n in a precoding matrix codebook according to the rank indicator information and the precoding matrix indicator information comprises:

the transmitting terminal inquires all precoding matrixes with dimensions of M x n in the precoding matrix codebook according to the rank indication information;

and the transmitting terminal determines the target precoding matrix in the precoding matrixes with all dimensions of M x n according to the matrix index.

4. The method according to any of claims 1 to 3, wherein the transmitting end comprises a plurality of sets of precoding matrix codebooks; the method further comprises the following steps:

the transmitting terminal determines a target precoding matrix codebook in the sets of precoding matrix codebooks according to the configuration parameters of the transmitting terminal;

the transmitting terminal determines a target precoding matrix with dimension M x n in a precoding matrix codebook according to the rank indication information and the precoding matrix indication information, and the method comprises the following steps:

and the transmitting terminal determines a target precoding matrix with dimension M x n in the target precoding matrix codebook according to the rank indication information and the precoding matrix indication information.

5. The method of claim 4, wherein the configuration parameters comprise:

the number of horizontal beams, the number of vertical beams, the encryption multiple of the horizontal beams and the encryption multiple of the vertical beams corresponding to the transmitting end; and the configuration parameters are related to the number N of the radio frequency channels corresponding to the transmitting end.

6. A method for weighting a downlink signal, the method comprising:

a receiving end acquires channel state information of a downlink channel;

the receiving end determines a target precoding matrix with dimension M x n in a precoding matrix codebook according to the channel state information; the n is used for indicating the number of the optimal data streams transmitted by the transmitting terminal under the current downlink channel condition; the number of the radio frequency channels corresponding to the transmitting end is N; n is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N; the precoding matrix codebook is a set of precoding matrixes with dimension M & ltS > wherein M is a positive integer larger than N, and S is a positive integer;

the receiving end determines a matrix index according to the position of the target precoding matrix in the precoding matrix codebook;

the receiving end determines precoding matrix indication information according to the matrix index;

the receiving end sends the precoding matrix indication information to a transmitting end; and the transmitting terminal weights the downlink signals according to the precoding matrix indication information.

7. The method of claim 6, further comprising:

the receiving end determines the value of n;

the receiving terminal determines rank indication information according to the n and sends the rank indication information to the transmitting terminal; and the transmitting terminal weights the downlink signals according to the rank indication information.

8. A transmitting-end device, characterized in that the transmitting-end device comprises:

the device comprises an acquisition unit, a pre-coding unit and a processing unit, wherein the acquisition unit is used for acquiring rank indication information and pre-coding matrix indication information sent by a receiving end; the rank indication information is used for indicating the value of the rank of the precoding matrix to be n, wherein the n is used for indicating the number of the optimal data streams transmitted by the transmitting terminal equipment under the current downlink channel condition; the number of radio frequency channels corresponding to the transmitting terminal equipment is N; n is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N;

a determining unit, configured to determine, according to the rank indication information and the precoding matrix indication information, a target precoding matrix with a dimension of M × n in a precoding matrix codebook; wherein the precoding matrix codebook is a set of precoding matrices of dimension M S; m is a positive integer larger than N, and S is a positive integer;

the determining unit is further configured to determine a weighting matrix corresponding to the downlink signal according to the target precoding matrix, where a dimension of the weighting matrix is N × N;

the processing unit is used for weighting the downlink signals according to the weighting matrix;

9. The transmitting-end device according to claim 8, wherein the determining unit is specifically configured to determine a weight matrix according to the number N of radio frequency channels corresponding to the transmitting-end device; wherein the dimension of the weight matrix is N M; and performing matrix multiplication operation on the weight matrix and the target pre-coding matrix to obtain the weighting matrix.

10. The transmitting-end device according to any one of claims 8 to 9, wherein the precoding matrix indication information includes a matrix index;

the determining unit is specifically configured to query, according to the rank indication information, precoding matrices with all dimensions of M × n in the precoding matrix codebook; and determining the target precoding matrix in the precoding matrixes with all dimensions of M x n according to the matrix index.

11. The transmitting-end device according to any one of claims 8 to 10, wherein the transmitting-end device comprises a plurality of sets of precoding matrix codebooks;

the determining unit is further configured to determine a target precoding matrix codebook from the multiple sets of precoding matrix codebooks according to the configuration parameters of the transmitting end; and determining a target precoding matrix with the dimension of M x n in the target precoding matrix codebook according to the rank indication information and the precoding matrix indication information.

12. The transmitting-end device of claim 11, wherein the configuration parameters comprise:

13. A sink device, comprising:

an obtaining unit, configured to obtain channel state information of a downlink channel;

a determining unit, configured to determine, according to the channel state information, a target precoding matrix with a dimension of M × n in a precoding matrix codebook; the n is used for indicating the number of the optimal data streams transmitted by the transmitting terminal under the current downlink channel condition; the number of the radio frequency channels corresponding to the transmitting end is N; n is a positive integer greater than 0, and N is any positive integer greater than 0 and less than or equal to N; the precoding matrix codebook is a set of precoding matrixes with dimension M & ltS > wherein M is a positive integer larger than N, and S is a positive integer;

the determining unit is further configured to determine a matrix index according to a position of the target precoding matrix in the precoding matrix codebook;

the determining unit is further configured to determine precoding matrix indication information according to the matrix index;

a sending unit, configured to send the precoding matrix indication information to a sending end; and the transmitting terminal equipment weights the downlink signals according to the precoding matrix indication information.

14. The receiving end device of claim 13, wherein the determining unit is further configured to determine the value of n and determine rank indication information according to n;

the sending unit is further configured to send the rank indication information to the transmitting end device; and the transmitting terminal equipment weights the downlink signals according to the precoding matrix indication information.

15. A transmitting-end device, comprising a processor and a memory, the processor being coupled to the memory;

the memory is used for storing programs;

the processor configured to execute the program in the memory, so that the transmitting end device performs the method according to any one of claims 1 to 5.

16. A receiving end device comprising a processor and a memory, the processor coupled with the memory;

the memory is used for storing programs;

the processor configured to execute the program in the memory, so that the receiving end device executes the method according to any one of claims 6 to 7.

17. A computer-readable storage medium, characterized by comprising a program which, when run on a computer, causes the computer to perform the method of any one of claims 1 to 5, or causes the computer to perform the method of claim 6 or claim 7.