Information transmission methods, devices and storage medium

Abstract

Provided in the present application are information transmission methods, devices, and a storage medium. An information transmission method applied to a first communication device comprises: using a received reference signal for channel measurement, so as to obtain a first channel measurement result; converting the first channel measurement result according to a preprocessing mode, so as to obtain a second channel measurement result; performing quantization and feedback on channel information according to the second channel measurement result; and sending channel quantization and feedback indication information to a second communication device.

Description

Information transmission method, device and storage medium

[0001] Cross-references

[0002] This invention claims priority to the Chinese patent application filed with the Patent Office of China on November 30, 2023, with application number 202311637574.5 and invention name “Information Transmission Method, Device and Storage Medium”. The entire contents of this application are incorporated by reference into this invention. Technical Field

[0003] The present application relates to the field of communication technology, and in particular to an information transmission method, device and storage medium. Background Art

[0004] In wireless communications, as reference signal transmission strategies at the transmitter and feedback strategies at the receiver become increasingly diverse, the one-to-one mapping between reference signal transmission strategies and feedback strategies in existing systems is becoming increasingly inflexible. If different terminals adopt different feedback strategies based on their needs, they will need to send multiple different types of reference signals, resulting in wasted reference signal overhead, limiting overall system efficiency and becoming a bottleneck for future multi-antenna communications.

[0005] Summary of the Invention

[0006] In view of this, the embodiments of the present application provide an information transmission method, device, and storage medium, which effectively reduce signal transmission overhead and improve the transmission efficiency of a wireless communication system.

[0007] An embodiment of the present application provides an information transmission method, which is applied to a first communication device, including: using a received reference signal to perform channel measurement to obtain a first channel measurement result; transforming the first channel measurement result according to a preprocessing method to obtain a second channel measurement result; quantizing and feeding back channel information according to the second channel measurement result; and sending channel quantization feedback indication information to a second communication device.

[0008] An embodiment of the present application provides an information transmission method, which is applied to a second communication device, including: sending a reference signal to a first communication device, so that the first communication device performs channel measurement based on the reference signal to obtain a first channel measurement result; configuring a preprocessing method set corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to a preprocessing method in the preprocessing method set to obtain a second channel measurement result, and quantizes and feeds back channel information according to the second channel measurement result.

[0009] An embodiment of the present application provides an information transmission device, which is applied to a first communication device, including: a measurement module, configured to use a received reference signal to perform channel measurement to obtain a first channel measurement result; a transformation module, configured to transform the first channel measurement result according to a preprocessing method to obtain a second channel measurement result; a quantization feedback module, configured to quantize and feedback channel information according to the second channel measurement result; and a sending module, configured to send channel quantization feedback indication information to the second communication device.

[0010] An embodiment of the present application provides an information transmission device, which is applied to a second communication device, including: a sending module, configured to send a reference signal to a first communication device, so that the first communication device performs channel measurement based on the reference signal to obtain a first channel measurement result; a configuration module, configured to configure a preprocessing method set corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to a preprocessing method in the preprocessing method set to obtain a second channel measurement result, and quantizes and feeds back channel information according to the second channel measurement result.

[0011] An embodiment of the present application provides a communication device, comprising: a memory, and one or more processors; the memory is configured to store one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any of the above embodiments.

[0012] An embodiment of the present application provides a storage medium storing a computer program. When the computer program is executed by a processor, the method described in any one of the above embodiments is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] FIG1 is a schematic diagram of an implementation of a reference signal sending strategy and a corresponding feedback strategy provided by the prior art;

[0014] FIG2 is a schematic diagram of an extended implementation between a reference signal sending strategy and a corresponding feedback strategy provided in the prior art;

[0015] FIG3 is a flow chart of an information transmission method provided in an embodiment of the present application;

[0016] FIG4 is a flowchart of another information transmission method provided in an embodiment of the present application;

[0017] FIG5 is a schematic diagram of an implementation of transforming a first channel measurement result provided by an embodiment of the present application;

[0018] FIG6 is a flowchart of another information transmission method provided in an embodiment of the present application;

[0019] FIG7 is a schematic diagram of the results of Fourier transform and fractional Fourier transform of a non-stationary signal provided by an embodiment of the present application;

[0020] FIG8 is a schematic diagram of a discrete fractional Fourier transform preprocessing method provided by the present application;

[0021] FIG9 is a structural block diagram of an information transmission device provided in an embodiment of the present application;

[0022] FIG10 is a structural block diagram of another information transmission device provided in an embodiment of the present application;

[0023] FIG11 is a schematic structural diagram of a communication device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following describes the embodiments of the present application in conjunction with the accompanying drawings. The following describes the present application in conjunction with the accompanying drawings. The examples are only used to explain the present application and are not used to limit the scope of the present application.

[0025] At the physical layer, 5G defines several entities related to airspace resource usage, such as antenna ports, resources, resource sets, beams, transceiver nodes, and antenna panels, at varying levels of abstraction. This layer implicitly defines several reference signal transmission strategies and specifies corresponding channel information measurement and feedback strategies. In practice, the 5G protocol does not specify how measurement reference signals are transmitted, allowing for flexible network-side operations.

[0026] Figure 1 is a schematic diagram of a reference signal transmission strategy and corresponding feedback strategy provided by the prior art. As shown in Figure 1, existing measurement reference signals are divided into two major categories: precoded measurement reference signals and non-precoded measurement reference signals. Among them, non-precoded measurement reference signals generally refer to each reference signal port being mapped to an antenna array element entity, and different ports correspond to different antenna array element entities. Precoded measurement reference signals refer to each reference signal port being mapped to multiple antenna entities. The antenna array element entities corresponding to different ports can be the same, but the sampling precoding is different.

[0027] Non-precoded measurement reference signal port set P A The mapping relationship between the antenna array element S can be understood as a unit matrix I, P A =I*S, and the precoding measurement reference signal P B The mapping relationship between the antenna array element and the non-unit matrix D,P B= D * S. Various mapping relationships can be selected, corresponding to different D matrices, resulting in a wide range of precoded sounding reference signals. Currently, the common assumption in 5G is that precoded sounding reference signals in the same polarization direction are precoded using vectors in the Discrete Fourier Transform (DFT) matrix. D is a precoding matrix composed of a vector subset of the DFT matrix.

[0028] For non-precoded measurement reference signals, existing technologies use a matching DFT codebook for feedback. 5G NR defines Type I and Type II codebooks, corresponding to CSI feedback with different accuracies. Precoded measurement reference signals are further divided into two subtypes. One type uses port selection codebook feedback, while the other uses beam selection and beam index feedback. As can be seen, the most obvious problem with existing technologies is that the reference signal transmission strategy and feedback method are strongly bound together.

[0029] As technology evolves, the types of precoding reference signals may increase. Precoding is not limited to DFT vectors or constant modulus forms, and communication systems will want to flexibly support more precoding forms, such as basis vectors corresponding to fractional Fourier transforms (FRFTs).

[0030] Beam training is not limited to the simplest method of directly selecting from multiple beams. Some beam training methods based on compressed sensing hope to select beams not from any measured reference signal, but from beams defined on other precodings. For example, the defined beams are B1, B2, ..., BN, but the measurement reference signals use a combination of multiple beams rather than sending them individually. Therefore, it is impossible to directly select the best beam from B1, B2, ..., BN from the measured results.

[0031] Figure 2 is a schematic diagram of an expanded implementation of a reference signal transmission strategy and corresponding feedback strategy, as provided by the prior art. As shown in Figure 2, as the transmitter's reference signal transmission strategies and the receiver's feedback strategies become increasingly diverse, the one-to-one mapping of reference signal transmission strategies and feedback strategies in the existing system becomes increasingly inflexible. If different terminals use different feedback strategies based on their needs, they must transmit multiple different types of reference signals, resulting in wasted reference signal overhead, limiting overall system efficiency and becoming a bottleneck for future multi-antenna communications.

[0032] In view of this, an embodiment of the present application provides an information transmission method that can use a preprocessing method to transform the channel measurement results so that they can adapt to the optimal feedback strategy, thereby eliminating the need for the network side as the transmitter to send multiple different types of reference signals, avoiding the waste of reference signal overhead, and the strongly bound mapping relationship between the reference signal sending strategy and the feedback strategy, thereby improving the overall system efficiency.

[0033] In one embodiment, Figure 3 is a flowchart of an information transmission method provided by an embodiment of the present application. This embodiment is applicable to situations where it is difficult to uniformly design a reference signal transmission strategy and an information feedback strategy. This embodiment can be performed by a first communications device. For example, the first communications device can be a terminal, and the terminal can serve as a reference signal receiver; correspondingly, the second communications device can be a network, and the network can serve as a reference signal transmitter. As shown in Figure 3, this embodiment includes steps S110 to S140.

[0034] Step S110: Perform channel measurement using the received reference signal to obtain a first channel measurement result.

[0035] A reference signal, also known as a pilot signal, is a known signal provided by the network (transmitting end) to the terminal (receiving end) for channel estimation or channel sounding. In one embodiment, a second communication device (transmitting end) sends a reference signal to a first communication device (receiving end), so that the first communication device performs channel measurement based on the reference signal and obtains a first channel measurement result corresponding to the channel.

[0036] Step S120: transform the first channel measurement result according to the preprocessing method to obtain a second channel measurement result.

[0037] In one embodiment, the first communications device transforms the first channel measurement result using a preprocessing method so that the second channel measurement result obtained through the transformation can be adapted to an optimal feedback strategy. In one embodiment, the preprocessing method can be negotiated and agreed upon between the first communications device and the second communications device, configured by the second communications device through signaling, or selected by the first communications device itself.

[0038] Step S130: quantize and feed back channel information according to the second channel measurement result.

[0039] Step S140: Send channel quantization feedback indication information to the second communication device.

[0040] After the first communication device determines the channel information quantization method and feedback method adopted by itself, the first communication device sends channel quantization feedback indication information to the second communication device to indicate the channel information quantization method and feedback method adopted by the first communication device itself to the second communication device.

[0041] In one embodiment, the reference signal includes at least one of the following: a channel state information reference signal; and a synchronization signal.

[0042] In one embodiment, transforming the first channel measurement result according to a preprocessing method includes: receiving at least one preprocessing method configured by a second communication device, and transforming the first channel measurement result. The second communication device (as a transmitter) and the first communication device (as a receiver) may negotiate and agree on a set of preprocessing methods, and the second communication device may select at least one preprocessing method from the set of preprocessing methods and configure the at least one preprocessing method to the first communication device, so that the first communication device transforms the first channel measurement result using the at least one preprocessing method to obtain a corresponding second channel measurement result.

[0043] In one embodiment, transforming the first channel measurement result according to a preprocessing method includes: receiving a preprocessing method set configured by a second communication device or agreeing on a preprocessing method set with the second communication device; and selecting at least one preprocessing method from the preprocessing method set to transform the first channel measurement result. The first communication device, acting as a receiving end, may try each preprocessing method in the preprocessing method set and select an optimal preprocessing method to transform the first channel measurement result, thereby obtaining a corresponding second channel measurement result.

[0044] In one embodiment, the information transmission method applied to a first communication device further includes: feeding back preprocessing mode indication information to a second communication device, the preprocessing mode indication information being used to indicate a preprocessing mode selected by the first communication device from a set of preprocessing modes. If the first communication device selects an optimal preprocessing mode, the first communication device may send the preprocessing mode indication information to the second communication device, so that the second communication device is informed of the preprocessing mode selected by the first communication device through the preprocessing mode indication information.

[0045] In one embodiment, transforming the first channel measurement result according to a preprocessing method includes: inputting the first channel measurement result into a preprocessing function for transformation. In one example, the preprocessing method is inputting the first channel measurement result into the preprocessing function for transformation. The process of the first communications device transforming the first channel measurement result using the preprocessing method can be understood as the process of the first communications device inputting the first channel measurement result into the preprocessing function for transformation.

[0046] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes: using at least two preprocessing functions to transform the first channel measurement result. The first communications device may use multiple preprocessing functions to transform the first channel measurement result, obtaining corresponding multiple second channel measurement results, i.e., the number of second channel measurement results is equal to the number of preprocessing functions used by the first communications device. The first communications device uses the obtained multiple second channel measurement results to quantize and provide feedback on channel information, so that the second communications device can understand the transformation accuracy of different preprocessing functions through different second channel measurement results.

[0047] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes sequentially transforming the first channel measurement result using at least two preprocessing functions; wherein each transformation process includes using the transformation result of the first channel measurement result by a previous preprocessing function as input to a subsequent preprocessing function. The first communication device may sequentially transform the first channel measurement result using multiple preprocessing functions, i.e., the first communication device transforms the first channel measurement result using one preprocessing function and uses the transformation result as input to the next preprocessing function, and so on, until the first channel measurement result is transformed using multiple preprocessing functions, thereby obtaining a corresponding second channel measurement result.

[0048] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes: using at least one linear processing function and at least one nonlinear processing function to transform the first channel measurement result.

[0049] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes selecting at least one preprocessing function from a set of preprocessing functions to transform the first channel measurement result. The first communications device may select one or more preprocessing functions from the set of preprocessing functions to transform the first channel measurement result to obtain a corresponding second channel measurement result.

[0050] In one embodiment, the information transmission method applied to a first communication device further includes: feeding back preprocessing function indication information to a second communication device, where the preprocessing function indication information is used to indicate a preprocessing function selected by the first communication device from a set of preprocessing functions. When the first communication device selects one or more preprocessing functions from the set of preprocessing functions, the first communication device feeds back the preprocessing function indication information to the second communication device, so that the second communication device is aware of the preprocessing function selected by the first communication device from the set of preprocessing functions.

[0051] In one embodiment, the pre-processing function indication information is further used to indicate the order of discrete fractional Fourier transform.

[0052] In one embodiment, the first channel measurement result is transformed according to a preprocessing method, including: linearly processing the first channel measurement result and a transformation matrix in a transformation matrix set; wherein the transformation matrix is ​​used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0053] In one embodiment, the transformation matrix includes at least one of the following: a discrete Fourier transform matrix; a discrete fractional Fourier transform matrix.

[0054] In one embodiment, the transformation matrix set is configured in one of the following ways: by negotiation between the first communication device and the second communication device; or by configuration by the second communication device. In one example, the first communication device and the second communication device may negotiate and predetermine a transformation matrix set; or the second communication device may configure the transformation matrix set and send the transformation matrix set to the first communication device via signaling.

[0055] In one embodiment, the channel information includes at least one of the following: precoding information; beam selection information; layer number or rank information; measurement reference signal selection information; beam quality information; measurement reference signal resource or port selection information.

[0056] In one embodiment, the information transmission method applied to the first communication device further includes: receiving mode configuration signaling sent by the second communication device; and jointly determining a preprocessing mode, a quantization mode, and a feedback mode of the channel information based on the mode configuration signaling. The first communication device can jointly determine the preprocessing mode, a quantization mode, and a feedback mode of the channel information based on the mode configuration information. In one example, the second communication device can establish a mapping relationship between the preprocessing mode and the quantization mode and feedback mode of the channel information, and send the mapping relationship between the preprocessing mode and the quantization mode and feedback mode of the channel information to the first communication device via the mode configuration signaling. The first communication device can determine the quantization mode and feedback mode of the channel information based on the preprocessing mode and the mapping relationship.

[0057] In one embodiment, the preprocessing method in the preprocessing method set includes: a unitary transform processing method.

[0058] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted merging processing; and nonlinear modulo processing.

[0059] In one embodiment, the preprocessing methods in the preprocessing method set include: linear weighted merging processing and nonlinear modulo processing.

[0060] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; and inverse symplectic finite Fourier transform.

[0061] In one embodiment, Figure 4 is a flowchart of another information transmission method provided by an embodiment of the present application. This embodiment is applicable to situations where it is difficult to uniformly design a reference signal transmission strategy and an information feedback strategy. This embodiment can be executed by a second communication device. For example, the second communication device can be a network-side device, and the network-side device can serve as a transmitter of the reference signal; correspondingly, the first communication device can be a terminal-side device, and the terminal-side device can serve as a receiver of the reference signal.

[0062] As shown in FIG4 , this embodiment includes steps S210 to S220 .

[0063] Step S210: Send a reference signal to the first communication device, so that the first communication device performs channel measurement based on the reference signal to obtain a first channel measurement result.

[0064] Step S220: Configure a preprocessing mode set corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to the preprocessing mode in the preprocessing mode set to obtain a second channel measurement result, and quantizes and feeds back the channel information according to the second channel measurement result.

[0065] In one embodiment, the reference signal includes at least one of the following: a channel state information reference signal; and a synchronization signal.

[0066] In one embodiment, the information transmission method applied to the second communication device further includes:

[0067] A preprocessing mode set is sent to the first communication device, so that the first communication device selects at least one preprocessing mode from the preprocessing mode set to transform the first channel measurement result.

[0068] In one embodiment, the information transmission method applied to the second communication device further includes:

[0069] Preprocessing mode indication information fed back by a first communication device is received, where the preprocessing mode indication information is used to indicate a preprocessing mode selected by the first communication device from the preprocessing mode set.

[0070] In one embodiment, the preprocessing method in the preprocessing method set includes: a unitary transform processing method.

[0071] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted merging processing; and nonlinear modulo processing.

[0072] In one embodiment, the preprocessing methods in the preprocessing method set include: linear weighted merging processing and nonlinear modulo processing.

[0073] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; and inverse symplectic finite Fourier transform.

[0074] In one embodiment, transforming the first channel measurement result according to the preprocessing method includes:

[0075] Linear processing is performed on the first channel measurement result and a transformation matrix in the transformation matrix set; wherein the transformation matrix is ​​used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0076] In one embodiment, the transformation matrix includes at least one of the following: a discrete Fourier transform matrix; a discrete fractional Fourier transform matrix.

[0077] In one embodiment, the configuration of the transformation matrix set includes one of the following: negotiation between the first communication device and the second communication device; and configuration by the second communication device.

[0078] In one embodiment, the information transmission method applied to the second communication device further includes: sending a mode configuration signaling to the first communication device; wherein the mode configuration signaling is used to jointly configure the preprocessing mode, and the quantization mode and feedback mode of the channel information.

[0079] In one embodiment, the information transmission method applied to the second communication device further includes: receiving channel quantization feedback indication information sent by the first communication device.

[0080] In one embodiment, the channel information includes at least one of the following: precoding information; beam selection information; layer number or rank information; measurement reference signal selection information; beam quality information; measurement reference signal resource or port selection information.

[0081] It should be noted that for the explanation of parameters such as the reference signal, preprocessing method set, first channel measurement result, and second channel measurement result in the information transmission method applied to the second communication device, please refer to the description of the corresponding parameters in the above-mentioned information transmission method applied to the first communication device, and will not be repeated here.

[0082] In one embodiment, FIG5 is a schematic diagram of an implementation of transforming a first channel measurement result provided by an embodiment of the present application. Exemplarily, the reference signal may include, but is not limited to: a non-precoded pilot, precoding corresponding to a far-field or near-field single beam, and far-field or near-field multi-beam combined precoding; the quantization and feedback methods of the channel information include, but are not limited to: port selection codebook feedback 1, port selection codebook feedback 2, DFT codebook feedback, direct beam selection feedback, and indirect beam selection feedback. As shown in FIG5 , the first communication device as the receiving end transforms the first channel measurement result corresponding to the received pilot signal to obtain a second channel measurement result, and quantizes and feeds back the channel information according to the second channel measurement result.

[0083] In the first embodiment, the quantization and feedback process of channel information is described with the first communication device as the terminal and the second communication device as the network side (e.g., base station). FIG6 is a flowchart of another information transmission method provided by an embodiment of the present application. As shown in FIG6, the information transmission method includes the following steps:

[0084] Step 1: Receive a reference signal for channel measurement.

[0085] Step 2: Perform channel measurement using a reference signal to obtain a first channel measurement result.

[0086] Step 3: Perform transformation processing on the first channel measurement result to obtain a second channel measurement result.

[0087] Step 4: quantize and feed back the channel information according to the second channel measurement result.

[0088] The network sends reference signals for channel measurement. These signals typically include the Channel State Information Reference Signal (CSI-RS) and the Synchronizing Signal (SS). In some cases, the Demodulation Reference Signal (DMRS) can also be used for channel measurement.

[0089] The terminal measures the reference signal used for channel measurement and obtains a corresponding first channel measurement result. The first channel measurement result can be the channel response between the receiving antenna and the reference signal port. Since there may be multiple reference signal ports and one or more receiving antennas, the first channel measurement result can be represented by a channel matrix H. If H is a vector, it is also considered a matrix. It should be noted that using the channel matrix H to represent the first channel measurement result is a common method, but not the only method. Other similar methods can be considered as representations of the first channel measurement result.

[0090] After the terminal obtains the channel matrix H, there may be some problems in directly providing quantitative feedback on H. The main reason is that the H measured at this time is a representation of the channel between the physical antenna and the receiving antenna after it is virtualized into some measurement reference signal ports (also often referred to as antenna ports). In order to ensure flexibility during implementation to cope with various possible situations and scenarios, the base station equipment on the network side does not want to make very strict regulations on the virtualization of the above-mentioned physical antenna to the measurement reference signal port. However, for the terminal at this time, its various feedback methods are adapted to a certain measurement reference signal port virtualization method.

[0091] In theory, different users can use different measurement reference signal port virtualization methods and corresponding measurement feedback methods. However, due to the large number of users, the measurement reference signal overhead can become very large as the number of users increases and the flexibility of measurement reference signal port virtualization increases. Therefore, to enable a large number of users to share the same measurement reference signal and reduce reference signal overhead, it is necessary to solve the problem of adapting measurement reference signal port virtualization (precoding) and measurement feedback.

[0092] Here, a preprocessing method (also referred to as a receive preprocessing method) can be used to transform the first channel measurement result. The receive preprocessing method involves inputting the first channel measurement result into a receive preprocessing function (also referred to as a preprocessing function) for processing. The receive end preprocesses the first channel measurement result using either linear or nonlinear processing. Linear processing can involve unitary or non-unitary transformations; nonlinear processing typically involves modulo processing. The preprocessing method will be further described in detail in the following embodiments.

[0093] The preprocessing target is generally the first channel measurement result H. Some methods involve multiplying H by a transformation matrix R on the right to convert H into an HR before performing quantization feedback. In some cases, quantization feedback uses a codebook approach. For the preprocessed result HR, a codeword w that best matches HR is found from codebook B (a set of codewords), ensuring that w is optimally aligned with HR. This is equivalent to finding a w that optimizes HRw. As can be seen, multiplying H by the preprocessing matrix R on the right or on the left is equivalent to performing a preprocessing transformation on the entire codebook. Therefore, in some cases, these two methods are effectively equivalent.

[0094] Preprocessing can be agreed upon by the transceiver. Preferably, the transceiver agrees on a set of preprocessing methods. The base station selects a preprocessing method from this set and configures it for the terminal. The terminal can also try each preprocessing method in the set and select the optimal one to preprocess the first channel measurement result, then feed back the corresponding second channel measurement result to the base station.

[0095] The preprocessing method in the preprocessing method set may be performing a linear transformation on the first measurement result. The transformation type may include, but is not limited to, one or more of: "discrete Fourier transform," "inverse discrete Fourier transform," "discrete fractional Fourier transform," "inverse discrete fractional Fourier transform," and "linear weighted combining." The transformation type may also include, but is not limited to, discrete transformation forms of: "wavelet transform," "Wigner transform," "Hilbert transform," "Laplace transform," and "symplectic finite Fourier transform or its inverse transform."

[0096] The terminal uses the transformed second channel measurement result to quantize and feedback the channel information. The feedback methods may include beam selection and codebook feedback. The channel information includes precoding information, beam selection information, layer number or rank information, measurement reference signal selection information, beam quality information, measurement reference signal resource or port selection information, etc.

[0097] In the second embodiment, the quantization and feedback process of channel information is described with the first communication device as a terminal and the second communication device as a network side (eg, a base station).

[0098] This embodiment provides some typical pre-processing methods at the receiving end, including: Method 1, Method 2, Method 3, and Method 4.

[0099] Method 1: The network side, acting as the transmitter, sends a non-precoded reference signal, converts it to a DFT / FRFT beam, and then performs measurement feedback.

[0100] The non-precoded reference signal is a commonly used reference signal. By transmitting pilot signals at different physical antenna ports, the channel H between the receiving antenna and the transmitting antenna can be measured at the receiving end, that is, y = Hs + n (1)

[0101] Where H is the channel matrix, s is the reference signal, n is the noise term, and y is the reference signal vector received by the terminal. Because H is generally large in dimension, preprocessing is required at the terminal to obtain its sparse properties in a transform domain, thereby compressing the feedback overhead.

[0102] A feasible preprocessing method is to convert the channel H into the angle domain through discrete Fourier transform DFT, determine the optimal channel representation through the received power distribution in the angle domain, and provide feedback. Specifically, the terminal multiplies the preset discrete Fourier matrix with the measured reference signal vector y to obtain y'=yW (2)

[0103] y' can be understood as a representation of channel information in the transform domain. In this case, y' is sparse, thus compressing the feedback overhead of channel information. Generally, a codeword in a preset DFT codebook can be determined based on the index of one or more maximum points in y', and information indicating the codeword is fed back.

[0104] In some cases, the channel between the base station and the terminal has non-stationary characteristics in the spatial domain. For example, when the receiving end is located in the near field area of ​​the base station, the spatial channel has a chirp characteristic. If the measured channel is subjected to a traditional Fourier transform, a sparse channel representation cannot be obtained, and the feedback overhead cannot be effectively compressed. In this case, another feasible preprocessing method can be adopted, that is, a discrete fractional Fourier transform (DFrFT) is performed on the measured channel H. The p-order fractional Fourier transform (FrFT) of the function x(t) can be expressed as

[0105] The kernel function Kp of the transformation is defined as

[0106] Where n is an integer and α = pπ / 2. When p varies between 0 and 1, it is equivalent to observing x(t) from a perspective with an angle of ɑ with the time domain axis. When p = 1, it is the perspective of the traditional Fourier transform. Therefore, by changing the order p, the perspective of the observed channel can be changed, so that a suitable transform domain can be found to obtain a sparse representation of the channel information. According to the above FrFT form, the corresponding discrete transform form, namely DFrFT, can be obtained. Commonly used DFrFTs are divided into sampling type and eigendecomposition type, and one of them can be selected according to actual conditions. According to the form of DFrFT, a DFrFT transform matrix similar to the DFT matrix can be designed. By replacing W in formula (2) with this matrix, the received reference signal vector can be mapped to the fractional Fourier transform domain through terminal preprocessing, and the channel information representation in this transform domain can be obtained.

[0107] Figure 7 is a schematic diagram of the results of Fourier transform and fractional Fourier transform of a non-stationary signal provided by an embodiment of the present application. Among them, the left figure is a non-stationary signal, the middle figure is the result of Fourier transform of the non-stationary signal, and the right figure is the result of fractional Fourier transform of the non-stationary signal. As shown in the middle figure and the right figure in Figure 7, a signal with non-stationary characteristics cannot obtain a sparse representation in the Fourier transform domain, but after adopting the fractional Fourier transform, a good sparse characteristic is obtained. Therefore, when the channel between the transceiver arrays has a spatial non-stationary characteristic, the received reference signal can be pre-processed using DFrFT at the terminal to obtain the best sparse representation, and then fed back to the base station side.

[0108] It should be noted that since DFrFT introduces an additional ɑ parameter, the channel feedback information obtained by DFrFT can include information indicating the ɑ parameter. In a scenario based on codebook feedback, the codeword index in the preset codebook includes information indicating the ɑ parameter, and the base station can determine the corresponding codeword corresponding to the channel information obtained by DFrFT based on the feedback information from the terminal.

[0109] Method 2: The network side, acting as the transmitter, sends a DFT beam, converts it to an FRFT beam, and then performs measurement feedback.

[0110] Due to the power limit of non-precoded pilot transmission, when the distance between the base station and the user is far or the noise level is high, there may be a problem of low signal-to-noise ratio affecting channel estimation. In this case, it is possible to consider using a reference signal with precoding for channel estimation and feedback. One way is to use a set of DFT precoding w1, w2, ..., wr, where wi is a column vector of length Nt, i = 1, 2, ..., r, then the receiving end can receive a receive vector of length r, y = HW DFT s+n (5)

[0111] In the above formula, H is the transceiver channel, W DFT =[w1, w2, ..., wr], s is the reference signal, n is the noise term. DFT The i-th column vector can be expressed as the Kronecker product of two basis vectors in, represents the Kronecker product operator, u i1 and u i2 satisfy

[0112] The received y vector may be pre-processed and then channel information may be obtained for feedback.

[0113] A feasible preprocessing method is to perform fractional Fourier transform to convert the received beam into FrFT beam, that is, in, is the inverse of the DFT matrix, when W DFT When it is not a square, Can be the generalized inverse matrix, W FrFT For the FrFT transformation matrix, the kth column vector of a feasible FrFT transformation matrix can be constructed by the Kronecker product of two basis vectors uk1 and uk2. The basis vectors uk1 and uk2 have the following form:

[0114] in, ξ kl ,η kl ,ζ kl is a preset real-valued constant, j is an imaginary unit, l∈[1,2], 1≤n≤N kl , N k1 *N k2 =N k .W FrFT It can also be designed by the discrete format of the kernel function of the fractional Fourier transform, and approximations of different orders can be used in the design.

[0115] In the above scheme, the FrFT transform can achieve a sparse representation of the channel information. Therefore, this preprocessing method can be used to extract the channel information from the received vector and perform compressed feedback. Figure 8 is a schematic diagram of a discrete fractional Fourier transform preprocessing provided by the present application. As shown in Figure 8, in some cases, the y vector received by the terminal is not sparse in the spatial domain (the curve distributed along ω in the figure). After performing a discrete FrFT transform on it, the y' obtained is a sparse representation in the fractional Fourier transform domain at an angle ɑ (the curve distributed along the u axis in the figure).

[0116] Method 3: The network side as the transmitter sends FRFT beams, converts to DFT beams and then performs measurement feedback

[0117] In some communication scenarios, the base station can use precoding defined by the fractional Fourier transform basis vector for signal transmission. When transmitted as a reference signal, a set of FrFT beams can be obtained. Compared with the far-field beams generated by traditional DFT precoding, FrFT beams have better spatial focusing performance, and thus can obtain better receiving gain in some communication environments. Similarly, after the base station transmits a set of reference signals in the form of FrFT beams, the receiver can obtain a receiving vector y, that is, y = HW FrFT s+n (8)

[0118] Among them, W FrFT is the FrFT precoding matrix, s is the reference signal, and n is the noise term. The receiver can choose to perform DFT preprocessing on the received reference signal vector and convert the FrFT beam into a DFT beam, that is,

[0119] Among them, W DFT is the Fourier transform matrix. In some communication scenarios, the above preprocessing can reduce the estimation complexity and feedback overhead without affecting the accuracy of channel estimation.

[0120] Mode 4: The network side, acting as the receiving end, sends a DFT beam, converts it into a non-precoded reference signal of unit array I, and then performs measurement feedback;

[0121] In some cases, the base station side can transmit a set of reference signals in the form of DFT beams. After the receiving end receives the reference signal vector, it can perform another type of preprocessing on the reference signal vector, namely

[0122] Where I is the diagonal identity matrix. The preprocessing described above transforms the received vector into a non-precoded reference signal. Measurement and channel estimation can be performed in this transform domain, and feedback can then be provided. Compared to the aforementioned centralized preprocessing, this solution has lower computational complexity.

[0123] It should be noted that the base station described in the above embodiments may be a single base station, or multiple base stations may collaborate to form a virtual base station.

[0124] In the above embodiment, the terminal can receive a set of reference signals transmitted by the base station, that is, the receiving vector y. In the measurement feedback scheme proposed in this application, a preprocessing operation can be performed on the receiving vector y before feedback. This preprocessing operation can be a preset function or a transformation matrix, that is, y'=yW, where W is the preset transformation matrix. Different preset matrices can be used for preprocessing according to different communication scenarios, for example, W=W DFT 、 W=W FrFT 、 wait.

[0125] In the third embodiment, the quantization and feedback process of channel information is described by taking the first communication device as a terminal and the second communication device as a network side (eg, a base station).

[0126] The terminal determines multiple pre-processing matrices to process the first channel measurement results respectively.

[0127] The receiving preprocessing method is to multiply the first channel measurement result by multiple transformation matrices in the transformation matrix set.

[0128] The transformation matrix is ​​used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0129] In some communication application scenarios, due to signaling overhead considerations, the base station side does not inform the terminal side of the type of reference signal it transmits when transmitting the reference signal, such as a non-precoded pilot signal or a precoded pilot signal. At this time, the terminal needs to select a preprocessing method subset from a preset set of preprocessing methods, preprocess the first channel measurement result corresponding to the received reference signal, and feedback to the base station based on the second channel measurement result.

[0130] In a communication scenario, the terminal side presets DFT and DFrFT transforms as a preset preprocessing method set. After receiving the reference signal, the terminal selects DFT and DFrFT to preprocess the received vector respectively, and feeds back the second channel measurement result obtained based on the preprocessing. Generally speaking, different preprocessing methods can be used to obtain channel information with different sparsity. Therefore, appropriate channel characterization parameters can be determined and fed back based on the sparsity of the channel information in the transform domain obtained by multiple preprocessing methods. The DFT preprocessing and DFrFT preprocessing here can be multiplying the received vector by the DFT transform matrix or the DFrFT transform matrix.

[0131] In one embodiment, the DFrFT transform has one more dimension than the DFT transform. Therefore, when using DFrFT preprocessing, the DFrFT transform matrix may actually include a set of transform matrices determined by the kernel function of the FrFT transform. The DFrFT preprocessing needs to test the sparsity of the channel after the transform matrix is ​​multiplied by the received vector, and then determine the appropriate channel characterization parameters and provide feedback. Since the base station side and the terminal side do not agree on the type of reference signal, the terminal preprocessing method is generally not agreed upon. Therefore, the terminal needs to include preprocessing method indication information when providing feedback, so that the base station side can recover the required channel state information and select the appropriate downlink signal precoding based on the feedback preprocessing method indication information.

[0132] As shown in the kernel function form of formula (4), the set of FrFT transform matrices is related to the parameter ɑ. Therefore, when using DFrFT for preprocessing, the channel characterization parameters obtained should include the parameter ɑ. Therefore, the terminal also needs to include information indicating the parameter ɑ when providing feedback. Since the parameter ɑ is related to the order p of the fractional Fourier transform, ɑ can also be determined by the parameter p. Therefore, the feedback information can also include information indicating the order p instead of the parameter ɑ.

[0133] The difference between this embodiment and the above-mentioned second embodiment is that the sender and receiver do not agree in advance on the reference signal type and preprocessing method. Therefore, the terminal adds a preprocessing method selection process in the preprocessing process. It is necessary to screen out a suitable preprocessing method from a preset set of preprocessing methods, and then use the preprocessing method to transform the first channel measurement result to obtain the corresponding second channel measurement result. Then, channel information is quantized and fed back according to the second channel measurement result.

[0134] In this embodiment, the orthogonal basis corresponding to the alphas of multiple FRFTs (the transformation matrix is ​​a discrete Fourier transform matrix or a discrete fractional Fourier transform matrix).

[0135] The terminal selects a preprocessing function from the preprocessing function set, and uses the selected preprocessing function to transform the first channel measurement result to obtain the corresponding second channel measurement result, then quantizes and feeds back the channel information according to the second channel measurement result, and feeds back the preprocessing stream function indication information used to indicate the selected preprocessing function to the network side.

[0136] The pre-processing function indication information is also used to indicate the order of discrete fractional Fourier transform.

[0137] In the fourth embodiment, in some communication scenarios, the terminal side needs to select a preprocessing function subset from a group of preprocessing functions, and use the preprocessing functions in the preprocessing function subset to preprocess and quantize the received reference signal for feedback.

[0138] This embodiment provides a preprocessing method (e.g., hash beam training) employed by a receiving end when the transmission beam of a measurement reference signal and the feedback beam are different. In this case, the preprocessing method set includes "linear weighted combining and nonlinear modulo processing." The terminal determines multiple preprocessing functions to process the first channel measurement result, where the preprocessing functions include at least one linear processing function and one nonlinear processing function.

[0139] The terminal determines multiple pre-processing functions to process the first channel measurement result in sequence, where one processing refers to using the processing result of a previous function as input of a subsequent function to obtain a corresponding result.

[0140] Method 1: first perform nonlinear modulo processing and then perform linear weighted merging.

[0141] In a communication scenario, the terminal side receives multiple reference signals sent by the base station side. For each reference signal sent by the base station, the terminal side first performs a modulo operation and then performs a weighted summation. For example, when the base station side transmits the mth reference signal, the terminal side receives a signal of y m =HW m s+n m (11)

[0142] Among them, W m is precoding, s is the reference signal, and n is the noise term. The terminal takes the modulus for each received reference signal and then selects a set of weighting coefficients Ai={a i1 ,a i2 ,...,a iN}, and finally perform weighted summation on the modulus values ​​of each received reference signal, i.e.

[0143] The modulo operation can also be replaced by the square of the modulus value, that is,

[0144] The weighting coefficient set A may be a preset weighting coefficient matrix. In some scenarios, the sum of each set of weighting coefficients in A is 1; in other scenarios, each set of weighting coefficients in A includes two values: 0 and 1, and includes at least one 0 and one 1; in still other scenarios, each set of weighting coefficients in A includes three values: -1, 0, and 1, and includes at least one 0, one 1, and one -1.

[0145] After preprocessing the received reference signal according to formula (11) or (12), the terminal can obtain a set of weighted sum values, and finally determine the channel characterization parameters based on this set of weighted sum results. For example, the channel characterization parameters can be determined based on one or more maximum values ​​in the weighted sum results and quantized feedback can be performed.

[0146] It should be noted that, since the characterization of the above-mentioned channel depends on the selection of the weighting coefficient, the indication information fed back should include indication information of the weighting coefficients corresponding to the multiple maximum values.

[0147] Method 2: first perform linear weighted merging, then perform nonlinear modulo processing.

[0148] In another communication scenario, the terminal performs linear weighted combination on the received reference signal lines and then performs a modulo operation, that is,

[0149] or,

[0150] Among them, y m is the mth reference signal received by the terminal side, a im is the mth weight value in the i-th group of weight coefficients in the preset weight coefficient matrix. In some application scenarios, each element in the weight coefficient matrix can be 0 or 1; in other scenarios, each group of weight coefficients in the weight coefficient matrix contains two values ​​of 0 and 1, and at least one 0 and one 1; in other scenarios, each group of weight coefficients in the weight coefficient matrix contains three values ​​of -1, 0, and 1, and at least one 0, one 1, and one -1; in some other scenarios, each element of the weight coefficient matrix is ​​a unit complex vector, for example, the mth coefficient in the i-th group of weight coefficients can be expressed as Among them, α im is the preset modulus value, θ im is the preset phase.

[0151] Similarly, the terminal may determine a characterization parameter of the channel information according to the weighted summation result after preprocessing, and feed back indication information of the characterization parameter to the base station side.

[0152] In the above preprocessing method, the terminal can process the received reference signal in multiple steps, and the processing result of the previous step is the input of the next step. In addition, the above preprocessing method includes at least one linear processing function and a nonlinear processing function.

[0153] In the sixth embodiment, in order to compress the pilot overhead, the base station side generally chooses to send a limited number of reference signals, such as selecting a reference signal beam with the same dimension as the base station antenna array. The terminal side can perform an oversampling operation on the received pilot signal through a preprocessing operation, thereby obtaining more precise channel state information and providing feedback.

[0154] Specifically, the base station sends N1 reference signals to the terminal, where the i-th reference signal is transmitted by the i-th beam, and the precoding corresponding to the beam is W i , then the reference signal vector received by the terminal can be expressed as y = HWs + n (16)

[0155] Where y=[y1,y2,...,y N1 ],W=[W1,W2,...,W N1 ], s is the reference signal, and n is the noise term. The terminal side can perform the following preprocessing on the received vector, y'=yW -1 W o (17)

[0156] Among them, W -1 is the inverse matrix or generalized inverse matrix of W, W o is an oversampling transformation matrix containing N2 column vectors, where N2 is greater than N1. In some cases, N2 = 2*N1, N2 = 4*N1, or N2 = 8*N1 can be preset. The specific value can be determined based on the application scenario or configured by the base station through configuration signaling for the terminal.

[0157] After adopting the preprocessing method shown in formula (17), the terminal can change the dimension of the received reference signal from N1 to N2, implementing an oversampling operation and obtaining more refined channel state information. W and Wo can be constructed from basis functions with a specific form, such as the Kronecker product of basis vectors shown in formula (6) or (7), or from the discrete form of other orthogonal basis functions or orthogonal basis vectors.

[0158] In one embodiment, Figure 9 is a block diagram of an information transmission apparatus provided in an embodiment of the present application. This embodiment is applied to a first communication device. As shown in Figure 9, the information transmission apparatus in this embodiment includes a measurement module 310, a transformation module 320, a quantization feedback module 330, and a transmission module 340.

[0159] The measurement module 310 is configured to perform channel measurement using the received reference signal to obtain a first channel measurement result; the transformation module 320 is configured to transform the first channel measurement result according to a preprocessing method to obtain a second channel measurement result; the quantization feedback module 330 is configured to quantize and feedback channel information according to the second channel measurement result; and the sending module 340 is configured to send channel quantization feedback indication information to the second communication device.

[0160] In one embodiment, the reference signal includes at least one of the following: a channel state information reference signal; and a synchronization signal.

[0161] In one embodiment, the first channel measurement result is transformed according to a preprocessing method, and the configuration includes: receiving at least one preprocessing method configured by the second communication device, and transforming the first channel measurement result.

[0162] In one embodiment, transforming the first channel measurement result according to a preprocessing method includes: receiving a preprocessing method set configured by the second communication device or agreeing on a preprocessing method set with the second communication device; selecting at least one preprocessing method from the preprocessing method set to transform the first channel measurement result.

[0163] In one embodiment, the information transmission device applied to the first communication device further includes: a feedback module configured to feedback preprocessing mode indication information to the second communication device, where the preprocessing mode indication information is used to indicate the preprocessing mode selected by the first communication device from the preprocessing mode set.

[0164] In one embodiment, transforming the first channel measurement result in a preprocessing manner includes: inputting the first channel measurement result into a preprocessing function for transformation.

[0165] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes: using at least two preprocessing functions to transform the first channel measurement result respectively.

[0166] In one embodiment, the first channel measurement result is input into a preprocessing function for transformation, including: using at least two preprocessing functions to transform the first channel measurement result in sequence; wherein, one transformation process includes: using the transformation result of the first channel measurement result by the previous preprocessing function as the input of the next preprocessing function.

[0167] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes: using at least one linear processing function and at least one nonlinear processing function to transform the first channel measurement result.

[0168] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes: selecting at least one preprocessing function from a preprocessing function set to transform the first channel measurement result.

[0169] In one embodiment, the information transmission apparatus applied to the first communication device further includes:

[0170] The feedback module is further configured to feed back pre-processing function indication information to the second communication device, where the pre-processing function indication information is used to indicate the pre-processing function selected by the first communication device from the pre-processing function set.

[0171] In one embodiment, the pre-processing function indication information is further used to indicate the order of discrete fractional Fourier transform.

[0172] In one embodiment, the first channel measurement result is transformed according to a preprocessing method, including: linearly processing the first channel measurement result and a transformation matrix in a transformation matrix set; wherein the transformation matrix is ​​used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0173] In one embodiment, the transformation matrix includes at least one of the following: a discrete Fourier transform matrix; a discrete fractional Fourier transform matrix.

[0174] In one embodiment, the transformation matrix set is configured in one of the following ways: by negotiation between the first communication device and the second communication device; or by configuration by the second communication device. In one example, the first communication device and the second communication device may negotiate and predetermine a transformation matrix set; or the second communication device may configure the transformation matrix set and send the transformation matrix set to the first communication device via signaling.

[0175] In one embodiment, the channel information includes at least one of the following: precoding information; beam selection information; layer number or rank information; measurement reference signal selection information; beam quality information; measurement reference signal resource or port selection information.

[0176] In one embodiment, the information transmission apparatus applied to the first communication device further includes:

[0177] The receiving module is configured to receive mode configuration signaling sent by the second communication device and jointly determine a preprocessing mode, a quantization mode, and a feedback mode for channel information based on the mode configuration signaling. The first communication device can jointly determine the preprocessing mode, the quantization mode, and the feedback mode for channel information based on the mode configuration signaling.

[0178] In one embodiment, the preprocessing method in the preprocessing method set includes: a unitary transform processing method.

[0179] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted merging processing; and nonlinear modulo processing.

[0180] In one embodiment, the preprocessing methods in the preprocessing method set include: linear weighted merging processing and nonlinear modulo processing.

[0181] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; and inverse symplectic finite Fourier transform.

[0182] The information transmission device provided in this embodiment is configured to implement the information transmission method applied to the first communication device in the embodiment shown in FIG3 . The implementation principle and technical effects of the information transmission device provided in this embodiment are similar and will not be described in detail here.

[0183] In one embodiment, FIG10 is a block diagram of another information transmission apparatus provided in an embodiment of the present application. This embodiment is applied to a second communication device. As shown in FIG10 , the information transmission apparatus in this embodiment includes: a sending module 410 and a configuration module 420.

[0184] The sending module 410 is configured to send a reference signal to the first communication device, so that the first communication device performs channel measurement based on the reference signal to obtain a first channel measurement result; the configuration module 420 is configured to configure a preprocessing method set corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to the preprocessing method in the preprocessing method set to obtain a second channel measurement result, and quantizes and feeds back the channel information according to the second channel measurement result.

[0185] In one embodiment, the reference signal includes at least one of the following: a channel state information reference signal; and a synchronization signal.

[0186] In one embodiment, the information transmission device applied to the second communication device further includes: a sending module 410, which is also configured to send a preprocessing method set to the first communication device, so that the first communication device selects at least one preprocessing method from the preprocessing method set to transform the first channel measurement result.

[0187] In one embodiment, the information transmission apparatus applied to the second communication device further includes:

[0188] The receiving module is configured to receive preprocessing mode indication information fed back by the first communication device, where the preprocessing mode indication information is used to indicate the preprocessing mode selected by the first communication device from the preprocessing mode set.

[0189] In one embodiment, the preprocessing method in the preprocessing method set includes: a unitary transform processing method.

[0190] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted merging processing; and nonlinear modulo processing.

[0191] In one embodiment, the preprocessing methods in the preprocessing method set include: linear weighted merging processing and nonlinear modulo processing.

[0192] In one embodiment, the transformation type for transforming the first channel measurement result includes at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; and inverse symplectic finite Fourier transform.

[0193] In one embodiment, transforming the first channel measurement result in a preprocessing manner includes: linearly processing the first channel measurement result and a transformation matrix in a transformation matrix set; wherein the transformation matrix is ​​used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0194] In one embodiment, the transformation matrix includes at least one of the following: a discrete Fourier transform matrix; a discrete fractional Fourier transform matrix.

[0195] In one embodiment, the configuration of the transformation matrix set includes one of the following: negotiation between the first communication device and the second communication device; and configuration by the second communication device.

[0196] In one embodiment, the information transmission device applied to the second communication device further includes: a sending module 410, which is also configured to send a mode configuration signaling to the first communication device; wherein the mode configuration signaling is used to jointly configure the preprocessing mode, as well as the quantization mode and feedback mode of the channel information.

[0197] In one embodiment, the information transmission apparatus applied to the second communication device further includes: a receiving module, further configured to receive channel quantization feedback indication information sent by the first communication device.

[0198] In one embodiment, the channel information includes at least one of the following: precoding information; beam selection information; layer number or rank information; measurement reference signal selection information; beam quality information; measurement reference signal resource or port selection information.

[0199] The information transmission device provided in this embodiment is configured to implement the information transmission method applied to the second communication device in the embodiment shown in FIG4 . The implementation principle and technical effects of the information transmission device provided in this embodiment are similar and will not be described in detail here.

[0200] In one embodiment, Figure 11 is a schematic diagram of the structure of a communication device provided in an embodiment of the present application. As shown in Figure 11, the device provided in the present application includes: a processor 510, a memory 520, and a communication module 530. The number of processors 510 in the device can be one or more, and Figure 11 uses one processor 510 as an example. The number of memories 520 in the device can be one or more, and Figure 11 uses one memory 520 as an example. The processor 510, memory 520, and communication module 530 of the device can be connected via a bus or other means, and Figure 11 uses a bus connection as an example. In this embodiment, the device can be a first communication device or a second communication device.

[0201] The memory 520, as a computer-readable storage medium, can be configured to store software programs, computer executable programs, and modules, such as program instructions / modules corresponding to the device of any embodiment of the present application (for example, the measurement module 310, the transformation module 320, and the quantization feedback module 330 in the information transmission device applied to the first communication device). The memory 520 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and applications required for at least one function; the data storage area may store data created according to the use of the device, etc. In addition, the memory 520 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 520 may further include a memory remotely located relative to the processor 510, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0202] In the case where the communication device is a first communication device, the device provided above can be configured to execute the information transmission method applied to the first communication device provided in any of the above embodiments, and have corresponding functions and effects.

[0203] In the case where the communication device is a second communication device, the device provided above can be configured to execute the information transmission method applied to the second communication device provided in any of the above embodiments, and have corresponding functions and effects.

[0204] An embodiment of the present application also provides a storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a computer processor, they are used to execute an information transmission method applied to a first communication device. The method includes: using a received reference signal to perform channel measurement to obtain a first channel measurement result; transforming the first channel measurement result according to a preprocessing method to obtain a second channel measurement result; and quantizing and feeding back channel information according to the second channel measurement result.

[0205] An embodiment of the present application also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform an information transmission method applied to a second communication device. The method includes: sending a reference signal to a first communication device, so that the first communication device performs channel measurement based on the reference signal to obtain a first channel measurement result; configuring a preprocessing method set corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to a preprocessing method in the preprocessing method set to obtain a second channel measurement result, and quantizes and feeds back channel information according to the second channel measurement result.

[0206] It will be appreciated by those skilled in the art that the term user equipment encompasses any suitable type of wireless user equipment, such as a mobile phone, a portable data processing device, a portable web browser or a car-mounted mobile station.

[0207] In general, various embodiments of the present application may be implemented in hardware or dedicated circuits, software, logic, or any combination thereof. For example, some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that can be executed by a controller, microprocessor, or other computing device, although the present application is not limited thereto.

[0208] Embodiments of the present application may be implemented by executing computer program instructions by a data processor of a mobile device, for example, in a processor entity, or by hardware, or by a combination of software and hardware. The computer program instructions may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages.

[0209] The block diagram of any logical flow in the drawings of the present application may represent program steps, or may represent interconnected logical circuits, modules and functions, or may represent a combination of program steps and logical circuits, modules and functions. A computer program may be stored on a memory. The memory may be of any type suitable for the local technical environment and may be implemented using any suitable data storage technology, such as, but not limited to, a read-only memory (ROM), a random access memory (RAM), an optical storage device and system (a digital versatile disc (DVD) or a compact disk (CD)). Computer-readable media may include non-transient storage media. A data processor may be of any type suitable for the local technical environment, such as, but not limited to, a general-purpose computer, a special-purpose computer, a microprocessor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), and a processor based on a multi-core processor architecture.

[0210] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Those skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A method for transmitting information, wherein: Applied to a first communication device, comprising: Performing channel measurement using the received reference signal to obtain a first channel measurement result; Transform the first channel measurement result according to a preprocessing method to obtain a second channel measurement result; quantizing and feeding back channel information according to the second channel measurement result; Channel quantization feedback indication information is sent to the second communication device.

2. The method according to claim 1, wherein: The transforming the first channel measurement result in a preprocessing manner includes: At least one preprocessing mode configured by the second communication device is received, and the first channel measurement result is transformed.

3. The method according to claim 1, wherein: The transforming the first channel measurement result in a preprocessing manner includes: Receiving a preprocessing mode set configured by the second communication device or agreeing on a preprocessing mode set with the second communication device; At least one preprocessing method is selected from the preprocessing method set to transform the first channel measurement result.

4. The method according to claim 3, wherein: The method further comprises: Preprocessing mode indication information is fed back to the second communication device, where the preprocessing mode indication information is used to indicate the preprocessing mode selected by the first communication device from the preprocessing mode set.

5. The method according to claim 1, wherein: The transforming the first channel measurement result in a preprocessing manner includes: The first channel measurement result is input into a preprocessing function for transformation.

6. The method according to claim 5, wherein: The step of inputting the first channel measurement result into a preprocessing function for transformation includes: At least two preprocessing functions are used to transform the first channel measurement results respectively.

7. The method according to claim 5, wherein: The step of inputting the first channel measurement result into a preprocessing function for transformation includes: At least two preprocessing functions are used to transform the first channel measurement result in sequence; wherein one transformation process includes: using the transformation result of the first channel measurement result by the previous preprocessing function as the input of the next preprocessing function.

8. The method according to claim 5, wherein: The step of inputting the first channel measurement result into a preprocessing function for transformation includes: The first channel measurement result is transformed using at least one linear processing function and at least one non-linear processing function.

9. The method according to claim 5, wherein: The step of inputting the first channel measurement result into a preprocessing function for transformation includes: At least one preprocessing function is selected from a preprocessing function set to transform the first channel measurement result.

10. The method according to claim 9, wherein: The method further comprises: Feedback preprocessing function indication information to the second communication device, where the preprocessing function indication information is used to indicate a preprocessing function selected by the first communication device from the preprocessing function set.

11. The method according to claim 9, wherein: The preprocessing function indication information is also used to indicate the order of discrete fractional Fourier transform.

12. The method according to claim 1, wherein: The transforming the first channel measurement result in a preprocessing manner includes: The first channel measurement result is linearly processed with a transformation matrix in a transformation matrix set; wherein the transformation matrix is ​​used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

13. The method according to claim 12, wherein: The transformation matrix includes at least one of the following: a discrete Fourier transformation matrix; a discrete fractional Fourier transformation matrix.

14. The method according to claim 1, wherein: The channel information includes at least one of the following: precoding information; beam selection information; information on the number of layers or rank; measurement reference signal selection information; beam quality information; and measurement reference signal resource or port selection information.

15. The method according to claim 1, wherein: The method further comprises: Receiving mode configuration signaling sent by a second communication device; The preprocessing mode, the quantization mode and the feedback mode of the channel information are jointly determined by configuring the signaling according to the mode.

16. A method for transmitting information, wherein: Applied to a second communication device, comprising: Sending a reference signal to a first communication device, so that the first communication device performs channel measurement based on the reference signal to obtain a first channel measurement result; Configure a preprocessing method set corresponding to the first channel measurement result so that the first communication device transforms the first channel measurement result according to a preprocessing method in the preprocessing method set to obtain a second channel measurement result, and quantizes and feeds back channel information according to the second channel measurement result.

17. The method according to claim 16, wherein: The preprocessing methods in the preprocessing method set include: a unitary transformation processing method.

18. The method according to claim 16, wherein: The transformation type for transforming the first channel measurement result includes at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted merging processing; nonlinear modulo processing.

19. The method according to claim 16, wherein: The preprocessing methods in the preprocessing method set include: linear weighted merging processing and nonlinear modulo processing.

20. The method according to claim 16, wherein: The type of transformation performed on the first channel measurement result includes at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; and symplectic finite inverse Fourier transform.

21. The method according to claim 16, wherein: The transforming the first channel measurement result in a preprocessing manner includes: The first channel measurement result is linearly processed with a transformation matrix in a transformation matrix set; wherein the transformation matrix is ​​used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

22. The method according to claim 20, wherein: The configuration manner of the transformation matrix set includes one of the following: negotiation between the first communication device and the second communication device; configuration by the second communication device.

23. The method according to claim 16, wherein: The method further comprises: Sending a mode configuration signaling to the first communication device; wherein the mode configuration signaling is used to jointly configure the preprocessing mode, and the quantization mode and feedback mode of the channel information.

24. The method according to claim 16, wherein: The method further comprises: Receive channel quantization feedback indication information sent by the first communication device.

25. The method of claim 16, wherein: The channel information includes at least one of the following: precoding information; beam selection information; information on the number of layers or rank; measurement reference signal selection information; beam quality information; and measurement reference signal resource or port selection information.

26. A communication device, wherein: include: memory, and one or more processors; The memory is configured to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-15 or 16-25.

27. A storage medium, wherein: The storage medium stores a computer program, and when the computer program is executed by a processor, the method as described in any one of claims 1 to 15 or 16 to 25 is implemented.

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