Information transmission method and device and storage medium

Abstract

The invention provides an information transmission method and device and a storage medium. The information transmission method applied to first communication equipment comprises the following steps: performing channel measurement by adopting a received reference signal to obtain a first channel measurement result; converting the first channel measurement result according to a preprocessing mode to obtain a second channel measurement result; quantizing and feeding back channel information according to the second channel measurement result; and sending the channel quantization feedback indication information to the second communication equipment.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and in particular, to an information transmission method, device, and storage medium. Background Art

[0002] In wireless communication, as the reference signal transmission strategy at the transmitting end and the feedback strategy at the receiving end become increasingly rich. In the existing system, the one-to-one mapping of the reference signal transmission strategy and the feedback strategy becomes less and less flexible. If different terminals adopt different feedback strategies according to their own needs, they need to send multiple different types of reference signals, resulting in waste of reference signal overhead, restricting the overall system efficiency, and becoming a bottleneck problem for future multi-antenna communication. Summary of the Invention

[0003] In view of this, embodiments of this application provide an information transmission method, device, and storage medium, which effectively reduce the signal transmission overhead and improve the transmission efficiency of the wireless communication system.

[0004] An embodiment of this application provides an information transmission method, applied to a first communication device, including:

[0005] Performing channel measurement using the received reference signal to obtain a first channel measurement result;

[0006] Transforming the first channel measurement result according to a preprocessing method to obtain a second channel measurement result;

[0007] Quantizing and feeding back channel information according to the second channel measurement result;

[0008] Sending channel quantization feedback indication information to a second communication device.

[0009] An embodiment of this application provides an information transmission method, applied to a second communication device, including:

[0010] 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;

[0011] Configuring a set of preprocessing methods 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 set of preprocessing methods to obtain a second channel measurement result, and quantizes and feeds back channel information according to the second channel measurement result.

[0012] An embodiment of this application provides an information transmission device, applied to a first communication device, including:

[0013] A measurement module, configured to perform channel measurement by using the received reference signal to obtain a first channel measurement result;

[0014] A transformation module, configured to transform the first channel measurement result according to a preprocessing method to obtain a second channel measurement result;

[0015] A quantization feedback module, configured to perform quantization and feedback of channel information according to the second channel measurement result;

[0016] A sending module, configured to send channel quantization feedback indication information to a second communication device.

[0017] An embodiment of the present application provides an information transmission device, which is applied to a second communication device and includes:

[0018] 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;

[0019] A configuration module, configured to configure a set of preprocessing methods corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to the preprocessing methods in the set of preprocessing methods to obtain a second channel measurement result, and performs quantization and feedback of channel information according to the second channel measurement result.

[0020] An embodiment of the present application provides a communication device, including: a memory, and one or more processors;

[0021] The memory is configured to store one or more programs;

[0022] 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.

[0023] An embodiment of the present application provides a storage medium, where the storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any of the above embodiments is implemented. Description of the Drawings

[0024] Figure 1 It is a schematic diagram of the implementation of a reference signal sending strategy and a corresponding feedback strategy provided by the prior art;

[0025] Figure 2 It is an extended implementation schematic diagram between a reference signal sending strategy and a corresponding feedback strategy provided by the prior art;

[0026] Figure 3 It is a flowchart of an information transmission method provided by an embodiment of the present application;

[0027] Figure 4 It is a flowchart of another information transmission method provided by an embodiment of the present application;

[0028] Figure 5 It is a schematic diagram of implementing the transformation of the measurement result of the first channel provided by an embodiment of the present application;

[0029] Figure 6 It is a flowchart of yet another information transmission method provided by an embodiment of the present application;

[0030] Figure 7 It is a schematic diagram of the results of the Fourier transform and the fractional Fourier transform of a non-stationary signal provided by an embodiment of the present application;

[0031] Figure 8 It is a schematic diagram of preprocessing based on the discrete fractional Fourier transform provided by an embodiment of the present application;

[0032] Figure 9 It is a block diagram of the structure of an information transmission device provided by an embodiment of the present application;

[0033] Figure 10 It is a block diagram of the structure of another information transmission device provided by an embodiment of the present application;

[0034] Figure 11 It is a schematic diagram of the structure of a communication device provided by an embodiment of the present application. Detailed implementation manners

[0035] In the following, embodiments of the present application will be described in conjunction with the accompanying drawings. The following description of the present application with reference to the accompanying drawings of the embodiments is provided, and the examples given are only for explaining the present application and are not intended to limit the scope of the present application.

[0036] In the physical layer, 5G defines some related entities for airspace resources, such as antenna ports, resources, resource sets, beams, transceiver nodes, and antenna panels, etc., which have different levels of abstraction. On this basis, some transmission strategies of reference signals are implicitly defined, and the corresponding channel information measurement feedback strategies are specified. In practical applications, the 5G protocol does not limit how the entity sends the measurement reference signal, giving room for flexible operation on the network side.

[0037] Figure 1 It is a schematic diagram of the implementation of a reference signal transmission strategy and the corresponding feedback strategy provided by the prior art, such as Figure 1As shown in the figure, the existing measurement reference signals are divided into two major categories: precoded measurement reference signals and non-precoded measurement reference signals. Among them, the non-precoded measurement reference signal generally means that each port of the reference signal is respectively mapped to an antenna element entity, and the antenna element entities corresponding to different ports are different. The precoded measurement reference signal means that each port of the reference signal is mapped to multiple antenna entities, and the antenna element entities corresponding to different ports can be the same, but the sampled precoding is different.

[0038] The mapping relationship between the non-precoded measurement reference signal port set P A and the antenna element S can be understood as an identity matrix I, P A = I * S, while for the precoded measurement reference signal P B the mapping relationship with the antenna element is a non-identity matrix D, P B = D * S. Various different types of mapping relationships can be selected, corresponding to different D matrices, so there are many types of precoded measurement reference signals. The commonly used assumption in 5G currently is that the precoded measurement reference signal in the same polarization direction is precoded using the vectors in the DFT matrix. D is the precoding matrix composed of the vector subset of the DFT matrix.

[0039] For non-precoded measurement reference signals, the existing technology uses the DFT codebook feedback that matches it. In 5G NR, Type I Code book and Type II Code book are defined to correspond to CSI feedback with different precisions. For precoded measurement reference signals, they are further divided into two different subtypes. One type uses the port selection (Portselection) codebook feedback, and the other type uses beam selection to feedback the beam index. It can be seen that the most obvious problem of the existing technology is that "the reference signal transmission strategy has a strong binding relationship with the feedback method".

[0040] With the evolution of technology, the types of precoded reference signals may be more and more. The precoding is not limited to the DFT vector, nor is it limited to the form of constant modulus. The communication system hopes to flexibly support more precoding forms. For example, the basis vectors corresponding to the fractional Fourier transform FRFT.

[0041] Beam training is not limited to the simplest way of directly selecting from multiple beams. Some beam training methods based on compressed sensing hope that the selected beam is not any of the measured reference signals, but some beams defined on other precodings. For example, the defined beams are B1, B2,..., BN, but the combination of multiple beams is used on the measurement reference signal and not sent individually. In this way, the best beam among B1, B2,..., BN cannot be directly selected from the measured results.

[0042] Figure 2 It is a schematic diagram of an extended implementation between a reference signal transmission strategy and a corresponding feedback strategy provided by the prior art. As Figure 2 shown, it can be seen that as the reference signal transmission strategy at the transmitting end and the feedback strategy at the receiving end become more and more diverse, the one-to-one mapping between the reference signal transmission strategy and the feedback strategy in the existing system becomes less and less flexible. When different terminals use different feedback strategies according to their own needs, their reference signal transmission has to send multiple different types, resulting in a waste of reference signal overhead, restricting the overall system efficiency, and becoming a bottleneck problem for future multi-antenna communication.

[0043] In view of this, the embodiments of the present application provide an information transmission method, which can transform the channel measurement result in a preprocessing manner to adapt it to the optimal feedback strategy, so that the network side as the transmitting end does not need 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 transmission strategy and the feedback strategy, and thus improving the overall system efficiency.

[0044] In one embodiment, Figure 3 It is a flowchart of an information transmission method provided by the embodiments of the present application. This embodiment is applied to the situation where it is difficult to uniformly design the reference signal transmission strategy and the information feedback strategy. This embodiment can be executed by a first communication device. Exemplarily, the first communication device can be the terminal side, and the terminal side can be used as the receiving end of the reference signal; correspondingly, the second communication device can be the network side, and the network side can be used as the transmitting end of the reference signal. As Figure 3 shown, this embodiment includes: S110-S130.

[0045] S110. Perform channel measurement using the received reference signal to obtain a first channel measurement result.

[0046] Among them, the reference signal can also be called a pilot signal, which is a known signal provided by the network side as the transmitting end to the terminal side as the receiving end for channel estimation or channel detection. In one embodiment, the second communication device as the transmitting end sends a reference signal to the first communication device as the receiving end, so that the first communication device performs channel measurement based on the reference signal to obtain the first channel measurement result corresponding to the channel.

[0047] S120. Transform the first channel measurement result according to the preprocessing method to obtain a second channel measurement result.

[0048] In one embodiment, the first communication device performs transformation processing on the first channel measurement result in a preprocessing manner, so that the second channel measurement result obtained by the transformation processing can be adapted to the optimal feedback strategy. In one embodiment, the preprocessing manner can be obtained by negotiation between the first communication device and the second communication device, or can be configured by the second communication device sending a signaling, or can be selected by the first communication device itself.

[0049] S130. Quantize and feedback the channel information according to the second channel measurement result.

[0050] S140. Send channel quantization feedback indication information to the second communication device.

[0051] After the first communication device determines the quantization method and feedback method of the channel information it uses, the first communication device sends channel quantization feedback indication information to the second communication device to indicate to the second communication device the quantization method and feedback method of the channel information used by the first communication device itself.

[0052] In one embodiment, the reference signal includes at least one of the following: channel state information reference signal; synchronization signal.

[0053] In one embodiment, transforming the first channel measurement result according to the preprocessing manner includes: receiving at least one preprocessing manner configured by the second communication device and transforming the first channel measurement result. The second communication device as the transmitting end and the first communication device as the receiving end can negotiate and agree on a set of preprocessing manners, and the second communication device selects at least one preprocessing manner from the set of preprocessing manners and configures the at least one preprocessing manner for the first communication device, so that the first communication device uses the at least one preprocessing manner to transform the first channel measurement result to obtain the corresponding second channel measurement result.

[0054] In one embodiment, transforming the first channel measurement result according to the preprocessing manner includes: receiving the set of preprocessing manners configured by the second communication device or agreeing on the set of preprocessing manners with the second communication device; selecting at least one preprocessing manner from the set of preprocessing manners and transforming the first channel measurement result. The first communication device as the receiving end can try each preprocessing manner in the set of preprocessing manners and select an optimal preprocessing manner to transform the first channel measurement result to obtain the corresponding second channel measurement result.

[0055] In one embodiment, the information transmission method applied to the first communication device further includes: feeding back 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 set of preprocessing modes. In the case where the first communication device itself 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 can know the preprocessing mode selected by the first communication device through the preprocessing mode indication information.

[0056] In one embodiment, transforming the first channel measurement result according to the preprocessing mode includes: inputting the first channel measurement result into a preprocessing function for transformation. In one example, the preprocessing mode is to input the first channel measurement result into a preprocessing function for transformation processing. The process of the first communication device transforming the first channel measurement result using the preprocessing mode can be understood as the process of the first communication device inputting the first channel measurement result into a preprocessing function for transformation.

[0057] 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. The first communication device may use multiple preprocessing functions to transform the first channel measurement result respectively to obtain corresponding multiple second channel measurement results, that is, the number of second channel measurement results is the same as the number of preprocessing functions used by the first communication device. The first communication device will perform quantization and feedback of channel information using the obtained multiple second channel measurement results so that the second communication device can know the transformation accuracy of different preprocessing functions through different second channel measurement results.

[0058] 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 in sequence; where one transformation process includes: using the transformation result of the previous preprocessing function on the first channel measurement result as the input of the next preprocessing function. The first communication device may use multiple preprocessing functions to transform the first channel measurement result in sequence, that is, the first communication device uses one preprocessing function to transform the first channel measurement result and uses the transformation result as the input of the next preprocessing function, and so on until the transformation processing of the first channel measurement result using multiple preprocessing functions is completed, obtaining a corresponding second channel measurement result.

[0059] 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 non - linear processing function to transform the first channel measurement result.

[0060] 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 communication device itself can select one or more preprocessing functions from the set of preprocessing functions to perform transformation processing on the first channel measurement result to obtain the corresponding second channel measurement result.

[0061] In one embodiment, the information transmission method applied to the first communication device further includes: feeding back preprocessing function indication information to the second communication device, where the preprocessing function indication information is used to indicate the preprocessing function selected by the first communication device from the set of preprocessing functions. When the first communication device itself 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 knows the preprocessing function selected by the first communication device from the set of preprocessing functions.

[0062] In one embodiment, the preprocessing function indication information is further used to indicate the order of the discrete fractional Fourier transform.

[0063] In one embodiment, transforming the first channel measurement result according to a preprocessing method includes: performing linear processing on the first channel measurement result and a transformation matrix in a set of transformation matrices; where the transformation matrix is used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0064] In one embodiment, the transformation matrix includes at least one of the following: discrete Fourier transform matrix; discrete fractional Fourier transform matrix.

[0065] In one embodiment, the configuration method of the set of transformation matrices includes one of the following: negotiated by the first communication device and the second communication device; configured by the second communication device. In one example, a set of transformation matrices can be pre - negotiated by the first communication device and the second communication device; or it can be configured by the second communication device itself and sent to the first communication device through signaling.

[0066] In one embodiment, 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; measurement reference signal resource or port selection information.

[0067] In one embodiment, the information transmission method applied to a first communication device further includes: receiving a mode configuration signaling sent by a second communication device; jointly determining a preprocessing mode, as well as a quantization mode and a feedback mode of channel information according to the mode configuration signaling. The first communication device may jointly determine a preprocessing mode, as well as a quantization mode and a feedback mode of channel information according to the mode configuration information. In one example, the second communication device may establish a mapping relationship between the preprocessing mode and the quantization mode and the feedback mode of channel information, and send the mapping relationship between the preprocessing mode and the quantization mode and the feedback mode of channel information to the first communication device through the mode configuration signaling. The first communication device may determine the quantization mode and the feedback mode of channel information according to the preprocessing mode and the mapping relationship.

[0068] In one embodiment, the preprocessing modes in the preprocessing mode set include: unitary transform processing mode.

[0069] In one embodiment, the transform types for transforming the first channel measurement result include at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted combination processing; non-linear modulo processing.

[0070] In one embodiment, the preprocessing modes in the preprocessing mode set include: linear weighted combination processing and non-linear modulo processing.

[0071] In one embodiment, the transform types for transforming the first channel measurement result include at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; inverse symplectic finite Fourier transform.

[0072] In one embodiment, Figure 4 is a flowchart of another information transmission method provided by an embodiment of the present application. This embodiment is applied to the situation where it is difficult to unify the design of the reference signal transmission strategy and the information feedback strategy. This embodiment may be executed by the second communication device. Exemplarily, the second communication device may be the network side, and the network side may be used as the transmitter of the reference signal; correspondingly, the first communication device may be the terminal side, and the terminal side may be used as the receiver of the reference signal.

[0073] As Figure 4 shown, this embodiment includes: S210 - S220.

[0074] 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.

[0075] S220. Configure a set of preprocessing methods corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to the preprocessing methods in the set of preprocessing methods to obtain a second channel measurement result, and quantizes and feeds back channel information according to the second channel measurement result.

[0076] In one embodiment, the reference signal includes at least one of the following: channel state information reference signal; synchronization signal.

[0077] In one embodiment, the information transmission method applied to the second communication device further includes:

[0078] Send the set of preprocessing methods to the first communication device, so that the first communication device selects at least one preprocessing method from the set of preprocessing methods to transform the first channel measurement result.

[0079] In one embodiment, the information transmission method applied to the second communication device further includes:

[0080] Receive the preprocessing method indication information fed back by the first communication device, where the preprocessing method indication information is used to indicate the preprocessing method selected by the first communication device from the set of preprocessing methods.

[0081] In one embodiment, the preprocessing methods in the set of preprocessing methods include: unitary transformation processing method.

[0082] In one embodiment, the transformation types for transforming the first channel measurement result include at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted combination processing; non-linear modulo processing.

[0083] In one embodiment, the preprocessing methods in the set of preprocessing methods include: linear weighted combination processing and non-linear modulo processing.

[0084] In one embodiment, the transformation types for transforming the first channel measurement result include at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; inverse symplectic finite Fourier transform.

[0085] In one embodiment, transforming the first channel measurement result according to the preprocessing method includes:

[0086] Perform linear processing on the first channel measurement result and the transformation matrix in the set of transformation matrices; where the transformation matrix is used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0087] In one embodiment, the transformation matrix includes at least one of the following: discrete Fourier transform matrix; discrete fractional Fourier transform matrix.

[0088] In one embodiment, the transformation matrix set is configured in one of the following ways: negotiated by the first communication device and the second communication device; configured by the second communication device.

[0089] 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.

[0090] In one embodiment, the information transmission method applied to the second communication device further includes: receiving the channel quantization feedback indication information sent by the first communication device.

[0091] In one embodiment, 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; measurement reference signal resource or port selection information.

[0092] It should be noted that for the explanations of parameters such as the reference signal, the set of preprocessing modes, the first channel measurement result, and the second channel measurement result in the information transmission method applied to the second communication device, refer to the descriptions of the corresponding parameters in the information transmission method applied to the first communication device above, and will not be elaborated here.

[0093] In one embodiment, Figure 5 is a schematic diagram of an implementation for transforming the first channel measurement result provided by an embodiment of the present application. Exemplarily, the reference signal may include but is not limited to: non-precoded pilot, precoding corresponding to a single far-field or near-field beam, combined precoding of multiple far-field or near-field beams; the quantization and feedback modes 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, etc. As Figure 5 shown, the first communication device as the receiving end performs transformation processing on the first channel measurement result corresponding to the received pilot signal to obtain the second channel measurement result, and performs quantization and feedback of the channel information according to the second channel measurement result.

[0094] In the first embodiment, taking the first communication device as the terminal and the second communication device as the network side (for example, the base station), the quantization and feedback process of the channel information is described. Figure 6 is a flowchart of another information transmission method provided by an embodiment of the present application. As Figure 6 shown, the information transmission method includes the following steps:

[0095] Step 1, receiving a reference signal for channel measurement.

[0096] Step 2: Perform channel measurement using a reference signal to obtain a first channel measurement result.

[0097] Step 3: Perform a transformation process on the first channel measurement result to obtain a second channel measurement result.

[0098] Step 4: Quantize and feedback channel information according to the second channel measurement result.

[0099] The network side sends a reference signal for channel measurement. The measurement reference signal generally may include "Channel State Information Reference Signal (CSI-RS)", and Synchronizing Signal (SS). In some cases, the Demodulation Reference Signal (DMRS) can also be used for channel measurement.

[0100] The terminal measures the reference signal for channel measurement to obtain the 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 the receiving antenna may be one or multiple, the first channel measurement result can be characterized as a channel matrix H. If H is a vector, it is also regarded as a matrix. It should be noted that using the channel matrix H to characterize the first channel measurement result is a common method, but not the only one, and other similar methods can be considered as the characterization of the first channel measurement result.

[0101] After the terminal obtains the channel matrix H, directly quantizing and feedbacking H may face some problems. The main reason is that the measured H at this time is the channel characterization between the physical antenna virtualized into some measurement reference signal ports (often also called antenna ports) and the receiving antenna. To ensure flexibility in implementation to cope with various possible situations and scenarios, the base station device on the network side does not want to make very strict regulations on the virtualization of the above physical antenna to the measurement reference signal port. However, at this time, for the terminal, its various feedback methods are adapted to a certain virtualization method of the measurement reference signal port.

[0102] Theoretically, different users can respectively use different virtualization methods of the measurement reference signal port and the corresponding measurement feedback methods. However, due to the large number of users, the problem that may occur is that the overhead of the measurement reference signal will become very large as the number of users increases and the flexibility of the virtualization of the measurement reference signal port increases. Therefore, in order to enable a large number of users to share the same measurement reference signal and save the reference signal overhead, it is necessary to solve the adaptation problem between the virtualization (precoding) of the measurement reference signal port and the measurement feedback.

[0103] Here, a preprocessing method (which can also be called a receiving preprocessing method) can be used to transform the first channel measurement result. The receiving preprocessing method is to input the first channel measurement result into a receiving preprocessing function (which can also be simply called a preprocessing function) for processing. The preprocessing of the first channel measurement result by the receiving end can be linear processing or non-linear processing. If it is linear processing, it can be unitary transformation or non-unitary transformation; if it is non-linear processing, common ones include taking the modulus, etc. The preprocessing method will be further described in detail in the following embodiments.

[0104] The object of preprocessing is generally the first channel measurement result H. There are some methods that can right-multiply a transformation matrix R on the basis of the matrix H, and then perform quantization feedback after changing H to HR. Since in some cases quantization feedback is in the form of a codebook, that is, for the result HR after preprocessing transformation, a codeword w that best matches HR is found from the codebook B (set of codewords), such that w is most adapted to HR. At this time, it is equivalent to finding a w such that HRw is optimal. It can be seen that the preprocessing matrix R can be multiplied on the right side of H, or it can be multiplied on the left side of w, which is equivalent to performing a preprocessing transformation on the entire codebook. Therefore, in some cases, the two are actually equivalent in effect.

[0105] The preprocessing can be agreed upon by the transceiver. A better way is for the transceiver to agree on a set of preprocessing methods. The base station selects from the above set of preprocessing methods and configures them for the terminal. The terminal can also try each preprocessing method in the set of preprocessing methods and select an optimal preprocessing method to preprocess the first channel measurement result, and feedback the corresponding second channel measurement result to the base station.

[0106] The preprocessing methods in the set of preprocessing methods can perform linear transformation processing on the first measurement result. The transformation types can include but are not limited to: one or more of "discrete Fourier transform", "inverse discrete Fourier transform", "discrete fractional Fourier transform", "inverse discrete fractional Fourier transform", "linear weighted combination processing". The transformation types can also include but are not limited to: "wavelet transform", "Wigner transform", "Hilbert transform", "Laplace transform", and the discrete transform forms of "symplectic finite Fourier transform or its inverse transform".

[0107] The terminal uses the transformed second channel measurement result for channel information quantization and feedback. The feedback methods can include beam selection and codebook feedback, etc.; the channel information includes precoding information, beam selection information, number of layers or rank information, measurement reference signal selection information, beam quality information, measurement reference signal resource or port selection information, and so on.

[0108] In the second embodiment, taking the first communication device as the terminal and the second communication device as the network side (for example, a base station), the quantization and feedback process of channel information will be described.

[0109] This embodiment gives some typical ways of preprocessing at the receiving end, including: Method 1, Method 2, Method 3, and Method 4.

[0110] Method 1: The network side as the transmitting end sends a non-precoded reference signal, which is converted to a DFT / FRFT beam and then measured and feedback is performed.

[0111] The non-precoded reference signal is a commonly used reference signal. By transmitting pilot signals on different physical antenna ports, the channel H between the receiving antenna and the transmitting antenna can be measured at the receiving end, that is

[0112] y = Hs + n (1)

[0113] where H is the channel matrix, s is the reference signal, n is the noise term, and y is the reference signal vector received at the terminal side. Since the dimension of H is generally large, preprocessing needs to be performed at the terminal to obtain the sparse characteristics of H in a certain transform domain, thereby reducing the feedback overhead.

[0114] A feasible preprocessing method is to transform the channel H to the angular domain through the discrete Fourier transform (DFT), determine the optimal channel representation based on the received power distribution in the angular domain, and perform feedback. Specifically, the terminal multiplies the measured reference signal vector y by a preset discrete Fourier matrix to obtain

[0115] y' = yW (2)

[0116] y' can be understood as the channel information representation in the transform domain. At this time, y' has sparse characteristics, so the feedback overhead of channel information can be reduced. Generally, the codeword in the preset DFT codebook can be determined according to the index of one or more maximum points in y', and finally the indication information of this codeword is fed back.

[0117] 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 in the near-field region of the base station, the spatial domain channel has a chirp characteristic. If the traditional Fourier transform is performed on the measured channel, a sparse channel representation cannot be obtained, and the feedback overhead cannot be effectively reduced. At this time, another feasible preprocessing method can be adopted, that is, performing a discrete fractional Fourier transform (DFrFT) on the measured channel H. The p-order fractional Fourier transform (FrFT) of the function x(t) can be expressed as

[0118]

[0119] where the kernel function Kp of the transform is defined as

[0120]

[0121] where n is an integer and α = pπ / 2. When p varies from 0 to 1, it is equivalent to observing x(t) from a perspective with an angle 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 observing the channel can be changed, and thus 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, i.e., DFrFT, can be obtained. The commonly used DFrFT is divided into a sampling type and an eigen - decomposition type, and one of them can be selected according to the actual situation. 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 pre - processing at the terminal, and the channel information representation in this transform domain can be obtained.

[0122] Figure 7 It is a schematic diagram of the results of the Fourier transform and the 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 performing the Fourier transform on the non - stationary signal, and the right figure is the result of performing the fractional Fourier transform on the non - stationary signal. As shown in the middle and right figures of Figure 7 A signal with non - stationary characteristics cannot obtain a sparse representation in the Fourier transform domain, while good sparse characteristics are obtained after using the fractional Fourier transform. Therefore, when the channel between the transceiver arrays has spatial non - stationary characteristics, DFrFT can be used at the terminal to pre - process the received reference signal to obtain the best sparse representation, and then feedback it to the base station side.

[0123] It should be noted that since DFrFT introduces an additional ɑ parameter, the channel feedback information obtained by DFrFT can include the indication information of the ɑ parameter. In the scenario based on codebook feedback, the codeword index in the preset codebook includes the indication information of the ɑ parameter, and the base station can determine the corresponding codeword of the channel information obtained by DFrFT according to the feedback information of the terminal.

[0124] Mode 2: The network side as the transmitting end sends DFT beams, converts them to FRFT beams and then performs measurement and feedback;

[0125] Due to the non-precoded pilot transmission power limitation, when the distance between the base station and the user is far or the noise level is high, there may be a problem that the signal-to-noise ratio is too low to affect channel estimation. At this time, it is possible to consider using precoded reference signals for channel estimation and feedback. One way is to use a set of DFT precodings w1, w2, ..., wr, where wi is a column vector of length Nt, i = 1, 2, ..., r. Then the receiving end can receive a receiving vector of length r,

[0126] y = HW DFT s + n (5)

[0127] In the above formula, H is the channel between the transmitter and the receiver, W DFT = [w1, w2, ..., wr], s is the reference signal, and n is the noise term. The i-th column vector of W DFT can be expressed as the Kronecker product of two basis vectors where, denotes the Kronecker product operator, u i1 and u i2 satisfy

[0128]

[0129] For the received y vector, it can be preprocessed to obtain channel information for feedback.

[0130] A feasible preprocessing method is to perform a fractional Fourier transform to convert the received beam into a FrFT beam, that is where, is the inverse of the DFT matrix. When W DFT is not a square matrix, can be a generalized inverse matrix, W FrFT is the FrFT transform matrix. The k-th column vector of a feasible FrFT transform matrix can be constructed by the Kronecker product of two basis vectors uk1 and uk2, and the basis vectors uk1 and uk2 have the following form:

[0131]

[0132] where, ξ kl 、η kl 、ζ kl are preset real-valued constants, j is the imaginary unit, l ∈ [1, 2], 1 ≤ n ≤ N kl ,N k1 *N k2 = N k 。W FrFTIt can also be designed by the discrete format of the kernel function of the fractional Fourier transform, and different orders of approximation can be adopted in the design.

[0133] In the above scheme, the FrFT transform can achieve sparse representation of channel information. Therefore, by adopting this preprocessing method, channel information can be extracted from the received vector and compressed feedback can be performed. Figure 8 It is a schematic diagram of preprocessing based on discrete fractional Fourier transform provided by the implementation of this application. As Figure 8 shown, 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), and the y' obtained after performing the discrete FrFT transform on it has a sparse representation in the fractional Fourier transform domain at the ɑ angle (the curve distributed along the u axis in the figure).

[0134] Method 3: The network side as the transmitter sends FRFT beams, converts them to DFT beams and then performs measurement feedback

[0135] In some communication scenarios, the base station can adopt precoding defined by the fractional Fourier transform basis vectors for signal transmission. When used as a reference signal for transmission, a set of FrFT beams can be obtained. Compared with the far-field beams generated by traditional DFT precoding, the FrFT beams have better spatial focusing performance, so better reception gain can be obtained in some communication environments. Similarly, after a set of reference signals in the form of FrFT beams are transmitted by the base station, the receiving end can obtain a received vector y, that is

[0136] y = HW FrFT s + n (8)

[0137] where W FrFT is the FrFT precoding matrix, s is the reference signal, and n is the noise term. The receiving end can choose to perform DFT preprocessing on the received reference signal vector to convert the FrFT beam into a DFT beam, that is

[0138]

[0139] where 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 channel estimation accuracy.

[0140] Method 4: The network side as the receiver sends DFT beams, converts them to the unprecoded reference signal of the identity matrix I and then performs measurement feedback;

[0141] 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, another type of preprocessing can be performed on the reference signal vector, that is

[0142]

[0143] Among them, I is a diagonal identity matrix. After the above preprocessing, the received vector can be transformed into an unprecoded reference signal. Measurements and channel estimation can be performed in this transformed domain, and then feedback is carried out. Compared with the aforementioned centralized preprocessing, this scheme has lower computational complexity.

[0144] It should be noted that the base station described in the above embodiments can be a single base station or multiple base stations that cooperate to form a virtual base station.

[0145] In the above embodiments, the terminal can receive a set of reference signals transmitted by the base station, that is, the received vector y. In the measurement feedback scheme proposed in this application, a preprocessing operation can be performed on the received vector y and then feedback is carried out. This preprocessing operation can be a preset function or a transformation matrix, that is, y' = yW, where W is the preset transformation matrix. According to different communication scenarios, different preset matrices can be used for preprocessing. For example, W = W DFT 、 W = W FrFT 、 etc.

[0146] In the third embodiment, taking the first communication device as the terminal and the second communication device as the network side (for example, the base station), the quantization and feedback process of the channel information is described.

[0147] The terminal determines multiple preprocessing matrices to process the first channel measurement results respectively.

[0148] The received preprocessing method is to multiply the first channel measurement results by multiple transformation matrices in the transformation matrix set for processing.

[0149] The transformation matrix is used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0150] In some communication application scenarios, considering the signaling overhead, when the base station transmits reference signals, it does not inform the terminal side of the type of the reference signals it transmits, such as unprecoded pilot signals or precoded pilot signals. At this time, the terminal needs to select a subset of preprocessing methods from a preset set of preprocessing methods to preprocess the first channel measurement results corresponding to the received reference signals, and feedback to the base station according to the second channel measurement results.

[0151] In a communication scenario, the terminal side presets DFT and DFrFT transforms as a set of preset preprocessing methods. After the terminal receives the reference signal, it respectively uses DFT and DFrFT to preprocess the received vector, and performs feedback based on the second channel measurement result obtained from the preprocessing. Generally speaking, different preprocessing methods can obtain channel information with different sparsities. Therefore, the appropriate channel characterization parameters can be determined and fed back according to the sparsity of the channel information in the transform domain obtained by multiple preprocessing methods. Here, the DFT preprocessing and DFrFT preprocessing can be multiplying the received vector by the DFT transform matrix or the DFrFT transform matrix.

[0152] Furthermore, the DFrFT transform has one more dimension than the DFT transform. Therefore, when using DFrFT preprocessing, the DFrFT transform matrix can actually include a set of transform matrices determined by the kernel function of the FrFT transform. DFrFT preprocessing needs to respectively test the sparsity of the channel after multiplying the transform matrix by the received vector, and then determine the appropriate channel characterization parameters and perform feedback. Since the base station side and the terminal side do not agree on the type of the reference signal, and generally do not agree on the preprocessing method of the terminal either, the terminal needs to include preprocessing method indication information during feedback, so that the base station side can restore the required channel state information according to the feedback preprocessing method indication information and select the appropriate downlink signal precoding.

[0153] It can be seen from the kernel function form shown in formula (4) that the set of FrFT transform matrices is related to the parameter ɑ. Therefore, when using DFrFT for preprocessing, the obtained channel characterization parameters should include the parameter ɑ. Therefore, the terminal also needs to include indication information of the parameter ɑ during 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 not feedback the indication information of the parameter ɑ but feedback the indication information of the order p.

[0154] The difference between this embodiment and the above second embodiment is that the transceiver parties do not pre-agree on the type of the reference signal and the preprocessing method. Therefore, the terminal adds a process of selecting a preprocessing method in the preprocessing process. It is necessary to screen out the appropriate preprocessing method from a set of preset preprocessing methods, then use the preprocessing method to transform the first channel measurement result to obtain the corresponding second channel measurement result, and then perform quantization and feedback of the channel information according to the second channel measurement result.

[0155] In this embodiment, it is the orthogonal basis corresponding to alpha of multiple FRFTs (the transform matrix is a discrete Fourier transform matrix or a discrete fractional Fourier transform matrix).

[0156] The terminal selects a preprocessing function from a set of preprocessing functions, transforms the first channel measurement result using the selected preprocessing function to obtain a corresponding second channel measurement result, then quantizes and feeds back channel information according to the second channel measurement result, and feeds back preprocessing flow function indication information for indicating the selected preprocessing function to the network side.

[0157] The preprocessing function indication information is also used to indicate the order of the discrete fractional Fourier transform.

[0158] In the fourth embodiment, in some communication scenarios, the terminal side needs to select a subset of preprocessing functions from a group of preprocessing functions, and use the preprocessing functions in the subset of preprocessing functions to perform preprocessing, quantization and feedback on the received reference signal.

[0159] In this embodiment, when the transmitting beam of the measurement reference signal and the feedback beam are different, the preprocessing method (such as Hash beam training) adopted by the receiving end is given. At this time, the preprocessing methods in the set of preprocessing methods include "linear weighted combination and nonlinear modulo processing"; the terminal determines multiple preprocessing functions to process the first channel measurement result, where there is at least one linear processing function and one nonlinear processing function among the preprocessing functions.

[0160] The terminal determines multiple preprocessing functions to process the first channel measurement result in sequence. The so-called one-time processing means using the processing result of the previous function as the input of the next function to obtain a corresponding result.

[0161] Method 1: First perform nonlinear modulo processing, and then perform linear weighted combination.

[0162] 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 weighted summation. For example, when the base station side transmits the m-th reference signal, the signal received by the terminal side is

[0163] y m =HW m s + n m (11)

[0164] where W m is precoding, s is the reference signal, and n is the noise term. The terminal takes the modulo of each received reference signal, then selects a set of weighting coefficients Ai = {a i1 , a i2 ,..., a iN} from a set of weighting coefficients A, and finally performs weighted summation on the modulo values of the received reference signals, that is

[0165]

[0166] The modulo operation can also be replaced by the square of the modulus value, i.e.,

[0167]

[0168] The set A of weighting coefficients can be a preset weighting coefficient matrix. In some scenarios, the sum of each group of weighting coefficients in A is 1; in some other scenarios, each group of weighting coefficients in A contains two values, 0 and 1, and at least one 0 and one 1; in some other scenarios, each group of weighting coefficients in A contains three values, -1, 0, and 1, and at least one 0, one 1, and one -1.

[0169] After the terminal preprocesses the received reference signal according to formula (11) or (12), a set of weighted summation values can be obtained, and finally the channel characterization parameter is determined according to this set of weighted summation results. For example, the channel characterization parameter can be determined according to one or more maximum values in the weighted summation result and quantized and fed back.

[0170] It should be noted that since the characterization of the above channel depends on the selection of the weighting coefficients, the feedback indication information should include the indication information of the weighting coefficients corresponding to the multiple maximum values.

[0171] Method 2: First perform linear weighted combination, and then perform non-linear modulo processing.

[0172] In another communication scenario, the terminal performs linear weighted combination on the received reference signal line and then performs a modulo operation, i.e.,

[0173]

[0174] Or,

[0175]

[0176] where y m is the m-th reference signal received at the terminal side, and a im is the m-th weight value in the i-th group of weight coefficients in the preset weighting coefficient matrix. In some application scenarios, each element in the weighting coefficient matrix can be 0 or 1; in some other scenarios, each group of weighting coefficients in the weighting coefficient matrix contains two values, 0 and 1, and at least one 0 and one 1; in some other scenarios, each group of weighting coefficients in the weighting coefficient matrix contains three values, -1, 0, and 1, and at least one 0, one 1, and one -1; in some other scenarios, each element of the weighting coefficient matrix is a unit complex vector. For example, the m-th coefficient in the i-th group of weight coefficients can be expressed as where α imis a preset modulus value, and θ im is a preset phase.

[0177] Similarly, the terminal can determine the characterization parameter of the channel information according to the weighted summation result after preprocessing, and feedback the indication information of the characterization parameter to the base station side.

[0178] In the above preprocessing method, the processing of the reference signal received by the terminal can be divided into multiple steps, and the processing result of the previous step is the input of the subsequent processing. In addition, the above preprocessing method includes at least one linear processing function and one non-linear processing function.

[0179] In the sixth embodiment, in order to compress the pilot overhead, the base station side generally selects to send a limited number of reference signals. For example, the reference signal beams with the same dimension as the base station antenna array are selected. The terminal side can perform oversampling operation on the received pilot signal through preprocessing operations, so as to obtain more refined channel state information and perform feedback.

[0180] Specifically, the base station side sends N1 reference signals to the terminal side. The i-th reference signal is transmitted by the i-th beam, and the corresponding precoding of the beam is W i , then the reference signal vector received by the terminal can be expressed as

[0181] y = HWs + n (16)

[0182] where y = [y 1 , y 2 ,..., y N1 , W = [W 1 , W 2 ,..., 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

[0183] y' = yW -1 W o (17)

[0184] where W -1 is the inverse matrix or generalized inverse matrix of W, and W o is the oversampling transformation matrix, which contains N2 column vectors, and N2 is greater than N1. In some cases, N2 = 2 * N1 or N2 = 4 * N1, or N2 = 8 * N1 can be preset. Specifically, it can be determined according to the application scenario or the base station can send configuration signaling for the terminal to configure.

[0185] After adopting the preprocessing method shown in formula (17), the terminal can change the dimension of the received reference signal from N1 to N2, implement oversampling operation, and obtain more refined channel state information. W and Wo can be constructed by basis functions with a specific form, such as the Kronecker product of the basis vectors shown in formula (6) or (7), or can be constructed by the discrete form of other orthogonal basis functions or orthogonal basis vectors.

[0186] In one embodiment, Figure 9 is a structural block diagram of an information transmission device provided by an embodiment of the present application. This embodiment is applied to the first communication device. As Figure 9 shown, the information transmission device in this embodiment includes: a measurement module 310, a transformation module 320, a quantization feedback module 330, and a transmission module 340.

[0187] The measurement module 310 is configured to perform channel measurement using the received reference signal to obtain a first channel measurement result;

[0188] The transformation module 320 is configured to transform the first channel measurement result according to the preprocessing method to obtain a second channel measurement result;

[0189] The quantization feedback module 330 is configured to perform quantization and feedback of channel information according to the second channel measurement result;

[0190] The transmission module 340 is configured to send channel quantization feedback indication information to the second communication device.

[0191] In one embodiment, the reference signal includes at least one of the following: a channel state information reference signal; a synchronization signal.

[0192] In one embodiment, transforming the first channel measurement result according to the preprocessing method is configured to: receive at least one preprocessing method configured by the second communication device and transform the first channel measurement result.

[0193] In one embodiment, transforming the first channel measurement result according to the preprocessing method includes: receiving a set of preprocessing methods configured by the second communication device or, agreeing on a set of preprocessing methods with the second communication device; selecting at least one preprocessing method from the set of preprocessing methods and transforming the first channel measurement result.

[0194] In one embodiment, the information transmission device applied to the first communication device further includes:

[0195] A feedback module configured to feedback preprocessing method indication information to the second communication device, and the preprocessing method indication information is used to indicate the preprocessing method selected by the first communication device from the set of preprocessing methods.

[0196] 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.

[0197] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes: using at least two preprocessing functions to separately transform the first channel measurement result.

[0198] In one embodiment, inputting the first channel measurement result into a preprocessing function for transformation includes: using at least two preprocessing functions to sequentially transform the first channel measurement result; wherein, one transformation process includes: using the transformation result of the previous preprocessing function on the first channel measurement result as the input of the subsequent preprocessing function.

[0199] 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 non - linear processing function to transform the first channel measurement result.

[0200] 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.

[0201] In one embodiment, the information transmission device applied to the first communication device further includes:

[0202] A feedback module, further configured to feedback preprocessing function indication information to the second communication device, where the preprocessing function indication information is used to indicate the preprocessing function selected by the first communication device from the set of preprocessing functions.

[0203] In one embodiment, the preprocessing function indication information is further used to indicate the order of the discrete fractional Fourier transform.

[0204] In one embodiment, transforming the first channel measurement result according to a preprocessing method includes: performing linear processing on the first channel measurement result and a transformation matrix in a set of transformation matrices; wherein, the transformation matrix is used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0205] In one embodiment, the transformation matrix includes at least one of the following: a discrete Fourier transform matrix; a discrete fractional Fourier transform matrix.

[0206] In one embodiment, the transformation matrix set is configured in one of the following ways: negotiated by the first communication device and the second communication device; configured by the second communication device. In one example, a transformation matrix set can be pre - negotiated by the first communication device and the second communication device; alternatively, it can be configured by the second communication device itself and sent to the first communication device via signaling.

[0207] In one embodiment, 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; measurement reference signal resource or port selection information.

[0208] In one embodiment, the information transmission device applied to the first communication device further includes:

[0209] A receiving module, configured to receive the mode configuration signaling sent by the second communication device; jointly determine the pre - processing mode, as well as the quantization mode and feedback mode of the channel information according to the mode configuration signaling. The first communication device can jointly determine the pre - processing mode, as well as the quantization mode and feedback mode of the channel information according to the mode configuration information.

[0210] In one embodiment, the pre - processing modes in the pre - processing mode set include: unitary transformation processing mode.

[0211] In one embodiment, the transformation types for transforming the first channel measurement result include at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted combination processing; non - linear modulo processing.

[0212] In one embodiment, the pre - processing modes in the pre - processing mode set include: linear weighted combination processing and non - linear modulo processing.

[0213] In one embodiment, the transformation types for transforming the first channel measurement result include at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; inverse symplectic finite Fourier transform.

[0214] The information transmission device provided in this embodiment is configured to implement Figure 3 the information transmission method for the first communication device shown in the embodiment. The implementation principle and technical effects of the information transmission device provided in this embodiment are similar and will not be elaborated here.

[0215] In one embodiment, Figure 10 is the structural block diagram of another information transmission device provided in the embodiments of the present application. This embodiment is applied to the second communication device. As Figure 10 shown, the information transmission device in this embodiment includes: a sending module 410 and a configuration module 420.

[0216] A transmitting module 410, configured to transmit 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;

[0217] A configuration module 420, configured to configure a set of preprocessing methods corresponding to the first channel measurement result, so that the first communication device transforms the first channel measurement result according to the preprocessing methods in the set of preprocessing methods to obtain a second channel measurement result, and quantifies and feeds back channel information according to the second channel measurement result.

[0218] In one embodiment, the reference signal includes at least one of the following: a channel state information reference signal; a synchronization signal.

[0219] In one embodiment, the information transmission device applied to a second communication device further includes:

[0220] The transmitting module 410 is further configured to transmit a set of preprocessing methods to the first communication device, so that the first communication device selects at least one preprocessing method from the set of preprocessing methods to transform the first channel measurement result.

[0221] In one embodiment, the information transmission device applied to a second communication device further includes:

[0222] A receiving module, configured to receive preprocessing method indication information fed back by the first communication device, where the preprocessing method indication information is used to indicate the preprocessing method selected by the first communication device from the set of preprocessing methods.

[0223] In one embodiment, the preprocessing methods in the set of preprocessing methods include: unitary transformation processing methods.

[0224] In one embodiment, the transformation types for transforming the first channel measurement result include at least one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted combination processing; non-linear modulo processing.

[0225] In one embodiment, the preprocessing methods in the set of preprocessing methods include: linear weighted combination processing and non-linear modulo processing.

[0226] In one embodiment, the transformation types for transforming the first channel measurement result include at least one of the following: wavelet transform; Wigner transform; Hilbert transform; Laplace transform; symplectic finite Fourier transform; inverse symplectic finite Fourier transform.

[0227] In one embodiment, transforming the first channel measurement result according to the preprocessing method includes:

[0228] Perform linear processing on the first channel measurement result and the transformation matrices in the set of transformation matrices; wherein, the transformation matrix is used to transform a set of complete orthogonal bases into another set of complete orthogonal bases.

[0229] In one embodiment, the transformation matrix at least includes one of the following: discrete Fourier transform matrix; discrete fractional Fourier transform matrix.

[0230] In one embodiment, the configuration method of the set of transformation matrices includes one of the following: negotiated by the first communication device and the second communication device; configured by the second communication device.

[0231] In one embodiment, the information transmission device applied to the second communication device further includes:

[0232] The sending module 410 is further 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.

[0233] In one embodiment, the information transmission device applied to the second communication device further includes:

[0234] The receiving module is further configured to receive the channel quantization feedback indication information sent by the first communication device.

[0235] In one embodiment, the channel information at least includes 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; measurement reference signal resource or port selection information.

[0236] The information transmission device provided in this embodiment is configured to implement Figure 4 The information transmission method applied to the second communication device in the illustrated embodiment. The implementation principle and technical effects of the information transmission device provided in this embodiment are similar and will not be elaborated here.

[0237] In one embodiment, Figure 11 is a schematic structural diagram of a communication device provided in an embodiment of the present application. As Figure 11 shown, 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, Figure 11 Taking one processor 510 as an example. The number of memories 520 in the device can be one or more, Figure 11 Taking one memory 520 as an example. The processor 510, memory 520, and communication module 530 of the device can be connected through a bus or other means, Figure 11Take the bus connection as an example. In this embodiment, the device can be the first communication device or the second communication device.

[0238] The memory 520, as a computer-readable storage medium, can be set to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the devices in any embodiment of the present application (for example, the measurement module 310, transformation module 320, and quantization feedback module 330 in the information transmission device applied to the first communication device). The memory 520 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the device, etc. In addition, the memory 520 can include high-speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 520 can further include a memory remotely set relative to the processor 510, and these remote memories can be connected to the device through a network. Examples of the above network include but are not limited to the Internet, enterprise intranet, local area network, mobile communication network, and their combinations.

[0239] When the communication device is the first communication device, the device provided above can be set to execute the information transmission method applied to the first communication device provided in any of the above embodiments, and has the corresponding functions and effects.

[0240] When the communication device is the second communication device, the device provided above can be set to execute the information transmission method applied to the second communication device provided in any of the above embodiments, and has the corresponding functions and effects.

[0241] The embodiment of the present application also provides a storage medium containing computer-executable instructions. The computer-executable instructions are used to execute an information transmission method applied to a first communication device when executed by a computer processor. The method includes: performing channel measurement using the received reference signal 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.

[0242] An embodiment of the present application further provides a storage medium containing computer-executable instructions, which are used to execute an information transmission applied to a second communication device when executed by a computer processor. The method includes: sending a reference signal to a first communication device to enable the first communication device to perform channel measurement based on the reference signal to obtain a first channel measurement result; configuring a set of preprocessing methods corresponding to the first channel measurement result to enable the first communication device to transform the first channel measurement result according to the preprocessing methods in the set of preprocessing methods to obtain a second channel measurement result, and perform quantization and feedback of channel information according to the second channel measurement result.

[0243] Those skilled in the art should understand that the term user equipment covers any suitable type of wireless user equipment, such as a mobile phone, a portable data processing device, a portable network browser, or a vehicle-mounted mobile station.

[0244] In general, various embodiments of the present application can be implemented in hardware or a dedicated circuit, software, logic, or any combination thereof. For example, some aspects can be implemented in hardware, while other aspects can be implemented in firmware or software that can be executed by a controller, a microprocessor, or other computing devices, although the present application is not limited thereto.

[0245] Embodiments of the present application can be implemented by a data processor of a mobile device executing computer program instructions, such as in a processor entity, or by hardware, or by a combination of software and hardware. The computer program instructions can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages.

[0246] Any block diagram of a logical process in the accompanying drawings of the present application may represent program steps, or may represent interconnected logic circuits, modules, and functions, or may represent a combination of program steps and logic circuits, modules, and functions. A computer program may be stored in a memory. The memory may have any type suitable for the local technical environment and may be implemented using any suitable data storage technology, such as but not limited to Read-Only Memory (ROM), Random Access Memory (RAM), optical memory devices and systems (Digital Video Disc (DVD) or Compact Disk (CD)), etc. A computer-readable medium may include a non-transitory storage medium. The data processor may be 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 Processing (DSP) processor, an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FGPA), and a processor based on a multi-core processor architecture.

[0247] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application may have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An information transmission method, characterized in that, applied to a first communication device, includes: Performing channel measurement using the received reference signal 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; Quantifying and feeding back channel information according to the second channel measurement result; Sending channel quantization feedback indication information to a second communication device.

2. The method according to claim 1, characterized in that, The transforming the first channel measurement result according to a preprocessing method includes: Receiving at least one preprocessing method configured by the second communication device and transforming the first channel measurement result.

3. The method according to claim 1, characterized in that, The transforming the first channel measurement result according to a preprocessing method includes: Receiving a set of preprocessing methods configured by the second communication device or agreeing on a set of preprocessing methods with the second communication device; Selecting at least one preprocessing method from the set of preprocessing methods and transforming the first channel measurement result.

4. The method according to claim 3, characterized in that, The method further includes: Feeding back preprocessing method indication information to the second communication device, where the preprocessing method indication information is used to indicate the preprocessing method selected by the first communication device from the set of preprocessing methods.

5. The method according to claim 1, characterized in that, The transforming the first channel measurement result according to a preprocessing method includes: Inputting the first channel measurement result into a preprocessing function for transformation.

6. The method according to claim 5, characterized in that, The inputting the first channel measurement result into a preprocessing function for transformation includes: Transforming the first channel measurement result using at least two preprocessing functions respectively.

7. The method according to claim 5, characterized in that, The inputting the first channel measurement result into a preprocessing function for transformation includes: Transforming the first channel measurement result using at least two preprocessing functions in sequence; where one transformation process includes: using the transformation result of the previous preprocessing function on the first channel measurement result as the input of the next preprocessing function.

8. The method according to claim 5, characterized in that, The inputting the first channel measurement result into a preprocessing function for transformation includes: Transforming the first channel measurement result using at least one linear processing function and at least one non - linear processing function.

9. The method according to claim 5, characterized in that, The 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 and transforming the first channel measurement result.

10. The method according to claim 9, characterized in that, The method further includes: Feedback preprocessing function indication information to a second communication device, where the preprocessing function indication information is used to indicate the preprocessing function selected by the first communication device from the set of preprocessing functions.

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

12. The method according to claim 1, wherein, performing the transformation on the first channel measurement result according to the preprocessing manner includes: performing linear processing on the first channel measurement result and a transformation matrix in a set of transformation matrices; 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 at least includes one of the following: discrete Fourier transform matrix; discrete fractional Fourier transform matrix.

14. The method according to claim 1, wherein, the channel information at least includes 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; measurement reference signal resource or port selection information.

15. The method according to claim 1, wherein, the method further includes: receiving a manner configuration signaling sent by the second communication device; jointly determining the preprocessing manner, and the quantization manner and feedback manner of the channel information according to the manner configuration signaling.

16. An information transmission method, wherein, applied to a second communication device, 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 set of preprocessing manners corresponding to the first channel measurement result, so that the first communication device performs transformation on the first channel measurement result according to the preprocessing manners in the set of preprocessing manners to obtain a second channel measurement result, and performs quantization and feedback of channel information according to the second channel measurement result.

17. The method according to claim 16, wherein, the preprocessing manners in the set of preprocessing manners include: unitary transformation processing manner.

18. The method according to claim 16, wherein, the transformation types for performing transformation on the first channel measurement result at least include one of the following: discrete Fourier transform; inverse discrete Fourier transform; discrete fractional Fourier transform; inverse discrete fractional Fourier transform; linear weighted combining processing; nonlinear modulo processing.

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

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

21. The method according to claim 16, wherein, The transformation of the first channel measurement result according to the preprocessing method includes: Performing linear processing on the first channel measurement result and a transformation matrix in a set of transformation matrices; 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 method of the set of transformation matrices includes one of the following: negotiated by the first communication device and the second communication device; configured by the second communication device.

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

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

25. The method according to 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; measurement reference signal resource or port selection information.

26. A communication device, wherein, includes: 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 according to any one of claims 1-15 or 16-25 above.

27. A storage medium, wherein, The storage medium stores a computer program, and when the computer program is executed by a processor, it implements the method according to any one of claims 1-15 or 16-25 above.

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