CN115412411B - Data transmission method and device - Google Patents

Abstract

The application provides a data transmission method and a device, wherein the method can comprise the following steps when being applied to a transmitting end: the method comprises the steps of obtaining the moving speed of a receiving end and/or the moving speed of a sending end, determining a filter coefficient according to the moving speed of the receiving end and/or the moving speed of the sending end, filtering a first signal according to the filter coefficient to obtain a filtered first signal, and sending the filtered first signal to the receiving end. The determined filter coefficient can better reduce the inter-carrier interference generated when the receiving end and/or the transmitting end move, and effectively improve the transmission performance of the filtered first signal transmitted between the receiving end and the transmitting end when the receiving end and/or the transmitting end move.

Description

Data transmission method and device

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to the Chinese patent application filed with the Intellectual Property Office of the People's Republic of China on May 26, 2021, with application number 202110578153.4 and invention name "A communication method, terminal and network device", all contents of which are incorporated by reference in this application.

Technical Field

The present application relates to the field of communications, and in particular to a data transmission method and device.

Background technique

Orthogonal frequency-division multiplexing (OFDM) has become the core modulation technology of the fifth generation (5G) mobile communication system due to its advantages of anti-multipath fading, anti-inter-symbol interference, flexible bandwidth and high spectrum utilization.

With the rapid development of high-speed transportation such as high-speed rail, the wireless channel environment has become more complex, which makes the research work of high-mobility wireless transmission technology very challenging. Especially in high-mobility scenarios, the Doppler frequency deviation caused by the high mobility of the terminal will destroy the subcarrier orthogonality of traditional OFDM modulation, causing inter-carrier interference (ICI), resulting in serious performance loss. How to effectively suppress the impact of Doppler frequency deviation is an important issue that needs to be solved for high-mobility transmission.

Summary of the invention

The embodiments of the present application provide a data transmission method and device for reducing inter-carrier interference generated in a mobile scenario and improving signal transmission performance.

In a first aspect, the present application provides a data transmission method, which is applied to a transmitting end, and the transmitting end may be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The receiving end may be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The method includes: obtaining a moving speed of the receiving end and/or a moving speed of the transmitting end; determining a filter coefficient according to the moving speed of the receiving end and/or the moving speed of the transmitting end, filtering the first signal according to the filter coefficient to obtain the filtered first signal, and sending the filtered first signal to the receiving end.

Through the above method, since the transmitting end takes into account the influence of the moving speed of the receiving end and/or the moving speed of the transmitting end on the filter coefficient, that is, the filter coefficient is determined based on the moving speed of the receiving end and/or the moving speed of the transmitting end, the determined filter coefficient can better reduce the inter-carrier interference generated when the receiving end and/or the transmitting end moves, and effectively improve the transmission performance of the filtered first signal transmitted between the receiving end and the transmitting end when the receiving end and/or the transmitting end moves.

In a possible implementation, the filter coefficient is determined according to a parameter of the first signal and a moving speed of the receiving end, wherein the parameter of the first signal includes at least one of the following: a modulation coding mode of the first signal or a time-frequency resource corresponding to the first signal.

Through the above method, when the receiving end is a terminal device and the receiving end is in a moving state, the filter coefficient can be determined based on the parameters of the first signal and the moving speed of the receiving end, thereby improving the performance of the filtered first signal sent by the transmitting end.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the transmitter; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

Through the above method, when the transmitting end is a terminal device and the transmitting end is in a moving state, the filter coefficient can be determined based on the parameters of the first signal and the moving speed of the transmitting end, thereby improving the performance of the filtered first signal sent by the transmitting end.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal, the moving speed of the receiving end, and the moving speed of the transmitting end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

Through the above method, when both the sending end and the receiving end are in a mobile state, for example, both the sending end and the receiving end are terminal devices, the filter coefficient can be determined based on the parameters of the first signal, the moving speed of the sending end and the moving speed of the receiving end, thereby improving the performance of the filtered first signal sent by the sending end.

In a possible implementation manner, the modulation and coding mode of the first signal is a high-order modulation and coding mode, and the high-order modulation and coding mode is a modulation and coding mode with an order greater than 2.

Considering that when the modulation and coding mode is a high-order modulation and coding mode, the mobile speed has a greater impact on the performance of the filter coefficient, at this time, the filter coefficient can be determined based on the mobile speed of the receiving end and/or the mobile speed of the transmitting end. Different filter coefficients are used at different mobile speeds of the receiving end and/or the transmitting end to better adapt to different transmission signal environments of the receiving end and/or the transmitting end.

Correspondingly, when the modulation and coding mode of the first signal is a low-order modulation and coding mode, the trained filter coefficients can be used. For example, the trained filter coefficients are obtained by training after receiving and sending training signals when the training receiving end and/or the training sending end are in a mobile state. When it is determined that the receiving end and/or the sending end are in a mobile state, that is, when the moving speed of the receiving end and/or the moving speed of the sending end is greater than a preset threshold, the trained filter coefficients are used to filter the first signal, thereby improving the filtering performance of the first signal.

In a possible implementation, when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes and/or the moving speed interval in which the moving speed of the sending end is located changes, the filter coefficient is updated.

In order to reduce the complexity of the filters at the receiving end and the transmitting end, the method for determining the filter coefficient based on the moving speed of the receiving end and/or the moving speed of the transmitting end can be to determine the filter coefficient based on the moving speed interval in which the moving speed of the receiving end is located and/or the moving speed interval in which the moving speed of the transmitting end is located. Therefore, the transmitting end can update the filter coefficient when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes and/or the moving speed interval in which the moving speed of the transmitting end is located changes.

Optionally, after updating the filter coefficients, the transmitting end may also indicate the updated filter coefficients to the receiving end to improve the reliability of the first signal transmission.

In a possible implementation manner, the moving speed of the receiving end and/or the moving speed of the sending end is greater than a preset threshold.

Taking into account that when the moving speed of the receiving end and/or the moving speed of the transmitting end is high, the interference between carriers generated by the signal during channel transmission is large. Therefore, when the moving speed of the receiving end and/or the moving speed of the transmitting end is greater than a preset threshold, determining the filter coefficient based on the moving speed of the receiving end and/or the moving speed of the transmitting end may more significantly improve the performance of the filter.

A possible implementation manner is to send first information to the receiving end, where the first information is used to indicate the filter coefficient.

Through the above method, the transmitting end can indicate the filter coefficient of the first signal to the receiving end, ensuring that the transmitting end and the receiving end use the same filter coefficient to filter the first signal, thereby improving the reliability of the first signal transmission. Of course, the filter coefficient of the first signal can also be determined by a pre-agreed method, which is not limited here.

In a possible implementation manner, when the transmitting end is a network device, the method further includes: sending a modulation and coding mode of the first signal to the receiving end;

When the transmitting end is a terminal device, the method further includes: receiving a modulation and coding mode of the first signal from a network device.

Through the above method, the network device can indicate the modulation and coding mode of the first signal to the terminal device, and then the transmitting end and the receiving end can determine the modulation and coding mode of the first signal. Then, the transmitting end and the receiving end can determine the filter coefficients used for the first signal according to the modulation and coding mode of the first signal, thereby improving the reliability of the transmission of the first signal. In addition, the transmitting end may not indicate the filter coefficients of the first signal to reduce signaling overhead.

In a possible implementation manner, the filter coefficients are frequency domain filter coefficients; and the method further includes:

The first signal is upsampled in the frequency domain, and the upsampling multiple is the overlap coefficient of the filter corresponding to the first signal; the upsampled first signal is subjected to frequency domain filtering processing through the frequency domain filter coefficient to obtain the filtered first signal.

Through the above method, the frequency domain signal can be processed by upsampling first, and then the convolution kernel in the convolution layer in the CNN can be determined by the frequency domain filter coefficient. The upsampled first signal can be convolved by the convolution layer in the CNN to achieve frequency domain filtering of the first signal.

In a possible implementation manner, the filter coefficients are frequency domain filter coefficients; and the method further includes:

Performing time-frequency transformation on the frequency domain filter coefficients to determine the time domain filter coefficients;

The first signal is filtered according to the time domain filter coefficient to obtain a filtered first signal.

In a possible implementation manner, the filter coefficient is trained according to a filtered training signal from the training sending end received by the training receiving end when the training receiving end and/or the training sending end are in a moving state;

The filtered training signal sent by the training sending end is a signal filtered according to the filter coefficients to be trained, and the training parameters of the filter coefficients are determined according to at least one of the following: the moving speed interval satisfied by the training receiving end, the moving speed interval satisfied by the moving speed of the training sending end, or at least one of the parameters of the first signal.

Through the above method, the filter coefficients can be obtained after training, thereby improving the robustness of the filter.

In a second aspect, the present application provides a data transmission method, which is applied to a receiving end, and the receiving end can be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The transmitting end can be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The method includes: receiving a filtered first signal sent by the transmitting end; processing the filtered first signal according to a filter coefficient, wherein the filter coefficient is determined according to the moving speed of the receiving end and/or the moving speed of the transmitting end.

Through the above method, the receiving end can determine the filter coefficient after considering the influence of the moving speed of the receiving end and/or the moving speed of the transmitting end on the filter coefficient, that is, based on the moving speed of the receiving end and/or the moving speed of the transmitting end, so that the determined filter coefficient can better reduce the inter-carrier interference generated when the receiving end and/or the transmitting end moves, and effectively reduce the bit error rate of the signal received by the receiving end when the receiving end and/or the transmitting end moves.

In a possible implementation manner, first information is received from a transmitting end, where the first information is used to indicate the filter coefficient.

Through the above method, by sending the first information through the sending end, the receiving end can determine that the signal sent by the sending end is filtered by the filter coefficient indicated by the first information after receiving the first information, thereby ensuring that the receiving end can correctly receive the filtered first signal sent by the sending end.

In a possible implementation manner, when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes, the moving speed of the receiving end is sent to the sending end.

By means of the above method, when the moving speed interval of the moving speed of the receiving end changes, the sending end can be notified in time, so as to update the filter coefficient in time and improve the filtering performance of the transmitted signal.

A possible implementation method is to receive second information from the transmitting end, where the second information is used to indicate updated filter coefficients, and the updated filter coefficients are determined when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes and/or the moving speed interval in which the moving speed of the transmitting end is located changes.

Through the above method, after receiving the second information sent by the transmitter, the filter coefficient update can be determined, so that the receiver can process the received signal according to the updated filter coefficient to ensure that the data in the signal can be received correctly and reduce the bit error rate.

In a possible implementation method, the filter coefficient is a frequency domain filter coefficient; the filtering processing of the filtered first signal includes: performing frequency domain filtering processing on the filtered first signal through the frequency domain filter coefficient; downsampling the filtered first signal in the frequency domain, and the downsampling multiple is the overlapping coefficient of the filter corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the receiving end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the transmitter; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal, the moving speed of the receiving end, and the moving speed of the transmitting end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation manner, the modulation and coding mode of the first signal is a high-order modulation and coding mode, and the high-order modulation and coding mode is a modulation and coding mode with an order greater than 2.

In a possible implementation manner, the moving speed of the receiving end and/or the moving speed of the sending end is greater than a preset threshold.

In a possible implementation manner, when the transmitting end is a network device, the method further includes: receiving a modulation and coding mode of the first signal from the transmitting end;

When the receiving end is a network device, the method further includes: sending a modulation and coding mode of the first signal to the transmitting end.

In a possible implementation, the filter coefficients are trained based on a filtered training signal received by the training receiving end from the training sending end when the training receiving end and/or the training sending end are in a moving state; the filtered training signal sent by the training sending end is a signal filtered based on the filter coefficients to be trained, and the training parameters of the filter coefficients to be trained are determined based on at least one of the following: a moving speed interval satisfied by the training receiving end, a moving speed interval satisfied by the moving speed of the training sending end, or at least one of the parameters of the first signal.

In a third aspect, the present application provides a communication device, which is applied to a transmitting end, and the transmitting end may be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The device may include a processing module and a transmitting module. Optionally, it may also include a receiving module.

The processing module is used to obtain the moving speed of the receiving end and/or the moving speed of the sending end.

The sending module is used to send the filtered first signal to the receiving end. The filtered first signal is obtained by filtering the first signal according to a filter coefficient, and the filter coefficient is determined according to the moving speed of the receiving end and/or the moving speed of the sending end.

In a possible implementation, the filter coefficient is determined according to a parameter of the first signal and a moving speed of the receiving end. The parameter of the first signal includes at least one of the following: a modulation coding mode of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the transmitter; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal, the moving speed of the receiving end, and the moving speed of the transmitting end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation manner, the modulation and coding mode of the first signal is a high-order modulation and coding mode, and the high-order modulation and coding mode is a modulation and coding mode with an order greater than 2.

In a possible implementation, the processing module is further configured to update the filter coefficient when it is determined that a moving speed interval in which the moving speed of the receiving end is located changes and/or a moving speed interval in which the moving speed of the transmitting end is located changes.

In a possible implementation manner, the moving speed of the receiving end and/or the moving speed of the sending end is greater than a preset threshold.

In a possible implementation manner, the sending module is further used to send first information to the receiving end, where the first information is used to indicate the filter coefficient.

In a possible implementation manner, when the transmitting end is a network device, the transmitting module is further used to send a modulation and coding mode of the first signal to the receiving end;

When the transmitting end is a terminal device, the receiving module is further used to receive the modulation and coding mode of the first signal from a network device.

In a possible implementation method, the filter coefficient is a frequency domain filter coefficient; the processing module is also used to upsample the first signal in the frequency domain, and the upsampling multiple is the overlapping coefficient of the filter corresponding to the first signal; the upsampled first signal is subjected to frequency domain filtering processing through the frequency domain filter coefficient to obtain the filtered first signal.

In a possible implementation, the filter coefficients are trained based on a filtered training signal received by the training receiving end from the training sending end when the training receiving end and/or the training sending end are in a moving state; the filtered training signal sent by the training sending end is a signal filtered according to the filter coefficients to be trained, and the training parameters of the filter coefficients are determined based on at least one of the following: a moving speed interval satisfied by the training receiving end, a moving speed interval satisfied by the moving speed of the training sending end, or at least one of the parameters of the first signal.

In a fourth aspect, the present application provides a communication device, which is applied to a receiving end, and the receiving end may be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The device may include a processing module and a receiving module. Optionally, the device may also include a sending module.

The receiving module is used to receive the filtered first signal sent by the sending end;

The processing module is used to process the filtered first signal according to a filter coefficient, where the filter coefficient is determined according to a moving speed of the receiving end and/or a moving speed of the sending end.

In a possible implementation manner, the receiving module is used to receive first information from a transmitting end, where the first information is used to indicate the filter coefficient.

In a possible implementation manner, the processing module is used to send the moving speed of the receiving end to the sending end through the sending module when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes.

In a possible implementation, the receiving module is used to receive second information from the sending end, where the second information is used to indicate updated filter coefficients, and the updated filter coefficients are determined when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes and/or the moving speed interval in which the moving speed of the sending end is located changes.

In a possible implementation method, the filter coefficient is a frequency domain filter coefficient; the processing module is used to perform frequency domain filtering on the filtered first signal through the frequency domain filter coefficient; and the filtered first signal is downsampled in the frequency domain, and the downsampling multiple is the overlap coefficient of the filter corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the receiving end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the transmitter; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal, the moving speed of the receiving end, and the moving speed of the transmitting end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation manner, the modulation and coding mode of the first signal is a high-order modulation and coding mode, and the high-order modulation and coding mode is a modulation and coding mode with an order greater than 2.

In a possible implementation manner, the moving speed of the receiving end and/or the moving speed of the sending end is greater than a preset threshold.

In a possible implementation manner, when the transmitting end is a network device, the receiving module is used to receive the modulation and coding mode of the first signal from the transmitting end;

When the receiving end is a network device, the sending module is used to send the modulation and coding mode of the first signal to the sending end.

In a possible implementation, the filter coefficients are trained based on a filtered training signal received by the training receiving end from the training sending end when the training receiving end and/or the training sending end are in a moving state; the filtered training signal sent by the training sending end is a signal filtered based on the filter coefficients to be trained, and the training parameters of the filter coefficients to be trained are determined based on at least one of the following: a moving speed interval satisfied by the training receiving end, a moving speed interval satisfied by the moving speed of the training sending end, or at least one of the parameters of the first signal.

In a fifth aspect, the present application provides a communication device, comprising a processor and a memory, wherein the memory is used to store computer-executable instructions. When the device is running, the processor executes the computer-executable instructions stored in the memory so that the device executes any of the implementation methods of the first aspect mentioned above.

In a sixth aspect, the present application provides a communication device, comprising a processor and a memory, wherein the memory is used to store computer-executable instructions. When the device is running, the processor executes the computer-executable instructions stored in the memory so that the device executes any of the implementation methods of the second aspect described above.

In a seventh aspect, the present application provides a communication device, which may be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The device may include a processor and a memory, the memory is used to store computer-executable instructions, and when the device is running, the processor executes the computer-executable instructions stored in the memory, so that the device performs any method in the implementation methods of the first aspect or the second aspect above.

In an eighth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein instructions are stored in the computer-readable storage medium, and when the computer-readable storage medium is run on a computer, the computer executes any of the implementation methods of the first to second aspects above.

In a ninth aspect, an embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is run, any of the implementation methods of the first to second aspects above is executed.

In the tenth aspect, an embodiment of the present application also provides a chip system, including: a processor, used to execute any of the implementation methods of the first aspect to the second aspect above.

In the eleventh aspect, an embodiment of the present application also provides a communication system, including a communication device as in the third aspect, the fifth aspect, or the seventh aspect, or including a communication device as in the fourth aspect, the sixth aspect, or the seventh aspect.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of the architecture of a communication system provided in an embodiment of the present application;

FIG2a is a schematic diagram of a flow chart of a filter coefficient training method provided in an embodiment of the present application;

FIG2b is a schematic diagram of a filtering process provided in an embodiment of the present application;

FIG2c is a schematic diagram of the structure of a communication device provided in an embodiment of the present application;

FIG2d is a schematic diagram of the structure of a transmitter provided in an embodiment of the present application;

FIG2e is a schematic diagram of upsampling provided in an embodiment of the present application;

FIG2f is a schematic diagram of a filtering method provided in an embodiment of the present application;

FIG2g is a schematic diagram of the structure of a receiver provided in an embodiment of the present application;

FIG3a is a schematic diagram of a training filter coefficient provided in an embodiment of the present application;

FIG. 3b to FIG. 3f are schematic diagrams of test results of a filter coefficient provided in an embodiment of the present application;

FIG4 is a flowchart of a data transmission method provided in an embodiment of the present application;

FIG5a is a schematic diagram of the structure of a transmitter provided in an embodiment of the present application;

FIG5b is a schematic diagram of the structure of a receiver provided in an embodiment of the present application;

FIG6 is a schematic diagram of a flow chart of a data transmission method provided in an embodiment of the present application;

FIG7 is a schematic diagram of a flow chart of a data transmission method provided in an embodiment of the present application;

FIG8 is a schematic diagram of a flow chart of a data transmission method provided in an embodiment of the present application;

FIG9 is a schematic diagram of a flow chart of a data transmission method provided in an embodiment of the present application;

FIG10 is a schematic diagram of the structure of a communication device provided in an embodiment of the present application;

FIG11 is a schematic diagram of the structure of a communication device provided in an embodiment of the present application;

FIG. 12 is a schematic diagram of the structure of a communication device provided in an embodiment of the present application.

Detailed ways

The communication method provided in the present application can be applied to data transmission scenarios in various wireless communication architectures. In particular, it involves data transmission scenarios involving high-speed mobile devices that support multi-carrier modulation, such as narrowband Internet of Things (NB-IoT), global system for mobile communications (GSM), enhanced data rate for GSM evolution (EDGE), wideband code division multiple access (WCDMA), code division multiple access 2000 (CDMA2000), time division-synchronization code division multiple access (TD-SCDMA), device-to-device (D2D), vehicle-to-everything (V2X), machine-to-machine (M2M) communication systems, long term evolution (LTE), LTE frequency division duplex (FDD) systems, and fifth generation (5G) mobile communication systems or new wireless (new The application scenarios of the NR (New Radio) system, such as enhanced mobile broadband (eMBB), ultra reliable low latency communication (URLLC) and enhanced machine type communication (eMTC), or applied to future communication systems or other similar communication systems, such as 6G systems. For example, it can be applied to networking scenarios such as uplink and downlink decoupling, carrier aggregation (CA), and dual connectivity (DC) in the above-mentioned communication systems.

FIG1 is a schematic diagram of the structure of a communication system provided in an embodiment of the present application, wherein the communication system includes a network device and at least one terminal device (terminals 1 to 6 as shown in FIG1 ). The network device can communicate with at least one terminal device (such as terminal 1) via an uplink (UL) and a downlink (DL). The uplink refers to a communication link from a terminal device to a network device, and the downlink refers to a communication link from a network device to a terminal device.

Optionally, both the network device and the terminal device may have multiple transmitting antennas and multiple receiving antennas, and the network device may communicate with at least one terminal device using, for example, MIMO technology.

It should be understood that there may be multiple network devices in the communication system, and one network device may provide services for multiple terminal devices. The embodiment of the present application does not limit the number of network devices and the number of terminal devices included in the communication system. The network device in FIG1 and each of some or all of the terminal devices in at least one terminal device may implement the technical solution provided in the embodiment of the present application. In addition, the various terminal devices shown in FIG1 are only some examples of terminal devices, and it should be understood that the terminal devices in the embodiment of the present application are not limited thereto.

The network device mentioned in the embodiments of the present application, also called access network device, is a device in the network used to access the terminal device to the wireless network. The network device can be a node in the wireless access network, which can also be called a base station, or a RAN node (or device). The network device may be an evolved NodeB (eNodeB) in an LTE system or an evolved LTE system (LTE-Advanced, LTE-A), or may be a next generation node B (gNodeB) in a 5G NR system, or may be a node B (NB), a base station controller (BSC), a base transceiver station (BTS), a transmission reception point (TRP), a home base station (for example, a home evolved NodeB, or a home Node B, HNB), a base band unit (BBU), a WiFi access point (AP), a relay node, an integrated access and backhaul (IAB) node, or a base station in a future mobile communication system, etc., or may be a centralized unit (CU) and a distributed unit (DU), which is not limited in the embodiments of the present application. In the separate deployment scenario where the access network equipment includes CU and DU, CU supports protocols such as radio resource control (RRC), packet data convergence protocol (PDCP), and service data adaptation protocol (SDAP); DU mainly supports radio link control (RLC) layer protocol, medium access control (MAC) layer protocol, and physical layer protocol.

The terminal device mentioned in the embodiments of the present application may be various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem with wireless communication functions. The terminal device may also be referred to as a terminal, and the terminal device may also be a subscriber unit, a cellular phone, a smart phone, a wireless data card, a personal digital assistant (PDA) computer, a tablet computer, a wireless modem, a handheld device (handset), a laptop computer, a machine type communication (MTC) terminal, etc. The terminal device may also be a vehicle or terminal-type roadside unit, or a transceiver unit or chip built into a vehicle or roadside unit.

As an example but not limitation, in the embodiments of the present application, the terminal device may also be a wearable device. Wearable devices may also be referred to as wearable smart devices or smart wearable devices, etc., which are a general term for the application of wearable technology to intelligently design and develop wearable devices for daily wear, such as glasses, gloves, watches, clothing and shoes, etc. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also powerful functions achieved through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include full-featured, large-sized, and independent of smartphones to achieve complete or partial functions, such as smart watches or smart glasses, etc., as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various types of smart bracelets, smart helmets, and smart jewelry for vital sign monitoring.

The various terminal devices introduced above, if located on a vehicle (eg, placed in or installed in a vehicle), can be considered as on-board devices, which are also called on-board units (OBU).

In the embodiment of the present application, the device for realizing the function of the terminal device is, for example, a chip, a wireless transceiver, or a chip system. The device can be installed, set, or deployed in the terminal device.

The embodiments of the present application can be applied not only to communications between terminal devices and network devices, but also to communications between network devices and network devices, communications between terminal devices and network devices, Internet of Vehicles, Internet of Things, Industrial Internet, satellite communications, etc.

It should be noted that, in the following description of the embodiments of the present application, a communication device for generating and sending a signal may also be referred to as a transmitting end communication device or a transmitting device or a transmitting end, and a communication device for receiving and parsing a signal may also be referred to as a receiving end communication device or a receiving device or a receiving end. It is understandable that in the embodiments of the present application, the communication devices are distinguished based only on the function of sending or receiving a signal, rather than any limitation on the function of the communication device.

It should be noted that the terms "system" and "network" in the embodiments of the present application can be used interchangeably. "Multiple" refers to two or more. In view of this, in the embodiments of the present application, "multiple" can also be understood as "at least two". "At least one" can be understood as one or more, for example, one, two or more. For example, including at least one means including one, two or more, and there is no restriction on which ones are included. For example, including at least one of A, B and C, then A, B, C, A and B, A and C, B and C, or A and B and C can be included. Similarly, the understanding of descriptions such as "at least one" is similar. "And/or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and/or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character "/", unless otherwise specified, generally indicates that the associated objects before and after are in an "or" relationship.

Unless otherwise specified, the embodiments of the present application mention ordinal numbers such as "first" and "second" for distinguishing between multiple objects, and are not used to limit the order, timing, priority or importance of multiple objects, and the descriptions of "first" and "second" do not limit the objects to be different.

OFDM has become the core modulation technology of mobile communication systems due to its advantages of anti-multipath fading, anti-inter-symbol interference, flexible bandwidth and high spectrum utilization. With the rapid development of high-speed transportation such as high-speed rail, the wireless channel environment has become more complex, which makes the research work of high-mobility wireless transmission technology very challenging. When the terminal device is in a mobile state, especially in high-speed mobility scenarios, refer to the moving speed of high-speed transportation such as high-speed rail, for example, take the moving speed of the terminal device greater than 100km/h as a high-speed movement as an example, the Doppler frequency deviation caused by high mobility will destroy the subcarrier orthogonality of traditional OFDM modulation, causing inter-carrier interference and causing serious performance loss.

Filter bank multi-carrier (FBMC) is a multi-carrier modulation technology. Compared with OFDM, FBMC has lower out-of-band radiation and higher spectrum efficiency.

FBMC uses a set of parallel subband filters to filter multi-carrier signals, and this set of filters is modulated by the same prototype filter. Due to the good time-frequency local characteristics of the prototype filter, FMBC can achieve good transmission performance in fading channels without adding a cyclic prefix (CP). Compared with OFDM, FBMC can significantly reduce the system's requirements for strict orthogonality of subcarriers, improve the signal's time-frequency distribution characteristics, and thus reduce the performance loss caused by Doppler frequency deviation to multi-carrier systems. However, the filter coefficients of the prototype filter are usually fixed, and it is impossible to consider the impact of channel changes on filtering performance at different speeds at the transmitter and/or receiver, resulting in greater interference between carriers.

The application is applicable to scenarios where the sender and/or the receiver may move, for example, the sender is a network device, the receiver is a terminal device, and the receiver may move, that is, the moving speed of the receiver may not be zero. For another example, the sender is a terminal device, the receiver is a network device, and the sender may move, that is, the moving speed of the sender may not be zero. Alternatively, if both the sender and the receiver are terminal devices, then both the sender and the receiver may be in a moving scenario.

In an embodiment of the present application, a training method for filter coefficients is provided, which method can be applied to the network device and terminal device in the system architecture of Figure 1. When the network device is a transmitter, it can be used as a training transmitter of the training method, and when the terminal device is a receiver, it can be used as a training receiver of the training method. Of course, it can also be executed by a server in combination with the network device and terminal device in Figure 1. Among them, the transmitter can be used for the functions possessed by the transmitter, for example, the transmitter can be a network device, or a device for realizing the functions of the network device, or a terminal device or a device for realizing the functions of the terminal device, such as a chip, a chip system, a transceiver and/or a memory. The receiving end can be used to realize the functions possessed by the receiving end, for example, the receiving end can be a terminal device, or a device for realizing the functions of the terminal device, or the receiving end can be a network device or a device for realizing the functions of the network device, such as a chip, a chip system, a transceiver and/or a memory.

As shown in FIG. 2a , the filter coefficient training method provided in the embodiment of the present application may include the following steps:

Step 201: The training transmitter obtains a training signal.

In a possible implementation, the training transmitter in the present application may be a transmitter for training filter coefficients, and correspondingly, the training receiver in the present application may be a receiver for training filter coefficients, the training transmitter may be any transmitter in FIG. 1, and the training receiver may be any receiver in FIG. 1, for example, the training transmitter may be a network device or a terminal device. The training receiver may be a network device or a terminal device, which is not limited here.

The training transmitter and the training receiver may be set in a training environment, and the training environment may be provided by simulation software to simulate an environment for sending and receiving signals between devices in the real world.

The parameters of the training environment can be determined according to the scene to be trained, or can be set based on the collected training samples. The training samples can be information collected based on the signals sent between the network device and the terminal device collected in the real environment. For example, the parameters of the signal, and the channel parameters obtained by the receiving end after estimating the received signal, such as channel feedback information, signal-to-noise ratio, etc.

The parameters of the training environment may include at least one of the following: the mobile speed of the training transmitter, the mobile speed of the training receiver, the parameters of the channel environment for sending the training signal, for example, the parameters of the channel model corresponding to the channel environment, etc. The parameters of the channel model corresponding to the channel environment may include: signal-to-noise ratio, delay spread of the channel and other parameters. This will be described in detail below and will not be repeated here. The parameters of the training environment may also include: at least one of the parameters of the training signal. Among them, the parameters of the training signal include at least one of the following: the modulation and coding method of the training signal, and the time-frequency resources corresponding to the training signal.

For example, as shown in Figure 1, the training environment includes a training sending end which is the network device shown in Figure 1, and the training environment includes a training receiving end which is the terminal device shown in Figure 1. The network device and the terminal device communicate in the training environment, and the channel environment between the network device and the terminal device can be based on a simulated environment such as a road environment, a traffic environment, a building, a bridge, a roadblock, etc., or it can be a channel environment determined based on a channel model.

For example, based on the time division multiplexing enhanced long term evolution advanced (TDL-A) channel in the multipath channel model as the channel environment in the training environment, the parameters in the channel environment may include: signal-to-noise ratio, channel delay spread and other parameters. Among them, the signal-to-noise ratio characterizes the channel quality. The delay spread of the channel characterizes the degree of interference of the channel to the signal. The greater the interference of the channel to the signal, the greater the delay spread of the channel. It should be noted that the parameters in the channel environment can be determined based on the information fed back by the receiving end during communication in the actual environment, or can be determined by the set training environment, or can be determined by other means, which are not limited here.

For example, the training samples can be parameters of the channel environment determined by channel estimation parameters, signal-to-noise ratio, and channel delay spread obtained based on signals sent between network devices and terminal devices collected in a real environment, as parameters of the channel environment in the training environment.

In order to simplify the complexity of training, a possible implementation method is that the data in the training signal can be generated by random numbers, or it can be a pilot signal, for example, a pilot signal used for channel estimation. For example, the data corresponding to the training signal can be obtained by mapping a random bit stream composed of 0 and 1 through an offset quadrature amplitude modulation (OQAM) constellation. Taking 4OQAM modulation as an example, the data of the generated training signal can be a random complex sequence composed of four complex values of +0.7071, -0.7071, +0.7071i, and -0.7071i. After generating the data corresponding to the training signal, the training signal can also be processed according to the parameters of the training signal to obtain the training signal before filtering.

Among them, the parameters of the training signal in the training environment can be determined based on the parameters of the signal in the training sample. For example, the parameters of the signal in the training sample may include: the time-frequency resources of the signal in the training sample, the modulation and coding method of the signal in the training sample, etc. Correspondingly, the parameters of the training signal in the training environment may include: the time-frequency resources of the training signal, the modulation and coding method of the training signal, etc. That is, the time-frequency resources of the training signal can be determined based on the time-frequency resources of the signal of the training sample, and the modulation and coding method of the training signal can be determined based on the modulation and coding method of the signal of the training sample.

Among them, the time-frequency resources of the training signal may include: the number of subcarriers, the number of symbols, the subcarrier spacing, the carrier frequency, etc. that carry the training signal. The time-frequency resources may be determined based on the communication system corresponding to the training transmitter and the training receiver, or may be configured by the network device for the training transmitter and the training receiver, or may be determined according to the protocol, which is not limited here.

Considering that in wireless communication, the selection of channel modulation and coding scheme will affect both channel error and transmission delay. The transmitter and receiver can determine modulation and coding methods such as adaptive modulation and coding (AMC) based on channel state information for communication. Take cellular networks such as LTE and NR as examples. In downlink communication, the terminal device measures the channel state through the reference signal sent by the base station, and feeds back the channel state (or channel quality) to the base station through the channel quality indicator (CQI). The base station determines the modulation and coding strategy (MCS) level with reference to the CQI. The MCS level corresponds to the modulation and coding scheme, and the MCS level is sent to the terminal device through the downlink control information (DCI) to indicate the MCS level that the terminal device should use. In uplink communication, the base station directly measures the channel state through the reference signal sent by the terminal device, determines the MCS level, and sends the MCS level to the terminal device through the DCI. When the channel state changes during the above channel measurement, the base station will adaptively modulate the MCS level. For example, when the channel status deteriorates, the base station will lower the MCS level to reduce the throughput on the communication link, avoid an increase in the bit error rate, and ensure the correct reception and demodulation of communication information; when the channel status improves, the base station will increase the MCS level to improve the throughput of the communication link.

Therefore, the channel environment may also be related to the modulation and coding mode of the training signal. That is, the modulation and coding mode of the training signal may be determined based on the channel environment. For example, the modulation and coding mode of the training signal corresponding to the channel quality may be determined based on the channel quality used in the training environment.

In the present application, the modulation and coding method of the training signal can be determined according to the channel state of the training environment, that is, the network device adjusts the coding method according to the MCS, or it can be the modulation and coding method configured by the network device for the training signal, or it can be determined according to the scenario to be trained or the training target, which is not limited here.

Considering that the model to be trained in the present application is used to train the filter coefficients of the receiving end and/or the transmitting end in a mobile state, the parameters of the training environment may include, in addition to the parameters of the training signal and the parameters of the channel environment, filter parameters (e.g., FBMC overlap coefficient K), training speed between the transmitting end and the receiving end (e.g., relative speed between the transmitting end and the receiving end, absolute speed of the transmitting end, absolute speed of the receiving end), etc. For example, as shown in Table 1, it is a possible example of training parameters.

Table 1

Taking the training scenario where the sending end does not move and the receiving end moves as an example, in the example of Table 1, the training environment can be a scenario where the sending end does not move and the receiving end moves at a speed of 600 km/h.

Taking the training scenario where the receiving end does not move and the sending end moves as an example, in the example of Table 1, the training environment can be a scenario where the receiving end does not move and the sending end moves at a speed of 600 km/h.

Taking the training scenario where both the receiving end and the transmitting end are moving as an example, in the example of Table 1, the training environment may be a scenario where the receiving end moves at a speed of 600 km/h relative to the transmitting end for training.

It should be noted that when the training signal is modulated by FBMC, in this example, the modulation mode of the training signal may be 4OQAM, and when the training signal is modulated by OFDM, in this example, the modulation mode of the training signal may be 16QAM. The signal-to-noise ratio in Table 1 is only an example and is not limited here.

Step 202: The training transmitter performs filtering processing on the training signal according to the filter coefficients to be trained to obtain a filtered training signal.

In the present application, the filter coefficients to be trained can be based on the filter coefficients corresponding to the filter to be trained. That is, the filter coefficients can be determined after training based on the model corresponding to the filter coefficients. The training transmitter can filter the training signal according to the model of the training transmitter, and send it to the training receiver through the channel set by the training environment. The training receiver performs a filtering recovery process on the received signal (that is, the filtered signal sent by the training transmitter) based on the model of the training receiver, and estimates the signal before filtering. Based on the estimated signal before filtering and the training signal of the training transmitter, the model corresponding to the filter coefficient can be trained. Among them, the filter coefficients in the model of the training transmitter are the same as the filter coefficients in the model of the training receiver, and are updated synchronously after each training.

Considering that the filtering process of the frequency domain filter is similar to the convolution process of the convolution kernel in the feature extraction model, in this application, the filter coefficients of the frequency domain filter can be trained by using the training method of the deep learning model to obtain a filter that is suitable for high-speed motion scenarios.

It should be noted that the feature extraction model in the present application can adopt a deep learning model, such as a neural network model. For example, the neural network model can be a convolutional neural network (CNN) model, a recurrent neural network model, etc. CNN is a deep learning network structure that has been widely used in the field of image recognition. This is a feedforward neural network, and artificial neurons can respond to surrounding units. As an example, the embodiment of the present application can use the convolution layer in the CNN model as the model corresponding to the filter to be trained. As shown in (a) in Figure 2b, it is the distribution of the training signal in the time domain before filtering, and as shown in (b) in Figure 2b, it is the distribution of the training signal in the time domain after filtering. Among them, the weight coefficient of the convolution kernel in the convolution layer is the filter coefficient of the filter to be trained. During training, the input of the convolution layer is the training signal, and the training signal can be convolved by the weight coefficient in the convolution kernel, that is, the filtering process of the filter is realized: the training signal is filtered by the filter coefficient. The output of the convolution layer is the filtering result of the training signal. The filter coefficient after learning the feature extraction model has strong generalization ability and strong adaptability to different channel environments. In the subsequent description, the feature extraction module of the CNN model is taken as an example.

For example, the transmission signal generated by the training transmitter may be a filtered training signal obtained by the transmitter after filtering the training signal based on a filter to be trained (eg, a feature extraction model to be trained).

Among them, at the beginning of the first training, the filter coefficients to be trained can be initial values, and the filter coefficients to be trained at the training sending end and the training receiving end are consistent. In some embodiments, in order to speed up the training speed of the feature extraction model, the filter coefficients of the PHYDYAS prototype filter can be used as initial values. For example, the initial value of the filter coefficient can be [0,…,0,0.2351,0.7071,0.9720,1.0000,0.9720,0.7071,0.2351,0,…,0] _L. Among them, L is the number of filter coefficients, and the number of filter coefficients can be determined according to the accuracy of the filter and the scenario in which the filter is used, and is not limited here.

Step 203: The training sending end sends the filtered training signal to the training receiving end.

Correspondingly, the training receiving end receives the filtered training signal sent by the training sending end. In the training scenario, the receiving end receives the training signal sent by the sending end after the filter to be trained performs filtering processing.

Step 204: The training receiving end performs filtering processing on the received training signal according to the filter coefficients to be trained to obtain an estimated value of the received training signal.

In the training scenario, after the training receiving end receives the training signal after filtering by the filter to be trained sent by the training sending end, it can filter the received signal through the corresponding filter to be trained, and then estimate the unfiltered training signal of the sending end to obtain the estimated value of the training signal.

Step 205: The training device trains the filter coefficients according to the training signal and the estimated value of the received training signal.

In some embodiments, in step 205, the training device may be a training transmitter, a training receiver, or a device or component for training filter coefficients, which is not limited here.

In one possible implementation, after step 201, the training transmitter may send a training signal to the training device, and after step 204, the training receiver may send an estimated value of the received signal to the training device, so that the training device trains the filter coefficients according to the training signal and the estimated value of the received signal.

Step 206: The training device updates the filter coefficients to be trained at the training transmitter and the training receiver.

For example, the training device can determine the loss function of the training model based on the training signal and the estimated value of the training signal. When it is determined that the loss function does not meet the convergence condition, the filter coefficients to be trained can be adjusted according to the loss function, and the adjusted filter coefficients can be sent to the training sending end and the training receiving end. At this point, a training process ends.

For example, as shown in FIG3a, after the receiving end determines the signal estimation value, the training device can determine the loss function Loss of the filter coefficient to be trained, and the loss function can be a function with the filter coefficient as a parameter. For example, the loss function Loss satisfies:

Where M represents the number of subcarriers in the frequency domain, and N represents the number of symbols in the time domain. The training signal sent by the training transmitter is S _m,n . After the training receiver processes the received signal through the recovery filter of the filter to be trained, the estimated value of the signal on the nth symbol of the mth subcarrier before constellation demapping can be obtained.

In one possible implementation, the training device can use the Adam optimizer to minimize the loss function Loss to obtain the adjustment value of the filter coefficient to be trained. For example, the loss function can be derived, and the filter coefficient can be moved in the opposite direction of the derivative to obtain the adjustment value of each filter coefficient. When the training is finally completed, the signal received by the training receiving end can be regarded as consistent with the training signal before filtering by the training sending end after being restored by the filter, that is, the interference of the channel can be ignored. At this time, the performance of the filter is optimal.

Of course, the training device can also minimize the loss function in other ways, for example, by using a back propagation algorithm and a stochastic gradient descent (SGD) optimization algorithm to iterate the training so that the filter coefficients converge after multiple trainings. When the loss function value converges, it is determined that the filter coefficient training is completed.

In some embodiments, the training device may be a training transmitter, for example, the training receiver sends the estimated value of the received signal to the transmitter, and the training transmitter may train the filter coefficients according to the training signal and the estimated value of the received signal. After a training process is completed, the training transmitter may send the adjusted filter coefficients to the training receiver, so that the training receiver updates its own filter coefficients for the next training.

In other embodiments, the training device may also be a training receiving end. For example, the training receiving end may obtain a training signal in advance and train the filter coefficients according to the training signal and the estimated value of the received signal. After a training process is completed, the training receiving end may send the adjusted filter coefficients to the sending end, so that the training sending end updates its own filter coefficients for the next training.

Repeat the above training process, and when it is determined that the loss function of the training model meets the convergence condition, it can be determined that the filter coefficient training is completed. The convergence condition can be that the value of the loss function of the training model is less than a preset threshold. The preset threshold can be determined according to the training goal and is not limited here.

The trained filter coefficients can be used as the trained filter coefficients used by the transmitter and the receiver in a scenario matching the training scenario.

Please refer to Figure 2c, which is a schematic diagram of the structure of a device for signal transmission in the present application. As shown in Figure 2c, the device includes a radio frequency unit (RF unit), a transmission module (Tx module), a receiving module (Rx module), a processor (processor) and a memory (memory), wherein the Tx module transmits the signal to be transmitted to the RF unit for transmission, and the Rx module receives the signal from the RF unit and transmits it to the processor for further processing, such as synchronization, channel estimation, channel equalization, etc.

The transmitting end may be used to generate a training signal, wherein the training signal may be a demodulation reference signal, a pilot signal for channel estimation, or a training signal for training filter coefficients, etc. In this case, the transmitting end may be a training transmitting end.

In a possible implementation, the transmitting end may be an FBMC transmitter. As shown in FIG2d, it is a schematic diagram of the structure of an FBMC transmitter provided by the present application. The FBMC transmitter may include a constellation mapping module, an OQAM module, a comprehensive filter bank module, a parallel/serial (P/S) converter, a radio frequency (RF) module and an antenna.

One implementation of FBMC is to use OFDM-OQAM, where OFDM-OQAM is specifically an OFDM signal modulated based on OQAM, and OFDM-OQAM can also be called FBMC or FBMC-OQAM.

An OFDM symbol is also called a block. Communication devices (such as terminal devices and network devices) can communicate through a single channel or multiple channels. Resource units are also called resource blocks (RBs). In a possible implementation, when communicating through a 60GHz WLAN, the width of each channel is 2.16GHz, and the spectrum resources of each channel may include 4 resource units, each of which may correspond to 128 subcarriers; when the channel width is 2*2.16GHz, that is, when communicating through 2 channels, the spectrum resources of each channel may include 8 resource units, each of which may correspond to 256 subcarriers; when the channel width is 3*2.16GHz, that is, when communicating through 3 channels, the spectrum resources of each channel may include 12 resource units, each of which may correspond to 384 subcarriers; when the channel width is 4*2.16GHz, the spectrum resources of each channel may include 16 resource units, each of which may correspond to 512 subcarriers.

For example, the transmission signal can be first encoded to obtain a bit information stream. Then, after passing through the Mapping module, the bit information stream is subjected to OQAM constellation mapping. After constellation mapping, the transmission signal can be M symbols transmitted on N subcarriers, that is, the transmission signal includes M subcarriers in the frequency domain and N symbols in the time domain. For example, the training signal on the nth symbol of the mth subcarrier can be expressed as S _m,n , m=1,2,…,M,n=1,2,…,N. Among them, M and N represent the number of subcarriers in the frequency domain and the number of symbols in the time domain, respectively. Taking 4OQAM modulation as an example, when the data is a random number sequence composed of 0 and 1, the training signal after 4OQAM modulation can be a random complex number sequence composed of four complex values of +0.7071, -0.7071, +0.7071i, and -0.7071i.

In addition, the real and imaginary parts of the complex signal can be separated by the OQAM module. The time interval between the real and imaginary outputs can be half of the symbol period T. For two adjacent subcarriers, a timing offset of T/2 is introduced on the real part of the previous symbol, and a timing offset of T/2 is introduced on the imaginary part of the next symbol. This allows OFDM-OQAM to send pure real or pure imaginary OQAM symbols. Based on the input of the OQAM modulated symbols to the filter, N subcarriers can be modulated, where the interval between each two subcarriers is 1/T. Accordingly, when demodulating at the receiving end, the real and imaginary parts can be processed separately, which is conducive to better removal of interference signals or noise. In addition, based on the real domain orthogonal characteristics of the prototype filter after OQAM modulation, the orthogonality of the transmitted signal in the frequency domain and time domain can be better achieved.

In the present application, the filter to be trained is a frequency domain filter. In this case, the integrated filter bank module may include: an upsampling module, a frequency domain filter module and a fast Fourier transformation (FFT) module.

FIG2e exemplarily shows a schematic diagram of the distribution structure of a training signal in the time domain and the frequency domain provided by an embodiment of the present invention. As shown in FIG2e, the horizontal axis represents the time domain, and the vertical axis represents the frequency domain. In the time domain and frequency domain, the training signal can be randomly dispersed on the time-frequency resources. In the upsampling process, the transmitting end can determine the sampling multiple of the upsampling by the overlapping coefficient of FBMC in the frequency domain for the training signal. Among them, the upsampling method can be to expand the subcarrier occupied by the signal on each subcarrier by multiples of the overlapping coefficient K of FBMC in the frequency domain. For example, as shown in FIG2e, when K is 4, after upsampling, the training signal S ₁ n corresponds to the occupied subcarrier 1, the bit value corresponding to the training signal on subcarrier 2 is 0, the bit value corresponding to the transmitted signal on subcarrier 3 is 0, and the bit value corresponding to the training signal on subcarrier 4 is 0. The transmitted signal S ₂ n corresponds to the occupied subcarrier 4, the bit value corresponding to the training signal on subcarrier 5 is 0, the bit value corresponding to the training signal on subcarrier 6 is 0, and the bit value corresponding to the training signal on subcarrier 7 is 0.

The signal filtering in the frequency domain can be realized by the frequency domain filter module. According to the upsampled training signal S ₀₀ , …, S _mn , …, S _Mn , they are multiplied with the filter coefficients and then summed. The process of multiplication and summation can be understood as the process of convolution of the upsampled training signal by the convolution kernel. The size of the convolution kernel can be 1*T. T is the number of filter coefficients, and the number of filter coefficients can be determined according to the accuracy of the filter and the scenario in which the filter is used, and is not limited here. The weight coefficient of the convolution kernel can be the filter coefficient.

As shown in Figure 2f, for example, when the filter coefficients are composed of 7 non-zero values, the filter coefficients can refer to this example for other numbers. Correspondingly, the size of the convolution kernel is 1*7, that is, Q=[Q3, Q2, Q1, Q0, Q1, Q2, Q3], where Q is the filter coefficient set of the frequency domain filter, Q3, Q2, Q1, Q0, Q1, Q2, Q3 are 7 filter coefficients respectively, and the filter coefficient set can be symmetric about the center. The filtered signal _Xmn corresponding to the convolution of the upsampled training signal _Smn ~S _(m+6)n can be expressed as:

_Xmn = _Smn *Q3 + S _(m+1)n *Q2 + S _(m+2)n *Q1 + S _(m+3)n *Q0 + S _(m+4)n *Q1 + S _(m+5)n *Q2 + S _(m+6)n *Q3;

In conjunction with the example in FIG. 2f , the filtered training signal X ₁₁ corresponding to the up-sampled training signals S ₁₁ -S ₇₁ after convolution can be expressed as:

_X11 = _S11 *Q3 + _S21 *Q2 + _S31 *Q1 + _S41 *Q0 + _S51 *Q1 + _S61 *Q2 + _S71 *Q3;

The filter coefficient can be understood as a weighted coefficient. Different values of the filter coefficient will result in different results of filtering the training signal. In order to reduce the impact of spectrum offset under high-speed terminal movement, the filter coefficient can be trained to optimize the value of the filter coefficient before data transmission.

The filtered training signal is modulated by the IFFT module and converted into a serial time domain signal for transmission. In the frequency domain, the filter coefficients of different data signals are the same, that is, the frequency domain expansion method is the same on all subcarriers, so the orthogonality of the filtered signal can be guaranteed.

Taking FBMC modulation as an example, the transmitting end may include an FBMC receiver, wherein the structure of the FBMC receiver can refer to the structural diagram of the above-mentioned FBMC transmitter, as shown in Figure 2g, which is a structural diagram of an FBMC receiver provided by the present application. The FBMC receiver includes a decoding module, an OQAM module, an analysis filter group module, a serial-to-parallel converter, a radio frequency module and an antenna.

Wherein, when FBMC is frequency domain filtering, the analysis filter bank module may include: a downsampling module, an equalizer, a frequency domain filter module and an FFT module. The signal processing process of the FBMC receiver is the inverse process of the signal processing of the FBMC transmitter.

After receiving the signal, the receiving end converts the time domain received signal after serial-to-parallel conversion back to the frequency domain through FFT. After the frequency domain signal passes through the frequency domain filter and downsampling module matched with the transmitting end, the pilot signal and data signal are obtained. Among them, the downsampling module corresponds to the upsampling module. By filtering the received signal after the frequency domain filter, the subcarrier occupied by the signal on the subcarrier in the frequency domain is reduced to 1/K times. For example, when K is 4, after downsampling, the received signal _X1n ~ _X4n corresponds to occupying the first subcarrier, as the signal _X'1n on the first subcarrier after downsampling. The received signal _X5n ~ _X7n corresponds to occupying the second subcarrier, as the signal _X'2n on the second subcarrier after downsampling. Thus, the downsampled signal _X'MN is obtained.

After the training signal is transmitted through the channel, the receiving end can estimate the channel based on the received signal, taking into account the influence of the channel on the training signal. The method for estimating the channel can be based on a multipath channel model. For example, the time domain multipath channel matrix Ht and the frequency domain multipath channel matrix H satisfy:

H＝FH _t F ^H

Where F is a discrete Fourier transform matrix of size M*M; combined with the above example, when the number of subcarriers is 256, Ht is a 256*256 lower triangular matrix. The main diagonal or subdiagonal of Ht can be used to represent the resolvable delay path of the TDL-A channel in the multipath channel model. The greater the interference of the channel to the signal, the more the number of resolvable delay paths is, and the greater the delay spread of the channel is.

The receiver can process the received signal through FFT and then pass it through an equalizer to reduce or eliminate ISI. There can be multiple equalizers, each of which corresponds to a tap coefficient. The equalized signal can then be processed by a corresponding filter.

In a possible implementation, the receiving end may adopt a single-tap equalization method, that is, the equalizer may use the diagonal elements {h ₁₁ , h ₂₂ , …h _MM } of the frequency domain multipath channel matrix H to equalize the received signal. The equalization matrix corresponding to the equalizer at the receiving end satisfies:

G _{one_tap} = diag{g ₁₁ ,q ₂₂ ,…g _MM }

Among them, the balanced matrix is a diagonal matrix, and the diagonal elements satisfy:

Among them, conj(·) represents the complex conjugate, |·| represents the modulus of the complex number, Represents the Gaussian white noise power at the receiving end.

The essence of equalizing the data signal is to adjust the amplitude of the received signal through the tap coefficient of the equalizer. An equalizer can include at least one tap coefficient. In addition, a multi-level equalizer can be set, and each level of the equalizer corresponds to at least one tap coefficient. The equalized signal and the signal before and after equalization satisfy the following formula:

Output[m*n]＝Index[1]*Input[m*n-i+1]+Index[2]*Input[m*n-i+2]+…+Index[i]*Input[m*n]

Wherein, Index[i] represents the i-th tap coefficient of the equalizer, Input[m*n] represents the m*n-th signal input to the equalizer, for example, the received training signal X' _mn , and Output[n] represents the m*n-th output signal.

It can be understood that the equalizer is generally based on a tapped delay line model, and the tap coefficient can be understood as a weighting coefficient. Different values of the tap coefficient will result in different results of signal equalization.

After the receiving end performs tap equalization and the filter to be trained on the received signal through the equalization matrix, the estimated value of the signal _X'mn on the nth symbol of the mth subcarrier before constellation demapping can be obtained. In some embodiments, the training device may estimate the channel based on the estimated value.

For example, as shown in FIG3a, after the receiving end determines the signal estimation value, the training device can determine the loss function Loss of the filter coefficient to be trained. For example, the loss function Loss satisfies:

Wherein, M represents the number of subcarriers in the frequency domain, and N represents the number of symbols in the time domain. In one possible implementation, the training device can minimize the loss function Loss using the Adam optimizer. Of course, the training device can also minimize the loss function in other ways, for example, by using the back propagation algorithm and the stochastic gradient descent (SGD) optimization algorithm to iteratively train the filter coefficients repeatedly, so that the loss function value converges after multiple trainings. When the loss function value converges, it is determined that the filter coefficient training is completed.

The performance of the trained filter coefficients is illustrated below with specific examples.

Example 1: training is performed with the parameters in Table 1, that is, the filter coefficients are trained based on a low-order modulation method.

Compared with the untrained OFDM modulation or the FBMC modulation of the prototype filter, the performance of the terminal device in different mobile scenarios can be shown in (a) of Figure 3b. (b) of Figure 3b includes the bit error rate curves of the received signal when the OFDM filter is used at the transmitter and the receiver in the test channel of 300km/h and 600km/h.

(c) in FIG. 3b includes bit error rate curves of the transmitter and receiver using the PHYDYAS filter (FBMC-P) tested in the test channel at 300 km/h and 600 km/h.

(d) in FIG. 3b includes bit error rate curves of the transmitter and receiver using the Hermite filter (FBMC-H) tested in the test channels of 300 km/h and 600 km/h.

(e) in FIG3b includes bit error rate curves of the transmitter and receiver using the trained filter (FBMC-T) tested in the test channel at 300 km/h and 600 km/h. The trained filter is a filter (FBMC-T) trained in a training environment with a mobile speed of 600 km/h and a low-order modulation mode.

As can be seen from Figure 3b, in the test channels of 300 km/h and 600 km/h, the bit error rate of the signal obtained by the modulation method of the trained filter is lower than the bit error rate of the signal obtained by the modulation method of the PHYDYAS filter FBMC, the bit error rate of the signal obtained by the modulation method of the Hermite filter FBMC, and the bit error rate of the signal obtained by the OFDM modulation method.

In addition, the results of the test channels with different mobile speeds (300km/h and 600km/h) also show that compared with the untrained filter, when the filter coefficients are trained with a single mobile speed, the performance of the filter can be improved even if the mobile speed of the transmitter or receiver is different from the mobile speed used during training. That is, the filter coefficients trained with a single mobile speed still have good robustness when the mobile speed changes.

Example 2: Train the filter coefficients for different moving speeds. For example, the moving speeds to be trained include 100, 300, and 600 km/h. At this time, the training device can train a set of filter coefficients based on 100 km/h, and the training device can train a set of filter coefficients based on 300 km/h. The training device can train a set of filter coefficients based on 600 km/h. As shown in Table 2.

Table 2

Number of subcarriers 256 Number of symbols 16 Modulation 4OQAM Subcarrier spacing 15kHz Carrier frequency 4GHz Moving speed [km/h] 100,300,600 Signal-to-Noise Ratio 20dB FBMC overlap coefficient 4

The test is based on the three sets of trained filter coefficients. As shown in (a) of FIG3c , in the scenario where the moving speed of the transmitter or receiver is 100 km/h, 300 km/h or 600 km/h, the bit error rate curve of the received signal at the receiver is obtained after the transmitted signal is filtered using the three sets of filter coefficients respectively.

As shown in (b) of FIG3c , the bit error rate curve is obtained by testing the filter coefficients trained at a moving speed of 600 km/h in scenarios where the moving speed of the transmitting end or the receiving end is 100 km/h, 300 km/h or 600 km/h.

As shown in (c) of FIG. 3c , the bit error rate curve is obtained by testing the filter coefficients trained at a moving speed of 300 km/h in a scenario where the moving speed of the transmitting or receiving end is 100 km/h, 300 hm/h or 600 km/h.

As shown in (d) of FIG3c , the bit error rate curve is obtained by testing the filter coefficients trained at a moving speed of 100 km/h in a scenario where the moving speed of the transmitting end or the receiving end is 100 km/h, 300 km/h or 600 km/h.

As can be seen from Figure 3c, the three sets of filter coefficients trained at different mobile speeds have similar bit error rates in the test channel at the same mobile speed. The three sets of filter coefficients trained at a mobile speed of 100km/h, 300km/h or 600km/h have similar bit error rates for the signals obtained in the test channel at 100km/h. The three sets of filter coefficients have similar bit error rates for the signals obtained in the test channel at 300km/h. The three sets of filter coefficients have similar bit error rates for the signals obtained in the test channel at 600km/h. This shows that the filter coefficients trained based on low modulation orders have a certain robustness to mobile speed, and there is no need to train the filter coefficients accordingly for each mobile speed.

In the present application, the low-order modulation order is 2nd order, and the high-order modulation order is a modulation order greater than 2nd order for explanation. That is, the modulation mode corresponding to the low-order modulation order is 4OQAM or 4QAM. The high-order modulation mode is 16OQAM or 16QAM, 32OQAM or 32QAM, 64OQAM or 64QAM, etc. Of course, the order of the high-order modulation coding mode can also be greater than or equal to other preset values, for example, other preset values can be 2nd order, 3rd order, 4th order, etc.

For low-order modulation scenarios, the mobile speed of the receiving end has little effect on the trained filter coefficients. Therefore, in scenarios where low-order modulation is used to send data, the filter coefficients trained at a pre-set mobile speed can be used to meet the performance requirements of the filter at different mobile speeds of the receiving end, thereby reducing the training overhead.

Considering that the requirements for filter performance when sending data may vary according to business needs, after the filter coefficients are trained, the filter coefficients can be tested to obtain whether the performance requirements of the filter and the possible range of the mobile speed of the sender or receiver in the business scenario meet the performance requirements of the filter when the low-order modulation order sends the data signal. Alternatively, the acceptable range of the mobile speed of the sender or receiver can also be determined.

For example, during the training process, the training is performed at 600 km/h. During the test process, it is possible to determine whether the bit error rate of the received signal meets the requirements within the range of the mobile speed according to the possible range of the mobile speed of the receiving end in the business scenario, for example, [0,2400] km/h. Alternatively, according to the bit error rate of the received signal, it is determined that the acceptable range of the mobile speed of the receiving end is [100,1200] km/h. Thus, the conditions for the application of the trained filter coefficients are determined, such as the applicable business, or the applicable mobile speed of the receiving end.

Therefore, when the transmitting end or the receiving end determines that the transmitted data meets the conditions for the applicability of the trained filter coefficients, the filter coefficients are used to filter the signal of the data to be transmitted, so as to improve the transmission performance of the signal of the data to be transmitted.

Example 3: The filter coefficients are trained respectively according to the parameters of different multipath channel models.

Considering that the time domain multipath channel matrix Ht and the frequency domain channel matrix H satisfy:

H＝FH _t F ^H

Wherein, F is a discrete Fourier transform matrix of size M*M; combined with the above example, Ht is a 256*256 lower triangular matrix. Each resolvable delay path of the TDL-A channel in the multipath channel model is represented by the main/secondary diagonal of Ht. The greater the delay spread of the channel, the more resolvable delay paths there are, and the greater the interference of the channel to the signal. It should be noted that in the present application, the coefficients on each resolvable delay path (main/secondary diagonal) can be generated by the Jakes spectrum model while considering the maximum Doppler frequency deviation caused by the moving speed between the receiving end and the transmitting end. For example, the trained delay spread parameter values may include: 50ns and 300ns. Accordingly, the training device can train a set of filter coefficients based on 50ns, and the training device can train a set of filter coefficients based on 300ns. The values of the parameters of the training environment can be as shown in Table 3.

table 3

Number of subcarriers 256 Number of symbols 16 Modulation 4OQAM Subcarrier spacing 15kHz Carrier frequency 4GHz Multipath channel model TDL-A Moving speed 600km/h Delay Spread 50ns,300ns Signal-to-Noise Ratio 20dB FBMC overlap coefficient 4

Based on the two sets of trained filter coefficients, the test is performed. As shown in (a) of FIG3d , in the scenarios where the mobile speed of the transmitter or receiver is 600 km/h and the delay spread is different, the bit error rate curve of the received signal at the receiver is obtained after the transmitted signal is filtered using two sets of filter coefficients.

As shown in (b) of FIG. 3d , the delay spread of the test channel is 300 ns, and the bit error rate curve is obtained by testing the filter coefficients trained in the training environment with a delay spread of 50 ns.

As shown in (c) of FIG. 3d , the delay spread of the test channel is 50 ns, and the bit error rate curve is obtained by testing the filter coefficients trained in the training environment with a delay spread of 300 ns.

As shown in (d) of FIG. 3d , the delay spread of the test channel is 50 ns, and the bit error rate curve is obtained by testing the filter coefficients trained in the training environment with a delay spread of 50 ns.

As shown in (e) of FIG. 3d , the delay spread of the test channel is 300 ns, and the bit error rate curve is obtained by testing the filter coefficients trained in the training environment with a delay spread of 300 ns.

It can be seen from Figure 3d that the bit error rates of the filter coefficients trained under different delay spread parameters are similar, and when the filter coefficients trained under the same delay spread parameters are applied to different delay spread scenarios, the bit error rates of the signals are similar, indicating that the filter coefficients trained under low modulation orders are robust to channel changes.

Example 4, the filter coefficients are trained for different modulation orders. For example, the trained modulation orders may include 4OQAM and 16OQAM, etc. At this time, the training device can train a set of filter coefficients according to 4OQAM, and the training device can train a set of filter coefficients according to 16OQAM. The training parameters are shown in Table 4. At a moving speed of 600km/h, two sets of filter coefficients are trained by 4OQAM and 16OQAM modulation modes, respectively, and the bit error rate of the two sets of filter coefficients is tested at a moving speed of 600km/h. The test results are shown in (a) of Figure 3e, which show the test results of the filter coefficients trained under the modulation mode of 4OQAM using different modulation modes to send and receive signals at a moving speed of 600km/h, and the filter coefficients trained under the modulation mode of 16OQAM using different modulation modes to send and receive signals at a moving speed of 600km/h.

Table 4

Number of subcarriers 256 Number of symbols 16 Modulation 4OQAM,16OQAM Subcarrier spacing 15kHz Carrier frequency 4GHz Moving speed 600km/h Signal-to-Noise Ratio 20dB FBMC overlap coefficient 4

As shown in (b) of FIG. 3e , in scenarios where the modulation modes of the test signal are 4OQAM and 16OQAM, a bit error rate curve is obtained by testing the filter coefficients trained using a 4OQAM training signal.

As shown in (c) of FIG. 3c , in scenarios where the modulation modes of the test signal are 4OQAM and 16OQAM, a bit error rate curve is obtained by testing the filter coefficients trained using a 16OQAM training signal.

It can be seen from FIG. 3e that when filter coefficients trained with different modulation orders are used at the same mobile speed, the bit error rate performance of the received signal can still be guaranteed.

Example 5, the filter coefficients are trained for high-order modulation orders and different mobile speeds. For example, the trained modulation orders may include 16OQAM, etc. The trained mobile speeds may include 100, 300 and 600 km/h, etc. At this time, the training device can train a set of filter coefficients at 16OQAM according to 100 km/h, and the training device can train a set of filter coefficients at 16OQAM according to 300 km/h. The training device can train a set of filter coefficients at 16OQAM according to 600 km/h. For example, the training parameters can be shown in Table 5, and the test results are shown in Figure 3f.

table 5

Number of subcarriers 256 Number of symbols 16 Modulation 16OQAM Subcarrier spacing 15kHz Carrier frequency 4GHz Moving speedkm/h 100, 300, 600 Signal-to-Noise Ratio 20dB FBMC overlap coefficient 4

As shown in (a) of FIG. 3f, the test results of the received and transmitted signals under the test channel at different mobile speeds using the filter coefficients corresponding to different mobile speeds trained under the modulation mode of 16OQAM are shown. For example, when the test channel corresponds to a mobile speed of 100 km/h, the three sets of filter coefficients after training are used for testing. When the test channel corresponds to a mobile speed of 300 km/h, the three sets of filter coefficients after training are used for testing. When the test channel corresponds to a mobile speed of 600 km/h, the three sets of filter coefficients after training are used for testing.

As shown in (b) of FIG3f , the bit error rate curve is obtained by testing the filter coefficients trained at a moving speed of 300 km/h in scenarios where the moving speed of the transmitting or receiving end is 100 km/h, 300 km/h or 600 km/h.

As shown in (c) of FIG. 3f , the bit error rate curve is obtained by testing the filter coefficients trained at a moving speed of 100 km/h in a scenario where the moving speed of the transmitting end or the receiving end is 100 km/h, 300 km/h or 600 km/h.

As shown in (d) of FIG. 3f , the bit error rate curve is obtained by testing the filter coefficients trained at a moving speed of 600 km/h in a scenario where the moving speed of the transmitting end or the receiving end is 100 km/h, 300 km/h or 600 km/h.

Through the test results, it can be determined that when the filter coefficients trained with different modulation orders are used at the same mobile speed, the bit error rate performance of the received signal can still be guaranteed. In addition, compared with the example of Figure 3c, it can be seen that when a high-order modulation order is used, the mobile speed has a greater impact on the bit error rate performance of the signal than in the scenario of a low-order modulation order.

The data transmission method provided by the embodiment of the present application is described below in conjunction with the accompanying drawings. Please refer to Figure 4, which is a flow chart of the method. In the following introduction, the method is applied to the communication system shown in Figure 1 as an example. In addition, the method can be performed by two communication devices, such as a transmitting end and a receiving end. It includes:

Step 401: The transmitting end obtains a first signal.

The first signal may be a signal to be sent. The signal may include a pilot signal and a data signal, and the data signal may be used to carry data to be parsed by the receiving end. The pilot signal may be a demodulation reference signal, a pilot signal for channel estimation, a training signal, and the like.

The parameters of the first signal may include: a modulation and coding mode of the first signal, a time-frequency resource corresponding to the first signal, etc. For example, the first signal may be determined under parameters of the first signal such as a preset modulation and coding mode, a preset time-frequency resource (the number of subcarriers carrying the training signal, the number of symbols, the subcarrier spacing, and the carrier frequency), or may be determined based on the channel state between the transmitting end and the receiving end and the allocatable time-frequency resources.

There are many ways that the transmitting end and the receiving end may determine the modulation and coding method of the first signal, which are described below using scenarios 1 to 3 as examples.

Scenario 1, taking the transmitting end as a network device and the receiving end as a terminal device as an example, the modulation and coding method of the first signal can be determined when the network device and the terminal device establish a connection, or it can be determined after the connection is established. For example, the modulation and coding method of the first signal can be sent to the terminal device through downlink control signaling when the network device configures resources for the terminal device. Considering the scenario of using the modulation and coding strategy, the network device can determine the MCS level based on the CQI reported by the terminal device, and the network device can send the MCS level to the terminal device through downlink control information (DCI) to indicate the MCS level that the terminal device should use. Thus, the network device and the terminal device can determine the modulation and coding method of the first signal. For another example, the modulation and coding method of the first signal can also be sent to the terminal device by the network device through high-level signaling to the terminal device, or it can be determined according to the method specified by the protocol, which is not limited here.

In scenario 2, taking the sending end as a terminal device and the receiving end as a network device as an example, the modulation and coding method of the first signal can be determined when the network device and the terminal device establish a connection, or can be determined after the connection is established. The network device can send the modulation and coding method of the first signal to the terminal device. For details, please refer to the above example where the sending end is a network device and the receiving end is a terminal device.

Scenario 3, taking the transmitting end as a terminal device and the receiving end as a terminal device as an example, the modulation and coding mode of the first signal can be determined when the terminal device and the terminal device establish a sidelink connection, or can be configured for the transmitting end and the receiving end based on the network device after the sidelink connection is established. Taking the transmitting end as terminal device 1 and the receiving end as terminal device 2 as an example, terminal device 1 establishes a connection with the network device. At this time, the network device can send the modulation and coding mode of the first signal to terminal device 2 through terminal device 1. Specifically, it can include: the network device indicates the modulation and coding mode of the first signal to terminal device 1 through downlink control signaling, and after receiving the downlink control signaling, terminal device 1 determines the modulation and coding mode of the first signal, and sends the modulation and coding mode of the first signal to terminal device 2 through the sidelink. For example, the modulation and coding mode of the first signal can be carried in the sidelink control signaling.

Step 402: The transmitting end filters the first signal according to the filter coefficient to obtain a filtered first signal.

The transmitting end may select the trained filter coefficients as the filter coefficients for filtering the first signal when the moving speed of the transmitting end and/or the moving speed of the receiving end is greater than a preset threshold.

The preset threshold value may be determined according to actual needs, for example, the preset threshold value may be 0, or may be other values, for example, the preset threshold value is 50 km/h. That is, when the moving speed of the transmitting end is greater than 0, or the moving speed of the receiving end is greater than 0, the trained filter coefficient is selected as the filter coefficient for filtering the first signal.

For another example, preset thresholds may be set according to the types of the transmitter and the receiver. For example, a transmitter moving speed threshold, a receiver moving speed threshold, and a relative moving speed threshold between the transmitter and the receiver may be set. When the moving speed of the transmitter is greater than the transmitter moving speed threshold, the trained filter coefficient is selected as the filter coefficient for filtering the first signal. Alternatively, when the moving speed of the receiver is greater than the receiver moving speed threshold, the trained filter coefficient is selected as the filter coefficient for filtering the first signal. For another example, when the relative moving speed between the transmitter and the receiver is greater than the relative moving speed threshold between the transmitter and the receiver, the trained filter coefficient is selected as the filter coefficient for filtering the first signal.

In some embodiments, the transmitting end selects the trained filter coefficients to filter the first signal, which may be determined based on the parameters of the first signal sent by the transmitting end and the receiving end, or determined by the transmitting end determining the moving speed of the transmitting end and/or the moving speed of the receiving end (determining that the transmitting end is in a moving state and/or the receiving end is in a moving state), or may be a method pre-agreed by the transmitting end and the receiving end, or may be determined based on the scene in which the transmitting end and the receiving end are located or the type of the receiving end, which is not limited here. The following is an example of method A1-method A3. For specific scenarios, please refer to the introduction of scenarios 1-3 below, which will not be repeated here.

Mode A1, the trained filter coefficients are determined according to the parameters of the first signal.

The trained filter coefficients may be obtained after training under training parameters that match the parameters of the first signal.

In some embodiments, the trained filter coefficients are determined according to a modulation and coding scheme of the first signal.

In one possible manner, after determining the modulation coding mode of the first signal, a training signal corresponding to the modulation coding mode of the first signal may be determined, and the filter coefficients trained corresponding to the training signal may be determined accordingly. For example, when the modulation mode of the first signal is 4OQAM, it may be determined that the training signal may correspond to the training signal in Table 1 or Table 3, and the corresponding trained filter coefficients may be the filter coefficients trained in Table 1 or Table 3.

In some other embodiments, the trained filter coefficients are determined according to a modulation and coding scheme of the first signal and a time-frequency resource of the first signal.

In one possible way, after determining the modulation and coding mode of the first signal and the time-frequency resources (the number of subcarriers, the number of symbols, the subcarrier spacing, the carrier frequency, etc.) corresponding to the first signal, the training signal corresponding to the modulation and coding mode of the first signal, the number of subcarriers, the number of symbols, the subcarrier spacing, and the carrier frequency can be determined, and the filter coefficients corresponding to the training of the training signal can be determined accordingly. For example, when the number of subcarriers of the first signal is 256, the number of symbols is 16, the modulation mode is 4OQAM, the subcarrier spacing is 15kHz, and the carrier frequency is 4GHz, it can be determined that the training signal can correspond to the training signal in Table 1 or Table 3, and the corresponding trained filter coefficients can be the filter coefficients trained in Table 1 or Table 3.

In mode A2, the trained filter coefficients may also be determined based on the parameters of the first signal, the moving speed of the receiving end, and the moving speed of the transmitting end. Alternatively, the filter coefficients are determined based on the parameters of the first signal and the moving speed of the receiving end; or, the filter coefficients are determined based on the parameters of the first signal and the moving speed of the transmitting end.

In some embodiments, the trained filter coefficients may be determined according to a modulation and coding scheme of the first signal.

For example, when the modulation coding mode of the first signal is a low-order modulation mode, filter coefficients obtained by training under any training parameters can be selected as filter coefficients of the first signal.

In other embodiments, the trained filter coefficients may be determined according to a modulation and coding scheme of the first signal, a moving speed of the receiving end, and/or a moving speed of the transmitting end.

For example, when the modulation coding mode of the first signal is a high-order modulation mode, the filter coefficients trained at the moving speed can be determined according to the moving speed of the receiving end and/or the moving speed of the sending end. The filter coefficients trained in the moving speed interval can also be determined according to the moving speed interval satisfied by the moving speed of the receiving end and/or the moving speed of the sending end.

For example, when the mobile speed of the receiving end is 600 km/h, the filter coefficients obtained by training in the training environment with the mobile speed of the receiving end being 600 km/h can be selected. Other parameters of the training environment (e.g., modulation coding mode, channel parameters, etc.) may be different from the parameters of the first signal.

For another example, when the mobile speed of the receiving end is 600 km/h, it can be determined that the mobile speed satisfies the mobile speed interval of [500,700] km/h, so the training environment can be selected to obtain the filter coefficients trained under the mobile speed satisfying the mobile speed interval of [500,700] km/h. Other parameters of the training environment (e.g., modulation and coding mode, channel parameters, etc.) may be different from the parameters of the first signal.

In mode A3, the trained filter coefficients may also be filter coefficients obtained after training under training parameters different from the parameters of the first signal.

In a possible scenario, when at least one of the parameters of the first signal has little effect on the performance of the trained filter coefficients, the filter coefficients trained under training parameters different from at least one of the parameters of the first signal can be selected. For example, considering that when the mobile speed of the receiving end is the same as the mobile speed of the training receiving end, the modulation and coding method of the first signal has little effect on the performance of the filter, at this time, the filter coefficients can be obtained after training based on a training signal of a modulation and coding method different from the adjustment coding method of the first signal. For example, as shown in Figure 3e, the filter coefficients trained under 4OQAM can be selected, and the filter coefficients trained under 16OQAM can also be selected.

In some embodiments, the trained filter coefficients may be any type of trained filter coefficients. For example, in combination with Example 1, filter coefficients trained under any type of training parameters may be selected as filter coefficients of the first signal.

In other embodiments, the trained filter coefficients may be obtained by training in a training environment based on partial matching or mismatching of parameters of the first signal and partial matching or mismatching of movement speeds of the transmitting end and/or the receiving end.

Considering that the filter may include frequency domain filtering and time domain filtering, taking FBMC as an example, frequency domain filtering may be implemented by extended FFT, and time domain filtering may be implemented by a polyphase filter network. The following is an example of method B1 and method B2.

In mode B1, the filter uses a frequency domain filter to filter the signal.

The filter coefficients of the frequency domain filter can be the trained filter coefficients in Figure 2a. After determining the trained filter coefficients, the transmitting end upsamples the first signal in the frequency domain, and the upsampling multiple is the overlap coefficient of the filter corresponding to the first signal; the upsampled first signal is subjected to frequency domain filtering through the frequency domain filter coefficients to obtain the filtered first signal. For the specific filtering process, please refer to the implementation method in step 202, which will not be described in detail here. Of course, other filters can also be used to filter through the trained filter coefficients, which will not be described in detail here.

Mode B2: The filter uses a time domain filter to filter the signal.

At this time, considering that the trained filter coefficients are the coefficients of the frequency filter, the trained frequency domain filter coefficients can be first converted into time domain filter coefficients of the time domain filter through time-frequency transformation, and then the first signal is subjected to time domain filtering processing through the time domain filter coefficients to obtain the filtered first signal.

As shown in FIG5a , the filter is a time domain filter. In this case, the integrated filter bank module at the transmitting end may include: an inverse fast Fourier transformation (IFFT) module and a poly phase network (PPN) module.

The transmitter can map the OQAM-processed signal (pilot signal and data signal) to the time domain signal through the IFFT module. The transmit signal can be filtered in the time domain through the PPN module, and the data signal S _m,n is multiplied by the filter coefficient using the time domain response of the filter. Each part of the PPN needs to be multiplied a corresponding number of times according to the overlap coefficient of the FBMC. For example, when the overlap coefficient of the FBMC is 4, each part of the PPN has 4 multiplications. In the frequency domain, the number of subcarriers of the FFT of the signal can be kept unchanged.

Through the time domain filter module, the signal can be filtered in the time domain. FIG5b exemplarily shows a flow chart of a filtering method of an FBMC filter provided by an embodiment of the present invention. According to the data signal S ₀₀ , S _mn , …, S _Mn , they are multiplied with the filter coefficients respectively. The multiplication process can be understood as the process of filtering the data signal. T is the number of filter coefficients, and the number of filter coefficients can be determined according to the accuracy of the filter and the scenario in which the filter is used, and is not limited here.

The time domain filter coefficients may be determined by time-frequency transformation based on the trained frequency domain filter coefficients. For example, the frequency domain filter coefficients may be composed of 7 non-zero values, and the time domain filter coefficients after time-frequency transformation may also be composed of 7 non-zero values, that is, O = [O3, O2, O1, O0, O1, O2, O3], where O is a filter coefficient set of the time domain filter, O3, O2, O1, O0, O1, O2, O3 are 7 filter coefficients respectively, and the filter coefficient set may be symmetrical about the center. The filtered signal _Xmn corresponding to the filtering of _Smn may be expressed as: [ _Smn *O3, _Smn *O2, _Smn *O1, _Smn *O0, _Smn *O1, _Smn *O2, _Smn *O3].

Step 403: The transmitting end sends the filtered first signal to the receiving end.

In combination with mode B1, the transmitting end modulates the filtered first signal through the IFFT module and converts it into a serial time domain signal for transmission. The method in which the transmitting end sends the filtered first signal to the receiving end can refer to the method in which the transmitting end sends the filtered training signal to the receiving end, which will not be repeated here.

In combination with mode B2 and FIG5b , the transmitting end converts the filtered signal into a serial time domain signal and then transmits it.

Correspondingly, the receiving end can receive the filtered first signal sent by the sending end.

Step 404: The receiving end performs filtering processing on the received first signal according to the trained filter coefficients.

In this scenario, the receiving end selects the trained filter coefficients in a manner that may be determined according to the scenario in which the transmitting end and the receiving end are located or the type of the receiving end, or may be determined by the transmitting end determining that the transmitting end and/or the receiving end are in a mobile state, or may be a manner pre-agreed by the transmitting end and the receiving end, which is not limited here. For details, please refer to the manner in step 402, which will not be described in detail here.

The filter coefficient may also be a trained filter coefficient determined by the receiving end, for example, the trained filter coefficient is determined by each of the receiving end and the transmitting end in a manner pre-agreed. The manner in which the receiving end determines the trained filter coefficient may refer to the manner in which the transmitting end determines the filter coefficient, which will not be described in detail here. Alternatively, the filter coefficient may also be a manner indicated by the transmitting end to the receiving end, for example, the filter coefficient may be determined by the receiving end according to the first information sent by the transmitting end, and the first information is used to indicate the trained filter coefficient determined by the transmitting end.

In some embodiments, the first information may be carried by control signaling, such as RRC signaling, high-level signaling, etc. This application does not limit this. The first information may carry filter coefficients, or may carry indication information of the filter coefficients. For example, after training the filter coefficients, the training device may send the trained filter coefficients to the transmitting end and the receiving end in advance, and configure corresponding index information for each filter coefficient. The index information may be used to indicate the number of filter coefficients, may be used to indicate the specific value of each filter coefficient in the filter coefficients, and may be used to indicate a filter coefficient. After the transmitting end determines the filter coefficient to be used, the indication information of the filter coefficient may be the index information of the filter coefficient. Thus, after the receiving end receives the first information, the filter coefficient indicated by the transmitting end may be determined based on the index information of the filter coefficient.

Combined with mode B1, the filter uses a frequency domain filter to filter the signal.

The filter coefficients of the frequency domain filter may be the trained filter coefficients in FIG2a. After determining the trained filter coefficients, the receiving end performs filtering processing on the received first signal according to the trained filter coefficients to obtain the first signal. The specific process of the receiving end receiving the first signal may refer to the process of the receiving end receiving the training signal in step 204, which will not be described in detail here.

In combination with mode B2, when the filter is a time domain filter, as shown in FIG5b, the analysis filter bank module at the receiving end may include: an FFT module and a poly phase network (PPN) filter bank module.

Correspondingly, after receiving the signal, the receiving end passes the time domain received signal after serial-to-parallel conversion through a filter (for example, PPN) matched with the transmitting end, and then converts the time domain received signal filtered by the filter to the frequency domain through the FFT module to obtain the pilot signal and the data signal. Among them, the pilot signal can be used for channel estimation, and the processed data signal can also be decoded to obtain the final received signal.

Through the above method, the influence of the Doppler frequency deviation of the channel under the influence of the moving speed on the signal transmission performance can be effectively improved, and it can be compatible with the scenario where the receiving end and the transmitting end do not move, thereby ensuring the performance of the filter.

The following uses scenarios 1 to 3 as examples.

Scenario 1: The sender is a network device and the receiver is a terminal device. The receiver is in a moving state. That is, the moving speed of the receiver is greater than 0.

The data transmission method provided by the embodiment of the present application is described below in conjunction with the accompanying drawings. Please refer to Figure 6, which is a flow chart of the method. In the following introduction, the method is applied to the communication system shown in Figure 1 as an example. In addition, the method can be performed by two communication devices, such as a transmitting end and a receiving end. In this example, the transmitting end is a network device and the receiving end is a terminal device. It includes:

Step 601: The network device obtains the moving speed of the terminal device.

There are many ways for a network device to determine that a terminal device is in a mobile state, which are described below using methods C1 to C3 as examples.

In mode C1, the terminal device can obtain the moving speed of the terminal device according to its own speed measurement method, and then the terminal device can send the moving speed of the terminal device to the network device.

For example, when the terminal device includes a GNSS positioning device, the terminal device can determine the moving speed of the terminal device based on the GNSS positioning device. For another example, when the terminal device includes sensor devices such as radar and cameras, the moving speed of the terminal device can be determined based on these sensor devices. The moving speed of the terminal device can also be determined by combining the environmental information obtained by the GNSS positioning device and the sensor device. This is not limited here.

The terminal device may feed back the moving speed of the terminal device to the network device in a periodic manner, or the terminal device may feed back the moving speed of the terminal device after determining that the moving speed of the terminal device has changed, or the network device may send a request message to obtain the moving speed of the terminal device to the terminal device, and the terminal device may feed back the moving speed of the terminal device to the network device after determining the moving speed of the terminal device.

Considering that the trained filter has a certain sensitivity to the moving speed of the transmitter or the receiver, the moving speed of the transmitter or the receiver can be divided into multiple moving speed intervals. For example, the moving speed interval where the terminal device moves changes can be determined based on the moving speed interval to which the trained filter coefficient is applicable. The moving speed interval can be determined based on the performance of the filter coefficient corresponding to the test results of the trained filter coefficient at different moving speeds, or can be determined based on other methods such as business needs, which are not limited here. For example, when it is determined that the moving speed of the receiving end changes from one moving speed interval to another moving speed interval, it is determined that the moving speed of the receiving end changes. Of course, it can also be determined that the moving speed of the receiving end changes by other methods, which are not limited here.

In mode C2, the terminal device may also measure the moving speed of the terminal device according to a measuring device other than the terminal device, and after sending the moving speed of the terminal device to the terminal device, the terminal device sends the moving speed of the terminal device to the network device. For example, the measuring device other than the terminal device may be a base station, GNSS, roadside unit or other terminal device. Thus, the moving speed of the receiving end is measured according to the base station positioning, GNSS positioning or roadside unit.

The terminal device may feed back the moving speed of the terminal device to the network device in a periodic manner, or the terminal device may feed back the moving speed of the terminal device after determining that the moving speed of the terminal device has changed, or the network device may feed back the moving speed of the terminal device to the network device after sending a request message to obtain the moving speed of the terminal device to the terminal device and the terminal device determines the moving speed of the terminal device.

In mode C3, the network device can estimate the moving speed interval of the terminal device according to the positioning method of the base station, and obtain the estimated value of the moving speed of the terminal device.

Alternatively, the measuring device may also report the moving speed of the terminal device to the network device. For example, after the measuring device obtains the moving speed of the terminal device, it feeds back the moving speed of the terminal device to the network device.

The measuring device may feed back the moving speed of the terminal device to the network device in a periodic manner, or after the measuring device determines that the moving speed of the terminal device has changed, or after the network device sends a request message to obtain the moving speed of the terminal device to the measuring device, the measuring device determines the moving speed of the terminal device and then feeds back the moving speed of the terminal device to the network device.

For example, the network device may send a request to the measuring device to measure the moving speed of the terminal device, and after the measuring device obtains the moving speed of the terminal device, it feeds back the moving speed of the terminal device to the network device. Alternatively, when the measuring device determines that the moving speed of the terminal device has changed, it feeds back the moving speed of the terminal device to the network device.

For example, the measuring device changes in the mobile speed interval where the mobile speed of the terminal device is located, and the mobile speed interval can be determined based on the mobile speed interval to which the trained filter coefficients are applicable. The mobile speed interval can be determined based on the performance of the filter coefficients corresponding to the test results of the trained filter coefficients at different mobile speeds, or can be determined in other ways such as business needs, which are not limited here. For example, when it is determined that the mobile speed of the receiving end changes from one mobile speed interval to another mobile speed interval, it is determined that the mobile speed of the receiving end has changed. Of course, the change in the mobile speed of the receiving end point can also be determined by other means, which are not limited here.

Step 602: The network device determines the filter coefficient according to the moving speed of the terminal device.

The filter coefficients are determined according to the moving speed of the receiving end and/or the moving speed of the sending end. For example, the filter coefficients may be trained filter coefficients.

In some embodiments, the first signal may be a signal to be sent. The signal may include a pilot signal and a data signal, and the data signal may be used to carry data to be parsed by the receiving end. The pilot signal may be a demodulation reference signal, a pilot signal for channel estimation, a training signal, and the like.

The parameters of the first signal may include: a modulation and coding mode of the first signal, a time-frequency resource corresponding to the first signal, etc. For example, the first signal may be determined under parameters of the first signal such as a preset modulation and coding mode, a preset time-frequency resource (the number of subcarriers carrying the training signal, the number of symbols, the subcarrier spacing, and the carrier frequency), or may be determined based on the channel state between the transmitting end and the receiving end and the allocatable time-frequency resources.

The modulation and coding method of the first signal may be determined when the network device and the terminal device establish a connection, or may be determined after the connection is established. For example, the modulation and coding method of the first signal may be sent to the terminal device through downlink control signaling when the network device configures resources for the terminal device. For another example, the modulation and coding method of the first signal may be sent to the terminal device by the network device through high-level signaling to the terminal device, or may be determined according to the method specified in the protocol, which is not limited here. For details, please refer to the method of step 401, which will not be repeated here.

In step 602, the network device and the terminal device may determine the filter coefficients to be used according to the moving speed of the terminal device in a variety of ways, which are described below using ways a1 to a3 as examples.

In mode a1, after determining that the terminal device is in a mobile state, the network device can use the trained filter coefficients to filter the first signal to be sent, and send the filtered first signal to the receiving end. Correspondingly, the terminal device can use the trained filter coefficients after it is in a mobile state.

When the filtered first signal is sent to the terminal device, the terminal device receives the second signal, wherein the second signal may be the filtered first signal sent to the terminal device by the network device after passing through the channel. After the receiving end determines that it is in a mobile state, the terminal device may use the trained filter coefficient to perform a filtering recovery process on the second signal to obtain an estimated first signal before filtering, and then obtain the data of the first signal based on the estimated first signal before filtering.

In mode a2, after determining the filter coefficient, the network device may notify the terminal device of the filter coefficient selected by the network device.

For example, the network device may send first information to the terminal device, where the first information is used to indicate the filter coefficients.

Correspondingly, the terminal device receives the first information sent by the network device.

The first information is used to indicate a filter coefficient, which may be a filter coefficient for filtering the first signal.

In some embodiments, the first information may be carried by control signaling, such as RRC signaling, high-layer signaling, etc. This application is not limited. The first information may carry filter coefficients, or may carry indication information of filter coefficients. For example, after training the filter coefficients, the training device may send the trained filter coefficients to the transmitting end and the receiving end in advance, and configure corresponding index information for each filter coefficient. The index information may be used to indicate the number of filter coefficients, may be used to indicate the specific value of each filter coefficient in the filter coefficients, and may be used to indicate a filter coefficient. After the transmitting end determines the filter coefficient to be used, the indication information of the filter coefficient may be the index information of the filter coefficient. Thus, after the receiving end receives the first information, the filter coefficient indicated by the transmitting end may be determined according to the index information of the filter coefficient. For another example, the first information may be indication information corresponding to the moving speed interval, so that the receiving end may determine the filter coefficient corresponding to the moving speed interval according to the moving speed interval.

In mode a3, the network device can pre-negotiate with the terminal device about the filter coefficients to be used. After the negotiation is completed, the network device uses the trained filter coefficients to filter the first signal to be sent, and sends the filtered first signal to the receiving end. When the filtered first signal is sent to the terminal device, the terminal device receives the second signal, and the terminal device can use the trained filter coefficients to perform a filtering recovery process on the second signal to obtain an estimated first signal before filtering, and then obtain the data of the first signal based on the estimated first signal before filtering.

For example, when the network device determines that the type of the terminal device is a mobile device such as a vehicle, considering that the vehicle is in a mobile state in most scenarios after startup, the network device can pre-negotiate with the terminal device to communicate through the trained filter coefficients. Therefore, after the negotiation is completed, the network device can select the trained filter coefficients to filter the first signal, and the terminal device can select the trained filter coefficients to perform corresponding processing on the received second signal after determining that the negotiation is completed. Reduce the delay in signal processing.

For another example, when the network device and the terminal device establish a communication connection, the terminal device can report whether the terminal device is in a mobile state for a long time, that is, whether to select the trained filter coefficient for filtering. Correspondingly, after receiving the information, the network device can select the trained filter coefficient to filter the first signal. Further, the terminal device can also report the time period when the terminal device is in a mobile state, etc. At this time, the network device can select the trained filter coefficient to filter the first signal in the corresponding time period. In other time periods, the network device can also select the untrained filter coefficient in the prior art to filter the first signal. And, in these time periods, the terminal device can process the received filtered first signal based on the untrained filter coefficient. Of course, considering the delay of sending the signal, the terminal device can also select the trained filter coefficient to process the received filtered first signal when the received signal cannot be correctly parsed to improve the performance of the received signal at the receiving end.

There are many ways for the network device to determine the corresponding filter coefficient when the terminal device is in a mobile state, which are described below using methods c1-c2 as examples.

In mode c1, the network device can determine that the terminal device is in a moving state according to the moving speed of the terminal device. At this time, the filter coefficient can be determined by referring to the method of determining the filter coefficient in step 402.

In mode c2, the network device may determine the filter coefficient corresponding to the moving speed interval according to the moving speed interval satisfied by the moving speed of the terminal device.

That is, the network device may update the filter coefficient when the mobile speed interval satisfied by the mobile speed of the terminal device changes. Of course, when the mobile speed interval satisfied by the mobile speed of the terminal device does not change, the network device may continue to use the filter coefficient used when sending a signal to the network device last time, so as to reduce the processing complexity of the network device.

In a possible implementation, the network device and the terminal device determine the filter coefficient corresponding to the mobile speed interval according to the mobile speed interval satisfied by the mobile speed of the terminal device through negotiation. For example, the network device updates the filter coefficient when the mobile speed interval satisfied by the mobile speed of the terminal device changes. After determining that the mobile speed interval satisfied by its own mobile speed has changed, the terminal device also synchronously updates the filter coefficient. At this time, after the network device updates the filter coefficient, it may not notify the terminal device that the filter coefficient used in the first signal has been updated.

In another possible implementation, the terminal device determines whether to update the filter coefficient by means of an indication from the network device. For example, the network device updates the filter coefficient when the mobile speed interval satisfied by the mobile speed of the terminal device changes. After the network device updates the filter coefficient, it sends a first message to the terminal device, where the first message is used to indicate the updated filter coefficient. After receiving the first message, the terminal device updates the filter coefficient. After determining that the mobile speed interval satisfied by its own mobile speed has changed, but the terminal device has not received the first message, the filter coefficient may not be updated. Ensure that the filter coefficients used by the network device and the terminal device are consistent.

For another example, the network device determines whether to update the filter coefficient by means of an indication from the terminal device. For example, the terminal device updates the filter coefficient when the mobile speed interval satisfied by the mobile speed of the terminal device changes. After the terminal device updates the filter coefficient, it sends a first message to the network device, where the first message is used to indicate the updated filter coefficient. After receiving the first message, the network device updates the filter coefficient. After determining that the mobile speed interval satisfied by its own mobile speed has changed, but the network device has not received the first message, the filter coefficient may not be updated. Ensure that the filter coefficients used by the network device and the terminal device are consistent.

In mode c2, the network device may determine the filter coefficient in various ways according to the moving speed range, as illustrated below using mode c2.1 and mode c2.2 as examples.

Mode c2.1, the training parameters matching the moving speed of the terminal device may be the trained filter coefficients corresponding to the training parameters determined after the training meets the moving speed of the terminal device.

For example, when it is determined that the moving speed of the terminal device is 100 km/h, the trained filter coefficients corresponding to the training parameters in Table 1 can be used as the trained filter coefficients corresponding to the first signal. Taking into account the training overhead, the moving speed interval of the receiving end to which the trained filter coefficients are applicable can be set. For example, the trained filter coefficients are trained at 100 km/h. At this time, the moving speed interval of the receiving end to which the trained filter coefficients are applicable can be set to [0,200] km/h. The size of the interval can be determined based on the performance of the filter coefficients corresponding to the test results, or can be determined by other methods such as business needs, which is not limited here.

Mode c2.2: The training parameters that match the moving speed of the terminal device may be determined by the trained filter coefficients corresponding to the training parameters satisfying the moving speed interval in which the moving speed of the terminal device is located.

That is, when it is determined that the moving speed interval in which the moving speed of the terminal device is located changes, the filter coefficient may be updated.

For example, during the training process, the range of moving speed can be divided into multiple moving speed intervals based on business needs. For example, the moving speed range is [0,800] km/h. One possible way is to divide it into three moving speed intervals, [0,200] km/h, [200,400] km/h, and [400,800] km/h.

A set of filter coefficients is trained for each moving speed interval. A set of filter coefficients is trained for each moving speed interval. The training may be performed for one moving speed in the moving speed interval or for multiple moving speeds in the moving speed interval, which is not limited here.

For example, among the three moving speed intervals, the first moving speed interval [0, 200] km/h can be trained with a moving speed of 100 km/h. The first moving speed interval [200, 400] km/h can be trained with a moving speed of 300 km/h. The first moving speed interval [400, 800] km/h can be trained with a moving speed of 600 km/h. The training parameters can be shown in Table 6.

Table 6

At this time, after determining the moving speed interval satisfied by the moving speed of the terminal device, the trained filter coefficients matching the moving speed of the terminal device may be determined according to the moving speed interval.

For example, after determining the modulation and coding mode, number of subcarriers, number of symbols, subcarrier spacing, and carrier frequency of the first signal, the filter coefficients of the training signal training corresponding to at least one of the modulation and coding mode of the first signal and the parameters of the time-frequency resources of the first signal (number of subcarriers, number of symbols, subcarrier spacing, and carrier frequency) can be determined. For example, when the number of subcarriers of the first signal is 256, the number of symbols is 16, the modulation mode is 16OQAM, the subcarrier spacing is 15kHz, and the carrier frequency is 4GHZ, it can be determined that the filter coefficients of the first signal can correspond to the filter coefficients of the training signal training in Table 6. Further, according to the moving speed of the receiving end, for example, the moving speed of the receiving end is 250km/h, it can be determined that the trained filter coefficients can be the filter coefficients of the training corresponding to the moving speed of 300km/h in Table 6.

Step 603: The network device filters the first signal according to the filter coefficient to obtain a filtered first signal.

In combination with approach B1, the filter uses a frequency domain filter to filter the signal.

The filter coefficients of the frequency domain filter may be the filter coefficients trained in step 602. After determining the trained filter coefficients, the transmitting end performs filtering processing on the first signal according to the trained filter coefficients to obtain a filtered first signal. The specific process of the transmitting end generating the filtered first signal may refer to the process of the transmitting end generating the filtered training signal in mode B1 of step 402, which will not be described in detail here.

In combination with approach B2, the filter uses a time domain filter to filter the signal.

The filter coefficients of the time domain filter may be the filter coefficients of the time domain filter determined after the trained filter coefficients are subjected to time-frequency changes in step 602. After determining the trained filter coefficients, the transmitting end performs filtering processing on the first signal according to the trained filter coefficients to obtain a filtered first signal. The specific process of the transmitting end generating the filtered first signal may refer to the process of the transmitting end generating the filtered training signal in mode B2 in step 402, which will not be described in detail here.

Step 604: The network device sends the filtered first signal to the terminal device.

The manner in which the network device sends the filtered first signal may refer to step 403 in FIG. 4 , which will not be described in detail herein.

Correspondingly, the terminal device receives the second signal, wherein the second signal may be the filtered first signal sent by the network device to the terminal device after passing through the channel.

Step 605: The terminal device performs filtering processing on the received second signal according to the trained filter coefficients to obtain an estimated first signal before filtering.

The manner in which the terminal device determines the trained filter coefficients can be found in step 602 and will not be described in detail here.

It should be noted that step 603 and step 604 are optional methods, and the specific timing of execution can be determined as needed and is not limited here.

The generalization ability of the filter obtained through neural network training has certain limitations. The filter coefficients that take into account the channel characteristics are obtained through training from the sender to the receiver, which effectively improves the performance of the filter. Furthermore, it is also possible to consider training the corresponding filter coefficients for different vehicle speed ranges to further improve the performance of the filter.

In scenario 2, the sender is a terminal device and the receiver is a network device. The terminal device is in a moving state, that is, the sender is in a moving state, and the moving speed of the sender is greater than 0.

The data transmission method provided by the embodiment of the present application is described below in conjunction with the accompanying drawings. Please refer to Figure 7, which is a flow chart of the method. In the following introduction, the method is applied to the communication system shown in Figure 1 as an example. In addition, the method can be performed by two communication devices, such as a transmitting end and a receiving end. In this example, the transmitting end is a terminal device and the receiving end is a network device. It includes:

Step 701: The terminal device obtains its own moving speed.

The specific method of obtaining the mobile speed of the terminal device can be referred to Method C1-Method C3, which will not be described here. It should be noted that the terminal device can also send the mobile speed of the terminal device to the terminal device through the network device without having the speed measurement function itself. For example, after the network device obtains the mobile speed of the terminal device through Method C2-Method C3, it can send the mobile speed of the terminal device to the terminal device, so that the terminal device obtains its own mobile speed.

Step 702: Determine the filter coefficient according to the moving speed of the terminal device.

Wherein, the filter coefficient is determined according to the moving speed of the terminal device.

For example, when the transmitting end determines that it is in a moving state, it can select the trained filter coefficients to perform filtering processing on the first signal.

The first signal may be a signal to be sent. The signal may include a pilot signal and a data signal, and the data signal may be used to carry data to be parsed by the receiving end. The pilot signal may be a demodulation reference signal, a pilot signal for channel estimation, a training signal, and the like.

The parameters of the first signal may include: the modulation and coding mode of the first signal, the time-frequency resources corresponding to the first signal, etc. For example, the first signal may be determined under the parameters of the first signal such as the preset modulation and coding mode, the preset time-frequency resources (the number of subcarriers carrying the training signal, the number of symbols, the subcarrier spacing, the carrier frequency), etc., or may be determined according to the channel state between the network device and the receiving device and the allocatable time-frequency resources. For details, please refer to the method of step 401, which will not be described in detail here.

Among them, the modulation and coding mode of the first signal can be determined when the network device and the terminal device establish a connection, or can be determined after the connection is established. The network device can send the modulation and coding mode of the first signal to the terminal device.

There are many ways for the terminal device to determine the filter coefficients to be used, which are described below using methods a4 to a6 as examples.

Mode a4: After determining that the terminal device is in a mobile state, the terminal device can use the trained filter coefficients to filter the first signal to be sent, and send the filtered first signal to the network device. Correspondingly, the network device can use the trained filter coefficients after determining that the terminal device is in a mobile state.

When the filtered first signal is sent to the network device, the network device receives the second signal, wherein the second signal may be the filtered first signal sent by the terminal device to the network device after passing through the channel. After determining that the terminal device is in a mobile state, the network device may use the trained filter coefficients to perform a filtering recovery process on the second signal to obtain an estimated first signal before filtering, and then obtain data of the first signal based on the estimated first signal before filtering.

In mode a5, after determining the trained filter coefficients, the terminal device may notify the network device of the selected trained filter coefficients.

For example, the terminal device may send first information to the network device, where the first information is used to indicate a filter coefficient.

Correspondingly, the network device receives the first information sent by the terminal device.

The first information is used to indicate a filter coefficient, which may be a filter coefficient for filtering the first signal.

In some embodiments, the first information may be carried by control signaling, such as uplink control signaling, high-layer signaling, etc. This application is not limited. The first information may carry filter coefficients, or may carry indication information of filter coefficients. For example, after training the filter coefficients, the training device may send the trained filter coefficients to the transmitting end and the receiving end in advance, and configure corresponding index information for each filter coefficient. The index information may be used to indicate the number of filter coefficients, may be used to indicate the specific value of each filter coefficient in the filter coefficients, and may be used to indicate a filter coefficient. After the terminal device determines the filter coefficient to be used, the indication information of the filter coefficient may be the index information of the filter coefficient. Thus, after the network device receives the first information, the filter coefficient indicated by the terminal device may be determined according to the index information of the filter coefficient. For another example, the first information may be indication information corresponding to the mobile speed interval, so that the receiving end may determine the filter coefficient corresponding to the mobile speed interval according to the mobile speed interval.

In mode a6, the terminal device may pre-negotiate with the network device the trained filter coefficients to be used. After the negotiation is completed, the terminal device uses the trained filter coefficients to filter the first signal to be sent, and sends the filtered first signal to the network device. When the filtered first signal is sent to the network device, the network device receives the second signal, and the network device may use the trained filter coefficients to perform a filtering recovery process on the second signal to obtain an estimated first signal before filtering, and then obtain the data of the first signal based on the estimated first signal before filtering.

For example, when the network device determines that the type of the terminal device is a mobile device such as a vehicle, considering that the vehicle is in a mobile state in most scenarios after startup, the terminal device can pre-negotiate with the network device to communicate through the trained filter coefficients. Therefore, after the negotiation is completed, the terminal device can select the trained filter coefficients to filter the first signal, and the network device can select the trained filter coefficients to perform corresponding processing on the received second signal after determining that the negotiation is completed. Reduce the delay in signal processing.

For another example, when a terminal device and a network device establish a communication connection, the terminal device can report whether the terminal device is in a mobile state for a long time, that is, whether to select the trained filter coefficients for filtering. When the terminal device sends the first information to the network device, and the first information indicates to select the trained filter coefficients for filtering, the terminal device can select the trained filter coefficients to filter the first signal.

Correspondingly, after receiving the first information, the network device can determine that the terminal device selects the trained filter coefficients for filtering processing, and according to the predetermined trained filter coefficients, perform filtering recovery processing on the filtered first signal sent by the received terminal device to restore the first signal.

Furthermore, the terminal device can also report the time period when the terminal device is in a mobile state, etc. At this time, the terminal device can select the trained filter coefficient to filter the first signal in the corresponding time period. In other time periods, the terminal device can also select the untrained filter coefficient in the prior art to filter the first signal. And, in these time periods, the network device can process the received filtered first signal based on the untrained filter coefficient. Of course, considering the delay in sending the signal, the network device can also select the trained filter coefficient to process the received filtered first signal when it cannot correctly parse the received signal, so as to improve the performance of the network device's received signal.

It should be noted that there are multiple ways for the terminal device and the network device to determine the filter coefficients after training, which are described below using methods c3 and c4 as examples.

In method c3, the terminal device can determine that the terminal device is in a moving state according to the moving speed of the terminal device. At this time, the filter coefficient can be determined by referring to the method of determining the filter coefficient in step 402.

The network device may determine that the terminal device is in a moving state according to the moving speed of the terminal device. At this time, the filter coefficient may be determined by referring to the method of determining the filter coefficient in step 402.

In mode c4, the terminal device may determine the filter coefficient corresponding to the moving speed interval according to the moving speed interval satisfied by the moving speed of the terminal device.

That is, the terminal device may update the filter coefficient when the moving speed interval satisfied by the moving speed of the terminal device changes. After updating the filter coefficient, the first information may be sent to the network device to indicate the updated filter coefficient. In another possible implementation, the terminal device determines whether to update the filter coefficient by means of an indication from the network device.

Of course, when the moving speed interval satisfied by the moving speed of the terminal device does not change, the filter coefficients used when sending signals to the terminal device last time can be used to reduce the processing complexity of the terminal device.

Accordingly, the network device may determine the filter coefficient corresponding to the mobile speed interval according to the mobile speed interval satisfied by the mobile speed of the terminal device. Alternatively, the filter coefficient indicated by the first information may be determined according to the first information sent by the terminal device, or the updated filter coefficient indicated by the first information may be determined. For details, please refer to method c2, which will not be described in detail here.

In a possible implementation, the terminal device and the network device determine the filter coefficient corresponding to the mobile speed interval according to the mobile speed interval satisfied by the mobile speed of the terminal device through negotiation. For example, when the mobile speed interval satisfied by the mobile speed of the terminal device changes, the filter coefficient is updated. After determining that the mobile speed interval satisfied by the mobile speed of the terminal device changes, the network device also synchronously updates the filter coefficient. At this time, after the terminal device updates the filter coefficient, it may not notify the network device that the filter coefficient used in the first signal has been updated.

In another possible implementation, the terminal device determines whether to update the filter coefficient by indicating. For example, the terminal device updates the filter coefficient when the mobile speed interval satisfied by the mobile speed of the terminal device changes. After the terminal device updates the filter coefficient, it sends a first message to the network device, where the first message is used to indicate the updated filter coefficient. After receiving the first message, the network device updates the filter coefficient. After determining that the mobile speed interval satisfied by the mobile speed of the terminal device has changed, but the network device has not received the first message, the filter coefficient may not be updated. Ensure that the filter coefficients used by the terminal device and the network device are consistent.

In mode c4, the terminal device may determine the filter coefficient in a variety of ways according to the moving speed range, which may be specifically referred to in mode c2.1 and mode c2.2, and will not be described in detail here.

Step 703: The terminal device filters the first signal according to the filter coefficient to obtain a filtered first signal.

For specific methods, please refer to Method B1 and Method B2, which will not be described in detail here.

Step 704: The terminal device sends the filtered first signal to the network device.

Correspondingly, the network device receives the second signal, wherein the second signal may be the filtered first signal sent by the terminal device to the network device after passing through the channel.

Step 705: The network device performs filtering processing on the received second signal according to the trained filter coefficients to obtain an estimated first signal before filtering.

The manner in which the network device determines to use the trained filter coefficients can refer to the manner a3-manner a6 in step 702, which will not be described in detail here. Accordingly, the network device can determine the trained filter coefficients according to the moving speed of the terminal device, which can be specifically referred to the manner c3-manner c4 in step 702, which will not be described in detail here. There can be multiple manners for the network device to determine the moving speed of the terminal device, which can be specifically referred to the manner C1-manner C3, which will not be described in detail here.

It should be noted that step 704 and step 705 are optional methods, and the specific timing of execution can be determined as needed and is not limited here.

Scenario 3: The sender is a terminal device and the receiver is a terminal device. Both the sender and the receiver may be in a mobile state.

That is, the moving speed of the sending end is greater than 0, and the moving speed of the receiving end is greater than 0.

For example, when the transmitting end determines that both the receiving end and the transmitting end are in a moving state, the transmitting end may select the trained filter coefficients to perform filtering processing on the first signal.

As shown in FIG8 , a data transmission method provided by the present application is taken as an example of the method being applied to the communication system shown in FIG1 . In addition, the method can be performed by two communication devices, such as a transmitting end and a receiving end. In this example, the transmitting end is terminal device 1 and the receiving end is terminal device 2. It includes:

Step 801: Terminal device 1 obtains the moving speed of terminal device 1 and/or terminal device 2.

The way in which the terminal device 1 obtains its own moving speed can be referred to Method A1-A2, which will not be described here. The terminal device 1 can also send the moving speed of the terminal device 1 to the terminal device 1 through the terminal device 2, without having the speed measurement function itself. For example, after the terminal device 2 obtains the moving speed of the terminal device 1 through Method A2-Method A3, the moving speed of the terminal device 1 can be sent to the terminal device 1, so that the terminal device 1 obtains its own moving speed.

The way in which the terminal device 1 obtains the moving speed of the terminal device 2 can refer to the way in which the network device obtains the moving speed of the terminal device in the ways A1-A3, which will not be repeated here. In addition, the way in which the terminal device 1 obtains the moving speed of the terminal device 2 can also be that the network device obtains the moving speed of the terminal device 2 and then sends the moving speed of the terminal device 2 to the terminal device 1.

Step 802: Terminal device 1 determines the filter coefficient according to the moving speed of terminal device 1 and/or terminal device 2.

The filter coefficient is determined according to the moving speed of the terminal device 1 and/or the moving speed of the terminal device 2.

For example, when the terminal device 1 determines that the terminal device 1 and/or the terminal device 2 is in a moving state, the terminal device 1 may select the trained filter coefficients to perform filtering processing on the first signal.

The first signal may be a signal to be sent. The signal may include a pilot signal and a data signal, and the data signal may be used to carry data to be parsed by the receiving end. The pilot signal may be a demodulation reference signal, a pilot signal for channel estimation, a training signal, and the like.

The parameters of the first signal may include: the modulation and coding mode of the first signal, the time-frequency resources corresponding to the first signal, etc. For example, the first signal may be determined under the parameters of the first signal such as the preset modulation and coding mode, the preset time-frequency resources (the number of subcarriers carrying the training signal, the number of symbols, the subcarrier spacing, and the carrier frequency), or may be determined according to the channel state between the terminal device 2 and the terminal device 1 and the allocatable time-frequency resources.

The modulation and coding mode of the first signal can be determined when the terminal device and the terminal device establish a sideline connection, or can be configured by the network device for the transmitter and the receiver after the sideline connection is established. For details, please refer to the method of step 401, which will not be repeated here.

There are many ways for the terminal device 1 to determine the filter coefficients after training, which are described below using methods a4 to a6 as examples.

Mode a4: After determining that terminal device 1 and terminal device 2 are in a mobile state, terminal device 1 can use the trained filter coefficients to filter the first signal to be sent, and send the filtered first signal to terminal device 2. Correspondingly, terminal device 2 can use the trained filter coefficients after determining that terminal device 1 and terminal device 2 are in a mobile state.

When the filtered first signal is sent to the terminal device 2, the terminal device 2 receives the second signal, wherein the second signal may be the filtered first signal sent by the terminal device 1 to the terminal device 2 after passing through the channel. After determining that the terminal device 1 is in a mobile state, the terminal device 2 may use the trained filter coefficients to perform a filtering recovery process on the second signal to obtain an estimated first signal before filtering, and then obtain data of the first signal based on the estimated first signal before filtering.

Optionally, the terminal device 1 may further determine the relative speed between the terminal device 1 and the terminal device 2, and when the relative speed between the terminal device 1 and the terminal device 2 meets a preset threshold, determine to use the trained filter coefficients to perform filtering processing on the first signal to be sent. Correspondingly, after determining that the terminal device 1 and the terminal device 2 are in a moving state, the terminal device 2 may further determine the relative speed between the terminal device 1 and the terminal device 2, and when the relative speed between the terminal device 1 and the terminal device 2 meets a preset threshold, determine to use the trained filter coefficients to perform recovery processing on the filtering of the received signal.

In mode a5, after determining the trained filter coefficients, terminal device 1 may notify terminal device 2 of the selected trained filter coefficients.

For example, terminal device 1 may send first information to terminal device 2, where the first information is used to indicate a filter coefficient.

Correspondingly, terminal device 2 receives the first information sent by terminal device 1.

The first information is used to indicate a filter coefficient, which may be a filter coefficient for filtering the first signal.

In some embodiments, the first information may be carried by control signaling, such as side control signaling, high-level signaling, etc. This application is not limited. The first information may carry filter coefficients, or may carry indication information of filter coefficients. For example, after training the filter coefficients, the training device may send the trained filter coefficients to the transmitting end and the receiving end in advance, and configure corresponding index information for each filter coefficient. The index information may be used to indicate the number of filter coefficients, may be used to indicate the specific value of each filter coefficient in the filter coefficients, and may be used to indicate a filter coefficient. After the terminal device 1 determines the filter coefficient to be used, the indication information of the filter coefficient may be the index information of the filter coefficient. Thus, after the terminal device 2 receives the first information, the filter coefficient indicated by the terminal device 1 may be determined according to the index information of the filter coefficient. For another example, the first information may be indication information corresponding to the mobile speed interval, so that the receiving end may determine the filter coefficient corresponding to the mobile speed interval according to the mobile speed interval.

In mode a6, the terminal device 1 may negotiate with the terminal device 2 in advance about the trained filter coefficients to be used. After the negotiation is completed, the terminal device 1 uses the trained filter coefficients to filter the first signal to be sent, and sends the filtered first signal to the terminal device 2. When the filtered first signal is sent to the terminal device 2, the terminal device 2 receives the second signal, and the terminal device 2 may use the trained filter coefficients to perform a filtering recovery process on the second signal to obtain an estimated first signal before filtering, and then obtain the data of the first signal based on the estimated first signal before filtering.

For example, when terminal device 2 determines that the type of terminal device 1 is a mobile device such as a vehicle, considering that the vehicle is in a mobile state in most scenarios after startup, terminal device 1 can pre-negotiate with terminal device 2 to communicate through the trained filter coefficients. Therefore, after the negotiation is completed, terminal device 1 can select the trained filter coefficients to filter the first signal, and terminal device 2 can select the trained filter coefficients to perform corresponding processing on the received second signal after determining that the negotiation is completed. Reduce the delay in signal processing.

For another example, when terminal device 1 and terminal device 2 establish a communication connection, terminal device 1 can notify terminal device 1 whether it is in a long-term mobile state, that is, whether to select the trained filter coefficient for filtering. Terminal device 1 can send first information to terminal device 2, wherein the first information indicates that the trained filter coefficient is selected for filtering, and terminal device 1 can select the trained filter coefficient to filter the first signal.

Correspondingly, after receiving the first information, the terminal device 2 can determine that the terminal device 1 selects the trained filter coefficients for filtering processing, and according to the predetermined trained filter coefficients, performs filtering recovery processing on the filtered first signal sent by the received terminal device 1 to restore the first signal.

Furthermore, the terminal device 1 can also report the time period when the terminal device 1 is in a mobile state, etc. At this time, the terminal device 1 can select the trained filter coefficient to filter the first signal in the corresponding time period. In other time periods, the terminal device 1 can also select the untrained filter coefficient in the prior art to filter the first signal. And, in these time periods, the terminal device 2 can process the received filtered first signal based on the untrained filter coefficient. Of course, considering the problem of delay in sending signals, the terminal device 2 can also select the trained filter coefficient to process the received filtered first signal when the received signal cannot be correctly parsed, so as to improve the performance of the received signal of the terminal device 2.

It should be noted that there are multiple ways for terminal device 1 and terminal device 2 to determine the trained filter coefficients, which are described below using ways c5 and c6 as examples.

Method c5, terminal device 1 can determine that terminal device 1 and terminal device 2 are in a relative moving state according to the relative moving speed of terminal device 1 and terminal device 2. At this time, the filter coefficient can be determined by referring to the method of determining the filter coefficient in step 402.

Terminal device 2 can determine that terminal device 1 and terminal device 2 are in a relative moving state according to the relative moving speed of terminal device 1 and terminal device 2. At this time, the filter coefficient can be determined by referring to the method of determining the filter coefficient in step 402.

In mode c6, the terminal device 1 may determine the filter coefficient corresponding to the moving speed interval according to the moving speed interval satisfied by the relative moving speeds of the terminal device 1 and the terminal device 2.

That is, the terminal device 1 may update the filter coefficient when the moving speed interval satisfied by the relative moving speeds of the terminal device 1 and the terminal device 2 changes. Of course, when the moving speed interval satisfied by the relative moving speeds of the terminal device 1 and the terminal device 2 does not change, the terminal device 1 may continue to use the filter coefficient used when sending a signal to the terminal device 1 last time, so as to reduce the processing complexity of the terminal device 1.

The terminal device 2 may determine the filter coefficient corresponding to the moving speed interval according to the moving speed interval satisfied by the relative moving speeds of the terminal devices 1 and 2. For details, please refer to method c3, which will not be described again.

In a possible implementation, terminal device 1 and terminal device 2 determine the filter coefficient corresponding to the moving speed interval according to the moving speed interval satisfied by the relative moving speed of terminal device 1 and terminal device 2 through negotiation. For example, when terminal device 1 determines that the moving speed interval satisfied by the relative moving speed of terminal device 1 and terminal device 2 has changed, terminal device 1 updates the filter coefficient. After determining that the moving speed interval satisfied by the relative moving speed of terminal device 1 and terminal device 2 has changed, terminal device 2 also synchronously updates the filter coefficient. At this time, after terminal device 1 updates the filter coefficient, it is not necessary to notify terminal device 2 that the filter coefficient used in the first signal has been updated.

In another possible implementation, the terminal device 1 determines whether to update the filter coefficient by means of indication. For example, the terminal device 1 updates the filter coefficient when the moving speed interval satisfied by the relative moving speed of the terminal device 1 and the terminal device 2 changes. After the terminal device 1 updates the filter coefficient, the terminal device 2 sends a first message to the terminal device 2, where the first message is used to indicate the updated filter coefficient. After receiving the first message, the terminal device 2 updates the filter coefficient. When the terminal device 2 determines that the moving speed interval satisfied by the relative moving speed of the terminal device 1 and the terminal device 2 has changed, but has not received the first message, the filter coefficient may not be updated. Ensure that the filter coefficients used by the terminal device 1 and the terminal device 2 are consistent.

In mode c6, the terminal device 1 may determine the filter coefficient in a variety of ways according to the moving speed range, which may be specifically referred to in mode c2.1 and mode c2.2, and will not be described in detail here.

Step 803: The terminal device 1 filters the first signal according to the filter coefficient to obtain a filtered first signal.

Among them, the terminal device 1 filters the first signal according to the filter coefficient. The method of obtaining the filtered first signal can refer to method B1 and method B2, which will not be repeated here.

Step 804: Terminal device 1 sends the filtered first signal to terminal device 2.

Correspondingly, the terminal device 2 receives the second signal, wherein the second signal may be the filtered first signal sent by the terminal device 1 to the terminal device 2 after passing through the channel.

Step 805: The terminal device 2 performs filtering processing on the received second signal according to the trained filter coefficients to obtain an estimated first signal before filtering.

The manner in which the terminal device 2 determines to use the trained filter coefficients can refer to the manner a3-manner a6 in step 802, which will not be described in detail here. Correspondingly, the terminal device 2 can determine the trained filter coefficients based on the relative moving speed of the terminal device 1 and the terminal device 2, which can be specifically referred to the manner c3-manner c4 in step 802, which will not be described in detail here. The manner in which the terminal device 2 determines the relative moving speed of the terminal device 1 and the terminal device 2 can be determined based on the moving speed of the terminal device 1 and the moving speed of the terminal device 2, or can be measured by the sensor of the terminal device 2 to measure the relative moving speed of the terminal device 1 and the terminal device 2, which is not limited here. Among them, the manner in which the moving speed of the terminal device 1 and the moving speed of the terminal device 2 are determined refers to the manner in step 801, which will not be described in detail here.

It should be noted that step 804 and step 805 are optional methods, and the specific timing of execution can be determined as needed and is not limited here.

In another possible scenario, the transmitting end and the receiving end can each determine the filter coefficient according to a pre-configured filter coefficient determination method, thereby realizing the transmission of the signal between the transmitting end and the receiving end. The data transmission method provided by the embodiment of the present application is described below in conjunction with the accompanying drawings. Please refer to Figure 9, which is a flow chart of the method. In the following introduction, the method is applied to the communication system shown in Figure 1 as an example. In addition, the method can be performed by two communication devices, such as a transmitting end and a receiving end. It includes:

Step 901: The sending end obtains the moving speed of the receiving end and/or the moving speed of the sending end.

The manner in which the transmitting end obtains the moving speed of the receiving end and/or the moving speed of the transmitting end may refer to step 601, step 701 and step 801, which will not be described in detail here.

Step 902: The transmitting end determines whether to update the filter coefficient according to the moving speed of the receiving end and/or the moving speed of the transmitting end. If yes, execute step 903; if no, execute step 904b;

For example, the transmitting end may determine to update the filter coefficient when it is determined that the mobile speed interval in which the mobile speed of the receiving end is located has changed and/or the mobile speed interval in which the mobile speed of the transmitting end is located has changed. The transmitting end may determine to update the filter coefficient when it is determined that the mobile speed interval in which the mobile speed of the receiving end is located has not changed and/or the mobile speed interval in which the mobile speed of the transmitting end is located has not changed. Alternatively, the transmitting end may determine to update the filter coefficient when it is determined that the mobile speed interval in which the mobile speed of the receiving end is located has not changed and the mobile speed interval in which the mobile speed of the transmitting end is located has not changed.

Step 903: The transmitting end sends second information to the receiving end, where the second information is the updated filter coefficient.

The updated filter coefficients may be determined according to the new moving speed interval in which the moving speed of the receiving end is located and/or the new moving speed interval in which the moving speed of the sending end is located. For a specific determination method, reference may be made to the method in which the sending end determines the filter coefficients according to the moving speed of the receiving end and/or the moving speed of the sending end in steps 602, 702, and 802.

Step 904a: The transmitting end filters the first signal according to the updated filter coefficients to obtain a filtered first signal.

Among them, the sending end filters the first signal according to the updated filter coefficients, and the method for obtaining the filtered first signal can refer to the method in which the sending end filters the first signal according to the filter coefficients in steps 602, 702 and 802 to obtain the filtered first signal, which will not be repeated here.

Step 904b: The transmitting end filters the first signal according to the filter coefficient to obtain a filtered first signal.

Among them, the sending end filters the first signal according to the filter coefficient, and the method for obtaining the filtered first signal can refer to the method in which the sending end filters the first signal according to the filter coefficient in steps 6002, 702 and 802 to obtain the filtered first signal, which will not be repeated here.

Step 905: The transmitting end sends the filtered first signal.

The manner in which the transmitting end sends the filtered first signal may refer to step 904 and will not be described in detail here.

Correspondingly, the transmitting end receives the filtered first signal.

Step 906a: The receiving end filters the first signal according to the updated filter coefficients to obtain a filtered first signal.

The receiving end can determine the updated filter coefficient according to the received second information. The second information can be similar to the first information, and the second information can be the index information of the updated filter coefficient, or can be information associated with the first information, for example, the first information indicates filter coefficient 1, the second information indicates filter coefficient 2 which is separated from filter coefficient 1 by 1 moving speed interval, and the second information can carry the interval of the moving speed interval. The specific determination method can refer to the method in which the receiving end can determine the filter coefficient according to the received first information, which is not limited here.

Step 906b: The receiving end filters the first signal according to the filter coefficient to obtain a filtered first signal.

Among them, the receiving end filters the first signal according to the filter coefficient, and the method for obtaining the filtered first signal can refer to the method in step 905 where the receiving end filters the first signal according to the filter coefficient to obtain the filtered first signal, which will not be repeated here.

In the embodiments provided by the present application, the methods provided by the embodiments of the present application are introduced from the perspective of interaction between various devices. In order to realize the functions in the methods provided by the embodiments of the present application, the network device or the terminal device may include a hardware structure and/or a software module, and the functions are realized in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether a function in the above functions is executed in the form of a hardware structure, a software module, or a hardware structure plus a software module depends on the specific application and design constraints of the technical solution.

The division of modules in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

As shown in FIG. 10 , the present application provides a communication device 1000 .

In some embodiments, the communication device may be a transmitting end, and the transmitting end may be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The device 1000 may include a processing module 1010 and a transmitting module 1020. Optionally, a receiving module 1030 may also be included.

The processing module 1010 is used to obtain the moving speed of the receiving end and/or the moving speed of the sending end.

The sending module 1020 is configured to send the filtered first signal to the receiving end. The filtered first signal is obtained by filtering the first signal according to a filter coefficient, and the filter coefficient is determined according to the moving speed of the receiving end and/or the moving speed of the sending end.

In a possible implementation, the filter coefficient is determined according to a parameter of the first signal and a moving speed of the receiving end. The parameter of the first signal includes at least one of the following: a modulation coding mode of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the transmitter; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal, the moving speed of the receiving end, and the moving speed of the transmitting end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation manner, the modulation and coding mode of the first signal is a high-order modulation and coding mode, and the high-order modulation and coding mode is a modulation and coding mode with an order greater than 2.

In a possible implementation, the processing module 1010 is further configured to update the filter coefficient when it is determined that a moving speed interval in which the moving speed of the receiving end is located changes and/or a moving speed interval in which the moving speed of the transmitting end is located changes.

In a possible implementation manner, the moving speed of the receiving end and/or the moving speed of the sending end is greater than a preset threshold.

In a possible implementation, the sending module 1020 is further used to send first information to the receiving end, where the first information is used to indicate the filter coefficient.

In a possible implementation, when the transmitting end is a network device, the transmitting module 1020 is further configured to send a modulation and coding mode of the first signal to the receiving end;

When the transmitting end is a terminal device, the receiving module 1030 is further used to receive the modulation and coding mode of the first signal from a network device.

In a possible implementation, the filter coefficient is a frequency domain filter coefficient; the processing module 1010 is also used to upsample the first signal in the frequency domain, and the upsampling multiple is the overlapping coefficient of the filter corresponding to the first signal; the upsampled first signal is subjected to frequency domain filtering processing through the frequency domain filter coefficient to obtain the filtered first signal.

In a possible implementation, the filter coefficients are trained based on a filtered training signal received by the training receiving end from the training sending end when the training receiving end and/or the training sending end are in a moving state; the filtered training signal sent by the training sending end is a signal filtered according to the filter coefficients to be trained, and the training parameters of the filter coefficients are determined based on at least one of the following: a moving speed interval satisfied by the training receiving end, a moving speed interval satisfied by the moving speed of the training sending end, or at least one of the parameters of the first signal.

As shown in FIG11 , the present application provides a communication device 1100, which can be applied to a receiving end, and the receiving end can be a network device, a terminal device, or a component in a network device, such as a chip, or a component in a terminal device, such as a chip. The device 1100 may include a processing module 1110 and a receiving module 1120. Optionally, the device may also include a sending module 1130.

The receiving module 1120 is used to receive the filtered first signal sent by the sending end;

The processing module 1110 is used to process the filtered first signal according to a filter coefficient, where the filter coefficient is determined according to a moving speed of the receiving end and/or a moving speed of the sending end.

In a possible implementation, the receiving module 1120 is used to receive first information from a transmitting end, where the first information is used to indicate the filter coefficient.

In a possible implementation, the processing module 1110 is configured to send the moving speed of the receiving end to the sending end through the sending module 1130 when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes.

In a possible implementation, the receiving module 1120 is used to receive second information from the sending end, where the second information is used to indicate updated filter coefficients, and the updated filter coefficients are determined when it is determined that the moving speed interval in which the moving speed of the receiving end is located changes and/or the moving speed interval in which the moving speed of the sending end is located changes.

In a possible implementation, the filter coefficient is a frequency domain filter coefficient; the processing module 1110 is used to perform frequency domain filtering on the filtered first signal through the frequency domain filter coefficient; and downsample the filtered first signal in the frequency domain, and the downsampling multiple is the overlap coefficient of the filter corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the receiving end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal and the moving speed of the transmitter; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation, the filter coefficients are determined based on parameters of the first signal, the moving speed of the receiving end, and the moving speed of the transmitting end; wherein the parameters of the first signal include at least one of the following: a modulation and coding method of the first signal or a time-frequency resource corresponding to the first signal.

In a possible implementation manner, the modulation and coding mode of the first signal is a high-order modulation and coding mode, and the high-order modulation and coding mode is a modulation and coding mode with an order greater than 2.

In a possible implementation manner, the moving speed of the receiving end and/or the moving speed of the sending end is greater than a preset threshold.

In a possible implementation, when the transmitting end is a network device, the receiving module 1120 is configured to receive a modulation and coding mode of the first signal from the transmitting end;

When the receiving end is a network device, the sending module 1130 is used to send the modulation and coding mode of the first signal to the sending end.

In a possible implementation, the filter coefficients are trained based on a filtered training signal received by the training receiving end from the training sending end when the training receiving end and/or the training sending end are in a moving state; the filtered training signal sent by the training sending end is a signal filtered based on the filter coefficients to be trained, and the training parameters of the filter coefficients to be trained are determined based on at least one of the following: a moving speed interval satisfied by the training receiving end, a moving speed interval satisfied by the moving speed of the training sending end, or at least one of the parameters of the first signal.

Optionally, the communication device 1000 or 1100 may further include a storage unit for storing data or instructions (also referred to as code or program), and each of the above units may interact or couple with the storage unit to implement the corresponding method or function. For example, the processing module 1010 or 1110 may read the data or instructions in the storage unit so that the communication device implements the method in the above embodiment.

It should be understood that the division of the units in the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And the units in the device can all be implemented in the form of software calling through processing elements; they can also be all implemented in the form of hardware; some units can also be implemented in the form of software calling through processing elements, and some units can be implemented in the form of hardware. For example, each unit can be a separately established processing element, or it can be integrated in a certain chip of the device for implementation. In addition, it can also be stored in the memory in the form of a program, and called and executed by a certain processing element of the device. The function of the unit. In addition, all or part of these units can be integrated together, or they can be implemented independently. The processing element described here can also be a processor, which can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each unit above can be implemented by an integrated logic circuit of hardware in the processor element, or it can also be implemented in the form of software calling through a processing element.

In one example, the unit in any of the above devices may be one or more integrated circuits configured to implement the above method, such as one or more application specific integrated circuits (ASIC), or one or more digital singnal processors (DSP), or one or more field programmable gate arrays (FPGA), or a combination of at least two of these integrated circuit forms. For another example, when the unit in the device can be implemented in the form of a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

The above unit for receiving (e.g., receiving unit) is an interface circuit of the device, which is used to receive signals from other devices. For example, when the device is implemented in the form of a chip, the receiving unit is an interface circuit of the chip used to receive signals from other chips or devices. The above unit for sending (e.g., sending unit) is an interface circuit of the device, which is used to send signals to other devices. For example, when the device is implemented in the form of a chip, the sending unit is an interface circuit of the chip used to send signals to other chips or devices.

Refer to Figure 12, which is a schematic diagram of the structure of a communication device provided in an embodiment of the present application. The communication device is used to implement the operation of the transmitting end or the receiving end in the above embodiments. As shown in Figure 12, taking the communication device as a terminal device as an example, the communication device includes: an antenna 1210, a radio frequency device 1220, and a signal processing part 1230. The antenna 1210 is connected to the radio frequency device 1220. In the downlink direction, the radio frequency device 1220 receives information sent by a network device or other terminal device through the antenna 1210, and sends the information sent by the network device or other terminal device to the signal processing part 1230 for processing. In the uplink direction, the signal processing part 1230 processes the information of the terminal device and sends it to the radio frequency device 1220. The radio frequency device 1220 processes the information of the terminal device and sends it to the network device or other terminal device through the antenna 1210.

Taking the communication device as a network device as an example, the communication device includes: an antenna 1210, a radio frequency device 1220, and a signal processing part 1230. The antenna 1210 is connected to the radio frequency device 1220. In the uplink direction, the radio frequency device 1220 receives information sent by the first terminal or other terminal devices through the antenna 1210, and sends the information sent by the first terminal or other terminal devices to the signal processing part 1230 for processing. In the downlink direction, the signal processing part 1230 processes the information of the network device and sends it to the radio frequency device 1220, and the radio frequency device 1220 processes the information of the network device and sends it to the first terminal or other terminal devices through the antenna 1210.

The signal processing part 1230 is used to process each communication protocol layer of the data. The signal processing part 1230 can be a subsystem of the communication device, and the communication device can also include other subsystems, such as a central processing subsystem, which is used to process the operating system and application layer of the communication device; for example, the peripheral subsystem is used to connect with other devices. The signal processing part 1230 can be a separately set chip. Optionally, the above devices can be located in the signal processing part 1230.

The signal processing part 1230 may include one or more processing elements 1231, for example, including a main control CPU and other integrated circuits, and an interface circuit 1233. In addition, the signal processing part 1230 may also include a storage element 1232. The storage element 1232 is used to store data and programs. The program for executing the method executed by the communication device in the above method may be stored or may not be stored in the storage element 1232, for example, stored in a memory outside the signal processing part 1230, and the signal processing part 1230 loads the program into the cache for use when in use. The interface circuit 1233 is used to communicate with the device. The above device may be located in the signal processing part 1230, and the signal processing part 1230 may be implemented by a chip, which includes at least one processing element and an interface circuit, wherein the processing element is used to execute each step of any method executed by the above communication device, and the interface circuit is used to communicate with other devices. In one implementation, the unit that implements each step in the above method can be implemented in the form of a processing element scheduling program, for example, the device includes a processing element and a storage element, and the processing element calls the program stored in the storage element to execute the method executed by the communication device in the above method embodiment. The storage element may be a storage element on the same chip as the processing element, that is, an on-chip storage element.

In another implementation, the program for executing the method executed by the communication device in the above method may be in a storage element on a different chip from the processing element, that is, an off-chip storage element. In this case, the processing element calls or loads the program from the off-chip storage element to the on-chip storage element to call and execute the method executed by the communication device (transmitter or receiver) in the above method embodiment.

In another implementation, the unit of the communication device implementing each step in the above method may be configured as one or more processing elements, which are arranged on the signal processing part 1230. The processing element here may be an integrated circuit, for example: one or more ASICs, or one or more DSPs, or one or more FPGAs, or a combination of these integrated circuits. These integrated circuits may be integrated together to form a chip.

The units implementing the various steps in the above method can be integrated together and implemented in the form of a system-on-a-chip (SOC), and the SOC chip is used to implement the above method. The chip can integrate at least one processing element and a storage element, and the method executed by the above communication device can be implemented in the form of a program stored in the storage element by the processing element; or, the chip can integrate at least one integrated circuit to implement the method executed by the above communication device; or, the above implementation methods can be combined, and the functions of some units can be implemented in the form of a processing element calling a program, and the functions of some units can be implemented in the form of an integrated circuit.

It can be seen that the above device may include at least one processing element and an interface circuit, wherein at least one processing element is used to execute the method performed by any one of the communication devices provided in the above method embodiments. The processing element may execute part or all of the steps performed by the communication device in a first manner: that is, by calling a program stored in a storage element; or in a second manner: that is, by combining an integrated logic circuit of hardware in a processor element with instructions to execute part or all of the steps performed by the communication device; of course, the first manner and the second manner may also be combined to execute part or all of the steps performed by the communication device.

The processing element here is the same as described above, and can be a general-purpose processor, such as a CPU, or one or more integrated circuits configured to implement the above method, such as one or more ASICs, or one or more microprocessors DSPs, or one or more FPGAs, etc., or a combination of at least two of these integrated circuit forms. The storage element can be a memory, or a general term for multiple storage elements.

It can be understood that the memory in the embodiments of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a computer, the method described in any method embodiment corresponding to the sending end or the receiving end in the above embodiments is implemented.

An embodiment of the present application further provides a computer program product, which, when executed by a computer, implements the method described in any one of the method embodiments of the above-mentioned sending end or receiving end.

It should be pointed out that the words such as "first" and "second", for example, "first indication information, second indication information", etc., are only used for the purpose of distinguishing descriptions, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order. "At least one" means one or more, and "plurality" means two or more. "And/or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and/or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character "/" generally indicates that the previous and subsequent associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

The above embodiments can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs. When a computer program is loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. Available media may be magnetic media (eg, floppy disks, hard disks, tapes), optical media (eg, digital video discs (DVDs)), or semiconductor media (eg, solid state disks (SSDs)).

An embodiment of the present application also provides a processing device, including a processor and an interface; the processor is used to execute the method described in any method embodiment of the above-mentioned sending end or receiving end.

It should be understood that the above-mentioned processing device can be a chip, and the processor can be implemented by hardware or by software. When implemented by hardware, the processor can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor can be a general-purpose processor, which is implemented by reading the software code stored in the memory. The memory can be integrated in the processor or located outside the processor and exist independently.

The above are only specific implementation methods of the present application, but the protection scope of the embodiments of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed in the embodiments of the present application, which should be included in the protection scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be based on the protection scope of the claims.

Claims (21)

1. The data transmission method is characterized by being applied to a transmitting end and comprising the following steps:

obtaining the moving speed of a receiving end and the moving speed of a transmitting end;

The method comprises the steps of sending a filtered first signal to a receiving end, wherein the filtered first signal is obtained by filtering the first signal according to a filter coefficient, and the filter coefficient is determined according to the moving speed of the receiving end and the moving speed of the sending end;

The filter coefficient is trained according to the filtered training signal received by the training receiving end from the training transmitting end when the training receiving end and the training transmitting end are in a moving state; the filtered training signal sent by the training sending end is a signal which is filtered according to a filter coefficient to be trained, and the training parameter of the filter coefficient to be trained is determined according to at least one of the following:

The movement speed interval satisfied by the training receiving end, the movement speed interval satisfied by the movement speed of the training transmitting end, and the parameter of the first signal.

2. The method of claim 1, wherein the filter coefficients are determined based on a parameter of the first signal and a speed of movement of the receiving end; or alternatively

The filter coefficient is determined according to the parameter of the first signal and the moving speed of the transmitting end; or alternatively

The filter coefficient is determined according to the parameter of the first signal, the moving speed of the receiving end and the moving speed of the transmitting end;

Wherein the parameter of the first signal comprises at least one of: the modulation and coding mode of the first signal or the time-frequency resource corresponding to the first signal.

3. The method of any one of claim 1 to 2, wherein,

The modulation coding mode of the first signal is a high-order modulation coding mode, and the high-order modulation coding mode is a modulation coding mode with the order being more than 2.

4. A method according to any of claims 1-3, wherein when the sender is a network device, the method further comprises: transmitting the modulation coding mode of the first signal to the receiving end;

When the transmitting end is a terminal device, the method further comprises: and receiving the modulation coding mode of the first signal from the network equipment.

5. The method of any one of claims 1-4, wherein the method further comprises:

And updating the filter coefficient when the moving speed interval where the moving speed of the receiving end is determined to be changed and/or the moving speed interval where the moving speed of the transmitting end is determined to be changed.

6. The method of any one of claims 1-5, wherein the method further comprises:

and sending first information to the receiving end, wherein the first information is used for indicating the filter coefficient.

7. The method of any of claims 1-6, wherein the filter coefficients are frequency domain filter coefficients; the method further comprises the steps of:

Upsampling the first signal in a frequency domain, wherein the upsampling multiple is an overlapping coefficient of a filter corresponding to the first signal;

and carrying out frequency domain filtering processing on the up-sampled first signal through the frequency domain filter coefficient to obtain a filtered first signal.

8. Method according to any of claims 1-7, wherein the movement speed of the receiving end and/or the movement speed of the transmitting end is greater than a preset threshold.

9. A data transmission method, applied to a receiving end, comprising:

receiving a filtered first signal sent by a sending end;

processing the filtered first signal according to a filter coefficient, wherein the filter coefficient is determined according to the moving speed of the receiving end and the moving speed of the transmitting end;

The filter coefficient is trained according to the filtered training signal received by the training receiving end from the training transmitting end when the training receiving end and the training transmitting end are in a moving state; the filtered training signal sent by the training sending end is a signal which is filtered according to a filter coefficient to be trained, and the training parameter of the filter coefficient to be trained is determined according to at least one of the following:

The movement speed interval satisfied by the training receiving end, the movement speed interval satisfied by the movement speed of the training transmitting end, and the parameter of the first signal.

10. The method of claim 9, wherein the filter coefficients are determined based on a parameter of the first signal and a speed of movement of the receiving end; or alternatively

The filter coefficient is determined according to the parameter of the first signal and the moving speed of the transmitting end; or alternatively

The filter coefficient is determined according to the parameter of the first signal, the moving speed of the receiving end and the moving speed of the transmitting end;

Wherein the parameter of the first signal comprises at least one of: the modulation and coding mode of the first signal or the time-frequency resource corresponding to the first signal.

11. The method of any one of claim 9 to 10, wherein,

The modulation coding mode of the first signal is a high-order modulation coding mode.

12. The method according to any of claims 9-11, wherein when the sender is a network device, the method further comprises: receiving a modulation and coding mode of the first signal from the transmitting end;

when the receiving end is a network device, the method further comprises: and transmitting the modulation and coding mode of the first signal to the transmitting end.

13. The method of any one of claims 9-12, wherein the method further comprises:

And receiving first information from a transmitting end, wherein the first information is used for indicating the filter coefficient.

14. The method of any one of claims 9-13, wherein the method further comprises:

And when the moving speed interval where the moving speed of the receiving end is determined to be changed, the moving speed of the receiving end is sent to the sending end.

15. The method of any one of claims 9-14, wherein the method further comprises:

And receiving second information from the sending end, wherein the second information is used for indicating updated filter coefficients, and the updated filter coefficients are determined when the moving speed interval where the moving speed of the receiving end is determined to be changed and/or the moving speed interval where the moving speed of the sending end is determined to be changed.

16. The method of any of claims 9-15, wherein the filter coefficients are frequency domain filter coefficients; the filtering the filtered first signal includes:

performing frequency domain filtering processing on the filtered first signal through the frequency domain filter coefficient;

And downsampling the filtered first signal on a frequency domain, wherein the downsampling multiple is the overlapping coefficient of a filter corresponding to the first signal.

17. Method according to any of claims 9-16, wherein the movement speed of the receiving end and/or the movement speed of the transmitting end is greater than a preset threshold.

18. A communication device, comprising: a processor and a communication interface for the apparatus to communicate, the processor being coupled with a memory for storing a program or instructions which, when executed by the processor, cause the apparatus to perform the method of any of claims 1-8.

19. A communication device, comprising: a processor and a communication interface for the apparatus to communicate, the processor being coupled with a memory for storing a program or instructions which, when executed by the processor, cause the apparatus to perform the method of any of claims 9-17.

20. A communication device, comprising: the communication device of claim 18 and the communication device of claim 19.

21. A computer readable storage medium having instructions stored therein which, when executed on a computer, cause the computer to perform the method of any of claims 1-8 or 9-17.