CN115412411B

CN115412411B - Data transmission method and device

Info

Publication number: CN115412411B
Application number: CN202110802465.9A
Authority: CN
Inventors: 沈弘; 陈子健; 赵春明; 杜振国; 彭兰
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2021-05-26
Filing date: 2021-07-15
Publication date: 2024-05-03
Anticipated expiration: 2041-07-15
Also published as: CN115412411A

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

The present application claims priority from the chinese patent application entitled "a communication method, terminal and network device" filed at 26 months 5 of 2021 by the intellectual property office of the people's republic of China, application number 202110578153.4, the entire contents of which are incorporated herein by reference.

Technical Field

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

Background

Orthogonal frequency division multiplexing (orthogonal frequency-division multiplexing, OFDM) is a core modulation technology of a fifth generation (5th generation,5G) mobile communication system because of the advantages of multipath fading resistance, intersymbol interference resistance, flexible bandwidth and high spectrum utilization rate.

With the rapid development of high-speed vehicles such as high-speed rails, the wireless channel environment becomes more complex, which makes the research work of high-mobility wireless transmission technology very challenging. Especially in a high mobility scenario, the doppler frequency offset caused by the high mobility of the terminal may destroy the orthogonality of the subcarriers modulated by the conventional OFDM, and cause inter-carrier interference (inter-CARRIER INTERFERENCE, ICI), resulting in serious performance loss. How to effectively restrain the influence caused by Doppler frequency offset is an important problem to be solved by high mobility transmission.

Disclosure of Invention

The embodiment of the application provides a data transmission method and device, which are used for reducing inter-carrier interference generated in a mobile scene and improving the transmission performance of signals.

In a first aspect, the present application provides a data transmission method, applied to a transmitting end, where the transmitting end may be a network device, a terminal device, or a component in the network device, such as a chip, or a component in the 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 comprises the following steps: obtaining the moving speed of a receiving end and/or the moving speed of a transmitting end; and 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 a filtered first signal, and transmitting the filtered first signal to the receiving end.

By the method, the influence of the moving speed of the receiving end and/or the moving speed of the sending end on the filter coefficient is considered by the sending end, namely, the filter coefficient is determined based on the moving speed of the receiving end and/or the moving speed of the sending end, so that the determined filter coefficient can better reduce the inter-carrier interference generated when the receiving end and/or the sending end move, and the transmission performance of the filtered first signal transmitted between the receiving end and the sending end is effectively improved when the receiving end and/or the sending end move.

One possible implementation manner, 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 comprises at least one of: the modulation and coding mode of the first signal or the time-frequency resource corresponding to the first signal.

By the method, the receiving end is the terminal equipment, the filter coefficient can be determined based on the parameter of the first signal and the moving speed of the receiving end under the condition that the receiving end is in a moving state, and the performance of the filtered first signal sent by the sending end is improved.

One possible implementation manner, the filter coefficient is determined according to the parameter of the first signal 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.

By the method, the sending end is the terminal equipment, the filter coefficient can be determined based on the parameter of the first signal and the moving speed of the sending end when the sending end is in the moving state, and the performance of the filtered first signal sent by the sending end is improved.

A possible implementation manner, 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.

By the method, when the sending end and the receiving end are in a moving state, for example, the sending end and the receiving end are terminal equipment, the filter coefficient can be determined based on the parameter of the first signal, the moving speed of the sending end and the moving speed of the receiving end, and the performance of the filtered first signal sent by the sending end is improved.

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

In consideration of the fact that the moving speed has a large influence on the performance of the filter coefficient when the modulation and coding scheme is a high-order modulation and coding scheme, the filter coefficient may be determined based on the moving speed of the receiving end and/or the moving speed of the transmitting end. Different filter coefficients are used under different moving speeds of the receiving end and/or the transmitting end, so that the environment of different transmission signals of the receiving end and/or the transmitting end is better adapted.

Correspondingly, when the modulation coding mode of the first signal is a low-order modulation coding mode, a trained filter coefficient may be used, for example, the trained filter coefficient is obtained by training after the training receiving end and/or the training transmitting end are in a moving state and transmit and receive the training signal, and when the receiving end and/or the transmitting end are in a moving state, that is, when the moving speed of the receiving end and/or the moving speed of the transmitting end is greater than a preset threshold, the trained filter coefficient is used to filter the first signal, so that the filtering performance of the first signal is improved.

One possible implementation manner is to 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.

In order to reduce the complexity of the filters of 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 may 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, so that the transmitting end may update the filter coefficient when determining that the moving speed interval in which the moving speed of the receiving end is located is changed and/or the moving speed interval in which the moving speed of the transmitting end is located is changed.

Optionally, after updating the filter coefficient, the transmitting end may further indicate the updated filter coefficient to the receiving end, so as to improve the reliability of the first signal transmission.

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

Considering that when the moving speed of the receiving end and/or the moving speed of the transmitting end are high, the interference between carriers generated in the channel transmission process of the signal is large, when the moving speed of the receiving end and/or the moving speed of the transmitting end is greater than a preset threshold, the filter coefficient is determined based on the moving speed of the receiving end and/or the moving speed of the transmitting end, so that the performance of the filter can be improved more remarkably.

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

By the method, the sending end can indicate the filter coefficient of the first signal to the receiving end, so that the sending end and the receiving end can filter the first signal by adopting the same filter coefficient, and the reliability of the first signal transmission is improved. Of course, the filter coefficients of the first signal may also be determined by a predetermined manner, which is not limited herein.

In a possible implementation manner, when the sending end is a network device, the method further includes: 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.

By the method, the network device can indicate the modulation coding mode of the first signal to the terminal device, and then the transmitting end and the receiving end can determine the modulation coding mode of the first signal, and then the transmitting end and the receiving end can determine the filter coefficient adopted by the first signal according to the modulation coding mode of the first signal, so that the reliability of the transmission of the first signal is improved, and in addition, the transmitting end can not indicate the filter coefficient of the first signal so as to reduce signaling overhead.

One possible implementation, 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.

By the method, the frequency domain signal can be processed through up-sampling, then the convolution kernel in the convolution layer in the CNN is determined through the frequency domain filter coefficient, and the convolution processing is carried out on the up-sampled first signal in a convolution mode through the convolution layer in the CNN, so that the frequency domain filtering of the first signal is realized.

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

and filtering the first signal according to the time domain filter coefficient to obtain a filtered first signal.

One possible implementation manner is that the filter coefficient is trained according to a training receiving end and/or a training transmitting end in a moving state, and the training receiving end receives a filtered training signal from the training transmitting end;

the filtered training signal sent by the training sending end is a signal filtered according to the filter coefficient to be trained, and the training parameter of the filter coefficient is determined according to at least one of the following: at least one of a movement speed interval satisfied by the training receiving end, a movement speed interval satisfied by the movement speed of the training transmitting end, or a parameter of the first signal.

By the method, the filter coefficient can be obtained after training, so that the robustness of the filter is improved.

In a second aspect, the present application provides a data transmission method, applied to a receiving end, where the receiving end may be a network device, a terminal device, or a component in the network device, such as a chip, or a component in the terminal device, such as a chip. The sender 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 comprises the following steps: receiving a filtered first signal sent by the sending end; and 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.

By the 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 sending end on the filter coefficient, namely based on the moving speed of the receiving end and/or the moving speed of the sending end, so that the determined filter coefficient can better reduce the inter-carrier interference generated when the receiving end and/or the sending end move, and effectively reduce the error rate of signals received by the receiving end and/or the sending end when the receiving end and/or the sending end move.

One possible implementation manner receives first information from a transmitting end, where the first information is used to indicate the filter coefficients.

By the method, 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 by the sending end in a mode of sending the first information by the sending end, so that the receiving end can correctly receive the filtered first signal sent by the sending end.

One possible implementation manner is to send the moving speed of the receiving end to the sending end when the moving speed interval where the moving speed of the receiving end is determined to change.

By the method, when the moving speed interval of the moving speed of the receiving end changes, the sending end can be informed in time, the filter coefficient can be updated in time, and the filtering performance of the transmitted signal is improved.

One possible implementation manner, the second information from the sending end is received, where the second information is used to indicate an updated filter coefficient, where the updated filter coefficient is determined when it is determined that a moving speed interval where the moving speed of the receiving end is located changes and/or a moving speed interval where the moving speed of the sending end is located changes.

By the method, after the second information sent by the sending end is received, the updating of the filter coefficient can be determined, so that the receiving end can process the received signal according to the updated filter coefficient, the data in the signal can be ensured to be correctly received, and the error rate is reduced.

One possible implementation, 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.

A possible implementation manner, the filter coefficient is determined according to the parameter of the first signal and the moving speed of the receiving 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.

In a possible implementation manner, when the sending 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 comprises: and transmitting the modulation and coding mode of the first signal to the transmitting end.

One possible implementation manner is that the filter coefficient is trained according to a training receiving end and/or a training transmitting end in a moving state, and the training receiving end receives a filtered training signal from the training transmitting end; the filtered training signal sent by the training sending end is a signal after filtering 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: at least one of a movement speed interval satisfied by the training receiving end, a movement speed interval satisfied by the movement speed of the training transmitting end, or a parameter of the first signal.

In a third aspect, the present application provides a communication apparatus, for use in a transmitting end, where 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 can comprise a processing module and a sending module. Optionally, a receiving module may be further included.

And the processing module is used for obtaining the moving speed of the receiving end and/or the moving speed of the sending end.

And the sending module is used for sending the filtered first signal to the receiving end. The first signal after filtering is obtained after 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 transmitting end.

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

A possible implementation manner, the sending module is further configured 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 configured to transmit a modulation coding manner of the first signal to the receiving end;

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

One possible implementation, the filter coefficients are frequency domain filter coefficients; the processing module is further configured to upsample the first signal in a frequency domain, where a multiple of the upsampling is an overlap 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.

One possible implementation manner is that the filter coefficient is trained according to a training receiving end and/or a training transmitting end in a moving state, and the training receiving end receives a filtered training signal from the training transmitting end; the filtered training signal sent by the training sending end is a signal filtered according to the filter coefficient to be trained, and the training parameter of the filter coefficient is determined according to at least one of the following: at least one of a movement speed interval satisfied by the training receiving end, a movement speed interval satisfied by the movement speed of the training transmitting end, or a parameter of the first signal.

In a fourth aspect, the present application provides a communication apparatus, for use in a receiving end, where 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 apparatus may include a processing module, a receiving module. Optionally, the apparatus may further include a transmitting module.

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

The processing module is configured 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 transmitting end.

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

The processing module is configured to send, when it is determined that a movement speed interval in which the movement speed of the receiving end is located changes, the movement speed of the receiving end to the sending end through the sending module.

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

One possible implementation, the filter coefficients are frequency domain filter coefficients; the processing module is used for carrying out 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.

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

and when the receiving end is network equipment, the sending module is used for sending the modulation coding mode of the first signal to the sending end.

In a fifth aspect, the present application provides a communications apparatus comprising a processor and a memory for storing computer-executable instructions that, when the apparatus is operated, cause the apparatus to perform any of the implementation methods as described above for the first aspect.

In a sixth aspect, the present application provides a communications apparatus comprising a processor and a memory for storing computer-executable instructions that, when the apparatus is operated, cause the apparatus to perform any of the implementation methods of the second aspect described above.

In a seventh aspect, the present application provides a communication apparatus, 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 apparatus may comprise a processor and a memory for storing computer-executable instructions which, when the apparatus is run, cause the apparatus to perform any of the implementation methods of the first or second aspect described above.

In an eighth aspect, embodiments of the present application further provide a computer-readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform any of the above-described methods of implementing the first to second aspects.

In a ninth aspect, embodiments of the present application also provide a computer program product comprising a computer program which, when run, causes any of the implementation methods of the first to second aspects described above to be performed.

In a tenth aspect, an embodiment of the present application further provides a chip system, including: a processor configured to perform any of the implementation methods of the first to second aspects.

In an eleventh aspect, embodiments of the present application further provide a communication system, including a communication apparatus as in the third aspect or the fifth aspect or the seventh aspect, or including a communication apparatus as in the fourth aspect or the sixth aspect or the seventh aspect.

Drawings

Fig. 1 is a schematic diagram of a communication system according to an embodiment of the present application;

Fig. 2a is a schematic flow chart of a training method for filter coefficients according to an embodiment of the present application;

FIG. 2b is a schematic diagram of a filtering process according to an embodiment of the present application;

fig. 2c is a schematic structural diagram of a communication device according to an embodiment of the present application;

fig. 2d is a schematic structural diagram of a transmitter according to an embodiment of the present application;

FIG. 2e is a schematic diagram of an upsampling according to an embodiment of the present application;

FIG. 2f is a schematic diagram of a filtering method according to an embodiment of the present application;

fig. 2g is a schematic structural diagram of a receiver according to an embodiment of the present application;

FIG. 3a is a schematic diagram of training filter coefficients according to an embodiment of the present application;

fig. 3 b-3 f are schematic diagrams of test results of a filter coefficient according to an embodiment of the present application;

fig. 4 is a flow chart of a data transmission method according to an embodiment of the present application;

Fig. 5a is a schematic structural diagram of a transmitter according to an embodiment of the present application;

Fig. 5b is a schematic structural diagram of a receiver according to an embodiment of the present application;

fig. 6 is a schematic flow chart of a data transmission method according to an embodiment of the present application;

Fig. 7 is a schematic flow chart of a data transmission method according to an embodiment of the present application;

fig. 8 is a schematic flow chart of a data transmission method according to an embodiment of the present application;

fig. 9 is a schematic flow chart of a data transmission method according to an embodiment of the present application;

Fig. 10 is a schematic structural diagram of a communication device according to an embodiment of the present application;

Fig. 11 is a schematic structural diagram of a communication device according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of a communication device according to an embodiment of the present application.

Detailed Description

The communication method provided by the application can be applied to data transmission scenes in various wireless communication architectures. In particular, it relates to data transmission scenarios of high-speed mobile devices supporting multi-carrier modulation, such as applications of narrowband internet of things (NB-IoT), global system for mobile communications (global system for mobile communications, GSM), enhanced data rates for GSM evolution (ENHANCED DATA RATE for GSM evolution, EDGE), wideband code division multiple access (wideband code division multiple access, WCDMA), code division multiple access 2000 (code division multiple access, CDMA 2000), time division synchronous code division multiple access (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 (long Term evolution, LTE), LTE frequency division duplex (frequency division duplex, FDD) systems, fifth generation (5th generation,5G) mobile communication systems or new wireless (new radio, NR) systems, such as enhanced mobile broadband (342, eMBB), ultra-high reliable ultra-low latency communication (ultra reliable low latency communication, URLLC) and enhanced communication types (machine-to-everything, V2X), machine-to-machine-macine (M2M) communication systems, long term evolution (long Term evolution, LTE), LTE frequency division duplex (frequency division duplex, FDD) systems, new Radio (NR) systems, mtc) systems, such as enhanced mobile broadband (3435, eMBB), ultra-low latency communication (ultra reliable low latency communication, URLLC) and enhanced communication types (mtc) and machine-to machine-6, mtc) systems, etc., or other communication systems, such as future communication systems, communication systems. For example: the method can be suitable for networking scenes such as uplink and downlink decoupling, carrier aggregation (carrier aggregation, CA), double connection (dual connectivity, DC) and the like of various communication systems.

Fig. 1 is a schematic structural diagram of a communication system according to an embodiment of the present application, where the communication system includes a network device and at least one terminal device (such as terminals 1 to 6 shown in fig. 1). The network device may communicate with at least one terminal device, such as terminal 1, via an Uplink (UL) and a Downlink (DL). The uplink refers to the terminal device to network device communication link and the downlink refers to the network device to terminal device communication link.

Alternatively, the network device and the terminal device may each have a plurality of transmitting antennas and a plurality of 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, and the number of network devices and the number of terminal devices included in the communication system are not limited in the embodiments of the present application. The network device in fig. 1 and part of the terminal devices or all of the terminal devices in at least one terminal device may implement the technical solution provided by the embodiments of the present application. In addition, the various terminal devices shown in fig. 1 are only some examples of terminal devices, and it should be understood that the terminal devices in the embodiments of the present application are not limited thereto.

The network device referred to in the embodiment of the present application is also referred to as an access network device, and is a device in a network for accessing a terminal device to a wireless network. The network device may be a node in a radio access network, also referred to as a base station, also referred to as a RAN node (or device). The network device may be an evolved NodeB (eNodeB) in an LTE system or an evolved LTE-a system, or may also be a next generation base station (next generation Node B, gNodeB) in a 5G NR system, or may also be a Node B (NB), a base station controller (base station controller, BSC), a base transceiver station (base transceiver station, BTS), a transmission and reception point (transmission reception point, TRP), a home base station (e.g., home evolved NodeB, or home Node B, HNB), a Base Band Unit (BBU), a WiFi Access Point (AP), a relay Node, an access backhaul integrated (INTEGRATED ACCESS AND backhaul) Node, or a base station in a future mobile communication system, or may also be a Centralized Unit (CU) and a Distributed Unit (DU). In a separate deployment scenario where the access network device includes a CU and a DU, the CU supports protocols such as radio resource control (radio resource control, RRC), packet data convergence protocol (PACKET DATA convergence protocol, PDCP), service data adaptation protocol (SERVICE DATA adaptation protocol, SDAP), etc.; the DUs support mainly radio link control (radio link control, RLC) layer protocols, medium access control (medium access control, MAC) layer protocols and physical layer protocols.

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 (terminal), which may also be a subscriber unit (subscriber unit), a cellular phone (cellular phone), a smart phone (smart phone), a wireless data card, a Personal Digital Assistant (PDA) computer, a tablet computer, a wireless modem (modem), a handheld device (handset), a laptop computer (laptop computer), a machine type communication (MACHINE TYPE communication, MTC) terminal, etc. The terminal device may also be a vehicle or a terminal roadside unit, or a transceiver unit or chip built in the vehicle or the roadside unit.

By way of example, and not limitation, in embodiments of the present application, the terminal device may also be a wearable device. The wearable device can also be called as a wearable intelligent device or an intelligent wearable device, and is a generic name for intelligently designing daily wear and developing wearable devices, such as glasses, gloves, watches, clothes, shoes, and the like, by applying wearable technology. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device includes full functionality, large size, and may not rely on the smart phone to implement complete or partial functionality, such as: smart watches or smart glasses, etc., and focus on only certain types of application functions, and need to be used in combination with other devices, such as smart phones, for example, various smart bracelets, smart helmets, smart jewelry, etc. for physical sign monitoring.

While the various terminal devices described above, if located on a vehicle (e.g., placed in or mounted in the vehicle), may be considered as in-vehicle devices, such as also known as On Board Units (OBUs).

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

The embodiment of the application can be suitable for communication between the terminal equipment and the network equipment, internet of vehicles, internet of things, industrial internet, satellite communication and the like.

In the following description of the embodiments of the present application, a communication device for generating and transmitting a signal may be referred to as a transmitting-end communication device or a transmitting end, and a communication device for receiving and analyzing a signal may be referred to as a receiving-end communication device or a receiving end. It will be appreciated that in embodiments of the present application, the communication devices are distinguished based on only the function of transmitting signals or receiving signals, and not any limitation on the function of the communication devices.

It should be noted that the terms "system" and "network" in embodiments of the present application may be used interchangeably. "plurality" means two or more, and "plurality" may also be understood as "at least two" in this embodiment of the present application. "at least one" may be understood as one or more, for example as one, two or more. For example, including at least one means including one, two or more, and not limiting what is included. For example, at least one of A, B and C is included, then A, B, C, A and B, A and C, B and C, or A and B and C may be included. Likewise, the understanding of the description of "at least one" and the like is similar. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/", unless otherwise specified, generally indicates that the associated object is an "or" relationship.

Unless stated to the contrary, the embodiments of the present application refer to ordinal terms such as "first," "second," etc., for distinguishing between multiple objects, and are not intended to limit the order, timing, priority, or importance of the multiple objects, nor are the descriptions of "first," "second," etc., to limit the objects to be different.

OFDM has the advantages of multipath fading resistance, intersymbol interference resistance, flexible bandwidth and high spectrum utilization rate, and becomes a core modulation technology of a mobile communication system. With the rapid development of high-speed vehicles such as high-speed rail vehicles, the wireless channel environment becomes more complex, which makes the research work of high-mobility wireless transmission technology very challenging. In a mobile state of the terminal equipment, particularly in a high-speed mobility scene, referring to the moving speed of high-speed vehicles such as high-speed rail, for example, taking the moving speed of the terminal equipment being greater than 100km/h as a high-speed moving example, the Doppler frequency offset caused by high mobility can damage the orthogonality of subcarriers of the traditional OFDM modulation, cause inter-carrier interference and cause serious performance loss.

Filter Bank Multicarrier (FBMC) is a multicarrier modulation technique with lower out-of-band emissions and higher spectral efficiency relative to OFDM.

FBMC filters a multicarrier signal using a set of parallel subband filters, which are modulated by the same prototype filter. Because of the good time-frequency local characteristic of the prototype filter, FMBC can achieve better transmission performance in a fading channel on the premise of not adding Cyclic Prefix (CP), compared with OFDM, FBMC can obviously reduce the strict orthogonality requirement of a system on subcarriers, improves the time-frequency distribution characteristic of signals, and reduces the performance loss of a multi-carrier system caused by Doppler frequency offset. However, the filter coefficients of the prototype filter are usually fixed, and the influence of channel variation on the filtering performance at different speeds of the transmitting end and/or the receiving end cannot be considered, so that the interference between carriers is large.

The scene to which the present application is applicable includes a scene in which there may be a movement of the transmitting end and/or the receiving end, for example, the transmitting end is a network device, the receiving end is a terminal device, and there may be a movement of the receiving end, that is, the moving speed of the receiving end may not be zero. For another example, the transmitting end is a terminal device, the receiving end is a network device, and there may be movement of the transmitting end, that is, the moving speed of the transmitting end may not be zero. Or the sending end and the receiving end are both terminal devices, the sending end and the receiving end may be in a moving scene.

In the embodiment of the application, a training method for filter coefficients is provided, which is applicable to network equipment and terminal equipment in the system architecture of fig. 1, and can be used as a training transmitting end of the training method when the network equipment is a transmitting end, and can be used as a training receiving end of the training method when the terminal equipment is a receiving end. Of course, it may be performed by a server in combination with the network device and the terminal device in fig. 1. The transmitting end may be used for a function of the transmitting end, for example, the transmitting end may be a network device, or may be a device for implementing a function of the network device, or a terminal device or a device for implementing a function of the terminal device, such as a chip, a system on a chip, a transceiver, and/or a memory. The receiving end may be used to implement a function of the receiving end, for example, the receiving end may be a terminal device, or may be a device for implementing a function of the terminal device, or the receiving end may be a network device or a device for implementing a function of the network device, for example, a chip system, a transceiver, and/or a memory, etc.

As shown in fig. 2a, the training method for the filter coefficients provided by the embodiment of the application may include the following steps:

step 201: the training transmitting end obtains a training signal.

In a possible implementation manner, the training transmitting end in the present application may be a transmitting end for training the filter coefficient, and correspondingly, the training receiving end in the present application may be a receiving end for training the filter coefficient, the training transmitting end may be any transmitting end in fig. 1, and the training receiving end may be any receiving end in fig. 1, for example, the training transmitting end may be a network device or a terminal device. The training receiving end may be a network device or a terminal device, which is not limited herein.

The training transmitting end and the training receiving end can be arranged in a training environment, and the training environment can be provided by simulation software and is used for simulating the environment of receiving and transmitting signals between real-world devices.

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

The parameters of the training environment may include at least one of: the mobile speed of the transmitting end is trained, the mobile speed of the receiving end is trained, and parameters of the channel environment for transmitting training signals, for example, parameters of a channel model corresponding to the channel environment, and the like are trained. The parameters of the channel model corresponding to the channel environment may include: signal to noise ratio, delay spread of the channel, etc. Hereinafter, the details are not described in detail. Parameters of the training environment may also include: at least one of the parameters of the training signal. Wherein the parameters of the training signal include at least one of: the modulation and coding mode of the training signal and the time-frequency resource corresponding to the training signal.

For example, as shown in fig. 1, the training transmitting end included in the training environment is the network device shown in fig. 1, the training receiving end included in the training environment is the terminal device shown in fig. 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 may be a simulation environment based on a road environment, a traffic environment, a building, a bridge, a roadblock and the like, or may be a channel environment determined based on a channel model.

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

For example, the training samples may be parameters of a channel environment determined based on parameters of channel estimation, signal-to-noise ratio, delay spread of a channel obtained from signals transmitted between a network device and a terminal device acquired in a real environment, as parameters of the channel environment in the training environment.

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

Wherein the parameters of the training signal in the training environment may be determined based on the parameters of the signal in the training samples. For example, parameters of the signal in the training samples may include: time-frequency resources of signals in training samples, modulation and coding modes of signals in training samples, and the like. Accordingly, parameters of the training signal in the training environment may include: time-frequency resources of the training signals, modulation and coding modes of the training signals, and the like. That is, the time-frequency resource of the training signal may be determined based on the time-frequency resource of the signal of the training sample, and the modulation coding scheme of the training signal may be determined based on the modulation coding scheme of the signal of the training sample.

The time-frequency resource 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 may be determined based on the communication system corresponding to the training transmitting end and the training receiving end, or may be configured by the network device for the training transmitting end and the training receiving end, or may be determined according to a protocol, which is not limited herein.

It is contemplated that in wireless communications, the selection of a channel modulation coding scheme will affect both channel bit errors and transmission delays. The transmitting end and the receiving end can determine a modulation coding mode such as adaptive modulation coding (adaptive modulation and coding, AMC) based on the channel state information to perform communication. Taking LTE, NR, etc. cellular networks as an example. In downlink communication, a terminal device performs channel state measurement through a reference signal sent by a base station, and feeds back a channel state (or channel quality) to the base station through a channel quality indicator (channel quality indicator, CQI), and the base station determines a modulation and coding strategy (modulation and coding scheme, MCS) level with reference to the CQI. The MCS level corresponds to a modulation and coding scheme, and is transmitted to the terminal device through downlink control information (downlink control information, DCI) to indicate the MCS level that the terminal device should use. In uplink communication, a base station directly measures channel state through a reference signal sent by a terminal device, determines an MCS level, and sends the MCS level to the terminal device through DCI. The base station will adaptively modulate the MCS level when the channel state changes occur upon the channel measurements described above. For example, when the channel state becomes worse, the base station will lower the MCS level, reduce the throughput on the communication link, avoid the increase of the error rate, and ensure the correct reception and demodulation of the communication information; when the channel state becomes good, the base station will raise the MCS level, and improve the throughput of the communication link.

Therefore, the channel environment may also be related to the modulation coding scheme of the training signal. I.e. the modulation coding scheme of the training signal, may be determined based on the channel environment. For example, based on the channel quality adopted by the training environment, the modulation and coding scheme of the training signal corresponding to the channel quality may be determined.

In the present application, the modulation and coding method of the training signal may be determined according to the channel state of the training environment, that is, the network device may determine the modulation and coding method according to the MCS, or the modulation and coding method configured by the network device for the training signal may also be determined according to the scene to be trained or the training target, which is not limited herein.

Considering that the model to be trained in the application is used for training the filter coefficient of the receiving end and/or the transmitting end in a moving state, the parameters of the training environment can also comprise, besides the parameters of the training signal and the parameters of the channel environment: filter parameters (e.g., FBMC overlap factor K), training speed between the transmitting and receiving ends (e.g., relative speed between the transmitting and receiving ends, absolute speed of the transmitting end, absolute speed of the receiving end), etc. For example, as shown in table 1, is one possible example of training parameters.

TABLE 1

Taking a training scenario in which the transmitting end does not move and the receiving end moves as an example, in the example of table 1, the training environment may be a scenario in which the transmitting end does not move and the receiving end moves at a speed of 600 km/h.

Taking the training scenario in which the receiving end does not move and the transmitting end moves as an example, in the example of table 1, the training environment may be a scenario in which the receiving end does not move and the transmitting end moves at a speed of 600 km/h.

Taking a training scenario in which both the receiving end and the transmitting end move as an example, in the example of table 1, the training environment may be a scenario in which the receiving end moves at a speed of 600km/h with respect to the transmitting end.

In this example, when the training signal is modulated by FBMC, the modulation scheme of the training signal may be 4OQAM, and when the training signal is modulated by OFDM, the modulation scheme of the training signal may be 16QAM. The signal to noise ratios in table 1 are merely examples and are not limited herein.

Step 202: the training transmitting end carries out filtering processing on the training signals according to the filter coefficients to be trained, and the filtered training signals are obtained.

In the present application, the filter coefficients to be trained may be based on the filter coefficients corresponding to the filter to be trained. I.e. the filter coefficients may be determined after training based on the model to which the filter coefficients correspond. The training transmitting end can carry out filtering processing on the training signal according to the model of the training transmitting end and transmit the training signal to the training receiving end through a channel set by a training environment, the training receiving end carries out filtering recovery processing on the received signal (namely, the filtered signal transmitted by the training transmitting end) based on the model of the training receiving end, the signal before filtering is estimated, and the model corresponding to the filter coefficient can be trained based on the estimated signal before filtering and the training signal of the training transmitting end. The filter coefficients in the model of the training transmitting end are the same as those in the model of the training receiving end, and after each training, the filter coefficients are synchronously updated.

In consideration of features of the frequency domain filter, which are similar to the convolution process of the convolution kernel in the feature extraction model, the filter coefficients of the frequency domain filter can be trained by using a training method of the deep learning model to obtain the filter suitable for the high-speed motion scene.

It should be noted that, the feature extraction model in the present application may use a deep learning model, such as a neural network model. For example, the neural network model may be a convolutional neural network (convolutional neural network, CNN) model, a recurrent neural network model, or the like. CNN is a deep learning network structure that has been widely used in the field of image recognition at present, which is a feedforward neural network in which artificial neurons can respond to surrounding units. As an example, the embodiment of the present application may use a convolution layer in the CNN model as a model corresponding to the filter to be trained. As shown in fig. 2b (a), is the distribution of the training signal before filtering in the time domain, as shown in fig. 2b (b), is the distribution of the training signal after filtering in the time domain. 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 a training signal, and the training signal can be convolved through the weight coefficient in the convolution kernel, namely, the filtering process of the filter is realized: the training signal is filtered by the filter coefficients. The output of the convolution layer is the filtered result of the training signal. The generalization capability of the filter coefficient after the feature extraction model is learned is strong, and the adaptability to different channel environments is strong. In the following description, a feature extraction module of the CNN model is taken as an example.

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

At the beginning of the first training, the filter coefficient to be trained may be an initial value, and the filter coefficients to be trained of the training transmitting end and the training receiving end are consistent. In some embodiments, to speed up the training of the feature extraction model, the filter coefficients of the PHYDYAS prototype filter may be used as initial values. For example, the initial value of the filter coefficients may be [0, …,0,0.2351,0.7071,0.9720,1.0000,0.9720,0.7071,0.2351,0, …,0] _L. Wherein L is the number of filter coefficients, which may be determined according to the accuracy of the filter and the scene in which the filter is used, and is not limited herein.

Step 203: the training transmitting end transmits 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. The receiving end receives a training signal which is transmitted by the transmitting end and subjected to filtering processing by a filter to be trained in a training scene.

Step 204: and the training receiving end carries out filtering processing on the received training signal according to the filter coefficient to be trained to obtain an estimated value of the received training signal.

In the training scene, after receiving the training signal after filtering the to-be-trained filter sent by the training sending end, the training receiving end can perform filtering processing on the received signal through the corresponding to-be-trained filter, and then estimate the training signal which is not filtered by the sending end, so as to obtain an estimated value of the training signal.

Step 205: the training means trains the filter coefficients based on the training signal and the received estimate of the training signal.

In some embodiments, in step 205, the training apparatus may be a training transmitting end, a training receiving end, or a device or a component for training the filter coefficients, which is not limited herein.

In one possible implementation, after step 201, the training transmitting end may send a training signal to the training device, and after step 204, the training receiving end 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 of the training transmitting end and the training receiving end.

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

For example, as shown in fig. 3a, after the receiving end determines the signal estimation value, the training device may determine a Loss function Loss of the filter coefficient to be trained, where the Loss function may be a function taking 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 sending end is S _m,n, and after the training receiving end carries out the recovery filtering processing on the received signal through the filter to be trained, the estimated value of the signal on the nth symbol of the mth subcarrier of the training sending end before constellation demapping can be obtained

In one possible implementation, the training device may use an Adam optimizer to minimize the Loss function Loss to obtain an adjustment value for the filter coefficients to be trained. For example, the loss function may be derived, and the filter coefficients are shifted in opposite directions along the derivative to obtain an adjustment value for each filter coefficient. When the final training is completed, the signals received by the training receiving end can be regarded as consistent with the training signals before the filtering of the training transmitting end after being recovered by the filter, namely the interference of the channel can be ignored. At this time, the filter performance is optimal.

Of course, the training device may also minimize the loss function in other manners, for example, repeated iterative training using a back propagation algorithm and a random gradient GRADIENT DESCENT (SGD) optimization algorithm, so that the loss function value converges after multiple training of the filter coefficient. 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, e.g., the training receiver may send an estimate of the received signal to the transmitter, and the training transmitter may train the filter coefficients based on the training signal and the estimate of the received signal. After the training process is finished, the training transmitting end can transmit the adjusted filter coefficients to the training receiving end, so that the training receiving end updates the filter coefficients of the training receiving end for the next training.

In other embodiments, the training device may also be a training receiver, for example, the training receiver may obtain a training signal in advance, and train the filter coefficients according to the estimated values of the training signal and the received signal. After the training process is finished, the training receiving end can send the adjusted filter coefficient to the sending end, so that the training sending end updates the filter coefficient of the training receiving end for the next training.

And repeating the training process, and determining that the filter coefficient training is completed when the loss function of the training model is determined to meet the convergence condition. The convergence condition may be that a value of a loss function of the training model is less than a preset threshold. The preset threshold may be determined according to a training target, which is not limited herein.

The trained filter coefficients can be used in a scene matched with the training scene, and the trained filter coefficients used by the transmitting end and the receiving end can be used.

Referring to fig. 2c, fig. 2c is a schematic structural diagram of an apparatus for signal transmission according to the present application. As shown in fig. 2c, the apparatus includes a radio frequency unit (radio frequency unit, RF unit), a transmit module (Tx module), a receive module (Rx module), a processor (processor), and a memory (memory), wherein the Tx module transmits a signal to be transmitted to the RF unit, and the Rx module receives a signal from the RF unit and transmits the signal to the processor for further processing, such as synchronization, channel estimation, channel equalization, and the like.

The transmitting end may be configured to generate a training signal, where the training signal may be a demodulation reference signal, a pilot signal for channel estimation, or a training signal for training filter coefficients, etc. At this time, the transmitting end may be a training transmitting end.

In one possible implementation, the transmitting end may be an FBMC transmitter. Fig. 2d is a schematic structural diagram of an FBMC transmitter according to the present application. The FBMC transmitter may include a constellation Mapping (Mapping) module, an OQAM module, an ensemble 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. Wherein, OFDM-OQAM is specifically based on OQAM modulated OFDM signal. OFDM-OQAM may also be referred to as FBMC or FBMC-OQAM.

One OFDM symbol is also called one block. Communication between communication devices (e.g., between a terminal device and a network device) may be via a single channel; communication may also be via multiple channels. The resource units are also referred to as Resource Blocks (RBs), in one possible implementation, each channel has a width of 2.16GHz when communicating over a 60GHz WLAN, and the spectrum resources of each channel may include 4 resource units, each of which may correspond to 128 subcarriers; when the width of the channel is 2×2.16ghz, that is, when the channel is used for communication through 2 channels, the spectrum resource of each channel may include 8 resource units, where each resource unit corresponds to 256 subcarriers; when the width of the channel is 3×2.16ghz, that is, when the channel is used for communication through 3 channels, the spectrum resource of each channel may include 12 resource units, and each resource unit corresponds to 384 subcarriers; when the width of the channel is 4×2.16ghz, the spectrum resource of each channel may include 16 resource units, each corresponding to 512 subcarriers.

For example, the transmitted signal may be encoded to obtain a bit information stream. And then performing OQAM constellation Mapping on the bit information stream through a Mapping module. After constellation mapping, the transmission signal may be a signal in which M symbols are transmitted on N subcarriers, i.e., 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 may be represented as S _m,n, m=1, 2, …, M, n=1, 2, …, N. Wherein 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 consisting of 0 and 1, the training signal after 4OQAM modulation can be a random complex number sequence consisting of four complex values of +0.7071, -0.7071, +0.7071i, -0.7071 i.

In addition, through the OQAM module, the real part and the imaginary part of the complex signal can be separated, the time interval between the output of the real part and the output of the imaginary part 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 former symbol, and a timing offset of T/2 is introduced on the imaginary part of the latter symbol. So that OFDM-OQAM transmits either purely real or purely imaginary OQAM symbols. Based on the OQAM modulated symbols input to a filter, N subcarriers can be modulated, wherein the interval between every two subcarriers is 1/T. Correspondingly, when the receiving end demodulates, the real part and the imaginary part can be used for processing respectively, so that better interference signal or noise removal is facilitated. In addition, based on the OQAM modulation, the orthogonality of the transmitting signals in the frequency domain and the time domain can be better realized through the real number domain orthogonality characteristic of the prototype filter.

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

Fig. 2e schematically illustrates a schematic diagram of a distribution structure of a training signal in a time domain and a frequency domain, where, as shown in fig. 2e, a horizontal axis represents the time domain, and a vertical axis represents the frequency domain, where the training signal may be randomly dispersed on a time-frequency resource. In the up-sampling process, the transmitting end can determine the sampling multiple of up-sampling according to the overlapping coefficient of the FBMC on the frequency domain of the training signal. The up-sampling may be performed by spreading the signal on each subcarrier by a multiple of the overlap coefficient K of the FBMC in the frequency domain. For example, as shown in fig. 2e, when K is 4, after up-sampling, the training signal S ₁ n corresponds to occupied subcarrier 1, the bit value corresponding to the training signal on subcarrier 2 is 0, the bit value corresponding to the transmission signal on subcarrier 3 is 0, and the bit value corresponding to the training signal on subcarrier 4 is 0. The transmission 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 filtering of the signal in the frequency domain can be realized by the frequency domain filter module. And multiplying the training signals S ₀₀,…,S_mn,…,S_Mn after up sampling with the filter coefficients respectively, and summing. The process of summation after multiplication can be understood as a process in which the convolution kernel convolves the up-sampled training signal. The convolution kernel may be 1*T a in size. T is the number of filter coefficients, which may be determined according to the accuracy of the filter and the scene in which the filter is used, and is not limited herein. The weighting coefficients of the convolution kernel may be filter coefficients.

As shown in fig. 2f, for example, where the filter coefficients consist of 7 non-zero values, the example may be referred to in other ways in which the filter coefficients are of other numbers. Accordingly, the convolution kernel has a size of 1*7, i.e., q= [ Q3, Q2, Q1, Q0, Q1, Q2, Q3], where Q is a set of filter coefficients of the frequency domain filter, Q3, Q2, Q1, Q0, Q1, Q2, Q3 are 7 filter coefficients, respectively, and the set of filter coefficients may be symmetrical about a center. The corresponding filtered signal X _mn after convolving the up-sampled training signal S _mn～S_(m+6)n may be expressed as:

X_mn＝S_mn*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 connection with the example in fig. 2f, the filtered training signal X ₁₁ corresponding to the convolved up-sampled training signal S ₁₁～S₇₁ may be expressed as:

X₁₁＝S₁₁*Q3+S₂₁*Q2+S₃₁*Q1+S₄₁*Q0+S₅₁*Q1+S₆₁*Q2+S₇₁*Q3;

The coefficients of the filter are understood as a weighting coefficient. The filter coefficients are different in value, and the result of filtering the training signal is also different, so that the influence of the frequency spectrum offset under the condition that the terminal moves at high speed can be reduced, and the filter coefficients can be optimized by training the filter coefficients before data transmission.

The filtered training signals are modulated by an IFFT module and then converted into serial time domain signals for transmission. In the frequency domain, the filter coefficients of different data signals are the same, that is, the frequency domain expansion modes are the same in all subcarriers, so that the orthogonality of the filtered signals can be ensured.

Taking FBMC modulation as an example, the transmitting end may include an FBMC receiver, where the structure of the FBMC receiver may be referred to the structure schematic diagram of the FBMC transmitter, as shown in fig. 2g, which is a structure schematic diagram of the FBMC receiver provided by the present application. The FBMC receiver comprises a decoding module, an OQAM module, an analysis filter bank module, a serial-to-parallel converter, a radio frequency module and an antenna.

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

After receiving the signal, the receiving end converts the time domain received signal after serial-parallel conversion into a frequency domain again through FFT, and the frequency domain signal obtains a pilot signal and a data signal after passing through a frequency domain filter and a downsampling module matched with the transmitting end. The downsampling module corresponds to the upsampling module, and the subcarriers occupied by the signals on the subcarriers on the frequency domain are reduced to 1/K times by filtering the received signals by the frequency domain filter. For example, when K is 4, after downsampling, the signal X ₁n～X₄ n is received, corresponding to occupying the 1 st subcarrier, as the signal X' _1n on the 1 st subcarrier after downsampling. The received signal X ₅n～X₇ n, corresponding to the 2 nd subcarrier, is taken as the signal X' _2n on the 2 nd subcarrier after downsampling. Thus, a 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 in consideration of the influence of the channel on the training signal. The method for estimating the channel may 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_tF^H

Wherein F is a discrete Fourier transform matrix with the size of M; in combination with the above example, ht is a lower triangular matrix of 256×256 when the number of subcarriers is 256. The main diagonal or the secondary diagonal of Ht may be used to represent the resolvable time delay paths of the TDL-a channel in the multipath channel model. The greater the interference of the channel to the signal, the greater the number of paths of the resolvable delay paths, and the greater the delay spread of the channel.

The receiver may process the received signal through an FFT and then through an equalizer to reduce or eliminate ISI. There may be multiple equalizers, one for each tap coefficient. The equalized signal may be further processed by a corresponding filter.

One possible implementation manner may be that the receiving end may adopt a single tap equalization manner, that is, the equalizer may adopt diagonal elements { H ₁₁,h₂₂,…h_MM } of the frequency domain multipath channel matrix H to perform equalization on the received signal, where an equalization matrix corresponding to the equalizer at the receiving end satisfies:

G_{one_tap}＝diag{g₁₁,q₂₂,…g_MM}

Wherein, the equalization matrix is a diagonal matrix, and diagonal elements satisfy:

wherein conj (·) represents complex conjugate, |·| represents modulus of complex, Representing 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, etc., by the tap coefficients of the equalizer. One equalizer may include at least one tap coefficient, and in addition, a multi-stage equalizer may be provided, each of which corresponds to at least one tap coefficient. The equalized signal and the signal before equalization satisfy the following formulas:

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

Where Index i represents the i-th tap coefficient of the equalizer, input n represents the m-th signal Input to the equalizer, e.g., received training signal X' _mn, output n represents the m-th signal Output.

It will be appreciated that the equalizer is generally based on a model of the tap delay line, and that the tap coefficients may be understood as a weighting coefficient. The tap coefficients have different values and the result of equalizing the signal is different.

After the receiving end performs tap equalization and filter processing 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 of the transmitting end before constellation demapping can be obtainedIn some embodiments, the training device may estimate the channel based on the estimate.

For example, as shown in fig. 3a, after the receiving end determines the signal estimation value, the training device may determine a Loss function Loss of the filter coefficients to be trained. 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. In one possible implementation, the training device may minimize the Loss function Loss using an Adam optimizer. Of course, the training device may also minimize the loss function in other manners, for example, repeated iterative training using a back propagation algorithm and a random gradient GRADIENT DESCENT (SGD) optimization algorithm, so that the loss function value converges after multiple training of the filter coefficient. 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 was performed with the parameters of table 1, i.e., training the filter coefficients based on a low order modulation scheme.

The performance of the terminal device in a different mobile scenario may be as shown in fig. 3b (a) compared to the untrained OFDM modulation, or the FBMC modulation of the prototype filter. Fig. 3b (b) includes bit error rate curves of received signals when the transmitting and receiving ends use filters of OFDM in test channels of 300km/h and 600 km/h.

Fig. 3b (c) includes bit error rate curves of transmitting and receiving ends using PHYDYAS filters (FBMC-P) tested in test channels of 300km/h and 600 km/h.

The (d) in fig. 3b includes bit error rate curves of transmitting and receiving ends tested in test channels of 300km/H and 600km/H using Hermite filter (FBMC-H).

Fig. 3b (e) includes bit error rate curves of transmitting and receiving ends tested in test channels of 300km/h and 600km/h using a trained filter (FBMC-T). The trained filter is a filter (FBMC-T) trained in a training environment with a moving speed of 600km/h and a low-order modulation mode.

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

In addition, the results of the test channels for different moving speeds (300 km/h and 600 km/h) also show that compared with an untrained filter, when the filter coefficient trained by using a single moving speed is used, even if the moving speed of a transmitting end or a receiving end is different from the moving speed adopted in training, the performance of the filter can be improved, namely, the filter coefficient trained by using the single moving speed still has better robustness when the moving speed changes.

Example 2, respective filter coefficients were trained separately for different movement speeds. For example, the movement speeds for training include 100,300, 600km/h, etc. At this time, the training device may train a set of filter coefficients according to 100km/h, and the training device may train a set of filter coefficients according to 300 km/h. The training means may train a set of filter coefficients according to 600 km/h. As shown in table 2.

TABLE 2

Number of subcarriers	256	Number of symbols	16
				Modulation scheme	4OQAM	Subcarrier spacing	15kHz
Carrier frequency	4GHz	Speed of movement [ km/h ]	100,300,600
				Signal to noise ratio	20dB	FBMC overlap coefficient	4

The test is performed based on the 3 sets of filter coefficients after training, and as shown in (a) in fig. 3c, in a scenario where the moving speed of the transmitting end or the receiving end is 100km/h, 300km/h or 600km/h, the 3 sets of filter coefficients are used to filter the transmitting signal, and the receiving end receives the bit error rate curve of the signal.

As shown in (b) of fig. 3c, an error rate curve obtained by testing a filter coefficient trained at a moving speed of 600km/h is used in a scene where the moving speed of the transmitting end or the receiving end is 100km/h, 300km/h or 600 km/h.

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

As shown in (d) of fig. 3c, an error rate curve obtained by testing a filter coefficient trained at a moving speed of 100km/h is used in a scene where the moving speed of the transmitting end or the receiving end is 100km/h, 300km/h or 600 km/h.

It can be seen from this fig. 3c that the 3 sets of filter coefficients trained at different movement speeds result in similar bit error rates in the test channels at the same movement speed. 3 sets of filter coefficients trained at a mobile speed of 100km/h, 300km/h or 600km/h, the error rate of the obtained signal being close in the test channel of 100 km/h. The 3 groups of filter coefficients are in a test channel of 300km/h, and the error rate of the obtained signal is close. And 3 groups of filter coefficients, wherein the error rate of the obtained signal is close to that of the obtained signal in a 600km/h test channel. The method shows that the filter coefficient trained based on the low modulation order has certain robustness to the moving speed, and the filter coefficient does not need to be correspondingly trained for each moving speed.

In the present application, the low-order modulation order is 2-order, and the high-order modulation order is a modulation order greater than 2-order. Namely, 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 higher order modulation coding scheme may be greater than or equal to other preset values, for example, the other preset values may be 2 nd order, 3 rd order, 4 th order, etc.

For the scene of low-order modulation order, the influence of the moving speed of the receiving end on the trained filter coefficient is small. Therefore, in the scenario of transmitting data using a low-order modulation order, the performance requirements of the filter at different moving speeds of the receiving end can be satisfied by training the filter coefficient based on a preset moving speed. The training overhead is reduced.

Considering that the requirements on the performance of the filter may be different according to the service requirements when transmitting data, the filter coefficient may be tested after the training of the filter coefficient is completed, and when the low-order modulation order transmission data signal is obtained, whether the performance requirement of the filter and the possible range of the moving speed of the transmitting end or the receiving end in the service scene are met or not meets the performance requirement of the filter. Or an acceptable range of the moving speed of the transmitting end or the receiving end may also be determined.

For example, in the training process, the training is performed at 600km/h, and in the testing process, whether the error rate of the received signal meets the requirement in the range of the moving speed can be determined according to the possible range of the moving speed of the receiving end in the service scene, for example, [0,2400] km/h. Or according to the error rate of the received signal, determining the acceptable range of the moving speed of the receiving end as [100,1200] km/h. Thus, conditions under which the trained filter coefficients are applicable, such as applicable traffic, or applicable movement speed of the receiving end, etc., are determined.

Thus, when the transmitting end or the receiving end determines that the transmitted data meets the conditions applicable to the trained filter coefficients, the filter coefficients are used for filtering signals of the data to be transmitted. To improve the transmission performance of signals of data to be transmitted.

Example 3 the filter coefficients are trained separately for the parameters of the different multipath channel models.

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

H＝FH_tF^H

Wherein F is a discrete Fourier transform matrix with the size of M; in combination 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 a main/secondary diagonal of Ht, and the larger the delay spread of the channel is, the larger the number of paths of the resolvable delay paths is, and the larger the interference of the channel on signals is. In the present application, the coefficients on each resolvable delay path (primary/secondary diagonal) may be generated by a Jakes spectrum model in consideration of the maximum doppler shift 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 means may train a set of filter coefficients according to 50ns and the training means may train a set of filter coefficients according to 300ns. The values of the parameters of the training environment may be as shown in table 3.

TABLE 3 Table 3

Number of subcarriers	256	Number of symbols	16
				Modulation scheme	4OQAM	Subcarrier spacing	15kHz
Carrier frequency	4GHz	Multipath channel model	TDL-A
				Speed of movement	600km/h	Delay spread	50ns,300ns
Signal to noise ratio	20dB	FBMC overlap coefficient	4

The test is performed based on the 2 sets of filter coefficients after training, and as shown in (a) of fig. 3d, in a scenario where the moving speed of the transmitting end or the receiving end is 600km/h and the time delay is different, the bit error rate curve of the signal received by the receiving end after the transmitting signal is filtered by using the 2 sets of filter coefficients respectively.

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

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

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

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

As can be seen from fig. 3d, the 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 parameter are applied to different delay spread scenes, the error rates of the signals are similar, which indicates that the filter coefficients trained under the low modulation order have a certain robustness to the variation of the channel.

Example 4 the filter coefficients are trained separately for different modulation orders. For example, the modulation orders trained may include 4OQAM and 16OQAM, etc. At this time, the training device may train a set of filter coefficients according to 4OQAM, and the training device may train a set of filter coefficients according to 16 OQAM. Training parameters are shown in Table 4, and at a moving speed of 600km/h, the 2 groups of filter coefficients are trained by the 4OQAM modulation mode and the 16OQAM modulation mode respectively, and the bit error rate of the 2 groups of filter coefficients is tested at the moving speed of 600 km/h. As shown in fig. 3e, (a), the test results were obtained by transmitting and receiving signals using different modulation schemes at a moving speed of 600km/h for the filter coefficients trained in the modulation scheme of 4OQAM, and by transmitting and receiving signals using different modulation schemes at a moving speed of 600km/h for the filter coefficients trained in the modulation scheme of 16 OQAM.

TABLE 4 Table 4

Number of subcarriers	256	Number of symbols	16
				Modulation scheme	4OQAM,16OQAM	Subcarrier spacing	15kHz
Carrier frequency	4GHz	Speed of movement	600km/h
				Signal to noise ratio	20dB	FBMC overlap coefficient	4

As shown in fig. 3e (b), in the scenario where the modulation modes of the test signal are 4OQAM and 16OQAM, the filter coefficients trained by the training signal of 4OQAM are tested to obtain an error rate curve.

As shown in (c) of fig. 3c, in a scenario where the modulation modes of the test signal are 4OQAM and 16OQAM, the filter coefficients trained by the training signal of 16OQAM are tested to obtain an error rate curve.

As can be seen from fig. 3e, the performance of the bit error rate of the received signal can still be guaranteed when using filter coefficients trained with different modulation orders at the same movement speed.

Example 5 the filter coefficients were trained for the higher order modulation order and different movement speeds, respectively. For example, the modulation order of training may include 16OQAM, or the like. The movement speed for training may include 100,300 and 600km/h, etc. At this time, the training device may train a set of filter coefficients under 16OQAM according to 100km/h, and the training device may train a set of filter coefficients under 16OQAM according to 300 km/h. The training means may train a set of filter coefficients at 16OQAM according to 600 km/h. For example, the training parameters may be as shown in table 5, and the test results are as shown in fig. 3 f.

TABLE 5

Number of subcarriers	256	Number of symbols	16
				Modulation scheme	16OQAM	Subcarrier spacing	15kHz
Carrier frequency	4GHz	Speed of movement km/h	100，300，600
				Signal to noise ratio	20dB	FBMC overlap coefficient	4

As shown in fig. 3f (a), the test results of the transmit/receive signals of the filter coefficients corresponding to the different moving speeds trained in the modulation scheme of 16OQAM under the test channels of the different moving speeds are included. For example, when the test channel corresponds to a moving speed of 100km/h, the test is performed by using 3 sets of trained filter coefficients respectively. And when the test channel corresponds to the moving speed of 300km/h, respectively adopting 3 groups of trained filter coefficients for testing. And when the test channel corresponds to the moving speed of 600km/h, respectively adopting 3 groups of trained filter coefficients for testing.

As shown in (b) of fig. 3f, an error rate curve obtained by testing a filter coefficient trained at a moving speed of 300km/h is used in a scene where the moving speed of the transmitting end or the receiving end is 100km/h, 300km/h or 600 km/h.

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

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

According to the test result, the performance of the bit error rate of the received signal can be ensured when the filter coefficients trained by using different modulation orders at the same moving speed can be determined. In addition, compared to the example of fig. 3c, it can be seen that the moving speed has a larger influence on the bit error rate performance of the signal when the higher order modulation order is adopted than the lower order modulation order scene.

Referring to fig. 4, a flowchart of the data transmission method according to an embodiment of the present application is shown. In the following description, this method is exemplified as applied to the communication system shown in fig. 1. In addition, the method may be performed by two communication devices, such as a transmitting end and a receiving end. Comprising the following steps:

Step 401: the transmitting end obtains a first signal.

Wherein the first signal may be a signal to be transmitted. The signal may include a pilot signal and a data signal, which may be used to carry data for parsing by the receiving end. The pilot signal may be a demodulation reference signal, a pilot signal for channel estimation, a training signal, or the like.

The parameters of the first signal may include: modulation and coding scheme of the first signal, time-frequency resources corresponding to the first signal, and the like. For example, the first signal may be determined under parameters of a first signal such as a preset modulation coding scheme, a preset time-frequency resource (the number of subcarriers carrying the training signal, the number of symbols, a subcarrier interval, a carrier frequency), or may be determined according to a channel state between the transmitting end and the receiving end and an allocable time-frequency resource.

The modulation and coding modes of the first signal determined by the transmitting end and the receiving end can be various, and are exemplified by scenario 1-scenario 3 below.

In 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 mode of the first signal may be determined based on the connection between the network device and the terminal device, or may be determined after the connection is established. For example, when the network device configures resources to the terminal device, the modulation and coding mode of the first signal may be that the network device sends the resources to the terminal device through downlink control signaling, and considering a scenario of using a modulation and coding policy, the network device may determine an MCS level according to CQI reported by the terminal device, and the network device may send the MCS level to the terminal device through downlink control information (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 coding scheme of the first signal. For another example, the modulation and coding scheme of the first signal may be that the network device sends higher layer signaling to the terminal device, or may be determined according to a mode specified by a protocol, which is not limited herein.

In scenario 2, taking the transmitting end as a terminal device and the receiving end as a network device as an example, the modulation and coding mode of the first signal may be determined based on the connection between the network device and the terminal device, or may be determined after the connection is established, and the network device may send the modulation and coding mode of the first signal to the terminal device.

In scenario 3, taking the transmitting end as the terminal device and the receiving end as the terminal device as an example, the modulation and coding mode of the first signal may be determined based on the terminal device and the terminal device when the sidestream connection is established, or may be configured for the transmitting end and the receiving end based on the network device after the sidestream connection is established. Taking the transmitting end as the terminal device 1 and the receiving end as the terminal device 2 as an example, the terminal device 1 establishes a connection with the network device, and at this time, the network device may send the modulation coding scheme of the first signal to the terminal device 2 through the terminal device 1. Specifically, the method comprises the following steps: the network device indicates the modulation and coding scheme of the first signal to the terminal device 1 through the downlink control signaling, and after receiving the downlink control signaling, the terminal device 1 determines the modulation and coding scheme of the first signal, and sends the modulation and coding scheme of the first signal to the terminal device 2 through the side downlink, for example, the modulation and coding scheme of the first signal may be carried in the side control signaling.

Step 402: the transmitting end carries out filtering processing on the first signal according to the filter coefficient to obtain a filtered first signal.

The transmitting end can select the trained filter coefficient as the filter coefficient of the first signal for filtering processing when the moving speed of the transmitting end and/or the receiving end can be larger than a preset threshold value.

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 50km/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 the filtering processing of the first signal.

For another example, the preset thresholds may be set according to the types of the transmitting end and the receiving end, respectively. For example, a sender movement speed threshold, a receiver movement speed threshold, a relative movement speed threshold between the sender and the receiver may be set. When the moving speed of the transmitting end is larger than the moving speed threshold value of the transmitting end, the trained filter coefficient is selected as the filter coefficient for filtering the first signal. Or the moving speed of the receiving end is larger than the moving speed threshold of the receiving end, and the trained filter coefficient is selected as the filter coefficient for filtering the first signal. For another example, when the relative movement speed between the transmitting end and the receiving end is greater than the relative movement speed threshold between the transmitting end and the receiving end, the trained filter coefficient is selected as the filter coefficient for the filtering processing of the first signal.

In some embodiments, the manner in which the transmitting end selects the trained filter coefficient performs filtering processing on the first signal, which may be determined according to parameters of the first signals sent by the transmitting end and the receiving end, or may be determined by the transmitting end determining a moving speed of the transmitting end and/or a 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 determined by a predetermined manner of the transmitting end and the receiving end, or may be determined according to a scene in which the transmitting end and the receiving end are located or a type of the receiving end, which is not limited herein. The following is exemplified in manner A1 to manner A3. Specific scenarios are described in scenarios 1-3 below, and are not described in detail herein.

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

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

In some embodiments, the trained filter coefficients are determined according to a modulation 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 a filter coefficient corresponding to training of 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 coefficient may be the filter coefficient trained in table 1 or table 3.

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

In one possible manner, after determining the modulation coding mode of the first signal and the time-frequency resource (such as 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 coding mode, the number of subcarriers, the number of symbols, the subcarrier spacing, the carrier frequency, etc. of the first signal may be determined, and the filter coefficient corresponding to the training signal is 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 may be determined that the training signal may correspond to the training signal in table 1 or table 3, and the corresponding trained filter coefficient may be the filter coefficient trained in table 1 or table 3.

In mode A2, the trained filter coefficient may be further determined according to a parameter of the first signal, a moving speed of the receiving end, and a moving speed of the transmitting end. Or the filter coefficient is determined according to the parameter of the first signal and the moving speed of the receiving end; or the filter coefficient is determined according to the parameter 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 coding scheme of the first signal.

For example, when the modulation and coding scheme of the first signal is a low-order modulation scheme, the filter coefficient obtained by training under any one of the training parameters may be selected as the filter coefficient of the first signal.

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

For example, when the modulation and coding scheme of the first signal is a higher order modulation scheme, the filter coefficient trained at the moving speed may be determined according to the moving speed of the receiving end and/or the moving speed of the transmitting end. The filter coefficient trained in the moving speed interval can be determined according to the moving speed of the receiving end and/or the moving speed interval satisfied by the moving speed of the transmitting end.

For example, when the moving speed of the receiving end is 600km/h, the training environment may be selected as the filter coefficient obtained by training when the moving speed of the receiving end is 600 km/h. Other parameters of the training environment (e.g., modulation coding scheme, channel parameters, etc.) may be different from the parameters of the first signal.

For another example, when the moving speed of the receiving end is 600km/h, the moving speed interval satisfied by the moving speed can be determined to be [500,700] km/h, so that the training environment can be selected as the filter coefficient obtained by training under the condition that the moving speed satisfies the moving speed interval of [500,700] km/h. Other parameters of the training environment (e.g., modulation coding scheme, channel parameters, etc.) may be different from the parameters of the first signal.

In mode A3, the trained filter coefficient may be a filter coefficient obtained after training under a training parameter different from a parameter of the first signal.

One possible scenario may be to select a trained filter coefficient under a training parameter that is different from at least one of the parameters of the first signal when the performance impact of the at least one of the parameters of the first signal and the trained filter coefficient is not great. For example, in consideration that the modulation and coding scheme of the first signal has little influence on the performance of the filter when the moving speed of the receiving end is the same as the moving speed of the training receiving end, the filter coefficients may be obtained after training based on a training signal of a modulation and coding scheme different from the modulation and coding scheme of the first signal, for example, as shown in fig. 3e, the filter coefficients trained under 4OQAM may be selected, or the filter coefficients trained under 16OQAM may be selected.

In some embodiments, the trained filter coefficients may be any of the trained filter coefficients. For example, in connection with example 1, a filter coefficient trained under any one of the training parameters may be selected as the filter coefficient of the first signal.

In other embodiments, the trained filter coefficients may be trained based on training environments that partially match or do not match the parameters of the first signal, and the speed of movement of the transmitting and or receiving ends partially match or do not match.

It is contemplated that the filter may include frequency domain filtering and time domain filtering. Taking FBMC as an example, frequency domain filtering may be implemented using an extended FFT, and time domain filtering may be implemented using a polyphase filter network. The following is an illustration of mode B1 and mode B2.

In the mode B1, the filter filters the signal using a frequency domain filter.

The filter coefficients of the frequency domain filter may be the trained filter coefficients of fig. 2 a. After determining the trained filter coefficient, the transmitting end upsamples the first signal on the frequency domain, wherein the upsampling multiple is the overlapping coefficient of the 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. For the specific filtering process, reference may be made to the implementation in step 202, which is not described herein. Of course, other filters may be used, and the filtering is performed by the trained filter coefficients, which are not described herein.

In mode B2, the filter filters the signal using a time domain filter.

At this time, considering that the trained filter coefficient is a coefficient of the frequency filter, the trained frequency domain filter coefficient may be converted into a time domain filter coefficient of the time domain filter by time-frequency transformation, and the time domain filter coefficient is used to perform time domain filtering on the first signal to obtain a filtered first signal.

As shown in fig. 5a, the filter is a time domain filter, and in this case, the synthesis filter bank module at the transmitting end may include: an inverse fast fourier transform (INVERSE FAST fourier transformation, IFFT) module and a polyphase filter bank (poly phase network, PPN) module.

The transmitting end can map the signals (pilot signals and data signals) processed by the OQAM to time-domain signals through the IFFT module, and can filter the transmitting signals in the time domain through the PPN module, and the time-domain response of the filter is used to multiply the data signals S _m,n with the filter coefficients. Each part of PPN requires a corresponding number of multiplications based on the overlap coefficients of the FBMC. For example, when the overlap coefficient of FBMC is 4, there are 4 multiplications per part of PPN. The number of subcarriers of the FFT of the signal may be kept unchanged in the frequency domain.

The filtering of the signal in the time domain can be realized through the time domain filter module. Fig. 5b is a schematic flow chart of a filtering method of an FBMC filter according to an embodiment of the present invention. And multiplying the filter coefficients according to the data signal S ₀₀,S_mn,…,S_Mn. The multiplication process may be understood as a process of filtering the data signal. T is the number of filter coefficients, which may be determined according to the accuracy of the filter and the scene in which the filter is used, and is not limited herein.

The time domain filter coefficients may be determined from the trained frequency domain filter coefficients after time-frequency transformation. For example, the frequency domain filter coefficients may be formed by 7 non-zero values, and the time domain filter coefficients after the time-frequency change may also be formed by 7 non-zero values, i.e., o= [ O3, O2, O1, O0, O1, O2, O3], where O is a set of filter coefficients of the time domain filter, O3, O2, O1, O0, O1, O2, O3 are 7 filter coefficients, respectively, and the set of filter coefficients may be symmetrical about a center. The corresponding filtered signal X _mn after filtering S _mn may be represented as ：[S_mn*O3,S_mn*O2,S_mn*O1,S_mn*O0,S_mn*O1,S_mn*O2,S_mn*O3].

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

In the combination mode B1, the transmitting end modulates the filtered first signal through the IFFT module and converts the modulated first signal into a serial time domain signal for transmission. The manner in which the transmitting end transmits the filtered first signal to the receiving end may refer to the manner in which the transmitting end transmits the filtered training signal to the receiving end, which is not described herein.

In combination with mode B2 and with fig. 5B, the transmitting end converts the filtered signal into a serial time domain signal and transmits the serial time domain signal.

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

Step 404: and the receiving end carries out filtering processing on the received first signal according to the trained filter coefficient.

In this scenario, the manner in which the receiving end selects the trained filter coefficient 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 moving state, or may be a manner in which the transmitting end and the receiving end are pre-agreed, which is not limited herein. Reference may be made specifically to the manner in step 402, and details are not repeated here.

The filter coefficient may also be a trained filter coefficient determined by the receiving end, for example, according to a predetermined manner of the receiving end and the transmitting end, the trained filter coefficient is determined respectively. 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 is not described herein. Or the filter coefficient may also be indicated by the transmitting end to the receiving end, for example, the filter coefficient may be determined by the receiving end according to first information sent by the transmitting end, where 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, e.g., RRC signaling, higher layer signaling, etc. The application is not limited. The first information may carry filter coefficients, or may carry information indicative of the filter coefficients. For example, after the training device trains 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 a specific value for each of the filter coefficients, and may be used to indicate a type of filter coefficient. After the transmitting end determines the filter coefficient to be used, the indication information of the filter coefficient may be index information of the filter coefficient. Thus, after the receiving end receives the first information, the filter coefficient indicated by the transmitting end can be determined according to the index information of the filter coefficient.

In combination with mode B1, the filter filters the signal using a frequency domain filter.

The filter coefficients of the frequency domain filter may be the trained filter coefficients of fig. 2 a. After determining the trained filter coefficient, the receiving end performs filtering processing on the received first signal according to the trained filter coefficient to obtain a first signal, and 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 is not described herein.

In combination with the mode B2, when the filter is a time domain filter, as shown in fig. 5B, the analysis filter bank module at the receiving end may include: an FFT module and a polyphase filter bank (poly phase network, PPN) module.

Correspondingly, after receiving the signal, the receiving end passes the time domain receiving signal after serial-parallel conversion through a filter (for example, PPN) matched with the transmitting end, and then transforms the time domain receiving signal after filtering processing of the filter to a frequency domain through an FFT module, so as to obtain a pilot signal and a data signal. The channel estimation can be performed through the pilot signal, and the processed data signal can be decoded, so that a final receiving signal can be obtained.

By the method, the influence of Doppler frequency offset of a channel under the influence of the moving speed on the signal transmission performance can be effectively improved, the situation that the receiving end and the transmitting end do not move can be compatible, and the performance of the filter is ensured.

The following is illustrated with scenario 1-scenario 3.

Scene 1, wherein the sending end is network equipment, and the receiving end is terminal equipment. The receiving end is in a moving state. I.e. the movement speed of the receiving end is greater than 0.

Referring to fig. 6, a flowchart of the data transmission method according to an embodiment of the present application is shown. In the following description, this method is exemplified as applied to the communication system shown in fig. 1. In addition, the method may 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. Comprising the following steps:

Step 601: the network device obtains the movement speed of the terminal device.

The manner in which the network device determines that the terminal device is in a mobile state may vary and is illustrated below in manner C1-manner C3.

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

For example, when the terminal device includes a GNSS positioning apparatus, the terminal device may determine the moving speed of the terminal device according to the GNSS positioning apparatus, for example, when the terminal device includes sensing apparatuses such as a radar and a camera, the moving speed of the terminal device may be determined according to the sensing apparatuses, or may be determined by combining environmental information obtained by the GNSS positioning apparatus and the sensing apparatuses, which is not limited herein.

The mode of the terminal device feeding back the moving speed of the terminal device to the network device may be periodic feedback. The terminal equipment may determine that the moving speed of the terminal equipment changes and then feed back the moving speed, or the network equipment may send a request message for obtaining the moving speed of the terminal equipment to the terminal equipment and then feed back the moving speed of the terminal equipment to the network equipment.

In consideration of the fact that the filter obtained by training has a certain sensitivity to the moving speed of the transmitting end or the receiving end, the moving speed of the transmitting end or the receiving end can be divided into a plurality of moving speed sections. For example, the terminal device changes in a movement speed section in which the movement speed of the terminal device is located, which may be determined based on a movement speed section to which the trained filter coefficients are applied. The movement speed interval may be determined according to the performance of the filter coefficient corresponding to the test result of the trained filter coefficient at different movement speeds, or may be determined according to other manners such as service requirements, which is not limited herein. For example, when it is determined that the moving speed of the receiving end is changed from one moving speed section to another moving speed section, it is determined that the moving speed of the receiving end is changed. Of course, the change in the movement speed of the receiving endpoint may be determined by other means, which is not limited herein.

In the mode C2, the terminal device may measure the movement speed of the terminal device according to a measurement device other than the terminal device, and then send the movement speed of the terminal device to the network device. For example, the measurement device outside the terminal device may be a base station, a GNSS, a road side unit or other terminal device. Thus, the moving speed of the receiving end is measured by positioning according to a base station, GNSS positioning or a roadside unit.

In the mode C3, the network device may estimate, according to the base station positioning mode, a movement speed interval in which the movement speed of the terminal device is located, and obtain an estimated value of the movement speed of the terminal device.

Or the measuring device may report the movement speed of the terminal device to the network device. For example, after the measuring device obtains the moving speed of the terminal device, the moving speed of the terminal device is fed back to the network device.

The manner in which the measuring device feeds back the movement speed of the terminal device to the network device may be a periodic feedback. The method may also be that the measurement device determines that the movement speed of the terminal device changes and then feeds back the movement speed, or that the network device sends a request message for obtaining the movement speed of the terminal device to the measurement device and then feeds back the movement speed of the terminal device to the network device after the measurement device determines the movement speed of the terminal device.

For example, the network device may send a request for measuring the movement speed of the terminal device to the measurement device, and after the measurement device obtains the movement speed of the terminal device, feed back the movement speed of the terminal device to the network device. Or the measuring equipment feeds back the moving speed of the terminal equipment to the network equipment when determining that the moving speed of the terminal equipment changes.

For example, the measuring device changes in a movement speed interval in which the movement speed of the terminal device is located, which movement speed interval may be determined based on a movement speed interval in which the trained filter coefficients are applicable. The movement speed interval may be determined according to the performance of the filter coefficient corresponding to the test result of the trained filter coefficient at different movement speeds, or may be determined according to other manners such as service requirements, which is not limited herein. For example, when it is determined that the moving speed of the receiving end is changed from one moving speed section to another moving speed section, it is determined that the moving speed of the receiving end is changed. Of course, the change in the movement speed of the receiving endpoint may be determined by other means, which is not limited herein.

Step 602: the network device determines the filter coefficients according to the movement speed of the terminal device.

The filter coefficient is 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 transmitted. The signal may include a pilot signal and a data signal, which may be used to carry data for parsing by the receiving end. The pilot signal may be a demodulation reference signal, a pilot signal for channel estimation, a training signal, or the like.

The modulation and coding scheme 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 scheme of the first signal may be that the network device transmits the first signal to the terminal device through the downlink control signaling when configuring the resource to the terminal device, and for example, the modulation and coding scheme of the first signal may also be that the network device transmits the first signal to the terminal device through a higher layer signaling, or may be determined according to a protocol, which is not limited herein. The method of step 401 may be referred to specifically, and will not be described herein.

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 various ways, and are exemplified in ways a1 to a3 below.

In the mode a1, after determining that the terminal device is in a mobile state, the network device performs filtering processing on a first signal to be sent by using the trained filter coefficient, and sends the filtered first signal to the receiving end. Correspondingly, the terminal device can use the trained filter coefficients after being in a mobile state.

When the filtered first signal is sent to the terminal equipment, the terminal equipment receives a second signal, wherein the second signal can be the filtered first signal sent to the terminal equipment after the network equipment passes through a channel. After the receiving end determines that the receiving end is in a moving state, the terminal equipment can use the trained filter coefficient to carry out filtering recovery processing on the second signal to obtain an estimated first signal before filtering, and further, according to the estimated first signal before filtering, data of the first signal are obtained.

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

For example, the network device may send first information to the terminal device, the first information being indicative of the filter coefficients.

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

Wherein the first information is used to indicate filter coefficients. The filter coefficients may be filter coefficients of the first signal that are filtered.

In some embodiments, the first information may be carried by control signaling, e.g., RRC signaling, higher layer signaling, etc. The application is not limited. The first information may carry filter coefficients, or may carry information indicative of the filter coefficients. For example, after the training device trains 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 a specific value for each of the filter coefficients, and may be used to indicate a type of filter coefficient. After the transmitting end determines the filter coefficient to be used, the indication information of the filter coefficient may be index information of the filter coefficient. Thus, after the receiving end receives the first information, the filter coefficient indicated by the transmitting end can be determined according to the index information of the filter coefficient. For another example, the first information may be indication information corresponding to a moving speed interval, so that the receiving end may determine, according to the moving speed interval, a filter coefficient corresponding to the moving speed interval.

In the mode a3, the network device may negotiate the filter coefficient used by the network device in advance with the terminal device, and after the negotiation is completed, the network device performs filtering processing on the first signal to be sent by using the trained filter coefficient, and sends the filtered first signal to the receiving end. When the filtered first signal is sent to the terminal equipment, the terminal equipment receives the second signal, the terminal equipment can use the trained filter coefficient to carry out filtering recovery processing on the second signal to obtain an estimated first signal before filtering, and further, data of the first signal are obtained according to 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, the network device may negotiate in advance with the terminal device to communicate through the trained filter coefficients, considering that the vehicle is in a mobile state in most of the scenes after the vehicle is started. Therefore, after the negotiation is completed, the network device may select the trained filter coefficient to perform filtering processing on the first signal, and after the terminal device determines that the negotiation is completed, the terminal device may select the trained filter coefficient to perform corresponding processing on the received second signal. Reducing the delay of signal processing.

For another example, when the network device and the terminal device establish communication connection, the terminal device may report whether the terminal device is in a mobile state for a long period of time, that is, whether the trained filter coefficient is selected for filtering processing. Correspondingly, after receiving the information, the network device may select the trained filter coefficient to perform filtering processing on the first signal. Further, the terminal device may report a time period when the terminal device is in a mobile state, and at this time, the network device may select the trained filter coefficient to perform filtering processing on the first signal in the corresponding time period. The network device may also select untrained filter coefficients of the prior art to filter the first signal during other time periods. And, during these time periods, the terminal device may process the received filtered first signal based on the untrained filter coefficients. Of course, considering the problem of delay of the transmitted signal, the terminal device may also select the trained filter coefficient to process the received filtered first signal when the received signal cannot be resolved correctly, so as to improve the performance of the received signal at the receiving end.

The corresponding filter coefficients when the network device determines that the terminal device is in a mobile state can be in a number of ways, which are exemplified in the following in ways c 1-c 2.

In the mode c1, the network device may determine that the terminal device is in a moving state according to the moving speed of the terminal device, and may determine the filter coefficient by referring to the mode of determining the filter coefficient in step 402.

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

That is, the network device may update the filter coefficients when a movement speed section, which the movement speed of the terminal device satisfies, changes. Of course, when the moving speed interval satisfied by the moving speed of the terminal device is not changed, the network device may use the filter coefficient adopted when the network device sends the signal last time, so as to reduce the processing complexity of the network device.

In one possible implementation manner, the network device and the terminal device determine, through a negotiation manner, a filter coefficient corresponding to a moving speed interval satisfied by a moving speed of the terminal device. For example, the network device updates the filter coefficients when the movement speed section, which the movement speed of the terminal device satisfies, changes. After the terminal equipment determines that the moving speed interval which is met by the moving speed of the terminal equipment changes, the filter coefficients are synchronously updated. At this time, after the network device updates the filter coefficients, the terminal device may not be notified that the filter coefficients employed by the first signal have been updated.

In another possible implementation manner, the terminal device determines whether to update the filter coefficients in a manner indicated by the network device. For example, the network device updates the filter coefficients when the movement speed section, which the movement speed of the terminal device satisfies, changes. After updating the filter coefficients, the network device sends first information to the terminal device, where the first information is used to indicate the updated filter coefficients. And after receiving the first information, the terminal equipment updates the filter coefficients. After the terminal device determines that the moving speed interval satisfied by the moving speed of the terminal device changes, but does not receive the first information, the filter coefficient may not be updated. And ensuring the consistency of the filter coefficients used by the network equipment and the terminal equipment.

For another example, the network device determines whether to update the filter coefficients by means of a manner indicated by the terminal device. For example, the terminal device updates the filter coefficients when a movement speed section, which the movement speed of the terminal device satisfies, changes. After updating the filter coefficients, the terminal device sends first information to the network device, where the first information is used to indicate the updated filter coefficients. The network device updates the filter coefficients upon receiving the first information. After the network device determines that the moving speed interval satisfied by the moving speed of the network device changes, the filter coefficient may not be updated when the first information is not received. And ensuring the consistency of the filter coefficients used by the network equipment and the terminal equipment.

In the mode c2, the network device may determine the filter coefficients according to the movement speed section in various modes. The following is exemplified in way c2.1 and in way c 2.2.

The training parameters matched with the moving speed of the terminal device in the mode c2.1 may be determined after the trained filter coefficients corresponding to the training parameters meet the moving speed training of the terminal device.

For example, when determining that the moving speed of the terminal device is 100km/h, the trained filter coefficient may be corresponding to the trained filter coefficient based on the training parameters of table 1, as the trained filter coefficient corresponding to the first signal. Considering the overhead of training, the moving speed interval of the receiving end to which the trained filter coefficient is applied may be set, for example, the trained filter coefficient is trained at 100km/h, and at this time, the moving speed interval of the receiving end to which the trained filter coefficient is applied may be set to [0,200] km/h. The size of the interval may be determined according to the performance of the filter coefficient corresponding to the test result, or may be determined according to other manners such as service requirements, which is not limited herein.

The training parameters matched with the moving speed of the terminal device in the mode c2.2 may be determined in a moving speed interval where the trained filter coefficient corresponding to the training parameters meets the moving speed of the terminal device.

I.e. the filter coefficients may be updated when it is determined that the movement speed interval in which the movement speed of the terminal device is located changes.

For example, during the training process, the range of the moving speed may be divided into a plurality of moving speed sections based on the service requirement, for example, the moving speed range is [0,800] km/h, and in a possible manner, the moving speed range may be divided into 3 moving speed sections, [0,200] km/h, [200,400] km/h, [400,800] km/h.

A set of filter coefficients is trained for each movement speed interval correspondence. Wherein a set of filter coefficients is trained for each movement speed interval. The training may be performed for one movement speed in the movement speed section, or may be performed for a plurality of movement speeds in the movement speed section, and is not limited herein.

For example, of the 3 travel speed intervals, the 1 st travel speed interval [0,200] km/h may be trained with a travel speed of 100 km/h. The 1 st moving speed interval [200,400] km/h can be trained by using the moving speed of 300 km/h. The 1 st moving speed interval [400,800] km/h can be trained by using the moving speed of 600 km/h. The training parameters may be as shown in table 6.

TABLE 6

At this time, after determining a moving speed section in which the moving speed of the terminal device satisfies, a trained filter coefficient that matches the moving speed of the terminal device may be determined from the moving speed section.

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

Step 603: and the network equipment performs filtering processing on the first signal according to the filter coefficient to obtain a filtered first signal.

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

In combination with mode B2, the filter filters the signal using a time domain filter.

The filter coefficients of the time domain filter may be the filter coefficients of the time domain filter determined after the time-frequency variation of the trained filter coefficients in step 602. After determining the trained filter coefficient, the transmitting end performs filtering processing on the first signal according to the trained filter coefficient to obtain a filtered first signal, and the specific process of generating the filtered first signal by the transmitting end may refer to the process of generating the filtered training signal by the transmitting end in the mode B2 in the step 402, which is not described herein again.

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 is not described herein.

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

Step 605: and the terminal equipment performs filtering processing on the received second signal according to the trained filter coefficient to obtain an estimated first signal before filtering.

The manner in which the terminal device determines the trained filter coefficients may be referred to in step 602, which is not described herein.

It should be noted that, the steps 603 and 604 are optional, and the specific execution time may be determined according to need, which is not limited herein.

The generalization capability of the filter obtained by training the neural network has a certain limitation, and the filter coefficient considering the channel characteristics is obtained by training from the transmitting end to the receiving end, so that the performance of the filter is effectively improved. Furthermore, the training of corresponding filter coefficients for different vehicle speed intervals can be considered, and the performance of the filter is further improved.

Scene 2, wherein the transmitting end is a terminal device, and the receiving end is a network device. The terminal equipment is in a moving state, namely the transmitting end is in a moving state, and the moving speed of the transmitting end is greater than 0.

Referring to fig. 7, a flowchart of the data transmission method according to an embodiment of the present application is shown. In the following description, this method is exemplified as applied to the communication system shown in fig. 1. In addition, the method may 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. Comprising the following steps:

step 701: the terminal device obtains its own moving speed.

The specific manner of obtaining the self-moving speed can be referred to as a manner C1-a manner C3, and will not be described herein. It should be noted that, the terminal device may also send the movement speed of the terminal device to the terminal device through the network device, without having a speed measurement function. For example, after the network device obtains the moving speed of the terminal device through the mode C2-mode C3, the moving speed of the terminal device may be sent to the terminal device, so that the terminal device obtains its moving speed.

Step 702: the filter coefficients are determined according to the moving speed of the terminal device.

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

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

The parameters of the first signal may include: modulation and coding scheme of the first signal, time-frequency resources corresponding to the first signal, and the like. For example, the first signal may be determined under parameters of the first signal such as a preset modulation coding scheme, a preset time-frequency resource (the number of subcarriers carrying the training signal, the number of symbols, a subcarrier interval, a carrier frequency), or may be determined according to a channel state between the network device and the receiving device and an allocable time-frequency resource. The method of step 401 may be referred to specifically, and will not be described herein.

The modulation and coding scheme 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, and the network device may send the modulation and coding scheme of the first signal to the terminal device.

The manner in which the terminal device determines the filter coefficients used may be varied, and is illustrated below in manner a 4-manner a 6.

In the mode a4, after determining that the terminal device is in a mobile state, the terminal device performs filtering processing on the first signal to be sent by using the trained filter coefficient, and sends the filtered first signal to the network device. Accordingly, the network device may 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 a second signal, where the second signal may be the filtered first signal sent to the network device by the terminal device after passing through the channel. The network device may perform filtering recovery processing on the second signal by using the trained filter coefficient after determining that the terminal device is in the mobile state, to obtain an estimated first signal before filtering, and further obtain data of the first signal according to the estimated first signal before filtering.

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

For example, the terminal device may send first information to the network device, the first information being indicative of the filter coefficients.

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

In some embodiments, the first information may be carried by control signaling, e.g., uplink control signaling, higher layer signaling, etc. The application is not limited. The first information may carry filter coefficients, or may carry information indicative of the filter coefficients. For example, after the training device trains 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 a specific value for each of the filter coefficients, and may be used to indicate a type of filter coefficient. After the terminal device determines the filter coefficients to be used, the indication information of the filter coefficients may be index information of the filter coefficients. 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 a moving speed interval, so that the receiving end may determine, according to the moving speed interval, a filter coefficient corresponding to the moving speed interval.

In the mode a6, the terminal device may negotiate the trained filter coefficient used by the network device in advance, and after the negotiation is completed, the terminal device performs filtering processing on the first signal to be sent by using the trained filter coefficient, 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 can use the trained filter coefficient to perform filtering recovery processing on the second signal to obtain an estimated first signal before filtering, and further obtain data of the first signal according to 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, the terminal device may negotiate with the network device in advance to communicate through the trained filter coefficients in consideration of that the vehicle is in a mobile state in most of the scenes after starting. Therefore, after the negotiation is completed, the terminal device may select the trained filter coefficient to perform filtering processing on the first signal, and after the network device determines that the negotiation is completed, the network device may select the trained filter coefficient to perform corresponding processing on the received second signal. Reducing the delay of signal processing.

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

Correspondingly, after receiving the first information, the network device may determine that the terminal device selects the trained filter coefficient to perform filtering processing, and perform filtering recovery processing on the received filtered first signal sent by the terminal device according to the predetermined trained filter coefficient, so as to recover the first signal.

Further, the terminal device may report a time period when the terminal device is in a mobile state, and at this time, the terminal device may select the trained filter coefficient to perform filtering processing on the first signal in the corresponding time period. The terminal device may also select untrained filter coefficients of the prior art to filter the first signal during other time periods. And, during these time periods, the network device may process the received filtered first signal based on the untrained filter coefficients. Of course, considering the problem of delay of the transmitted signal, the network device may also select the trained filter coefficient to process the received filtered first signal when the received signal cannot be resolved correctly, so as to improve the performance of the received signal of the network device.

The terminal device and the network device determine the trained filter coefficients in various ways, and are exemplified in the following ways c 3-c 4.

Mode c3, the terminal device may determine that the terminal device is in a moving state according to the moving speed of the terminal device, and may determine the filter coefficient by referring to the mode 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, and may determine the filter coefficients by referring to the manner of determining the filter coefficients in step 402.

In the 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 coefficients when a movement speed section, which the movement speed of the terminal device satisfies, changes. After updating the filter coefficients, first information may also be sent to the network device for indicating the updated filter coefficients. In another possible implementation manner, the terminal device determines whether to update the filter coefficients in a manner indicated by the network device.

Of course, when the moving speed interval satisfied by the moving speed of the terminal device is not changed, the terminal device may use the filter coefficient adopted when the terminal device sends the signal last time, so as to reduce the processing complexity of the terminal device.

Correspondingly, the network device may determine a filter coefficient corresponding to a moving speed interval according to the moving speed interval satisfied by the moving speed of the terminal device. 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. Reference may be made specifically to the mode c2, and details thereof are not repeated here.

In one possible implementation manner, the terminal device and the network device determine, through a negotiation manner, a filter coefficient corresponding to a moving speed interval that is satisfied by a moving speed of the terminal device. For example, the terminal device updates the filter coefficients when the movement speed section that the movement speed itself satisfies changes. The network device synchronously updates the filter coefficients after determining that the moving speed interval satisfied by the moving speed of the terminal device changes. At this time, after updating the filter coefficients, the terminal device may not notify the network device that the filter coefficients employed by the first signal have been updated.

In another possible implementation, the terminal device determines whether to update the filter coefficients by indicating. For example, the terminal device updates the filter coefficients when a movement speed section, which the movement speed of the terminal device satisfies, changes. After updating the filter coefficients, the terminal device sends first information to the network device, where the first information is used to indicate the updated filter coefficients. The network device updates the filter coefficients upon receiving the first information. After determining that the moving speed interval satisfied by the moving speed of the terminal device changes, the network device may not update the filter coefficient when the first information is not received. And ensuring the consistency of the filter coefficients used by the terminal equipment and the network equipment.

In the mode c4, the terminal device may determine the filter coefficient according to the moving speed section in various modes. Reference may be made specifically to the modes c2.1 and c2.2, and no further description is given here.

Step 703: and the terminal equipment performs filtering processing on the first signal according to the filter coefficient to obtain a filtered first signal.

Specific modes can be referred to as mode B1 and mode B2, and will not be described herein.

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

Accordingly, the network device receives the second signal. The second signal may be a filtered first signal that is sent by the terminal device to the network device after passing through the channel.

Step 705: and the network equipment performs filtering processing on the received second signal according to the trained filter coefficient to obtain an estimated first signal before filtering.

The manner in which the network device determines to use the trained filter coefficients may be referred to as manner a 3-manner a6 in step 702, and will not be described in detail herein. Accordingly, the network device may determine the trained filter coefficient according to the movement speed of the terminal device, and specifically, refer to the mode c 3-mode c4 in step 702, which is not described herein. The manner in which the network device determines the movement speed of the terminal device may be various, and specific reference may be made to the manner C1-manner C3, which will not be described herein.

It should be noted that, the steps 704 and 705 are optional, and the specific execution time may be determined according to need, which is not limited herein.

Scene 3, wherein the transmitting end is terminal equipment, and the receiving end is terminal equipment. Both the transmitting end and the receiving end may be in a mobile state.

I.e. the moving speed of the transmitting 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 coefficient to perform filtering processing on the first signal.

As shown in fig. 8, a data transmission method provided by the present application is taken as an example, where the method is applied to the communication system shown in fig. 1. In addition, the method may be performed by two communication devices, such as a transmitting end and a receiving end. In this example, the transmitting end is the terminal device 1, and the receiving end is the terminal device 2. Comprising the following steps:

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

The manner in which the terminal device 1 obtains its own moving speed may be referred to as manners A1-A2, and will not be described herein. The terminal device 1 can also transmit the moving speed of the terminal device 1 to the terminal device 1 through the terminal device 2 without having a speed measuring function itself. For example, after the terminal device 2 obtains the moving speed of the terminal device 1 through the mode A2-mode A3, the moving speed of the terminal device 1 may be transmitted to the terminal device 1 so that the terminal device 1 obtains the moving speed itself.

The manner in which the terminal device 1 obtains the moving speed of the terminal device 2 may be referred to the manner in which the network device obtains the moving speed of the terminal device in the manners A1-A3, which will not be described herein. In addition, the manner in which the terminal device 1 obtains the movement speed of the terminal device 2 may be such that the network device obtains the movement speed of the terminal device 2 and then wants the movement speed of the terminal device 2 transmitted by the terminal device 1.

Step 802: the terminal device 1 determines the filter coefficients according to the movement speed of the terminal device 1 and/or the terminal device 2.

Wherein the filter coefficients are determined according to the movement speed of the terminal device 1 and/or the movement speed of the terminal device 2.

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

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

The modulation and coding mode of the first signal may be determined based on the terminal device and the terminal device when the sidestream connection is established, or may be configured for the transmitting end and the receiving end based on the network device after the sidestream connection is established. The method of step 401 may be referred to specifically, and will not be described herein.

The manner in which the terminal device 1 determines the use of the trained filter coefficients can be varied, and is illustrated below in ways a 4-a 6.

In the mode a4, after determining that the terminal device 1 and the terminal device 2 are in a mobile state, the terminal device 1 may perform filtering processing on the first signal to be transmitted by using the trained filter coefficient, and send the filtered first signal to the terminal device 2. Accordingly, the terminal device 2 may use the trained filter coefficients after determining that the terminal device 1 and the terminal device 2 are in a moving state.

When the filtered first signal is sent to the terminal device 2, the terminal device 2 receives a second signal, where the second signal may be the filtered first signal sent to the terminal device 2 by the terminal device 1 after passing through a channel. After determining that the terminal device 1 is in the mobile state, the terminal device 2 may perform filtering recovery processing on the second signal by using the trained filter coefficient to obtain an estimated first signal before filtering, and further obtain data of the first signal according to the estimated first signal before filtering.

Optionally, the terminal device 1 may further determine a relative speed between the terminal device 1 and the terminal device 2, and determine to perform filtering processing on the first signal to be transmitted using the trained filter coefficient when the relative speed between the terminal device 1 and the terminal device 2 meets a preset threshold. Accordingly, the terminal device 2 may further determine the relative speed between the terminal device 1 and the terminal device 2 after determining that the terminal device 1 and the terminal device 2 are in a moving state, and determine recovery processing for filtering the received signal using the trained filter coefficient when the relative speed between the terminal device 1 and the terminal device 2 meets a preset threshold.

In the mode a5, the terminal device 1 may determine the trained filter coefficients, and then notify the terminal device 2 of the selected trained filter coefficients.

For example, the terminal device 1 may send first information to the terminal device 2, the first information being indicative of the filter coefficients.

Accordingly, the terminal device 2 receives the first information transmitted by the terminal device 1.

In some embodiments, the first information may be carried by control signaling, e.g., sidestream control signaling, higher layer signaling, etc. The application is not limited. The first information may carry filter coefficients, or may carry information indicative of the filter coefficients. For example, after the training device trains 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 a specific value for each of the filter coefficients, and may be used to indicate a type of filter coefficient. After the terminal device 1 determines the filter coefficients to be used, the indication information of the filter coefficients may be index information of the filter coefficients. Thus, after the terminal device 2 receives the first information, the filter coefficient indicated by the terminal device 1 can be determined from the index information of the filter coefficient. For another example, the first information may be indication information corresponding to a moving speed interval, so that the receiving end may determine, according to the moving speed interval, a filter coefficient corresponding to the moving speed interval.

In the mode a6, the terminal device 1 may negotiate the trained filter coefficient used in advance with the terminal device 2, and after the negotiation is completed, the terminal device 1 performs filtering processing on the first signal to be transmitted using the trained filter coefficient, and transmits 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 perform filtering recovery processing on the second signal by using the trained filter coefficient to obtain an estimated first signal before filtering, and further obtain data of the first signal according to the estimated first signal before filtering.

For example, when determining that the type of the terminal device 1 is a mobile device such as a vehicle, the terminal device 2 may consider that the vehicle is in a mobile state in most of the scenes after starting, and the terminal device 1 may negotiate in advance with the terminal device 2 to communicate through the trained filter coefficients. Therefore, after the negotiation is completed, the terminal device 1 may select the trained filter coefficient to perform filtering processing on the first signal, and after the terminal device 2 determines that the negotiation is completed, the terminal device 2 may select the trained filter coefficient to perform corresponding processing on the received second signal. Reducing the delay of signal processing.

For another example, when the terminal device 1 and the terminal device 2 establish a communication connection, the terminal device 1 may notify whether the terminal device 1 is in a mobile state for a long period of time, that is, whether the trained filter coefficients are selected for the filtering process. The terminal device 1 may send first information to the terminal device 2, where the first information indicates that when the trained filter coefficient is selected for filtering, the terminal device 1 may select the trained filter coefficient to perform filtering on the first signal.

Accordingly, after receiving the first information, the terminal device 2 may determine that the terminal device 1 selects the trained filter coefficient to perform filtering processing, and perform filtering recovery processing on the received filtered first signal sent by the terminal device 1 according to the predetermined trained filter coefficient, so as to recover the first signal.

Further, the terminal device 1 may report a time period when the terminal device 1 is in a moving state, and at this time, the terminal device 1 may select the trained filter coefficient to perform filtering processing on the first signal in the corresponding time period. In other time periods, the terminal device 1 may also select the untrained filter coefficients of the prior art to filter the first signal. And, during these time periods, the terminal device 2 may process the received filtered first signal based on the untrained filter coefficients. Of course, considering the problem of delay of the transmitted signal, the terminal device 2 may also select the trained filter coefficient to process the received filtered first signal when the received signal cannot be correctly analyzed, so as to improve the performance of the received signal of the terminal device 2.

The manner in which the terminal device 1 and the terminal device 2 determine the trained filter coefficients is various, and is exemplified by the following manner c5 to c 6.

Mode c5, terminal device 1 may determine that terminal device 1 and terminal device 2 are in a relative movement state according to the relative movement speed of terminal device 1 and terminal device 2, and may determine the filter coefficients by referring to the mode of determining the filter coefficients in step 402.

The terminal device 2 may determine that the terminal device 1 and the terminal device 2 are in a relative movement state according to the relative movement speed of the terminal device 1 and the terminal device 2, and may determine the filter coefficients by referring to the manner of determining the filter coefficients in step 402.

In the mode c6, the terminal device 1 may determine the filter coefficient corresponding to the movement speed section according to the movement speed section that the relative movement speed of the terminal device 1 and the terminal device 2 satisfies.

That is, the terminal device 1 may update the filter coefficients when a movement speed section, in which the relative movement speeds of the terminal device 1 and the terminal device 2 meet, is changed. Of course, when the movement speed section, in which the relative movement speeds of the terminal device 1 and the terminal device 2 meet, is not changed, the terminal device 1 may follow the filter coefficient used when the terminal device 1 transmits the signal 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 movement speed section according to the movement speed section that the relative movement speeds of the terminal device 1 and the terminal device 2 satisfy. Reference may be made to the specific manner c3, and details are not repeated here again.

In a possible implementation manner, the terminal device 1 and the terminal device 2 determine, by means of negotiation, a filter coefficient corresponding to a movement speed interval that is satisfied by the relative movement speeds of the terminal device 1 and the terminal device 2. For example, the terminal device 1 updates the filter coefficient when it is determined that the movement speed section, which the relative movement speeds of the terminal device 1 and the terminal device 2 satisfy, is changed. The terminal device 2 also updates the filter coefficients synchronously after determining that the movement speed interval satisfied by the relative movement speeds of the terminal device 1 and the terminal device 2 has changed. At this time, after the terminal device 1 updates the filter coefficients, the terminal device 2 may not be notified that the filter coefficients employed by the first signal have been updated.

In another possible implementation, the terminal device 1 determines whether to update the filter coefficients by means of an indication. For example, the terminal device 1 updates the filter coefficients when the movement speed section, in which the relative movement speeds of the terminal device 1 and the terminal device 2 meet, changes. After updating the filter coefficients, the terminal device 1 transmits first information to the terminal device 2, the first information being used to indicate the updated filter coefficients. The terminal device 2 updates the filter coefficients upon receiving the first information. The terminal device 2 may not update the filter coefficient when it is determined that the movement speed section, which the relative movement speed of the terminal device 1 and the terminal device 2 satisfies, is changed, but the first information is not received. Ensuring that the filter coefficients used by the terminal device 1 and the terminal device 2 are identical.

In the mode c6, the terminal device 1 may determine the filter coefficient according to the moving speed section in various modes. Reference may be made specifically to the modes c2.1 and c2.2, and no further description is given here.

Step 803: the terminal device 1 performs filtering processing on the first signal according to the filter coefficient to obtain a filtered first signal.

The manner in which the terminal device 1 performs filtering processing on the first signal according to the filter coefficient to obtain the filtered first signal may refer to the manner B1 and the manner B2, which are not described herein again.

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

Accordingly, the terminal device 2 receives the second signal. The second signal may be a filtered first signal that is 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, and obtains an estimated first signal before filtering.

The manner in which the terminal device 2 determines to use the trained filter coefficients may be referred to as a manner a 3-a 6 in step 802, and will not be described in detail herein. Correspondingly, the terminal device 2 may be a trained filter coefficient determined according to the relative movement speed of the terminal device 1 and the terminal device 2, and specifically, refer to the mode c 3-mode c4 in step 802, which is not described herein again. The manner in which the terminal device 2 determines the relative movement speeds of the terminal device 1 and the terminal device 2 may be determined according to the movement speed of the terminal device 1 and the movement speed of the terminal device 2, or the relative movement speeds of the terminal device 1 and the terminal device 2 may be measured according to a sensor of the terminal device 2, which is not limited herein. The determining manner of the moving speed of the terminal device 1 and the moving speed of the terminal device 2 refers to the manner step 801, which is not described herein.

It should be noted that, the steps 804 and 805 are optional, and the specific execution time may be determined according to need, which is not limited herein.

In another possible scenario, the transmitting end and the receiving end may each determine the filter coefficient according to a predetermined determination manner of the filter coefficient, so as to implement signal transmission between the transmitting end and the receiving end. Referring to fig. 9, a flowchart of the data transmission method according to an embodiment of the present application is shown. In the following description, this method is exemplified as applied to the communication system shown in fig. 1. In addition, the method may be performed by two communication devices, such as a transmitting end and a receiving end. Comprising the following steps:

Step 901: the transmitting end obtains the moving speed of the receiving end and/or the moving speed of the transmitting 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 are not described herein.

Step 902: and 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, go to step 903, if not, go to step 904b;

For example, the transmitting end may determine the updated filter coefficient when it is determined that the moving speed interval in which the moving speed of the receiving end is located is changed and/or the moving speed interval in which the moving speed of the transmitting end is located is changed. The transmitting end may determine to update the filter coefficient when it is determined that the moving speed interval in which the moving speed of the receiving end is located is unchanged and/or the moving speed interval in which the moving speed of the transmitting end is located is unchanged. Or the transmitting end may determine to update the filter coefficient when it is determined that the moving speed interval in which the moving speed of the receiving end is located is unchanged and the moving speed interval in which the moving speed of the transmitting end is located is unchanged.

Step 903: the transmitting end transmits second information to the receiving end, wherein the second information is updated filter coefficients.

The updated filter coefficient may be determined according to a new moving speed interval in which the moving speed of the receiving end is located and/or a new moving speed interval in which the moving speed of the transmitting end is located. For a specific determination manner, reference may be made to step 602, step 702, and step 802, where the transmitting end determines a filter coefficient manner according to the moving speed of the receiving end and/or the moving speed of the transmitting end.

Step 904a: and the transmitting end carries out filtering processing on the first signal according to the updated filter coefficient to obtain a filtered first signal.

The manner in which the transmitting end performs filtering processing on the first signal according to the updated filter coefficient may refer to the manner in which the transmitting end performs filtering processing on the first signal according to the filter coefficient in step 602, step 702 and step 802 to obtain the filtered first signal, which is not described herein.

Step 904b: the transmitting end carries out filtering processing on the first signal according to the filter coefficient to obtain a filtered first signal.

The manner in which the transmitting end performs filtering processing on the first signal according to the filter coefficient to obtain the filtered first signal may refer to the manner in which the transmitting end performs filtering processing on the first signal according to the filter coefficient in step 6002, step 702 and step 802 to obtain the filtered first signal, which is not described herein.

Step 905: the transmitting end transmits the filtered first signal.

The manner in which the transmitting end transmits the filtered first signal may refer to step 904, which is not described herein.

Correspondingly, the transmitting end receives the filtered first signal.

Step 906a: and the receiving end carries out filtering processing on the first signal according to the updated filter coefficient to obtain a filtered first signal.

The receiving end can determine updated filter coefficients according to the received second information. The second information may be similar to the first information, the second information may be index information of the updated filter coefficient, or may be information associated with the first information, for example, the first information indicates the filter coefficient 1, the second information indicates the filter coefficient 2 spaced 1 moving speed section from the filter coefficient 1, and the second information may carry the interval of the moving speed section. The specific determination method may refer to a method that the receiving end may determine the filter coefficient according to the received first information, which is not limited herein.

Step 906b: and the receiving end carries out filtering processing on the first signal according to the filter coefficient to obtain a filtered first signal.

The manner of obtaining the filtered first signal by the receiving end performing filtering processing on the first signal according to the filter coefficient may refer to the manner of obtaining the filtered first signal by the receiving end performing filtering processing on the first signal according to the filter coefficient in step 905, which is not described herein.

In the embodiment provided by the application, the method provided by the embodiment of the application is introduced from the interaction angle among the devices. In order to implement the functions in the method provided by the embodiment of the present application, the network device or the terminal device may include a hardware structure and/or a software module, and implement the functions in the form of a hardware structure, a software module, or a hardware structure plus a software module. Some of the functions described above are performed in a hardware configuration, a software module, or a combination of hardware and software modules, depending on the specific application of the solution and design constraints.

The division of the modules in the embodiment of the application is schematic, only one logic function is divided, and other division modes can be adopted in actual implementation. In addition, each functional module in the embodiments of the present application may be integrated in one processor, or may exist alone physically, or two or more modules may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules.

As shown in fig. 10, the present application provides a communication apparatus 1000.

In some embodiments, the communication apparatus may be a transmitting end, 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 apparatus 1000 may include a processing module 1010, a transmitting module 1020. Optionally, a receiving module 1030 may also be included.

And a processing module 1010, configured to obtain a movement speed of the receiving end and/or a movement speed of the transmitting end.

And a sending module 1020, configured to send the filtered first signal to the receiving end. The first signal after filtering is obtained after 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 transmitting end.

In a possible implementation manner, the processing module 1010 is further configured to 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 sending end is located changes.

In a possible implementation manner, the sending module 1020 is further configured 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 1020 is further configured to transmit a modulation coding manner of the first signal to the receiving end;

when the transmitting end is a terminal device, the receiving module 1030 is further configured to receive a modulation coding scheme of the first signal from a network device.

One possible implementation, the filter coefficients are frequency domain filter coefficients; the processing module 1010 is further configured to upsample the first signal in a frequency domain, where a multiple of the upsampling is an overlap 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.

As shown in fig. 11, the present application provides a communication apparatus 1100 that may be applied to a receiving end, 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 apparatus 1100 may include a processing module 1110, a receiving module 1120. Optionally, the apparatus may further include a transmitting module 1130.

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

The processing module 1110 is configured 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 transmitting end.

In a possible implementation manner, the receiving module 1120 is configured 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 1110 is configured to send, through the sending module 1130, the moving speed of the receiving end to the sending end 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 manner, the receiving module 1120 is configured to receive second information from the sending end, where the second information is used to indicate an updated filter coefficient, where the updated filter coefficient is determined 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 sending end is located changes.

One possible implementation, the filter coefficients are frequency domain filter coefficients; the processing module 1110 is configured to perform 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.

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

when the receiving end is a network device, the sending module 1130 is configured to send a modulation coding scheme of the first signal to the sending end.

Optionally, the communication device 1000 or 1100 may further include a storage unit, where the storage unit is configured to store data or instructions (which may also be referred to as codes or programs), and the respective units may interact or be coupled with the storage unit to implement the corresponding methods or functions. For example, the processing module 1010 or 1110 may read 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 apparatus is merely a division of a logic function, and may be fully or partially integrated into a physical entity or may be physically separated when actually implemented. And the units in the device can be all realized in the form of software calls through the processing element; or can be realized in hardware; it is also possible that part of the units are implemented in the form of software, which is called by the processing element, and part of the units are implemented in the form of hardware. For example, each unit may be a processing element that is set up separately, may be implemented as integrated in a certain chip of the apparatus, or may be stored in a memory in the form of a program, and the functions of the unit may be called and executed by a certain processing element of the apparatus. Furthermore, all or part of these units may be integrated together or may be implemented independently. The processing element described herein may in turn be a processor, which may be an integrated circuit with signal processing capabilities. In implementation, each step of the method or each unit above may be implemented by an integrated logic circuit of hardware in a processor element, or may be implemented in a form of software called by the processing element.

In one example, the unit in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, for example: one or more Application SPECIFIC INTEGRATED Circuits (ASIC), or one or more microprocessors (DIGITAL SINGNAL processors, DSP), or one or more field programmable gate arrays (field programmable GATE ARRAY, FPGA), or a combination of at least two of these integrated circuit forms. For another example, when the units in the apparatus may be implemented in the form of a scheduler of processing elements, the processing elements may be general-purpose processors, such as a central processing unit (central processing unit, CPU) or other processor that may invoke a program. For another example, the units may 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 apparatus for receiving signals from other apparatuses. For example, when the device is implemented in the form of a chip, the receiving unit is an interface circuit of the chip for receiving signals from other chips or devices. The above unit for transmitting (e.g., transmitting unit) is an interface circuit of the apparatus for transmitting signals to other apparatuses. For example, when the device is implemented in the form of a chip, the transmitting unit is an interface circuit of the chip for transmitting signals to other chips or devices.

Referring to fig. 12, a schematic structural diagram of a communication device according to an embodiment of the present application is shown. The communication device is used to implement the operations of the transmitting end or the receiving end in the above embodiments. As shown in fig. 12, taking a communication apparatus as an example of a terminal device, the communication apparatus includes: an antenna 1210, a radio frequency device 1220, a signal processing portion 1230. The antenna 1210 is connected to a radio frequency device 1220. In the downlink direction, the radio frequency device 1220 receives information transmitted from a network device or other terminal device through the antenna 1210, and transmits the information transmitted from the network device or other terminal device to the signal processing part 1230 for processing. In the uplink direction, the signal processing portion 1230 processes information of the terminal device and sends the processed information to the radio frequency device 1220, and the radio frequency device 1220 processes information of the terminal device and sends the processed information to the network device or other terminal devices through the antenna 1210.

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

The signal processing section 1230 is for realizing processing of each communication protocol layer of data. The signal processing portion 1230 may be a subsystem of the communication device, and the communication device may further include other subsystems, such as a central processing subsystem, for implementing processing of the operating system and application layers of the communication device; for another example, the peripheral subsystem may be used to implement connections with other devices. The signal processing part 1230 may be a separately provided chip. Alternatively, the above means may be located in the signal processing section 1230.

The signal processing portion 1230 may include one or more processing elements 1231, e.g., including a host CPU and other integrated circuits, and including interface circuitry 1233. In addition, the signal processing portion 1230 may also include a storage element 1232. The storage element 1232 is used to store data and programs, and the programs used to execute the methods executed by the communication apparatus in the above methods may or may not be stored in the storage element 1232, for example, in a memory other than the signal processing portion 1230, and the signal processing portion 1230 loads the programs into a cache for use in use. Interface circuit 1233 is used to communicate with devices. The above means may be located in a signal processing portion 1230, which signal processing portion 1230 may be implemented by a chip comprising at least one processing element for performing the steps of any of the methods performed by the above communication means and interface circuitry for communicating with other means. In one implementation, the units implementing the steps in the above method may be implemented in the form of a processing element scheduler, for example, the apparatus includes a processing element and a storage element, and the processing element invokes the program stored in the storage element to perform the method performed by the communication apparatus in the above method embodiment. The memory element may be a memory element where the processing element is on the same chip, i.e. an on-chip memory element.

In another implementation, the program for performing the method performed by the communication device in the above method may be a storage element on a different chip than the processing element, i.e. an off-chip storage element. At this time, the processing element calls or loads a program from the off-chip storage element on the on-chip storage element to call and execute the method executed by the communication device (transmitting end or receiving end) in the above method embodiment.

In yet another implementation, the units of the communication device implementing the steps of the above method may be configured as one or more processing elements, which are disposed on the signal processing portion 1230, where the processing elements may be integrated circuits, for example: one or more ASICs, or one or more DSPs, or one or more FPGAs, or a combination of these types of integrated circuits. These integrated circuits may be integrated together to form a chip.

The units implementing the steps in the above method may be integrated together and implemented in the form of a system-on-a-chip (SOC) chip for implementing the above method. At least one processing element and a storage element can be integrated in the chip, and the processing element invokes the stored program of the storage element to implement the method executed by the communication device; or at least one integrated circuit may be integrated within the chip for implementing the method performed by the above communication device; or may be combined with the above implementation, the functions of part of the units are implemented in the form of processing element calling programs, and the functions of part of the units are implemented in the form of integrated circuits.

It will be seen that the above apparatus may comprise at least one processing element and interface circuitry, wherein the at least one processing element is adapted to perform a method performed by any of the communication apparatuses provided by the above method embodiments. The processing element may be configured in a first manner: that is, a part or all of the steps executed by the communication device are executed by calling the program stored in the storage element; the second way is also possible: i.e. by means of integrated logic circuitry of hardware in the processor element in combination with instructions to perform some or all of the steps performed by the communication means; of course, part or all of the steps performed by the communication device may also be performed in combination with the first and second modes.

The processing element herein, as described above, may be a general purpose processor, such as a CPU, or one or more integrated circuits configured to implement the above methods, such as: one or more ASICs, or one or more microprocessor DSPs, or one or more FPGAs, etc., or a combination of at least two of these integrated circuit forms. The memory element may be one memory or may be a collective term for a plurality of memory elements.

It will be appreciated that the memory in embodiments of the application may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an erasable programmable ROM (erasable PROM), an electrically erasable programmable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (STATIC RAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (double DATA RATE SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCHLINK DRAM, SLDRAM), and direct memory bus random access memory (direct rambus RAM, DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a computer, implements the method of any of the method embodiments corresponding to the transmitting end or the receiving end in the above embodiment.

The present application also provides a computer program product, which when executed by a computer, implements the method of any of the above-mentioned method embodiments of the transmitting end or the receiving end.

It should be noted that the words "first," second, "etc., such as" first indication information, "second indication information," etc., are used merely for distinguishing between the descriptions and not be construed as indicating or implying a relative importance or order of indication or implying. "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a and b, a and c, b and c, or a and b and c, wherein a, b, c may be single or plural.

The above-described embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer programs. When the computer program is loaded and executed on a computer, the flow or functions according to the embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer program may be stored in or transmitted from one computer readable storage medium to another, for example, a website, computer, server, or data center via a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc., that contain an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a solid-state disk (solid-state drive STATE DISK, SSD)), or the like.

The embodiment of the application also provides a processing device, which comprises a processor and an interface; a processor, configured to perform the method described in any of the method embodiments of the transmitting end or the receiving end.

It should be understood that the processing device may be a chip, and the processor may be implemented by hardware or software, and when implemented by hardware, the processor may be a logic circuit, an integrated circuit, or the like; when implemented in software, the processor may be a general-purpose processor, implemented by reading software code stored in a memory, which may be integrated in the processor or located outside the processor, and which may exist separately.

The foregoing is merely a specific implementation of the present application, but the scope of the embodiments of the present application is not limited thereto, and any person skilled in the art may easily think of changes or substitutions within the technical scope of the embodiments of the present application, and should be covered by the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.

Claims

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;

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;

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

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;

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.