Method for determining sensing signal, storage medium, and electronic apparatus

Abstract

Embodiments of the present disclosure provide a method for determining a sensing signal, a storage medium, and an electronic apparatus. The method comprises: on the basis of channel quality of a channel, a communication requirement of a terminal, and a sensing requirement of a base station, determining time-frequency domain resources and data transmission parameters, the time-frequency domain resources comprising: time-domain resources and frequency-domain resources; sending to the terminal allocation indication information of the time-frequency domain resources and the data transmission parameters, and acquiring data signals sent by the terminal according to the data transmission parameters on time-frequency domain resource positions of the channel; and reconstructing the data signals, to obtain sensing signals at the time-frequency domain resource positions on which the data signals are located, and, on the basis of the sensing signals, sensing the channel and an environment.

Description

Method for determining perception signal, storage medium and electronic device

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This disclosure is based on and claims the priority of Chinese patent application No. 202311615526.6 filed on November 28, 2023, and all the disclosed contents are incorporated into this disclosure by reference. Technical Field

[0003] The embodiments of the present disclosure relate to the field of communications, and in particular, to a method for determining a perception signal, a storage medium, and an electronic device. Background Art

[0004] Synaesthesia integration is not only a key technology in the communications field, but has also become one of the six major application directions for the future released by the IMT-2030 organization. It is expected to achieve a high degree of integration of communications and perception in terms of resources, data, capabilities, etc., thereby meeting the development needs of future new businesses.

[0005] Based on the different ways of sending and receiving sensing signals, the integrated communication and perception operating modes can be divided into several types: base station autonomous transmission and reception, inter-base station collaborative sensing, base station transmission and terminal reception, terminal transmission and base station reception, terminal autonomous transmission and reception, and inter-terminal collaborative sensing. Currently, academics have established the capacity limits and interrelationships of integrated communication and perception from the perspective of information theory, while industrial research focuses primarily on perception, particularly base station autonomous transmission and reception modes and inter-base station collaborative sensing modes.

[0006] With the upcoming synaesthesia integration project within the 3GPP standards organization, research and discussion on synaesthesia integration is gradually expanding from simply enabling perception to integrating it with current communication architectures. While scholars have proposed solutions for perception-assisted communication, communication-assisted perception remains relatively understudied. Furthermore, achieving perception and synaesthesia integration within the two traditional communication transmission modes of base station transmission and terminal reception, or terminal transmission and base station reception, will be a pressing need for the large-scale application of synaesthesia integration in the B5G or 6G eras.

[0007] Regarding the problem of being unable to achieve synaesthesia fusion of communication data-assisted perception in related technologies, no effective solution has been proposed so far. Summary of the Invention

[0008] The embodiments of the present disclosure provide a method for determining a perception signal, a storage medium, and an electronic device to at least solve the problem in related arts that synaesthesia fusion of communication data-assisted perception cannot be achieved.

[0009] According to one embodiment of the present disclosure, a method for determining a perception signal is provided, which is applied to a base station, including: determining time-frequency domain resources and data transmission parameters based on the channel quality of the channel, the communication requirements of the terminal, and the perception requirements of the base station, wherein the time-frequency domain resources include: time domain resources and frequency domain resources; sending allocation indication information of the time-frequency domain resources and the data transmission parameters to the terminal, and obtaining a data signal sent by the terminal according to the data transmission parameters at the time-frequency domain resource position of the channel; reconstructing the data signal to obtain a perception signal of the time-frequency domain resource position where the data signal is located, and perceiving the channel and the environment based on the perception signal.

[0010] According to one embodiment of the present disclosure, a method for determining a perception signal is also provided, which is applied to a terminal, including: sending the terminal's perception requirements to a base station; obtaining allocation indication information of time-frequency domain resources and data transmission parameters sent by the base station, and obtaining a data signal sent by the base station according to the data transmission parameters at the time-frequency domain resource position of the channel, wherein the time-frequency domain resources and data transmission parameters are resources and parameters determined by the base station based on the channel quality of the channel, the communication requirements of the base station and the perception requirements of the terminal, and the time-frequency domain resources include: time domain resources and frequency domain resources; reconstructing the data signal to obtain the perception signal of the time-frequency domain resource position where the data signal is located, and perceiving the channel and environment based on the perception signal.

[0011] According to another embodiment of the present disclosure, a computer-readable storage medium is provided, in which a computer program is stored. The computer program is configured to execute the steps of any one of the above method embodiments when running.

[0012] According to another embodiment of the present disclosure, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to perform the steps in any one of the above method embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] FIG1 is a hardware structure block diagram of a mobile terminal according to a method for determining a perception signal according to an embodiment of the present disclosure;

[0014] FIG2 is a flow chart of a method for determining a perception signal according to an embodiment of the present disclosure;

[0015] FIG3 is a flowchart of another method for determining a perception signal according to an embodiment of the present disclosure;

[0016] FIG4 is a flow chart of performing modulation and reconstruction on a signal according to an embodiment of the present disclosure;

[0017] FIG5 is a flowchart of decoding and reconstructing a signal according to an embodiment of the present disclosure;

[0018] FIG6 is a structural block diagram of a base station according to an embodiment of the present disclosure;

[0019] FIG7 is a structural block diagram of a terminal according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0020] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings and in conjunction with embodiments.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0022] The method embodiments provided in the embodiments of the present disclosure can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, FIG1 is a hardware structure block diagram of a mobile terminal according to a method for determining a perception signal in an embodiment of the present disclosure. As shown in FIG1 , the mobile terminal may include one or more (only one is shown in FIG1 ) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, MCU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It will be understood by those skilled in the art that the structure shown in FIG1 is only illustrative and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG1 , or have a configuration different from that shown in FIG1 .

[0023] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining the perception signal in the embodiment of the present disclosure. The processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, to implement the above-mentioned method. The memory 104 may include a high-speed random access memory and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0024] The transmission device 106 is used to receive or send data via a network. A specific example of the aforementioned network may include a wireless network provided by the mobile terminal's communications provider. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one embodiment, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0025] This embodiment provides a method for determining a perception signal running on a base station, which is applied to a working mode in which a terminal sends and a base station receives. FIG2 is a flow chart of a method for determining a perception signal according to an embodiment of the present disclosure. As shown in FIG2 , the process includes the following steps S202-S206:

[0026] Step S202: Acquire the communication requirements of the terminal, and determine time-frequency domain resources and data transmission parameters according to the channel quality of the channel, the communication requirements of the terminal, and the perception requirements of the base station, wherein the time-frequency domain resources include: time domain resources and frequency domain resources;

[0027] As an example, communication requirements include: the number of data information bits and the block error rate (BLER) of data transmission; perception requirements include: perception parameter precision and perception accuracy; the perception parameter precision includes: maximum perception distance and perception distance resolution, maximum perception speed and perception speed resolution.

[0028] As an example, the channel quality may be determined by a channel quality indication (CQI), where a channel is a channel used by a base station and a terminal for communication.

[0029] As an example, the data transmission parameters include a modulation order and a coding rate.

[0030] In an exemplary embodiment, before the above step S202, the method further includes: acquiring a channel measurement signal sent by the terminal; and determining the channel quality of the channel according to the channel measurement signal.

[0031] Illustratively, before the above step S202, the terminal will also send its communication requirements to the base station.

[0032] In an exemplary embodiment, the above step S202 can be implemented by the following steps S11-S13:

[0033] Step S11: determining a first time-frequency domain resource and a first data transmission parameter according to the channel quality of the channel and the communication requirement of the terminal;

[0034] Step S12: determining a second time-frequency domain resource according to the channel quality of the channel and the sensing requirement of the base station;

[0035] Step S13: Based on the time-frequency domain resources that can be allocated by the base station, determine the time-frequency domain resources according to the first time-frequency domain resources and the second time-frequency domain resources, and adjust the first data transmission parameters based on the time-frequency domain resources to obtain the data transmission parameters.

[0036] It should be noted that the base station needs to dynamically allocate time-frequency domain resources through scheduling algorithms to maximize the use of available resources and ensure the fairness and efficiency of the network. The time-frequency domain resources that can be allocated by the base station are the resources that the base station can use to transmit data within a specific time and frequency range.

[0037] It should be noted that there is no specific order in which the above steps S11 and S12 are performed. Step S11 may be performed first, or step S12 may be performed first.

[0038] In an exemplary embodiment, the above-mentioned step S13 includes: determining the block error rate requirement during data transmission; based on the block error rate requirement and the time-frequency domain resources that can be allocated by the base station, determining the time-frequency domain resources according to the first time-frequency domain resources and the second time-frequency domain resources.

[0039] As an example, determining a block error rate requirement during data transmission includes: determining the block error rate requirement during data transmission according to a perception accuracy requirement.

[0040] It's important to note that the "block error rate requirement during data transmission" mentioned above is different from the "block error rate for data transmission" in the communication requirements. If only the block error rate for communication requirements is considered, the block error rate is relatively high, such as 10%. However, since the present disclosure requires data reconstruction for perception, the data transmission block error rate needs to be lowered, such as to 1% or 0.1%, taking into account perception accuracy. Therefore, "determining the block error rate requirement during data transmission based on the perception accuracy requirement" effectively rewrites and adjusts the block error rate.

[0041] It should be noted that in this embodiment, the base station determines the allocated time domain resources and frequency domain resources, as well as the data transmission parameters, only based on the channel quality and communication requirements; secondly, the base station determines the allocated time domain resources and frequency domain resources only based on the channel quality and perception requirements; finally, the base station adjusts the allocated time domain resources and frequency domain resources and data transmission parameters while comprehensively considering the allocatable resources, communication requirements, and perception requirements, and ultimately determines the allocated time domain resources and frequency domain resources, as well as the data transmission parameters.

[0042] For better understanding, the following examples are given:

[0043] Based solely on channel quality and communication requirements, the base station determines the allocated time and frequency domain resources to be 40 consecutive time-slot Orthogonal Frequency Division Multiplexing (OFDM) symbols and 50MHz-contiguous OFDM subcarriers. The base station also determines the modulation order and coding rate, setting the scheduled Modulation and Coding Scheme (MCS) level to MCS = 18 (64-bit Quadrature Amplitude Modulation (QAM) modulation, code rate 0.8027). Furthermore, based solely on channel quality and sensing requirements, the base station determines the allocated time and frequency domain resources to be 80 consecutive time-slot OFDM symbols and 100MHz-contiguous OFDM subcarriers. Finally, the base station adjusts the allocated resources based on a comprehensive consideration of allocable resources, communication needs, and perception needs. To ensure perception accuracy, the data transmission BLER needs to be controlled to ≤1%. Therefore, time-frequency resources are increased accordingly, and the allocated time-domain resources and frequency-domain resources are determined to be 90 continuous time-slot OFDM symbols in the time domain and 100MHz continuous OFDM subcarriers in the frequency domain. At the same time, the modulation order and coding rate are adjusted. Based on the adjusted time-frequency domain resources and communication needs, the scheduled MCS level is adjusted to MCS = 8 (16QAM modulation, code rate 0.5400).

[0044] It should be noted that the allocation of time and frequency domain resources based solely on perception needs is based on the assumption that the perception signal is completely correct. The actual receiving end uses data signal reconstruction as the perception signal, and data signal analysis has a certain bit error rate (a block error rate (BLER) ≤ 10% cannot guarantee the accuracy of the reconstructed perception signal). Therefore, to ensure perception accuracy, the data transmission BLER must be controlled to ≤ 1%, requiring a corresponding increase in time and frequency resources. Compared to considering only communication needs, the allocated time and frequency domain resources increase, while the number of information bits required for data transmission remains unchanged. Therefore, the adjusted modulation order and code rate are lower than the MCS level considered only for communication needs.

[0045] Step S204: Send allocation indication information of the time-frequency domain resources and data transmission parameters to the terminal, and obtain a data signal sent by the terminal according to the data transmission parameters at the time-frequency domain resource position of the channel, wherein the time-frequency domain resources include the time-frequency domain resource position;

[0046] It should be noted that after receiving the allocation indication information, the terminal sends a data signal at the corresponding time-frequency domain resource position according to the data transmission parameters, wherein the data signal includes data symbols and pilot symbols.

[0047] Step S206: reconstruct the data signal to obtain a perception signal of the time-frequency domain resource position where the data signal is located, and perceive the channel and environment based on the perception signal.

[0048] It should be noted that after receiving the data signal sent by the terminal, the base station parses it to obtain the data information bits, and reconstructs the data signal (including data hard judgment symbols or data modulation symbols, and pilot symbols) in the parsing process as a perception signal. The base station then perceives the channel and environment based on the reconstructed perception signal.

[0049] It should be noted that, in a broad sense, the perception signal can also be said to be a measurement signal, that is, the transmitter sends a signal whose value is known to the receiver, so that the receiver can measure the channel environment experienced by the measurement signal based on the measurement signal.

[0050] In communication, the pilot symbol can also be considered as a measurement signal, and can also be considered as a perception signal, and the pilot symbol is used to measure the channel coefficient from the transmitting end to the receiving end.

[0051] In perception, if continuous measurement signals can be configured in the time and frequency domains, the receiver can then use these signals to perceive and identify reflectors and scatterers (buildings, trees, vehicles, pedestrians, drones, etc.) that the perceived signal encounters in the channel environment. This allows the receiver or transmitter (for example, the receiver feeds back the perception results) to obtain information about the channel environment, enabling them to adjust the beam of the transmitted signal, monitor drones, or dispatch vehicles.

[0052] In an exemplary embodiment, the above-mentioned step S206 includes: when the channel quality meets the preset conditions, reconstructing the data signal using a modulation reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located; when the channel quality does not meet the preset conditions, reconstructing the data signal using a decoding reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located.

[0053] It should be noted that the preset condition includes that the CQI is greater than a preset threshold, that is, if the channel quality meets the preset condition, it means that the channel quality is good.

[0054] It should be noted that the modulation reconstruction method is suitable for scenarios with good channel quality. In this case, the accuracy of hard decisions is relatively high. That is, the data symbols obtained through hard decisions are highly likely to be the originally transmitted data symbols. Therefore, the accuracy of the reconstructed perception signal is also relatively high, and the perception accuracy is also high. Furthermore, the modulation reconstruction method can reconstruct the perception signal at all data symbol locations in the time and frequency domains, ensuring the sampling density of the perception signal in the time and frequency domains. However, the modulation reconstruction method cannot guarantee that all hard decisions are correct, and therefore the reconstructed perception signal cannot be guaranteed to be correct, resulting in a certain loss in perception performance.

[0055] It should be noted that the decoding and reconstruction method is suitable for scenarios with average or poor channel quality. Since information bits with correct decoding and verification results are guaranteed to be correct, the corresponding reconstructed perception signal is also guaranteed to be correct, thereby ensuring the performance of perception. However, for information bits with incorrect verification results, the corresponding data coding symbols are set to zero, that is, the corresponding perception signal is zero, which is equivalent to discarding the perception signal at the corresponding time and frequency domain locations, resulting in a certain loss of perception accuracy.

[0056] In an exemplary embodiment, the data signal is reconstructed using a modulation reconstruction method to obtain a perception signal of the time-frequency domain resource location where the data signal is located, as specifically shown in FIG3 , including the following steps S21-S24:

[0057] Step S21: performing channel estimation and channel interpolation on the channel according to the pilot symbols to obtain the channel coefficient of the time-frequency domain resource position where the data symbol is located;

[0058] It should be noted that the data signal consists of pilot symbols and data symbols. The time and frequency domain locations of the data signal are the same as those of the pilot and data symbols. The receiving end uses the pilot symbols to perform channel estimation and obtain channel coefficients for the data symbols in the time and frequency domains through channel interpolation. The data symbols are then detected based on the channel coefficients to obtain estimated values.

[0059] Step S22: detecting the data symbol based on the channel coefficient to obtain an estimated value of the data symbol;

[0060] It should be noted that, after the above step S22, channel decoding may be performed on the estimated value of the data symbol based on the data transmission parameter to obtain a group of data information bits;

[0061] Step S23: performing a hard decision on the estimated value of the data symbol in the modulation constellation diagram to obtain a data hard-decision symbol;

[0062] It should be noted that making a hard decision on the estimated value of the data symbol in the modulation constellation diagram means taking the value corresponding to the point symbol with the closest Euclidean distance to the estimated value of the data symbol in the standard point symbols of the modulation constellation diagram as the hard decision value of the data symbol estimate, that is, the data hard decision symbol.

[0063] Step S24: using the pilot symbol and the data hard decision symbol as perception signals of the time-frequency domain resource position where the data signal is located.

[0064] It should be noted that the data hard-decision symbol is a perception signal of the time-frequency domain resource position where the data symbol is located, and the pilot symbol is a perception signal of the time-frequency domain resource position where the pilot symbol is located. Since the data signal includes data symbols and pilot symbols, the pilot symbols and data hard-decision symbols can be used as perception signals of the time-frequency domain resource position where the data signal is located.

[0065] In an exemplary embodiment, the data signal is reconstructed by using a decoding and reconstruction method to obtain a perception signal of the time-frequency domain resource location where the data signal is located, as shown in FIG4 , including the following steps S31-S36:

[0066] Step S31: performing channel estimation and channel interpolation on the channel according to the pilot symbols to obtain channel coefficients of the time-frequency domain resource positions where the data symbols are located, wherein the data signal includes: pilot symbols and the data symbols;

[0067] Step S32: Detecting the data symbol based on the channel coefficient to obtain an estimated value of the data symbol;

[0068] Step S33: performing channel decoding on the estimated value of the data symbol based on the data transmission parameter to obtain a group of data information bits;

[0069] Step S34: Encoding and modulating the set of data information bits based on the data transmission parameters to obtain a set of data coding symbols, wherein the data transmission parameters include: modulation order and coding rate;

[0070] Step S35: setting the data coding symbols corresponding to the target data information bits in the set of data coding symbols to zero, wherein the target data information bits are the data information bits with channel decoding errors in the set of data information bits;

[0071] Step S36: Use the pilot symbol and the set of data modulation symbols as perception signals of the time-frequency domain resource position where the data signal is located.

[0072] As an example, a channel decoding check result for each data information bit in a group of data information bits may also be determined. If the channel decoding check result is correct, the data information bit is encoded and modulated based on the data transmission parameters to obtain a data coding symbol for the corresponding data symbol position, and the data coding symbol is used as a perception signal for the time-frequency domain resource position where the data symbol is located. If the channel decoding check result is incorrect, the data coding symbol corresponding to the data information bit after encoding and modulation is set to zero based on the data transmission parameters, and used as a perception signal for the time-frequency domain resource position where the data symbol is located.

[0073] It should be noted that when the transmitter performs channel coding on the data information bits, it first performs binary operations on the data information bits to obtain a set of cyclic redundancy check (CRC) bits. The receiver then performs CRC bit verification on the data information bits after channel decoding. If the set of CRC bits is all 0 bits, the decoded data information bits are considered correct; otherwise, they are incorrect. It should be noted that the standard protocol also specifies the number of CRC bits.

[0074] It should be noted that a group of data coding symbols are perception signals of the time-frequency domain resource positions where the data symbols are located, and the pilot symbols are perception signals of the time-frequency domain resource positions where the pilot symbols are located. Since the data signal includes data symbols and pilot symbols, the pilot symbols and a group of data coding symbols can be used as perception signals of the time-frequency domain resource positions where the data signals are located.

[0075] Through the above steps S202-S206, the base station side adjusts the time-frequency domain resources and data transmission parameters of the data signal transmission during scheduling based on the channel quality of the channel, the communication needs of the terminal and the base station's own perception needs, and after receiving the data signal transmitted by the terminal side based on the time-frequency domain resources and data transmission parameters, the data signal is reconstructed as a perception signal. Then, the base station side perceives the channel and the environment based on the reconstructed perception signal, thereby realizing the synaesthesia fusion of communication data-assisted perception, and solving the problem that synaesthesia fusion of communication data-assisted perception cannot be realized.

[0076] This embodiment provides a method for determining a perception signal running on a terminal, which is applied to a working mode in which the terminal receives a signal sent by a base station. FIG5 is a flowchart of another method for determining a perception signal according to an embodiment of the present disclosure. As shown in FIG5 , the process includes the following steps S502-S506:

[0077] Step S502: Send the terminal's sensing requirements to the base station;

[0078] Step S504: obtaining allocation indication information of time-frequency domain resources and data transmission parameters sent by the base station, and obtaining a data signal sent by the base station according to the data transmission parameters at the time-frequency domain resource position of the channel, wherein the time-frequency domain resources and the data transmission parameters are resources and parameters determined by the base station according to the channel quality of the channel, the communication requirements of the base station, and the perception requirements of the terminal, and the time-frequency domain resources include: time domain resources and frequency domain resources; the time-frequency domain resources include the time-frequency domain resource position;

[0079] As an example, communication requirements include the number of data information bits and the block error rate of data transmission; perception requirements include the precision and accuracy of perception parameters; the precision of perception parameters includes the maximum perception distance and perception distance resolution, the maximum perception speed and perception speed resolution. Data transmission parameters include the modulation order and coding rate.

[0080] In an exemplary embodiment, before the above step S504, the method further includes: acquiring a channel measurement signal sent by the base station; determining the channel quality of the channel according to the channel measurement signal; and sending the channel quality of the channel to the base station.

[0081] Step S506: reconstruct the data signal to obtain a perception signal of the time-frequency domain resource position where the data signal is located, and perceive the channel and environment based on the perception signal.

[0082] In an exemplary embodiment, the above-mentioned step S506 includes: when the channel quality meets the preset conditions, reconstructing the data signal using a modulation reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located; when the channel quality does not meet the preset conditions, reconstructing the data signal using a decoding reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located.

[0083] In an exemplary embodiment, the data signal is reconstructed using a modulation reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located, including: performing channel estimation and channel interpolation on the channel based on the pilot symbol to obtain the channel coefficient of the time-frequency domain resource position where the data symbol is located, wherein the data signal includes: a pilot symbol and the data symbol; detecting the data symbol based on the channel coefficient to obtain an estimated value of the data symbol; making a hard decision on the estimated value of the data symbol in a modulation constellation diagram to obtain a data hard-decision symbol; and using the pilot symbol and the data hard-decision symbol as the perception signal of the time-frequency domain resource position where the data signal is located.

[0084] In an exemplary embodiment, the data signal is reconstructed using a decoding and reconstruction method to obtain a perception signal of the time-frequency domain resource location where the data signal is located, including: performing channel estimation and channel interpolation on the channel based on pilot symbols to obtain channel coefficients of the time-frequency domain resource location where the data symbol is located, wherein the data signal includes: pilot symbols and the data symbols; detecting the data symbols based on the channel coefficients to obtain estimated values ​​of the data symbols; channel decoding the estimated values ​​of the data symbols based on the data transmission parameters to obtain a group of data information bits; encoding and modulating the group of data information bits based on the data transmission parameters to obtain a group of data coding symbols, wherein the data transmission parameters include: modulation order and coding rate; setting the data coding symbols corresponding to target data information bits in the group of data coding symbols to zero, wherein the target data information bits are data information bits with channel decoding errors in the group of data information bits; and using the pilot symbols and the group of data coding symbols as the perception signal of the time-frequency domain resource location where the data signal is located.

[0085] Through the above steps S502-S506, the terminal side feeds back its own perception needs to the base station side, and obtains the data signal transmission and time-frequency domain resources determined by the base station side based on the channel quality of the channel, the perception needs of the terminal and the data transmission parameters of the base station side. After receiving the data signal transmitted by the base station side at the corresponding time-frequency domain resource position according to the data transmission parameters, the terminal side reconstructs the data signal as a perception signal, and then perceives the channel and environment based on the reconstructed perception signal, thereby realizing the synaesthesia fusion of communication data-assisted perception, and solving the problem that synaesthesia fusion of communication data-assisted perception cannot be realized.

[0086] It should be noted that this disclosure involves two entities: base stations and terminals. In actual deployment, base stations can be macro sites in cellular networks or distributed unit access nodes, while terminals can be handheld mobile devices or vehicle-mounted communication modules.

[0087] It should be noted that this disclosure applies to integrated communication and perception scenarios. By adjusting the modulation and coding level of transmitted data and the allocated time and frequency domain resources, this disclosure achieves the goal of synaesthesia fusion of communication data-assisted perception in two operating modes: terminal transmission and base station reception, and base station transmission and terminal reception, under given channel quality conditions. This disclosed solution ensures both communication transmission rate and reliability, as well as the precision and accuracy of perception parameters.

[0088] It should be noted that in addition to being applicable to the two working modes of base station transmission and terminal reception and terminal transmission and base station reception, the present disclosure can also be applied to base station transmission and base station reception (such as wireless backhaul between base stations) scenarios, as well as terminal transmission and terminal reception (communication between vehicle-mounted terminals) scenarios.

[0089] Obviously, the embodiments described above are only part of the embodiments of the present disclosure, rather than all the embodiments. In order to better understand the above method, the above process is described below in conjunction with the embodiments, but it is not intended to limit the technical solutions of the embodiments of the present disclosure. Specifically:

[0090] In the communication perception integration scenario disclosed in the present invention (specifically communication data assisted perception), there are mainly two working modes: terminal sends and base station receives, and base station sends and terminal receives. Specifically:

[0091] Working mode 1: Terminal sends and base station receives:

[0092] Step 1: The terminal sends a channel measurement signal to the base station. The base station obtains the channel quality based on the measurement signal. The terminal sends a communication demand to the base station, and the base station generates the perception demand itself.

[0093] Step 2: First, the base station determines the allocated time and frequency domain resources, as well as the modulation order and coding rate, based solely on channel quality and communication requirements. Second, the base station determines the allocated time and frequency domain resources based solely on channel quality and perception requirements. Finally, the base station adjusts the allocated resources and data transmission parameters, taking into account available resources, communication requirements, and perception requirements, ultimately determining the allocated time and frequency domain resources, as well as the modulation order and coding rate. The base station sends the data transmission parameters and time-frequency domain resource allocation indication information to the terminal. Upon receiving the indication, the terminal transmits the data signal at the corresponding time-frequency domain resource location. The data signal includes data symbols and pilot symbols.

[0094] Step 3: After receiving the data signal sent by the terminal, the base station parses it to obtain the data information bits, and reconstructs the data signal (data hard-decision symbols or data modulation symbols, and pilot symbols) during the parsing process as a perception signal at the allocated time domain and frequency domain resource positions. The base station then perceives the channel and environment based on the reconstructed perception signal.

[0095] Working mode 2: base station sends and terminal receives:

[0096] Step 1: The base station sends a channel measurement signal to the terminal. The terminal obtains the channel quality based on the channel measurement signal and feeds it back to the base station. The terminal sends a sensing demand to the base station, and the base station generates its own communication demand.

[0097] Step 2: The base station determines the allocated time and frequency domain resources, as well as the modulation order and coding rate, based solely on channel quality and communication requirements. The base station determines the allocated time and frequency domain resources based solely on channel quality and perception requirements. The base station adjusts the allocated resources and data transmission parameters, taking into account the available resources, communication requirements, and perception requirements, and ultimately determines the allocated time and frequency domain resources, as well as the modulation order and coding rate. The base station sends the data transmission parameters and time-frequency domain resource allocation indication information to the terminal and transmits data signals at the corresponding time-frequency domain resource locations, where the data signals include data symbols and pilot symbols.

[0098] Step 3: After receiving the data signal, the terminal side parses it to obtain the data information bits, and reconstructs the data signal (data hard-decision symbols or data modulation symbols, and pilot symbols) during the parsing process as the perception signal at the allocated time domain and frequency domain resource position. The terminal then perceives the channel and environment based on the reconstructed perception signal. It should be noted that the receiving end reconstructs the data signal in two ways: modulation reconstruction and decoding reconstruction. Specifically:

[0099] Modulation reconstruction method:

[0100] Step 1: Channel estimation is performed based on the pilot symbols, and channel interpolation is used to obtain the channel coefficients for the data symbols in the time and frequency domains. Based on the channel coefficients, the data symbols are detected to obtain their estimated values. Channel decoding is performed on the estimated values ​​of the data symbols based on the data transmission parameters to obtain the data information bits.

[0101] Step 2: Make a hard decision on the estimated value of the data symbol in the modulation constellation diagram, and use the data hard-decision symbol after the hard decision as the perception signal of the time-frequency domain resource position where the data symbol is located.

[0102] Step 3: Use the pilot symbols and data hard-decision symbols as sensing signals at the allocated time-domain and frequency-domain resource locations, and then sense the channel and environment.

[0103] Decoding and reconstruction method:

[0104] Step 1: Channel estimation is performed based on the pilot symbols, and channel interpolation is used to obtain the channel coefficients for the data symbols in the time and frequency domains. Based on the channel coefficients, the data symbols are detected to obtain their estimated values. Channel decoding is performed on the estimated values ​​of the data symbols based on the data transmission parameters to obtain a set of data information bits.

[0105] Step 2: If the channel decoding check result of the data information bits in a group of data information bits is correct, the data information bits are encoded and modulated based on the data transmission parameters to obtain the data coding symbols of the corresponding data symbol positions, and the data coding symbols are used as the perception signals of the time-frequency domain resource positions of the data symbols.

[0106] Step 3: If the channel decoding check result of the data information bits in a group of data information bits is incorrect, the data modulation symbol corresponding to the encoding and modulation of the data information bit is set to zero based on the data transmission parameters as a perception signal of the time-frequency domain resource position where the data symbol is located.

[0107] Step 4: Use the pilot symbol and a group of data modulation symbols corresponding to a group of data information bits as sensing signals at the allocated time domain and frequency domain resource positions, and then sense the channel and environment.

[0108] It should be noted that the pilot symbol values ​​are known at the receiving end. By performing a conjugate calculation on the pilot symbol values ​​at the receiving end's pilot position, the channel information at the corresponding position can be obtained. Similarly, the data modulation symbols obtained through decoding and reconstruction can be considered pilot symbols with known symbol values. By performing a conjugate calculation on the data modulation symbol values ​​at the receiving end's data position, the channel information at the corresponding position can be obtained. In this way, by using the pilot symbols and data modulation symbols as sensing signals, the base station can obtain the channel and environment information at the corresponding time-domain and frequency-domain positions.

[0109] For a better understanding, the following is described in conjunction with specific embodiments:

[0110] Example 1: Terminal sending and base station receiving working mode, decoding and reconstruction method;

[0111] Step S1: The terminal sends a channel measurement signal to the base station. The base station obtains a channel quality indicator (CQI) with an SNR of 20 dB based on the measurement signal. The terminal sends its communication requirements to the base station, including the number of data bits and accuracy (block error rate (BLER) ≤ 10%). The base station generates its own sensing requirements, including sensing parameter accuracy (maximum sensing range and sensing range resolution, maximum sensing speed and sensing speed granularity), and sensing accuracy (estimated minimum mean square error (MMSE) ≤ -30 dB).

[0112] Step S2: First, based solely on channel quality and communication requirements, the base station determines the allocated time and frequency domain resources to be 40 consecutive time-slot OFDM symbols in the time domain and 50 MHz continuous OFDM subcarriers in the frequency domain. The base station also determines the modulation order and coding rate, setting the scheduled MCS level to MCS = 18 (64QAM modulation, code rate 0.8027). Secondly, based solely on channel quality and perception requirements, the base station determines the allocated time and frequency domain resources to be 80 consecutive time-slot OFDM symbols in the time domain and 100 MHz continuous OFDM subcarriers in the frequency domain. Finally, the base station adjusts the allocated resources based on a comprehensive consideration of available resources, communication needs, and perception requirements. To ensure perception accuracy, the data transmission BLER needs to be controlled to ≤1%. Therefore, time-frequency resources are increased accordingly, and the allocated time and frequency domain resources are determined to be 90 consecutive time-slot OFDM symbols in the time domain and 100MHz continuous OFDM subcarriers in the frequency domain. The modulation order and coding rate are also adjusted. Based on the adjusted time-frequency domain resources and communication needs, the scheduled MCS level is adjusted to MCS = 8 (16QAM modulation, code rate 0.5400). The base station sends data transmission parameters and time-frequency domain resource allocation indication information to the terminal. After receiving the indication, the terminal transmits data signals at the corresponding time-frequency domain resource locations. The data signals include data symbols and pilot symbols.

[0113] In step S3, after receiving the data signal sent by the terminal, the base station parses and obtains the data information bits. The base station reconstructs the data signal in the parsing process as a perception signal by decoding and reconstruction, and then perceives the channel and environment based on the reconstructed perception signal.

[0114] Specifically, step S3 includes the following steps S31-S33:

[0115] Step S31: The base station performs channel estimation based on the pilot symbols and uses channel interpolation to obtain channel coefficients for the data symbols in the time and frequency domains. Based on the channel coefficients, the base station detects the data symbols to obtain estimated values. Based on the data transmission parameters, the estimated values ​​are channel decoded to obtain the data information bits.

[0116] Step S32: If all data signal channel decoding verification results are correct, the base station encodes and modulates the data information bits based on the data transmission parameters, obtains the data coding symbols for the corresponding data symbol positions, and uses the data coding symbols as the perception signals for the time-frequency domain resource positions of the data symbols.

[0117] Step S33: The base station uses the pilot symbols and data modulation symbols as sensing signals at the allocated time domain and frequency domain resource positions (i.e., 90 consecutive time slot OFDM symbols in the time domain and consecutive 100MHz bandwidth OFDM subcarriers in the frequency domain), and then senses the channel and environment.

[0118] Example 2: Base station transmitting and terminal receiving working mode, modulation and reconstruction mode;

[0119] Step S1: The base station sends a channel measurement signal to the terminal. The terminal obtains a channel quality index (CQI) of 25dB based on the signal and feeds it back to the base station. The terminal sends its sensing requirements to the base station, including sensing parameter accuracy (maximum sensing range and sensing range resolution, maximum sensing speed and sensing speed granularity, etc.), as well as sensing accuracy (MMSE ≤ -40dB). The base station generates its own communication requirements, including the number of information bits and accuracy (block error rate ≤ 10%).

[0120] Step S2: First, based solely on channel quality and communication requirements, the base station determines that the allocated time and frequency domain resources are 100 consecutive time-slot OFDM symbols in the time domain and continuous 150MHz bandwidth OFDM subcarriers in the frequency domain; determines the modulation order and coding rate, and sets the scheduled MCS level to MCS = 26 (256QAM modulation, code rate 0.8950). Second, based solely on channel quality and perception requirements, the base station determines that the allocated time and frequency domain resources are 60 consecutive time-slot OFDM symbols in the time domain and continuous 100MHz bandwidth OFDM subcarriers in the frequency domain. Finally, after comprehensively considering the available resources, communication requirements, and perception requirements, the allocated resources are adjusted. To ensure perception accuracy, the data transmission BLER needs to be controlled to ≤1%. Therefore, time-frequency resources are increased accordingly. The allocated time and frequency domain resources are determined to be 200 consecutive time-slot OFDM symbols in the time domain and 200 MHz continuous OFDM subcarriers in the frequency domain. The modulation order and coding rate are also adjusted. Based on the adjusted time-frequency domain resources and communication requirements, the scheduled MCS level is adjusted to MCS = 16 (64QAM modulation, code rate 0.7021). The base station sends data transmission parameters and time-frequency domain resource allocation indication information to the terminal, and sends data signals at the corresponding time-frequency domain resource locations. The data signals include data symbols and pilot symbols.

[0121] Step S3: After receiving the data signal sent by the base station, the terminal parses it to obtain data information bits. The terminal reconstructs the data signal in the parsing process as a perception signal by modulation reconstruction, and then perceives the channel and environment based on the reconstructed perception signal.

[0122] Specifically, step S3 includes the following steps S31-S33:

[0123] Step S31: The terminal performs channel estimation based on the pilot symbols and uses channel interpolation to obtain channel coefficients for the data symbols in the time and frequency domains. Based on the channel coefficients, the terminal detects the data symbols to obtain estimated values. Based on the data transmission parameters, the estimated values ​​are channel decoded to obtain the data information bits.

[0124] Step S32: making a hard decision on the estimated value of the data symbol in the constellation diagram, and using the data hard-decision symbol after the hard decision as the perception signal of the time-frequency domain resource position where the data symbol is located.

[0125] Step S33: The terminal uses the pilot symbols and data hard-decision symbols as perception signals at the allocated time domain and frequency domain resource positions (i.e., 200 consecutive time slot OFDM symbols in the time domain and consecutive 200MHz bandwidth OFDM subcarriers in the frequency domain), and then perceives the channel and environment.

[0126] Example 3: Terminal sending and base station receiving working mode, decoding and reconstruction method;

[0127] Step S1: The terminal sends a channel measurement signal to the base station. The base station obtains a channel quality index (CQI) with an SNR of 5dB based on the measurement signal. The terminal sends its communication requirements to the base station, including the number of information bits and accuracy (block error rate (BLER) ≤ 10%). The base station generates its own sensing requirements, including sensing parameter accuracy (maximum sensing range and sensing range resolution, maximum sensing speed and sensing speed granularity, etc.), and sensing accuracy (estimated error (MMSE) ≤ -30dB).

[0128] Step S2: First, based solely on channel quality and communication requirements, the base station determines that the allocated time and frequency domain resources are 100 consecutive time-slot OFDM symbols in the time domain and 100 MHz continuous OFDM subcarriers in the frequency domain. The base station also determines the modulation order and coding rate, setting the scheduled MCS level to MCS = 6 (16QAM modulation, code rate 0.4238). Second, based solely on channel quality and perception requirements, the base station determines that the allocated time and frequency domain resources are 120 consecutive time-slot OFDM symbols in the time domain and 150 MHz continuous OFDM subcarriers in the frequency domain. Finally, the base station adjusts resource allocation, taking into account available resources, communication requirements, and perception requirements. To ensure perception accuracy, the data transmission BLER must be controlled to ≤1%. However, due to limited system resources, the allocated time and frequency domain resources are determined to be 100 consecutive time-slot OFDM symbols in the time domain and 100 MHz continuous OFDM subcarriers in the frequency domain. No additional resources can be added. Therefore, the modulation order and coding rate are determined to be the same as when considering only communication requirements: the scheduled MCS level is MCS = 6 (16QAM modulation, code rate 0.4238). This resource allocation scheme and transmission parameter configuration can meet data transmission accuracy requirements, but may not meet perception accuracy requirements. The base station sends data transmission parameters and time-frequency domain resource allocation instructions to the terminal. Upon receiving the instructions, the terminal transmits data signals at the corresponding time-frequency domain resource locations. The data signals include data symbols and pilot symbols.

[0129] Step S3: After receiving the data signal sent by the terminal, the base station parses it to obtain data information bits. The base station uses decoding and reconstruction to reconstruct the data signal in the parsing process as a perception signal. The base station then perceives the channel and environment based on the reconstructed perception signal.

[0130] Specifically, step S3 includes the following steps S31-S33:

[0131] Step S31: The base station performs channel estimation based on the pilot symbols and uses channel interpolation to obtain channel coefficients for the data symbols in the time and frequency domains. Based on the channel coefficients, the base station detects the data symbols to obtain estimated values. Based on the data transmission parameters, the estimated values ​​are channel decoded to obtain the data information bits.

[0132] Step S32: If the decoding verification results of all data signal channels are only partially correct, the base station encodes and modulates all data information bits based on the data transmission parameters to obtain data coding symbols for the corresponding data symbol positions. At the same time, the data coding symbols after encoding and modulation corresponding to the data information bits with incorrect verification results are set to zero values, and then the data coding symbols are used as perception signals for the time-frequency domain resource positions where the data symbols are located.

[0133] Step S33: The base station uses the pilot symbols and data modulation symbols as sensing signals at the allocated time domain and frequency domain resource positions (i.e., 100 consecutive time slot OFDM symbols in the time domain and consecutive 100MHz bandwidth OFDM subcarriers in the frequency domain), and then senses the channel and environment.

[0134] Example 4: Base station transmitting and terminal receiving working mode, modulation and reconstruction mode;

[0135] Step S1: The base station sends a channel measurement signal to the terminal. The terminal obtains a channel quality index (CQI) of 25dB based on the signal and feeds it back to the base station. The terminal sends its sensing requirements to the base station, including sensing parameter accuracy (maximum sensing range and sensing range resolution, maximum sensing speed and sensing speed granularity, etc.), as well as sensing accuracy (MMSE ≤ -40dB). The base station generates its own communication requirements, including the number of information bits and accuracy (block error rate ≤ 10%).

[0136] Step S2: First, based solely on channel quality and communication requirements, the base station determines that the allocated time and frequency domain resources are 100 consecutive time-slot OFDM symbols in the time domain and continuous 150MHz bandwidth OFDM subcarriers in the frequency domain; determines the modulation order and coding rate, and sets the scheduled MCS level to MCS = 26 (256QAM modulation, code rate 0.8950). Second, based solely on channel quality and perception requirements, the base station determines that the allocated time and frequency domain resources are 60 consecutive time-slot OFDM symbols in the time domain and continuous 100MHz bandwidth OFDM subcarriers in the frequency domain. Finally, the base station adjusts resource allocation, taking into account available resources, communication requirements, and perception requirements. To ensure perception accuracy, the data transmission BLER must be controlled to ≤1%. However, due to limited system resources, the allocated time and frequency domain resources are determined to be 80 consecutive time-slot OFDM symbols in the time domain and consecutive 100 MHz bandwidth OFDM subcarriers in the frequency domain. To minimize perception accuracy, the data transmission rate must be reduced to control the BLER to ≤1%. The modulation order and coding rate are adjusted accordingly. Based on the adjusted time-frequency domain resources and communication requirements, the scheduled MCS level is adjusted to MCS = 8 (16QAM modulation, code rate 0.5400). This resource allocation scheme and transmission parameter configuration meet the perception accuracy and data transmission correctness requirements, but not the data transmission rate requirement. The base station sends data transmission parameters and time-frequency domain resource allocation indication information to the terminal and transmits data signals, including data symbols and pilot symbols, at the corresponding time-frequency domain resource locations.

[0137] Step S3: After receiving the data signal sent by the base station, the terminal parses it to obtain data information bits. The terminal reconstructs the data signal in the parsing process as a perception signal by modulation reconstruction, and then perceives the channel and environment based on the reconstructed perception signal.

[0138] Specifically, step S3 includes the following steps S31-S33:

[0139] Step S31: The terminal performs channel estimation based on the pilot symbols and uses channel interpolation to obtain channel coefficients for the data symbols in the time and frequency domains. Based on the channel coefficients, the terminal detects the data symbols to obtain estimated values. Based on the data transmission parameters, the estimated values ​​are channel decoded to obtain the data information bits.

[0140] Step S32: making a hard decision on the estimated value of the data symbol in the constellation diagram, and using the data hard-decision symbol after the hard decision as a perception signal of the time-frequency domain resource position where the data is located.

[0141] Step S33: The terminal side uses the pilot symbols and data hard judgment symbols as perception signals at the allocated time domain and frequency domain resource positions (i.e., 80 consecutive time slots OFDM symbols in the time domain and consecutive 100MHz bandwidth OFDM subcarriers in the frequency domain), and then perceives the channel and environment.

[0142] It should be noted that the present disclosure is applied to the integrated communication and perception scenario, and the technical solution of the present disclosure has the following technical effects: 1) in the current communication scenario, in the working mode of terminal transmission and base station reception, as well as base station transmission and terminal reception, synaesthesia fusion is realized; 2) communication data signals are used to assist perception, and there is no major change in the signal frame structure involved in the current communication protocol, and there is no need to send additional perception signals, which is conducive to the evolution and commercial use of synaesthesia in the industry; 3) through the utilization of time domain resources and computing resources, the goals of communication and perception are achieved, which also reflects the compromise between communication and perception performance when the channel quality is given, and effectively practices the theory of synaesthesia fusion.

[0143] It should be noted that the interawareness fusion solution can also use a different OFDM signal waveform from the current 5GNR. Instead, it can adopt the Frequency Modulated Continuous Wave (FMCW) waveform used in the radar field, or the Orthogonal Time Frequency Space (OTFS) waveform, to simultaneously carry some communication information. In this way, the receiving end can also obtain communication information and perceive the channel environment.

[0144] It should be noted that both FMCW and OTSF are perception-based waveforms. To achieve synaesthesia fusion, the transmitter modulates information into the phase of FMCW and the delay and Doppler domains of OTSF. The receiver directly perceives the received signal and, by performing a linear transformation on the received signal, extracts the data information in the corresponding transform domain. These two waveforms can modulate much less information than OFDM, and are therefore less commonly used in the communications field.

[0145] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory (ROM / RAM), a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present disclosure.

[0146] This embodiment further provides a base station, which is used to implement the above embodiments and exemplary implementations. FIG6 is a structural block diagram of a base station according to an embodiment of the present disclosure. As shown in FIG6 , the base station includes:

[0147] A first processing module 62 is configured to obtain a communication requirement of a terminal and determine time-frequency domain resources and data transmission parameters according to channel quality of a channel, the communication requirement of the terminal, and a sensing requirement of a base station, wherein the time-frequency domain resources include: time domain resources and frequency domain resources;

[0148] a second processing module 64, configured to send allocation indication information and data transmission parameters of the time-frequency domain resources to the terminal, and obtain a data signal sent by the terminal according to the data transmission parameters at the time-frequency domain resource position of the channel, wherein the time-frequency domain resources include the time-frequency domain resource position;

[0149] The third processing module 66 is configured to reconstruct the data signal, obtain a perception signal of the time-frequency domain resource location where the data signal is located, and perceive the channel and environment based on the perception signal.

[0150] The above-mentioned base station adjusts the time-frequency domain resources and data transmission parameters of data signal transmission during scheduling based on the channel quality of the channel, the communication needs of the terminal and the base station's own perception needs, and after receiving the data signal transmitted by the terminal side based on the time-frequency domain resources and data transmission parameters, reconstructs the data signal as a perception signal. Then, the base station side perceives the channel and environment based on the reconstructed perception signal, thereby realizing the synaesthesia fusion of communication data-assisted perception, and solving the problem that synaesthesia fusion of communication data-assisted perception cannot be realized.

[0151] This embodiment further provides a terminal for implementing the above embodiments and exemplary implementations. FIG7 is a structural block diagram of a terminal according to an embodiment of the present disclosure. As shown in FIG7 , the terminal includes:

[0152] A sending module 72 is configured to send the terminal's sensing requirements to the base station;

[0153] An acquisition module 74 is configured to acquire allocation indication information and data transmission parameters of time-frequency domain resources sent by the base station, and acquire a data signal sent by the base station in accordance with the data transmission parameters at the time-frequency domain resource position of the channel, wherein the time-frequency domain resources and the data transmission parameters are resources and parameters determined by the base station based on the channel quality of the channel, the communication requirements of the base station, and the perception requirements of the terminal, and the time-frequency domain resources include: time domain resources and frequency domain resources; the time-frequency domain resources include the time-frequency domain resource position;

[0154] The fourth processing module 76 is configured to reconstruct the data signal, obtain a perception signal of the time-frequency domain resource location where the data signal is located, and perceive the channel and environment based on the perception signal.

[0155] The above-mentioned terminal feeds back its own perception needs to the base station side, and obtains the data signal transmission and time-frequency domain resources determined by the base station side based on the channel quality of the channel, the terminal's perception needs and the base station side's own data transmission parameters. After receiving the data signal transmitted by the base station side at the corresponding time-frequency domain resource position according to the data transmission parameters, the terminal side reconstructs the data signal as a perception signal. Then, the terminal side perceives the channel and environment based on the reconstructed perception signal, thereby realizing the synaesthesia fusion of communication data-assisted perception, and solving the problem that synaesthesia fusion of communication data-assisted perception cannot be realized.

[0156] It should be noted that the above modules can be implemented through software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0157] To facilitate understanding of the technical solutions provided by the present disclosure, embodiments of specific scenarios will be described in detail below.

[0158] An embodiment of the present disclosure further provides a computer-readable storage medium, in which a computer program is stored. The computer program is configured to execute the steps of any one of the above method embodiments when run.

[0159] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk.

[0160] An embodiment of the present disclosure further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0161] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0162] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail here.

[0163] Obviously, those skilled in the art should understand that the modules or steps of the present disclosure described above can be implemented using a general-purpose computing device, they can be concentrated on a single computing device, or distributed across a network composed of multiple computing devices, they can be implemented using program code executable by the computing device, and thus, they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be performed in a different order than herein, or they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module for implementation. Thus, the present disclosure is not limited to any particular combination of hardware and software.

[0164] The foregoing is merely an exemplary embodiment of the present disclosure and is not intended to limit the present disclosure. Those skilled in the art will readily appreciate that the present disclosure is susceptible to various modifications and variations. Any modifications, equivalent substitutions, improvements, and the like made within the principles of the present disclosure shall be included within the scope of protection of the present disclosure.

Claims

1. A method for determining a perception signal, applied to a base station, comprising: Determine time-frequency domain resources and data transmission parameters according to channel quality of the channel, communication requirements of the terminal and perception requirements of the base station, wherein the time-frequency domain resources include: time domain resources and frequency domain resources; Sending allocation indication information of the time-frequency domain resources and the data transmission parameters to the terminal, and acquiring a data signal sent by the terminal according to the data transmission parameters at the time-frequency domain resource position of the channel; The data signal is reconstructed to obtain a perception signal of the time-frequency domain resource position where the data signal is located, and the channel and environment are sensed based on the perception signal.

2. The method according to claim 1, wherein: Before determining the time-frequency domain resources and data transmission parameters according to the channel quality of the channel, the communication requirements of the terminal and the perception requirements of the base station, the method further includes: Acquiring a channel measurement signal sent by the terminal; A channel quality of the channel is determined based on the channel measurement signal.

3. The method according to claim 1, wherein: Determining time-frequency domain resources and data transmission parameters according to channel quality of the channel, communication requirements of the terminal and perception requirements of the base station includes: Determining a first time-frequency domain resource and a first data transmission parameter according to a channel quality of the channel and a communication requirement of the terminal; Determining a second time-frequency domain resource according to a channel quality of the channel and a perception requirement of the base station; Based on the time-frequency domain resources that can be allocated by the base station, the time-frequency domain resources are determined according to the first time-frequency domain resources and the second time-frequency domain resources, and the first data transmission parameters are adjusted based on the time-frequency domain resources to obtain the data transmission parameters.

4. The method according to claim 3, wherein: Based on the time-frequency domain resources that can be allocated by the base station, determining the time-frequency domain resources according to the first time-frequency domain resources and the second time-frequency domain resources includes: Determine the block error rate requirements during data transmission; Based on the block error rate requirement and the time-frequency domain resources that can be allocated by the base station, the time-frequency domain resources are determined according to the first time-frequency domain resources and the second time-frequency domain resources.

5. The method according to claim 1, wherein: Reconstructing the data signal to obtain a perception signal of the time-frequency domain resource position where the data signal is located includes: When the channel quality meets a preset condition, reconstructing the data signal by using a modulation reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located; or When the channel quality does not meet the preset condition, the data signal is reconstructed using a decoding reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located.

6. The method according to claim 5, wherein: Reconstructing the data signal in a modulation reconstruction manner to obtain a perception signal of the time-frequency domain resource position where the data signal is located, including: Performing channel estimation and channel interpolation on the channel according to the pilot symbol to obtain a channel coefficient of the time-frequency domain resource position where the data symbol is located, wherein the data signal includes: the pilot symbol and the data symbol; Detecting the data symbol based on the channel coefficient to obtain an estimated value of the data symbol; Making a hard decision on the estimated value of the data symbol in the modulation constellation diagram to obtain a data hard-decision symbol; The pilot symbol and the data hard decision symbol are used as perception signals of the time-frequency domain resource position where the data signal is located.

7. The method according to claim 5, wherein: Reconstructing the data signal in a decoding and reconstruction manner to obtain a perception signal of the time-frequency domain resource position where the data signal is located, including: Performing channel estimation and channel interpolation on the channel according to the pilot symbol to obtain a channel coefficient of a time-frequency domain resource position where the data symbol is located, wherein the data signal includes: the pilot symbol and the data symbol; Detecting the data symbol based on the channel coefficient to obtain an estimated value of the data symbol; performing channel decoding on the estimated value of the data symbol based on the data transmission parameter to obtain a group of data information bits; Encoding and modulating the group of data information bits based on the data transmission parameters to obtain a group of data coding symbols, wherein the data transmission parameters include: a modulation order and a coding rate; Setting the data modulation symbols corresponding to the target data information bits in the group of data modulation symbols to zero, wherein the target data information bits are the data information bits with channel decoding errors in the group of data information bits; The pilot symbol and the group of data modulation symbols are used as perception signals of the time-frequency domain resource position where the data signal is located.

8. The method according to claim 1, wherein: The communication requirements include: the number of data information bits and the block error rate of data transmission; the perception requirements include: perception parameter precision and perception accuracy; the perception parameter precision includes: maximum perception distance and perception distance resolution, maximum perception speed and perception speed resolution.

9. A method for determining a perception signal, applied to a terminal, comprising: Sending the sensing requirement of the terminal to a base station; Acquire allocation indication information of time-frequency domain resources and data transmission parameters sent by the base station, and acquire data signals sent by the base station according to the data transmission parameters at the time-frequency domain resource position of the channel, wherein the time-frequency domain resources and the data transmission parameters are resources and parameters determined by the base station according to the channel quality of the channel, the communication requirements of the base station and the perception requirements of the terminal, and the time-frequency domain resources include: time domain resources and frequency domain resources; The data signal is reconstructed to obtain a perception signal of a time-frequency domain resource position where the data signal is located, and the channel and environment are sensed based on the perception signal.

10. The method according to claim 9, wherein: Before obtaining the allocation indication information of the time-frequency domain resources and the data transmission parameters sent by the base station, and obtaining the data signal sent by the base station according to the data transmission parameters at the time-frequency domain resource position of the channel, the method further includes: Acquiring a channel measurement signal sent by the base station; determining a channel quality of the channel according to the channel measurement signal; The channel quality of the channel is sent to the base station.

11. The method according to claim 9, wherein: Reconstructing the data signal to obtain a perception signal of a time-frequency domain resource position where the data signal is located includes: When the channel quality meets a preset condition, reconstructing the data signal by using a modulation reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located; or When the channel quality does not meet the preset condition, the data signal is reconstructed using a decoding reconstruction method to obtain a perception signal of the time-frequency domain resource position where the data signal is located.

12. The method according to claim 11, wherein: Reconstructing the data signal in a modulation reconstruction manner to obtain a perception signal of the time-frequency domain resource position where the data signal is located, including: Performing channel estimation and channel interpolation on the channel according to the pilot symbol to obtain a channel coefficient of a time-frequency domain resource position where the data symbol is located, wherein the data signal includes: the pilot symbol and the data symbol; Detecting the data symbol based on the channel coefficient to obtain an estimated value of the data symbol; Making a hard decision on the estimated value of the data symbol in the modulation constellation diagram to obtain a data hard-decision symbol; The pilot symbol and the data hard decision symbol are used as perception signals of the time-frequency domain resource position where the data signal is located.

13. The method according to claim 11, wherein: Reconstructing the data signal in a decoding and reconstruction manner to obtain a perception signal of the time-frequency domain resource position where the data signal is located, including: Performing channel estimation and channel interpolation on the channel according to the pilot symbol to obtain a channel coefficient of a time-frequency domain resource position where the data symbol is located, wherein the data signal includes: the pilot symbol and the data symbol; Detecting the data symbol based on the channel coefficient to obtain an estimated value of the data symbol; performing channel decoding on the estimated value of the data symbol based on the data transmission parameter to obtain a group of data information bits; Encoding and modulating the group of data information bits based on the data transmission parameters to obtain a group of data coding symbols, wherein the data transmission parameters include: a modulation order and a coding rate; Setting the data modulation symbols corresponding to the target data information bits in the group of data modulation symbols to zero, wherein the target data information bits are the data information bits with channel decoding errors in the group of data information bits; The pilot symbol and the group of data modulation symbols are used as perception signals of the time-frequency domain resource position where the data signal is located.

14. A computer-readable storage medium having a computer program stored therein, wherein: When the computer program is executed by a processor, the steps of the method described in any one of claims 1 to 8 are implemented, or the steps of the method described in any one of claims 9 to 13 are implemented.

15. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of claims 1 to 8 or the steps of the method described in any one of claims 9 to 13 when executing the computer program.

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