Parameter configuration method, communication node, and storage medium

By configuring the parameters of each symbol within a subframe for the communication node, the pulse repetition parameters of the sensed data are made different, and multiple transmission signals with pulse repetition parameters are constructed, thus solving the distance ambiguity problem in the OFDM-Chirp scheme and improving the sensing performance.

WO2026152980A1PCT designated stage Publication Date: 2026-07-23ZTE CORP
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
ZTE CORP
Filing Date
2025-12-15
Publication Date
2026-07-23

AI Technical Summary

Technical Problem

In the integrated communication and sensing scheme based on OFDM-Chirp, the sparse spectrum of the sensing signal leads to frequency undersampling, which causes a decline in sensing performance. In particular, the distance ambiguity problem seriously affects the target sensing effect.

Method used

By configuring the parameters of each symbol within a subframe for the communication node, the pulse repetition parameters of the sensed data in any one symbol are different from those in other symbols. This constructs transmission signals with multiple pulse repetition parameters, and the radar multi-frequency deambiguity method is used for target perception.

Benefits of technology

It effectively eliminates the distance ambiguity problem, improves perception performance, and enhances the accuracy and reliability of target perception.

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Abstract

The present application discloses a parameter configuration method, a communication node, and a storage medium. The method comprises: determining a configuration parameter of each symbol in a subframe, wherein the subframe comprises a plurality of symbols, each symbol corresponds to a plurality of subcarriers, at least one of the subcarriers is used for carrying sensing data, and the configuration parameter is used for making a pulse repetition parameter of sensing data in any symbol different from a pulse repetition parameter of sensing data in another symbol; and configuring the configuration parameter for a second communication node.
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Description

A parameter configuration method, a communication node, and a storage medium Technical Field

[0001] This application relates to the field of communication technology, such as a parameter configuration method, a communication node, and a storage medium. Background Technology

[0002] Integrated sensing and communication is one of the key enabling technologies for 6G (6th Generation Mobile Communication Technology). Integrated waveform design is a major research focus in sensing and communication integration research. In multi-site sensing, integrated waveform schemes based on Orthogonal Frequency Division Multiplexing Chirp (OFDM-Chirp) are a primary research direction in the industry. In the OFDM-Chirp scheme, the discrete frequency values ​​of the sensing signal (Chirp) and the communication symbols (OFDM) are allocated to different subcarriers to form a subcarrier multiplexed signal. In other words, sensing data and communication data are carried on different subcarriers. The sensing data from multiple sites is transmitted through a combing method to suppress interference between sites.

[0003] After transmitting the sensing signal based on the OFDM-Chirp scheme, the corresponding echo signal is received. Target sensing is then performed based on the echo signal. In the OFDM-Chirp scheme, since the sensing data is carried only in a portion of the subcarriers, the spectrum of the sensing signal is sparse. When performing target sensing based on the echo signal, extracting the echo spectrum corresponding to the sensing signal from the OFDM comb spectrum echo signal leads to frequency undersampling. In the time domain, this manifests as periodic repetition of the echo pulse corresponding to the sensing pulse, resulting in multiple peaks in the ambiguity function. This causes range ambiguity and severely affects sensing performance. Summary of the Invention

[0004] This application provides a parameter configuration method applied to a first communication node, the method including:

[0005] The configuration parameters of each symbol within a subframe are determined; wherein, the subframe includes multiple symbols, each symbol corresponds to multiple subcarriers, at least one of the subcarriers is used to carry sensing data, and the configuration parameters are used to make the pulse repetition parameter of the sensing data in any one symbol different from the pulse repetition parameter of the sensing data in other symbols;

[0006] Configure the configuration parameters for the second communication node.

[0007] This application provides a communication node, including a processor; the processor is used to implement the parameter configuration method of any of the above embodiments when executing a computer program.

[0008] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method of any of the above embodiments.

[0009] Further details regarding the above embodiments and other aspects of this application, as well as their implementations, are provided in the accompanying drawings, detailed description, and claims. Attached Figure Description

[0010] Figure 1 is a schematic diagram of an application scenario of the parameter configuration method provided in one embodiment;

[0011] Figure 2 is a flowchart illustrating a parameter configuration method provided in one embodiment;

[0012] Figure 3 is a schematic diagram of a communication sensing signal provided in one embodiment;

[0013] Figure 4 is a signal of multiple pulse repetition parameters provided in an embodiment;

[0014] Figure 5 shows a signal of another plurality of pulse repetition parameters provided in one embodiment;

[0015] Figure 6 is a schematic diagram of a parameter configuration device provided in an embodiment;

[0016] Figure 7 is a schematic diagram of a communication node provided in one embodiment. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. The embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0018] The parameter configuration method provided in this application can be applied to various wireless communication systems, such as long term evolution (LTE) systems, 4th-generation (4G) systems, 5th-generation (5G) systems, LTE and 5G hybrid architecture systems, 5G New Radio (NR) systems, and new communication systems that will emerge in the future development of communication, such as 6G systems.

[0019] Figure 1 is a schematic diagram of an application scenario of the parameter configuration method provided in one embodiment. As shown in Figure 1, the first communication node 11 can determine configuration parameters for the second communication node 12, so that the second communication node 12 can transmit a signal with multiple pulse repetition parameters based on the configuration parameters. Furthermore, based on the transmitted signal with multiple pulse repetition parameters, the radar multi-frequency deambiguity method can be used for target perception to eliminate distance ambiguity and improve perception performance.

[0020] Optionally, the first communication node 11 in this embodiment can be a sensing server in the core network of a wireless communication system. The second communication node 12 in this embodiment can be an access node in the access network of a wireless communication system, such as a reader / writer, a base station, an evolved NodeB (eNB or eNodeB) in Long Term Evolution Advanced (LTEA), a transmission reception point (TRP), a base station in a 5G mobile communication system, a next-generation NodeB (gNB), a base station in a future mobile communication system, or an access node in a Wireless Fidelity (WiFi) system. The base station can include various macro base stations, micro base stations, home base stations, wireless remote units, routers, WiFi devices, or various network-side devices such as primary cells and secondary cells, as well as location management function (LMF) devices. It can also be a module or unit that performs some of the functions of a base station; for example, it can be a central unit (CU) or a distributed unit (DU). The embodiments of this application do not limit the specific technology or device form used in the access node.

[0021] The following describes the parameter configuration method, communication nodes, and their technical effects.

[0022] Figure 2 is a flowchart illustrating a parameter configuration method according to an embodiment. The method provided in this embodiment is applied to the first communication node in Figure 1. As shown in Figure 2, the communication method provided in this embodiment includes the following steps.

[0023] Step 201: Determine the configuration parameters of each symbol within the subframe.

[0024] A subframe comprises multiple symbols, each corresponding to multiple subcarriers. At least one subcarrier is used to carry sensing data. Configuration parameters are used to ensure that the pulse repetition parameters of the sensing data in any one symbol are different from those in other symbols.

[0025] In this embodiment, a subframe refers to a time period comprising N symbols. In this embodiment, a symbol refers to a basic transmission unit. Optionally, the symbol in this embodiment can be an OFDM symbol.

[0026] Each symbol corresponds to multiple subcarriers. At least one of these subcarriers is used to carry sensing data. In integrated communication and sensing, the other subcarriers are used to carry communication data. In this embodiment, the signal that carries both sensing data and communication data is referred to as a communication-sensing signal.

[0027] In step 201, the configuration parameters for the symbol granularity can be determined. In this embodiment, the configuration parameters serve to ensure that the pulse repetition parameters of the sensed data in any one symbol are different from those in other symbols. In other words, the configuration parameters in this embodiment can make the pulse repetition parameters of the sensed data in each symbol within a subframe different, thus enabling the construction of transmission signals with multiple pulse repetition parameters within a subframe.

[0028] Optionally, the pulse repetition parameter in this embodiment can be the Pulse Repetition Frequency (PRF) or the Pulse Repetition Interval (PRI). In this embodiment, PRF refers to the number of pulses transmitted per second. PRI refers to the time interval between two consecutive pulses. It can be understood that the pulse in this embodiment refers to the same thing as the sensing data.

[0029] Optionally, the configuration parameters in this embodiment include: the subcarrier spacing within each symbol and the number of sensing subcarrier spacings within each symbol. The number of sensing subcarrier spacings characterizes the number of spacings of subcarriers carrying sensing data within a symbol. In this embodiment, the subcarrier spacing refers to the absolute value of the difference between two adjacent frequency points after sorting the frequency points of multiple subcarriers corresponding to a symbol from largest to smallest or smallest to largest. Optionally, the subcarrier spacing within the same symbol is the same.

[0030] Optionally, in this embodiment, the sensing data within a subframe is a Chirp signal in the time domain.

[0031] Figure 3 is a schematic diagram of a communication sensing signal provided in one embodiment. As shown in Figure 3, it illustrates a communication sensing signal based on the OFDM-Chirp scheme, which is an OFDM comb spectrum subframe format. Each subframe consists of N symbols, and the subcarrier spacing within the i-th symbol (1≤i≤N) is Δf. i Within a symbol, the sensing data (Chirp) is evenly distributed across the subcarriers, with the number of sensing subcarrier intervals being M. i .

[0032] In Figure 3, the temporal model of the OFDM comb spectral subframe is as follows: s subframe (t)=s symbol1 (t)+s symbol2 (tT s1 )+…+s symbolN (t-(T s1 +T s2 +…+T s(N-1) )).

[0033] The time-domain model of the i-th symbol is:

[0034] In the above formula, T si It is the time width of the i-th symbol, a i r is the number of subcarriers occupied by the sensed data in the i-th symbol, and rect() represents the rectangular window function. q c represents the amplitude of the sensed data. q This represents the amplitude of the communication data. q = 0, M i ,…,(a i -1)·M i This indicates that q can take values ​​of 0 and (a i -1)·M i multiples of M i q = 1, 2, ..., M i -1,M i +1,…,a i ·(M i -1) indicates that q takes the value of 1 and a i ·(M i Remove integer multiples M from -1) i The integer. It should be noted that the i-th symbol in this implementation can also be described as symbol i.

[0035] In Figure 3, hollow circles represent subcarriers containing communication data, and solid circles represent subcarriers containing sensed data. Figure 3 shows the time axis t and the frequency axis f. On the time axis, subframes include: symbol 1, symbol 2, ..., symbol N. On the frequency axis: the subcarrier spacing within symbol 1 is Δf1, and the number of sensed subcarrier spacings is M1; the subcarrier spacing within symbol 2 is Δf2, and the number of sensed subcarrier spacings is M2; ...; the subcarrier spacing within symbol N is Δf... N The number of sensing subcarrier intervals is M N .

[0036] Based on the configuration parameters of each symbol in this embodiment, the pulse repetition parameter of the sensed data in any one symbol in Figure 3 can be different from the pulse repetition parameter of the sensed data in other symbols, thus realizing a transmission signal with multiple pulse repetition parameters. After receiving the echo signal of this transmission signal, the true time delay of the target can be calculated according to the pattern under a desired pulse repetition parameter, thereby eliminating range ambiguity.

[0037] Step 202: Configure the configuration parameters for the second communication node.

[0038] In one implementation, the first communication node can configure the configuration parameter for the second communication node in the configuration file of the second communication node.

[0039] In another implementation, the first communication node sends configuration parameters to the second communication node. The second communication node, based on the configuration parameters, determines the data carried by the subcarriers of each symbol within the subframe, and based on the data carried by the subcarriers of each symbol, determines the communication sensing signal to be transmitted.

[0040] Optionally, after receiving the configuration parameters, the second communication node determines the sensing data and communication data carried by the subcarriers of each symbol within the subframe. Then, it performs a frequency-to-time domain conversion (e.g., inverse Fourier transform) to obtain the communication sensing signal to be transmitted in the time domain.

[0041] In related technologies, communication sensing signals often exhibit periodic extension due to the discrete configuration of sensing data in the spectrum, leading to range ambiguity during target sensing. The parameter configuration method provided in this embodiment enables the configuration of communication sensing signals with multiple pulse repetition parameters. Furthermore, by utilizing radar multi-frequency deambiguation methods for target sensing, the range ambiguity problem can be effectively eliminated. Target sensing in this embodiment may include determining the target's position and / or velocity. In this embodiment, the target refers to the object that needs to be detected, identified, and understood; it can be various entities, depending on the application scenario.

[0042] The parameter configuration method provided in this embodiment includes: determining the configuration parameters of each symbol within a subframe, wherein the subframe includes multiple symbols, each symbol corresponds to multiple subcarriers, at least one subcarrier is used to carry sensing data, and the configuration parameters are used to make the pulse repetition parameters of the sensing data in any one symbol different from the pulse repetition parameters of the sensing data in other symbols; configuring the configuration parameters for a second communication node, thereby enabling the second communication node to be configured with the determined configuration parameters so that the second communication node can transmit a signal with multiple pulse repetition parameters based on the configuration parameters; furthermore, target perception can be performed using the radar multi-frequency deambiguation method based on the transmitted signal with multiple pulse repetition parameters to eliminate the range ambiguity problem and improve the perception performance.

[0043] The following describes two ways to implement configuration parameters.

[0044] In the first implementation, the subcarrier spacing Δf within the i-th symbol i Unlike the subcarrier spacing within any other symbol, the number of perceived subcarrier spacings M is the same across all symbols. i is an integer greater than 0 and less than or equal to N, where N represents the number of symbols included in the subframe.

[0045] In this implementation, to achieve the transmission signal of multiple pulse repetition parameters, M within different symbols i =M, subcarrier spacing Δf i Configured to be variable. The width of the i-th symbol is:

[0046] If the number of sensing subcarrier intervals is M, then the pulse repetition interval PRI of the i-th symbol is... i for:

[0047] The repetition frequency (PRF) of the i-th symbol pulse i for:

[0048] Therefore, the constructed PRF set is:

[0049] PRF={MΔf 1, MΔf 2, …,MΔf N}

[0050] Figure 4 shows a signal with multiple pulse repetition parameters provided in one embodiment. In Figure 4, it is assumed that M = 2, meaning there are 2 pulses per symbol in the time domain. Pulses are represented by solid-line rectangles in Figure 4. A variable Δf is used... i Multiple PRF signals are constructed. In Figure 4, T s1 T represents the time width of symbol 1. s2 T represents the time width of symbol 2. s3The time width of symbol 3, ..., T sN This represents the time width of symbol N. Due to the Δf of each symbol... i Because they are different, the pulse widths of each symbol are different. PRI1 represents the pulse repetition interval in symbol 1, PRI2 represents the pulse repetition interval in symbol 2, PRI3 represents the pulse repetition interval in symbol 3, and so on. N This represents the pulse repetition interval in symbol N. Based on the above formula, it can be seen that when M=2,

[0051] Optionally, to further ensure the accuracy of the configuration parameters and improve perception reliability, in this implementation, Δf i M satisfies at least one of the following constraints: bandwidth constraint, sensing resource utilization constraint, detection distance constraint, and sensing available time constraint.

[0052] Among them, the bandwidth constraint condition used to characterize the bandwidth B of the i-th symbol is MΔf i The bandwidth B of each symbol is an integer multiple of the total bandwidth.

[0053] The sensing resource utilization constraint is used to characterize that the ratio of the number of subcarriers carrying sensing data in each symbol to the total number of subcarriers in that symbol is less than the preset sensing resource utilization rate.

[0054] The perception available time constraint is used to characterize that the sum of the time widths of all symbols within a subframe is less than the preset perception available time.

[0055] To ensure the periodic extension of the time-domain sensing signal is an integer multiple, the bandwidth B of the i-th symbol needs to be MΔf. i An integer multiple of Δf, that is, for the i-th symbol, Δf i The range of values ​​for is: γ represents an integer that changes as i changes, and M represents a fixed value.

[0056] Furthermore, the constraint on perceived resource utilization is as follows: Where η represents the utilization rate of perceived resources, This represents the number of subcarriers carrying sensing data within the i-th symbol. This represents the number of all subcarriers within the i-th symbol.

[0057] Furthermore, based on the perception equation, the detection distance constraint condition can be determined. available Among them, P tLet represent the maximum peak power of the multiple subcarriers corresponding to the i-th symbol, G represent the antenna gain of the second communication node, λ represent the carrier wavelength, σ represent the radar cross section (RCS) of the target, L represent the number of subframes, k represent the Boltzmann constant, T0 represent the thermodynamic temperature of the noise, F represent the receiver noise figure of the second communication node, SNR represent the detection signal-to-noise ratio of the receiver, and R0 represent the sensing distance. Optionally, the number of subframes can be pre-configured.

[0058] Furthermore, each subframe consists of N symbols, and its total time is: Let T be the available time for perception. Then the constraint on the available time for perception is:

[0059] In summary, in this implementation method, Δf i M satisfies at least one of the following constraints:

[0060] The above implementation method involves setting the subcarrier spacing Δf within the i-th symbol. i Unlike other symbols with arbitrary subcarrier spacing, the number of sensing subcarrier spacings M is the same across all symbols, enabling the transmission of signals with multiple pulse repetition parameters within a subframe. Furthermore, based on these multiple pulse repetition parameters, target perception can be performed using radar multi-frequency deambiguation methods to eliminate range ambiguity and improve perception performance.

[0061] In the second implementation, the number of sensing subcarrier intervals M within the i-th symbol i Unlike any other symbol, the number of perceived subcarrier intervals is different. The subcarrier interval Δf is the same in all symbols. i is an integer greater than 0 and less than or equal to N, where N represents the number of symbols included in the subframe.

[0062] In this implementation, to achieve the transmission signal with multiple pulse repetition parameters, Δf varies within different symbols. i =Δf, which will be the number of sensing subcarrier intervals M i Configured to be variable. The width of the i-th symbol is:

[0063] The number of sensing subcarrier intervals is M i Then the repetition interval of the i-th symbol pulse is PRI i for:

[0064] The repetition frequency (PRF) of the i-th symbol pulse i for:

[0065] Therefore, the constructed PRF set is: PRF={M1Δf,M2Δf…,M ss Δf}.

[0066] Figure 5 shows a signal with another set of multiple pulse repetition parameters provided in one embodiment. Pulses are represented by solid-line rectangles in Figure 5. As shown in Figure 5, since the Δf of each symbol is the same, the time width T of each symbol is... si Same. Under the same time span, M i The smaller the PRI i The larger.

[0067] Optionally, to further ensure the accuracy of the configuration parameters and improve perception reliability, in this implementation, Δf and M... i It must satisfy at least one of the following constraints: bandwidth constraint, sensing resource utilization constraint, detection distance constraint, and sensing available time constraint.

[0068] Among them, the bandwidth constraint condition is used to characterize the bandwidth B of the i-th symbol as M. i For integer multiples of Δf, the bandwidth B of each symbol is equal.

[0069] The sensing resource utilization constraint is used to characterize that the ratio of the number of subcarriers carrying sensing data in each symbol to the total number of subcarriers in that symbol is less than the preset sensing resource utilization rate.

[0070] The perception available time constraint is used to characterize that the sum of the time widths of all symbols within a subframe is less than the preset perception available time.

[0071] To ensure the periodic extension of the time-domain sensing signal is an integer multiple, the bandwidth B of the i-th symbol needs to be M. i An integer multiple of Δf, that is, for the i-th symbol, M i The range of values ​​for is: γ represents an integer that changes as i changes, and Δf represents a fixed value.

[0072] Furthermore, the constraint on perceived resource utilization is as follows: Where η represents the utilization rate of perceived resources, This represents the number of subcarriers carrying sensing data within the i-th symbol. This represents the number of all subcarriers within the i-th symbol.

[0073] Furthermore, based on the perception equation, the detection distance constraint condition can be determined. available Among them, P tLet represent the maximum peak power of the multiple subcarriers corresponding to the i-th symbol, G represent the antenna gain of the second communication node, λ represent the carrier wavelength, σ represent the RCS of the target, L represent the number of subframes, k represent the Boltzmann constant, T0 represent the thermodynamic temperature of the noise, F represent the receiver noise figure of the second communication node, SNR represent the detection signal-to-noise ratio of the receiver, and R0 represent the sensing distance.

[0074] Furthermore, each subframe consists of N symbols, and its total time is: Let T be the available time for perception. Then the constraint on the available time for perception is: available

[0075] In summary, in this implementation method, Δf and M i At least one of the following constraints must be satisfied:

[0076] In the above implementation, the number of sensing subcarrier intervals M within the i-th symbol is set. i Unlike other symbols with arbitrary subcarrier spacing, the subcarrier spacing Δf is the same across all symbols, enabling the transmission of signals with multiple pulse repetition parameters within a subframe. Furthermore, based on these multiple pulse repetition parameters, target perception can be performed using radar multi-frequency deambiguation methods to eliminate range ambiguity and improve perception performance.

[0077] Figure 6 is a schematic diagram of a parameter configuration device according to an embodiment. This parameter configuration device is located in a first communication node. As shown in Figure 6, the parameter configuration device includes the following modules: a determination module 71 and a configuration module 72.

[0078] The determination module 71 is configured to determine the configuration parameters of each symbol within a subframe.

[0079] The subframe comprises multiple symbols, each symbol corresponding to multiple subcarriers. At least one of the subcarriers is used to carry sensing data. The configuration parameters are used to ensure that the pulse repetition parameters of the sensing data in any one symbol are different from the pulse repetition parameters of the sensing data in other symbols.

[0080] Configuration module 72 is configured to configure the configuration parameters for the second communication node.

[0081] In one embodiment, the configuration parameters include: the subcarrier spacing within each symbol and the number of sensing subcarrier spacings within each symbol. The number of sensing subcarrier spacings characterizes the number of spacings of subcarriers carrying sensing data within the symbol.

[0082] In one embodiment, the subcarrier spacing Δf within the i-th symboli Unlike the subcarrier spacing within any other symbol, the number of sensing subcarrier spacings M within each symbol is the same, where i is an integer greater than 0 and less than or equal to N, and N represents the number of symbols included in the subframe.

[0083] In one embodiment, the Δf i M satisfies at least one of the following constraints: bandwidth constraint, sensing resource utilization constraint, detection distance constraint, and sensing available time constraint.

[0084] Wherein, the bandwidth constraint condition is used to characterize the bandwidth B of the i-th symbol as MΔf i The bandwidth B of each symbol is an integer multiple of the total bandwidth.

[0085] The sensing resource utilization constraint is used to characterize that the ratio of the number of subcarriers carrying sensing data in each symbol to the total number of subcarriers in the symbol is less than a preset sensing resource utilization rate.

[0086] The perception availability time constraint is used to characterize that the sum of the time widths of all symbols within the subframe is less than a preset perception availability time.

[0087] In one embodiment, the Δf i M satisfies at least one of the following constraints:

[0088] Among them, P t Let represent the maximum peak power of the multiple subcarriers corresponding to the i-th symbol, G represent the antenna gain of the second communication node, λ represent the carrier wavelength, σ represent the RCS of the target, L represent the number of subframes, k represent the Boltzmann constant, T0 represent the thermodynamic temperature of the noise, F represent the receiver noise figure of the second communication node, SNR represent the detection signal-to-noise ratio of the receiver, R0 represent the sensing distance, γ represent an integer that varies with i, T represent the sensing available time, and η represent the sensing resource utilization rate.

[0089] In one embodiment, the number of sensing subcarrier intervals M within the i-th symbol i Unlike the number of sensing subcarrier intervals within any other symbol, the subcarrier interval Δf is the same within each symbol, where i is an integer greater than 0 and less than or equal to N, and N represents the number of symbols included in the subframe.

[0090] In one embodiment, the Δf and the M i It must satisfy at least one of the following constraints: bandwidth constraint, sensing resource utilization constraint, detection distance constraint, and sensing available time constraint.

[0091] Wherein, the bandwidth constraint condition is used to characterize the bandwidth B of the i-th symbol as M. i For integer multiples of Δf, the bandwidth B of each symbol is equal.

[0092] The sensing resource utilization constraint is used to characterize that the ratio of the number of subcarriers carrying sensing data in each symbol to the total number of subcarriers in the symbol is less than a preset sensing resource utilization rate.

[0093] The perception availability time constraint is used to characterize that the sum of the time widths of all symbols within the subframe is less than a preset perception availability time.

[0094] In one embodiment, the Δf and the M i At least one of the following constraints must be satisfied:

[0095] Where γ represents an integer that changes with i, η represents the perceived resource utilization rate, and P t The maximum value of the peak power of the multiple subcarriers corresponding to the i-th symbol is represented by λ, G represents the gain of the antenna of the second communication node, λ represents the carrier wavelength, σ represents the RCS of the target, L represents the number of subframes, k represents the Boltzmann constant, T0 represents the thermodynamic temperature of the noise, F represents the receiver noise figure of the second communication node, SNR represents the detection signal-to-noise ratio of the receiver, R0 represents the sensing distance, and T represents the sensing available time.

[0096] In one embodiment, the pulse repetition parameter of the sensing data is the pulse repetition frequency or the pulse repetition interval.

[0097] In one embodiment, the configuration module 72 is configured to send the configuration parameters to the second communication node. The second communication node determines the data carried by the subcarriers of each symbol within the subframe based on the configuration parameters, and determines the communication sensing signal to be transmitted based on the data carried by the subcarriers of each symbol.

[0098] The parameter configuration device provided in this embodiment is used to execute the parameter configuration method of any of the above embodiments. The implementation principle and technical effect of the parameter configuration device provided in this embodiment are similar, and will not be described again here.

[0099] This application also provides a communication node, including a processor, which is configured to implement the methods provided in any embodiment of this application when executing a computer program.

[0100] Figure 7 is a schematic diagram of a communication node provided in one embodiment. As shown in Figure 7, the communication node includes a processor 60, a memory 61, and a communication interface 62. The number of processors 60 in the communication node can be one or more; Figure 7 shows an example of one processor 60. The processor 60, memory 61, and communication interface 62 in the communication node can be connected via a bus or other means; Figure 7 shows an example of connection via a bus. The bus represents one or more types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus structures.

[0101] The memory 61, as a computer-readable storage medium, can be configured to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the embodiments of this application. The processor 60 executes at least one functional application and data processing of the communication node by running the software programs, instructions, and modules stored in the memory 61, thereby implementing the methods described above.

[0102] Memory 61 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on terminal usage. Furthermore, memory 61 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, memory 61 may include memory remotely located relative to processor 60, which can be connected to a communication node via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, networks, mobile communication networks, and combinations thereof.

[0103] Communication interface 62 can be configured to receive and send data.

[0104] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods provided in any embodiment of this application.

[0105] The computer storage medium in this application embodiment can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. Computer-readable storage media include (a non-exhaustive list): electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), electrically erasable, programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0106] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, the data signals carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device.

[0107] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, radio frequency (RF), or any suitable combination thereof.

[0108] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the parameter configuration method provided in any embodiment of this application.

[0109] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination of programming languages, including object-oriented programming languages ​​(such as Java, Smalltalk, C++, Ruby, and Go) and conventional procedural programming languages ​​(such as the "C" language or similar programming languages). The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network (including a Local Area Network (LAN) or a Wide Area Network (WAN)), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0110] Those skilled in the art will understand that the term user terminal encompasses any suitable type of wireless user equipment, such as mobile phones, portable data processing devices, portable web browsers, or vehicle-mounted mobile stations.

[0111] Generally, the various embodiments of this application can be implemented in hardware or dedicated circuitry, software, logic, or any combination thereof. For example, some aspects can be implemented in hardware, while others can be implemented in firmware or software that can be executed by a controller, microprocessor, or other computing device, although this application is not limited thereto.

[0112] Embodiments of this application can be implemented by executing computer program instructions through the data processor of a mobile device, for example, in a processor entity, or through hardware, or through a combination of software and hardware. The computer program instructions can be assembly instructions, Instruction Set Architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages.

[0113] Any block diagram of logical flow in the accompanying drawings of this application may represent program steps, or may represent interconnected logic circuits, modules, and functions, or may represent a combination of program steps and logic circuits, modules, and functions. The computer program may be stored in memory. The memory may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as, but not limited to, read-only memory (ROM), random access memory (RAM), optical storage devices and systems (Digital Video Disc (DVD) or Compact Disc (CD)), etc. Computer-readable media may include non-transitory storage media. The data processor may be of any type suitable to the local technical environment, such as, but not limited to, general-purpose computers, special-purpose computers, microprocessors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), and processors based on multi-core processor architectures.

Claims

1. A parameter configuration method applied to a first communication node, the method comprising: The configuration parameters of each symbol within a subframe are determined; wherein, the subframe includes multiple symbols, each symbol corresponds to multiple subcarriers, at least one of the subcarriers is used to carry sensing data, and the configuration parameters are used to make the pulse repetition parameter of the sensing data in any one symbol different from the pulse repetition parameter of the sensing data in other symbols; Configure the configuration parameters for the second communication node.

2. The method according to claim 1, wherein, The configuration parameters include: the subcarrier spacing within each symbol and the number of sensing subcarrier spacings within each symbol; wherein, the number of sensing subcarrier spacings is used to characterize the number of subcarrier spacings carrying sensing data within the symbol.

3. The method according to claim 2, wherein, The subcarrier spacing Δf within the i-th symbol i Unlike the subcarrier spacing within any other symbol, the number of sensing subcarrier spacings M within each symbol is the same, where i is an integer greater than 0 and less than or equal to N, and N represents the number of symbols included in the subframe.

4. The method according to claim 3, wherein, The Δf i M satisfies at least one of the following constraints: bandwidth constraint, sensing resource utilization constraint, detection distance constraint, and sensing available time constraint. Wherein, the bandwidth constraint condition is used to characterize the bandwidth B of the i-th symbol as MΔf i The bandwidth B of each symbol is equal to an integer multiple of the total bandwidth. The sensing resource utilization constraint is used to characterize that the ratio of the number of subcarriers carrying sensing data in each symbol to the total number of subcarriers in the symbol is less than the preset sensing resource utilization rate. The perception availability time constraint is used to characterize that the sum of the time widths of all symbols within the subframe is less than a preset perception availability time.

5. The method according to claim 4, wherein, The Δf i M satisfies at least one of the following constraints: Among them, P t Let represent the maximum peak power of the multiple subcarriers corresponding to the i-th symbol, G represent the antenna gain of the second communication node, λ represent the carrier wavelength, σ represent the radar cross section (RCS) of the target, L represent the number of subframes, k represent the Boltzmann constant, T0 represent the thermodynamic temperature of the noise, F represent the receiver noise figure of the second communication node, SNR represent the detection signal-to-noise ratio of the receiver, R0 represent the sensing distance, γ represent an integer that varies with i, T represent the sensing availability time, and η represent the sensing resource utilization rate.

6. The method according to claim 2, wherein, The number of sensing subcarrier intervals within the i-th symbol, M i Unlike the number of sensing subcarrier intervals within any other symbol, the subcarrier interval Δf is the same within each symbol, where i is an integer greater than 0 and less than or equal to N, and N represents the number of symbols included in the subframe.

7. The method according to claim 6, wherein, The Δf and the M i It must satisfy at least one of the following constraints: bandwidth constraint, sensing resource utilization constraint, detection distance constraint, and sensing available time constraint. Wherein, the bandwidth constraint condition is used to characterize the bandwidth B of the i-th symbol as M. i For integer multiples of Δf, the bandwidth B of each sign is equal; The sensing resource utilization constraint is used to characterize that the ratio of the number of subcarriers carrying sensing data in each symbol to the total number of subcarriers in the symbol is less than the preset sensing resource utilization rate. The perception availability time constraint is used to characterize that the sum of the time widths of all symbols within the subframe is less than a preset perception availability time.

8. The method according to claim 7, wherein, The Δf and the M i At least one of the following constraints must be satisfied: Where γ represents an integer that changes with i, η represents the perceived resource utilization rate, and P t The maximum value of the peak power of the multiple subcarriers corresponding to the i-th symbol is represented by λ, G represents the gain of the antenna of the second communication node, λ represents the carrier wavelength, σ represents the RCS of the target, L represents the number of subframes, k represents the Boltzmann constant, T0 represents the thermodynamic temperature of the noise, F represents the receiver noise figure of the second communication node, SNR represents the detection signal-to-noise ratio of the receiver, R0 represents the sensing distance, and T represents the sensing available time.

9. The method according to any one of claims 1 to 8, wherein, The pulse repetition parameter of the sensed data is either the pulse repetition frequency or the pulse repetition interval.

10. The method according to any one of claims 1 to 8, wherein, The configuration parameters for the second communication node include: The configuration parameters are sent to the second communication node; wherein, the second communication node determines the data carried by the subcarriers of each symbol in the subframe according to the configuration parameters, and determines the communication sensing signal to be sent according to the data carried by the subcarriers of each symbol.

11. A communication node, comprising: processor; The processor is used to implement the parameter configuration method as described in any one of claims 1 to 10 when executing a computer program.

12. A computer-readable storage medium storing a computer program, wherein, When the computer program is executed by the processor, it implements the parameter configuration method as described in any one of claims 1 to 10.