Communication and perception integration method and device based on partial non-orthogonal multiple access

Abstract

The invention relates to the technical field of communication, in particular to a communication and sensing integrated method and device based on partial non-orthogonal multiple access. The method comprises the following steps: constructing a Semi-NOMA (Non-Orthogonal Multiple Access)-based communication and sensing integrated multiplexing framework, namely multiplexing communication and sensing signals only in a part of frequency bands by utilizing an NOMA mode, and still realizing frequency multiplexing in a residual frequency band in an orthogonal mode; a performance index of radar estimation rate is introduced, and a system optimization objective function for balancing the communication rate and the radar estimation rate is constructed by combining the communication rate of a system user; the performance index of the communication outage probability is introduced, so that the basic communication service quality of the communication user can be effectively guaranteed while the communication and sensing integration is realized.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a communication and perception integration method and device based on partial non-orthogonal multiple access. Background Art

[0002] Non-orthogonal multiple access (NOMA) technology is a method of multiplexing the information streams of multiple users with different powers on the same time-frequency resources for information transmission. Its basic idea is to use non-orthogonal transmission at the transmitting end, actively introduce interference information, and correctly separate the information streams of different users through successive interference cancellation (SIC) technology at the receiving end, which can significantly improve spectrum efficiency and save frequency resources.

[0003] In wireless communication systems, the total wireless resources are severely limited. Most of the existing resource allocation mechanisms rely on orthogonal resource allocation methods, such as frequency division multiple access, time division multiple access, and beam allocation. The advantages of these resource allocation methods are low interference and simple management. However, since each user can only transmit at a specific frequency, time, or beam, resource utilization is low and cannot meet high-demand scenarios such as large bandwidth, low latency, or large-scale connection communications.

[0004] When faced with higher communication requirements, such as ultra-high bandwidth, low latency, or communication systems with large-scale device connections, the traditional orthogonal resource allocation method can no longer fully meet the needs. At this time, the NOMA-assisted ISAC system becomes an important direction. Pure NOMA allocation can significantly improve spectrum utilization. However, since the communication and perception modules share the same time-frequency resources, the interference in the system is large, which will have a negative impact on communication quality and user experience.

[0005] In the existing technology, documents 1-3 ([Q. Zhang et al., "Time-division ISAC enabled connected automated vehicles cooperation algorithm design and performance evaluation," IEEE J. Sel. Areas Commun., vol. 40, no. 7, pp. 2206–2218, July2022], [C. Shi et al., "Power minimization-based robust OFDM radar waveform design for radar and communication systems in coexistence," IEEE Trans.Signal Process., vol. 66, no. 5, pp. 1316–1330, Mar 2017], [ 2021.]) The communication and perception integration mechanism based on orthogonal resource reuse / orthogonal multiple access is studied from three dimensions: time domain, frequency domain, and code domain. Specifically, the wireless resources are divided into mutually orthogonal resource blocks in the time domain, frequency domain, or code domain to support communication and perception tasks respectively. The base station or user end uses non-interfering and mutually orthogonal wireless resource blocks to realize communication and perception functions. Although this method has a lower implementation complexity, its spectrum efficiency is low. Reference 4 [X.Mu, Z. Wang, and Y. Liu, “NOMA for integrating sensing and communicationstoward 6G: A multiple access perspective,” IEEE Wireless Communications, vol.31, no. 3, pp. 316–323, 2024.] proposes a communication and perception integration mechanism based on a pure NOMA method. Among them, the user communicates with the base station by sending uplink signals, and the base station sends downlink perception signals and realizes perception by receiving target echo signals.To improve spectrum utilization efficiency, user uplink communication signals and base station downlink sensing signals reuse the same frequency band in a NOMA manner.

[0006] The above-mentioned communication and perception integration mechanism based on orthogonal multiple access / orthogonal resource reuse is easy to implement, but the system spectrum efficiency is not high; while in the communication and perception integration mechanism based on non-orthogonal multiple access / non-orthogonal resource reuse, the interference between communication and perception is strong, which easily leads to a decrease in effective communication capacity and perception accuracy. In short, the existing methods cannot achieve an effective trade-off between effectively ensuring the system spectrum efficiency and interawareness performance. Summary of the invention

[0007] In order to solve the technical problem that the existing technology cannot effectively balance the system spectrum efficiency and interawareness performance, the embodiment of the present invention provides a communication and perception integration method and device based on partial non-orthogonal multiple access. The technical solution is as follows:

[0008] On the one hand, a communication and sensing integration method based on partial non-orthogonal multiple access is provided, the method comprising:

[0009] S1. Build an ISAC system based on Semi-NOMA; the ISAC system includes at least one physical resource block (PRB) based on the 5G frame; the ISAC system is divided into a pure communication area, an ISAC area, and a pure perception area;

[0010] S2. Based on the ISAC system, a signal model of the ISAC system based on Semi-NOMA is constructed;

[0011] S3, taking radar estimation rate as the perception performance indicator, based on the ISAC system signal model of Semi-NOMA, establish the system user communication rate function and the radar estimation rate function of the perceived target distance;

[0012] S4, calculate the Cramer-Rao lower bound of the target distance; calculate the communication interruption probability of the ISAC area;

[0013] S5. Based on the Cramer-Rao lower bound of the target distance and the probability of communication interruption in the ISAC area, a system total rate objective function that balances the communication rate and radar estimation rate is constructed. The objective function is optimized and the optimal solution is obtained to complete the integration of communication and perception based on partial non-orthogonal multiple access.

[0014] Optionally, the Semi-NOMA-based ISAC system includes:

[0015] Communications users, radar targets, and dual-function ISAC base stations;

[0016] Among them, the communication user maintains uplink communication with the ISAC base station. The ISAC base station sends a perception signal to the coverage area, which reaches the ISAC base station after being reflected by the perception target. In the transmission band of the ISAC area, the uplink communication signal and the perception echo share the frequency band resources in a NOMA manner. In other frequency bands, the uplink communication signal and the perception echo are multiplexed in an orthogonal manner and transmitted in the pure communication area and the pure perception area respectively, forming an uplink ISAC system based on Semi-NOMA.

[0017] Optionally, in S2, based on the ISAC system, a Semi-NOMA-based ISAC system signal model is constructed, including:

[0018] The ISAC system shares some frequency band resources in the ISAC area, so the time domain expression of the signal at the transmitter is As shown in the following formula:

[0019]

[0020] in, It is the sensing signal sent by the ISAC base station. Uplink communication signal sent to the user, Indicates The first The perceived symbols on the subcarriers, is the communication symbol on the nth subcarrier on the mth symbol; M is the number of OFDM, and the perception symbol is separated by time and frequency The unit is mapped to PRB, and the number of subcarriers carrying the perception signal is , the number of perceived symbols is , the subcarrier carrying the communication signal is ,in , and They represent the number of subcarriers in the pure sensing area, ISAC area and pure communication area respectively. is a rectangular pulse function; represents the subcarrier spacing; j represents the imaginary unit; T s Indicates the OFDM symbol duration, which is represented by the data duration T d and cyclic prefix time;

[0021] The signal reaching the ISAC base station is a mixture of the sensing echo signal reflected by the sensing target and the uplink communication signal. As shown in the following formula:

[0022]

[0023] in, , They are the sensing echo and the communication signal reaching the ISAC base station, is the transmitting power of the communication user, is the large-scale fading coefficient of the uplink communication link of the communication user; are the base station’s sensing signal transmission power and large-scale fading coefficient, represents the small-scale fading experienced by the communication signal, They represent the small-scale fading experienced by the transmitted and received perception signals respectively; , denoted as ,in Indicates round trip time delay The sensory signal, is the noise signal, and the noise power is .

[0024] Optionally, in S3, the radar estimation rate is used as a perception performance indicator, and based on the ISAC system signal model of Semi-NOMA, a radar estimation rate function for the target distance is established to obtain the information amount of the target distance, including:

[0025] Acquire the sensed echo in the previous sensing cycle; wherein the previous sensing cycle is a plurality of pulse repetition intervals T before the current cycle m ;

[0026] Through the observation of radar-based perception echoes in the previous perception cycle, the fluctuation process of target parameters is modeled and the radar estimation rate is calculated; the radar estimation rate perception performance index is introduced to measure the perception mutual information;

[0027] Based on the ISAC system signal model of Semi-NOMA, the system user communication rate function is established And the radar estimation rate function of the perceived target distance ; It represents the signal-to-interference ratio in pure communication area; Represents the signal-to-interference ratio of the ISAC area.

[0028] Optionally, the fluctuation process of the target parameters is modeled and the radar estimation rate is calculated, including:

[0029] Model the fluctuation process of the target parameter, and the modeling process obeys the Nakagami-m distribution;

[0030] Radar estimated velocity As shown in the following formula:

[0031]

[0032] in, represents the pulse repetition interval, is the pulse duration, is the duty cycle, and the variance of the target parameter fluctuation process based on the Nakagami-m distribution is , represents the expected power; the Cramer-Rao lower bound CRLB of the target distance R is .

[0033] Optionally, in S4, calculating the Cramer-Rao lower bound of the target distance includes:

[0034] The perceived echo signal uses a two-dimensional fast Fourier algorithm to perform inverse Fourier transform on the perceived signal of the frequency axis and Fourier transform on the perceived signal of the time axis to obtain the signal delay and Doppler frequency shift information. , get the estimated distance of the target, where c is the speed of light, and calculate the Cramer-Rao lower bound of the target distance R as shown in the following formula:

[0035] ; in, represents the square of the data duration; Represents the speed of light squared.

[0036] Optionally, in S4, calculating the communication interruption probability of the ISAC area includes:

[0037] According to the following formula, the probability of communication interruption in the ISAC area is:

[0038] ; Wherein, Pr represents the probability symbol; Indicates the signal-to-interference ratio threshold.

[0039] Optionally, based on the target distance estimation and the communication interruption probability of the ISAC area, a system total rate objective function that weighs the communication rate and the radar estimation rate is constructed, and the objective function is optimized to obtain an optimal solution, including:

[0040] Establish the total system rate that balances the communication rate with the radar estimation rate , where the system optimization problem is the total system rate that balances the communication rate with the radar estimation rate ; Among them, the total system rate is the trade-off between the communication rate and the radar estimation rate The composition includes: the communication rate of the pure communication area is , the communication rate of the ISAC area is , the radar estimation rate of the target distance is ;

[0041] The system optimization problem is transformed into the following optimization problem:

[0042]

[0043]

[0044]

[0045]

[0046]

[0047] Among them, α represents the frequency band proportion of the pure communication area; ɛ represents the frequency band proportion of the ISAC area; η represents the frequency band proportion of the pure sensing area; α+ɛ+η≤1 means that the total frequency band proportion of the entire system is less than or equal to 1; The sequential convex optimization algorithm SCP is used to solve the optimization problem.

[0048] On the other hand, a communication and perception integration device based on partial non-orthogonal multiple access is provided, and the device is applied to a communication and perception integration method based on partial non-orthogonal multiple access, and the device includes:

[0049] ISAC system building module, used to build an ISAC system based on Semi-NOMA; the ISAC system includes at least one physical resource block PRB based on the 5G frame; the ISAC system is divided into a pure communication area, an ISAC area and a pure perception area;

[0050] The system signal model building module is used to build the ISAC system signal model based on Semi-NOMA based on the ISAC system;

[0051] Radar estimation rate module, which uses radar estimation rate as a perception performance indicator, establishes system user communication rate function and radar estimation rate function of perceived target distance based on the ISAC system signal model of Semi-NOMA;

[0052] Parameter calculation module, used to calculate the Cramer-Rao lower bound of the target distance; calculate the communication interruption probability of the ISAC area;

[0053] The optimization solution module is used to construct the system total rate objective function that weighs the communication rate and radar estimation rate based on the Cramer-Rao lower bound of the target distance and the communication interruption probability of the ISAC area, optimize the objective function and obtain the optimal solution, and complete the integration of communication and perception based on partial non-orthogonal multiple access.

[0054] On the other hand, a communication and perception integration device based on partial non-orthogonal multiple access is provided, and the communication and perception integration device based on partial non-orthogonal multiple access comprises: a processor; a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, any one of the above-mentioned communication and perception integration methods based on partial non-orthogonal multiple access is implemented.

[0055] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement any one of the above-mentioned communication and perception integration methods based on partial non-orthogonal multiple access.

[0056] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0057] In the embodiment of the present invention, a Semi-NOMA mechanism is innovatively introduced, that is, the communication and perception functions only implement frequency reuse in a NOMA manner in some frequency bands, while in other frequency bands, frequency reuse is still implemented in an orthogonal manner. This ISAC mechanism based on Semi-NOMA can flexibly implement the time, frequency, and energy resource allocation of the communication and perception functions, thereby effectively taking into account the user's interawareness service quality and system spectrum efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0059] Figure 1 A flow chart of a communication and perception integration method based on partial non-orthogonal multiple access provided by an embodiment of the present invention;

[0060] Figure 2 A schematic diagram of pure NOMA and semi-NOMA frequency resource configuration provided by an embodiment of the present invention;

[0061] Figure 3 A schematic diagram of an ISAC system based on Semi-NOMA provided in an embodiment of the present invention;

[0062] Figure 4 A schematic diagram of PRB resource configuration of an ISAC system based on Semi-NOMA provided in an embodiment of the present invention;

[0063] Figure 5A block diagram of a communication and perception integrated device based on partial non-orthogonal multiple access provided by an embodiment of the present invention;

[0064] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0065] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0066] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0067] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0068] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0069] The embodiment of the present invention provides a method for integrating communication and perception based on partial non-orthogonal multiple access, which can be implemented by a communication and perception integrated device based on partial non-orthogonal multiple access, and the communication and perception integrated device based on partial non-orthogonal multiple access can be a terminal or a server. Figure 1 The flowchart of the communication and sensing integration method based on partial non-orthogonal multiple access is shown in FIG. Figure 1 As shown, the communication and perception integration method based on partial non-orthogonal multiple access proposed by the present invention may include the following steps:

[0070] S1. Build an ISAC system based on Semi-NOMA; the ISAC system includes at least one physical resource block PRB based on the 5G frame; the ISAC system is divided into a pure communication area, an ISAC area and a pure perception area.

[0071] In a feasible implementation, document 4 proposes a communication and perception integration mechanism based on pure NOMA. The user communicates with the base station by sending uplink signals, and the base station sends downlink perception signals and perceives by receiving target echo signals. To improve spectrum utilization efficiency, the user uplink communication signal and the base station downlink perception signal reuse the same frequency band in NOMA mode, such as Figure 2As shown in (a); the present invention innovatively introduces a partial non-orthogonal multiple access (Semi-NOMA) mechanism, such as Figure 2 In (b), the communication and perception functions only use NOMA to implement frequency reuse in some frequency bands, while in other frequency bands, frequency reuse is still implemented in an orthogonal manner. This ISAC mechanism based on Semi-NOMA can flexibly implement the time, frequency, and energy resource allocation of communication and perception functions, thereby effectively taking into account the user's interawareness service quality and system spectrum efficiency.

[0072] In a feasible implementation, the ISAC system based on Semi-NOMA includes:

[0073] like Figure 3 The Semi-NOMA-based ISAC system shown: The system includes communication users, radar targets (such as vehicles, drones, etc.) and dual-function ISAC base stations;

[0074] Among them, while the communication user maintains uplink communication with the base station, the base station sends a perception signal to the coverage area, which reaches the base station end after being reflected by the perception target. At this time, on the system transmission band, the uplink communication signal and the perception echo share part of the frequency band resources, which are multiplexed in NOMA mode, namely the ISAC area. On other frequency bands, the uplink communication signal and the perception echo are multiplexed in an orthogonal manner and transmitted in the pure communication area and the pure perception area respectively, forming a schematic diagram of the uplink ISAC system based on Semi-NOMA.

[0075] In a feasible implementation, Figure 4 Taking a PRB as an example, an implementation example of time-frequency resource multiplexing of communication and perception signals based on Semi-NOMA is given. As shown in the figure, the PRB is divided into three parts: a pure communication area, an ISAC area, and a pure perception area.

[0076] In a feasible implementation manner, the present invention integrates synaesthesia based on Semi-NOMA, that is, communication and perception signals are multiplexed only in part of the frequency bands by means of NOMA, while frequency multiplexing is still achieved in an orthogonal manner in the remaining frequency bands; specifically, it involves the time-frequency interval of the comb spectrum of the perception signal, the time, frequency, and energy resource allocation of the communication and perception functions, etc.

[0077] S2. Based on the ISAC system, a signal model of the ISAC system based on Semi-NOMA is constructed;

[0078] In a feasible implementation, based on the PRB design of the above 5G NR frame, within the coverage radius d of the ISAC base station, the base station sends a sensing signal to the sensing target and receives the sensing echo. The communication user establishes uplink communication with the ISAC base station and shares part of the frequency band resources in the ISAC area. Therefore, the time domain expression of the signal at the transmitting end is As shown in the following formula:

[0079]

[0080] in, It is the sensing signal sent by the ISAC base station. Uplink communication signal sent to the user, Indicates The first The perceived symbols on the subcarriers, is the communication symbol on the nth subcarrier on the mth symbol; M is the number of OFDM, and the perception symbol is separated by time and frequency The unit is mapped to PRB, and the number of subcarriers carrying the perception signal is , the number of perceived symbols is , the subcarrier carrying the communication signal is ,in , and They represent the number of subcarriers in the pure sensing area, ISAC area and pure communication area respectively. is a rectangular pulse function; the OFDM symbol duration is determined by the cyclic prefix time and data duration It consists of two parts, namely . is the subcarrier spacing; j represents the imaginary unit; T s Indicates the OFDM symbol duration, which is represented by the data duration T d and cyclic prefix time.

[0081] The signal experiences small-scale fading (Nakagami-m (m>1)) and large-scale fading during transmission, so the signal reaching the ISAC base station is a mixture of the sensing echo signal reflected by the sensing target and the uplink communication signal. As shown in the following formula:

[0082]

[0083] in, , They are the sensing echo and the communication signal reaching the ISAC base station, is the transmitting power of the communication user, is the large-scale fading coefficient of the uplink communication link of the communication user; are the base station’s sensing signal transmission power and large-scale fading coefficient, represents the small-scale fading experienced by the communication signal, They represent the small-scale fading experienced by the transmitted and received perception signals respectively; , denoted as ,in Indicates round trip time delay The sensory signal, is the noise signal, and the noise power is .

[0084] S3, taking radar estimation rate as the perception performance indicator, based on the ISAC system signal model of Semi-NOMA, establish the system user communication rate function and the radar estimation rate function of the perceived target distance;

[0085] In a feasible implementation, in S3, the radar estimation rate is used as a perception performance indicator, and a radar estimation rate function for the target distance is established based on the ISAC system signal model of Semi-NOMA to obtain the information amount of the target distance, including:

[0086] Acquire the sensed echo in the previous sensing cycle; wherein the previous sensing cycle is a plurality of pulse repetition intervals T before the current cycle m ;

[0087] Through the observation of radar-based perception echoes in the previous perception cycle, the fluctuation process of target parameters is modeled and the radar estimation rate is calculated; the radar estimation rate perception performance index is introduced to measure the perception mutual information;

[0088] Based on the ISAC system signal model of Semi-NOMA, the system user communication rate function is established And the radar estimation rate function of the perceived target distance ; It represents the signal-to-interference ratio in pure communication area; Represents the signal-to-interference ratio of the ISAC area.

[0089] In a feasible implementation, the radar estimation rate is introduced as a perception performance indicator to measure the perception mutual information, which is similar to the communication information rate. It describes the measurement of the information about the target parameters (delay, Doppler frequency shift, etc.) carried by the perception echo that reaches the base station after the perception signal is reflected by the perception target within a period of time.

[0090] In a feasible implementation, the fluctuation process of the target parameter is modeled and the radar estimation rate is calculated, including:

[0091] Model the fluctuation process of the target parameter, and the modeling process obeys the Nakagami-m distribution;

[0092] Radar estimated velocity As shown in the following formula:

[0093]

[0094] in, represents the pulse repetition interval, is the pulse duration, is the duty cycle, and the variance of the target parameter fluctuation process based on the Nakagami-m distribution is , represents the expected power; the Cramer-Rao lower bound CRLB of the target distance R is .

[0095] In a feasible implementation, the present invention introduces the radar estimation rate as a performance indicator, which is similar to the communication information rate. It describes the measurement of the information about the target parameters (delay, Doppler frequency shift, etc.) carried by the sensing echo that reaches the base station after the sensing signal is reflected by the sensing target within a period of time. From the perspective of information theory, a unified measurement of communication and radar sensing performance is achieved. By combining the communication rate of system users, a system optimization objective function that trades off the communication rate and the radar estimation rate is constructed.

[0096] S4, calculate the Cramer-Rao lower bound of the target distance; calculate the communication interruption probability of the ISAC area;

[0097] In a feasible implementation, in S4, calculating the Cramer-Rao lower bound of the target distance includes:

[0098] The perceived echo signal uses a two-dimensional fast Fourier algorithm to perform inverse Fourier transform on the perceived signal of the frequency axis and Fourier transform on the perceived signal of the time axis to obtain the signal delay and Doppler frequency shift information. , get the estimated distance of the target, where c is the speed of light, and calculate the Cramer-Rao lower bound of the target distance R as shown in the following formula: ; in, represents the square of the data duration; Represents the speed of light squared.

[0099] In a feasible implementation manner, in S4, calculating the communication interruption probability of the ISAC area includes:

[0100] The received signal at the base station is the superposition of the perceived echo and the uplink communication signal. It is necessary to use the SIC receiver at the base station to detect and judge to separate the perceived signal and the communication signal. Since only the communication signal contains information bits, and the received echo signal is sent by the base station, after a long distance transmission, the echo signal strength is often lower than the communication signal. Therefore, the order of SIC decoding is fixed. First, the communication signal is judged, and then the communication signal is removed from the superimposed signal to obtain the perceived echo signal to estimate the perception-related parameters of the radar target. Therefore, the signal-to-interference ratio of the communication signal at the base station is calculated, including the signal-to-interference ratio in the pure communication area. and the signal-to-interference ratio of the ISAC area :

[0101]

[0102] The perceived echo signal is detected and judged from the superimposed signal. Assuming that SIC is perfectly executed and the communication signal is completely removed, the signal-to-interference-noise ratio of the perceived echo signal is obtained:

[0103]

[0104] Considering that the signal-to-interference-to-noise ratio of the ISAC area is interfered by the perception signal, the power requirement is often higher. The communication interruption probability of the ISAC area is:

[0105] ; Wherein, Pr represents the probability symbol; Indicates the signal-to-interference ratio threshold.

[0106] In a feasible implementation, the communication interruption probability is introduced as a performance indicator, which can effectively guarantee the basic communication service quality of communication users while realizing the integration of communication and perception, especially in the ISAC area frequency band where the communication and perception functions reuse spectrum resources through the NOMA method.

[0107] S5. Based on the target distance estimation and the communication interruption probability of the ISAC area, a system total rate objective function that balances the communication rate and the radar estimation rate is constructed. The objective function is optimized and the optimal solution is obtained to complete the integration of communication and perception based on partial non-orthogonal multiple access.

[0108] In a feasible implementation, based on the target distance estimation and the communication interruption probability of the ISAC area, a system total rate objective function that balances the communication rate and the radar estimation rate is constructed, and the objective function is optimized to obtain the optimal solution, including:

[0109] Establish the total system rate that balances the communication rate with the radar estimation rate ,as follows:

[0110] Among them, the total system rate that trades off the communication rate and the radar estimation rate is The composition includes: the communication rate of the pure communication area is , the communication rate of the ISAC area is , the radar estimation rate of the target distance is ;

[0111] Explore the frequency band resource allocation of the three functional areas in PRB and the communication power allocation of the system to achieve the total system rate The maximization problem of

[0112] The optimization variables of the objective function are discrete variables. To facilitate calculation, the discrete variables are considered to be continuous. , Similarly, the number of perceived subcarriers is continuously converted to , and satisfy , so the system optimization problem is transformed into the following optimization problem:

[0113]

[0114]

[0115]

[0116]

[0117]

[0118] Among them, α represents the frequency band proportion of the pure communication area; ɛ represents the frequency band proportion of the ISAC area; η represents the frequency band proportion of the pure sensing area; α+ɛ+η≤1 means that the total frequency band proportion of the entire system is less than or equal to 1;

[0119] The above optimization problem is to meet the constraints of communication and perception power, communication interruption probability of average distance and target distance CRLB by using time-frequency intervals in the entire frequency band. , Place the signal in the PRB and find the frequency band proportion of the three functional areas that can maximize the objective function (the part after max) and communication power .

[0120] This problem is a non-convex problem, and the Sequential Convex Programming (SCP) algorithm is used to solve the above problem. Select an initial point to perform first-order Taylor linearization of the objective function and constraints, construct a convex optimization subproblem, and use the existing convex optimization algorithm to solve the subproblem. The selection of the initial point directly affects the optimal solution.

[0121] In the embodiment of the present invention, an innovative interawareness integration mechanism based on Semi-NOMA is proposed, with the goal of maximizing the sum rate of system communication and perception, and flexibly scheduling the time, frequency, and energy resources of the 5G NR uplink subframe. Specifically, the frequency band in the system uplink subframe is divided into three parts: a pure communication area, a pure perception area, and an ISAC area. Among them, the base station sends a downlink perception signal and realizes target perception by receiving an echo signal from the target. The frequency band of the perception signal covers the pure perception area and the ISAC area; the user sends an uplink signal to realize communication with the base station, and the uplink communication frequency band of the users in the system covers the pure communication area and the ISAC area; the perception signal and the communication signal are multiplexed only in the ISAC area by means of NOMA, while the spectrum resource multiplexing is still realized in an orthogonal manner in the pure communication area and the pure perception area, so it is called Semi-NOMA. The synaesthesia integration mechanism based on Semi-NOMA proposed in the patent of this invention optimizes the number of subcarriers in the pure communication area, perception area and ISAC area, the time-frequency resource interval of the comb spectrum of the perception signal, and the power of the communication and perception signals, while ensuring the interruption probability of communication users and the Cramer-Rao bound of target perception, to maximize the sum rate of system communication and perception.

[0122] Figure 5 1 is a block diagram of a communication and perception integration device 300 based on partial non-orthogonal multiple access according to an exemplary embodiment. The device 300 is used in a communication and perception integration method based on partial non-orthogonal multiple access. Figure 5 The device includes an ISAC system building module 310, a system signal model building module 320, a radar estimation rate module 330, a parameter calculation module 340 and an optimization solution module 350. Among them:

[0123] ISAC system building module 310, used to build an ISAC system based on Semi-NOMA; the ISAC system includes at least one physical resource block PRB based on a 5G frame; the ISAC system is divided into a pure communication area, an ISAC area and a pure sensing area;

[0124] A system signal model building module 320 is used to build an ISAC system signal model based on Semi-NOMA based on the ISAC system;

[0125] A radar estimation rate module 330 is used to use the radar estimation rate as a perception performance indicator, establish a system user communication rate function and a radar estimation rate function for sensing target distance based on the ISAC system signal model of Semi-NOMA;

[0126] Parameter calculation module 340, used to calculate the Cramer-Rao lower bound of the target distance; calculate the communication interruption probability of the ISAC area;

[0127] The optimization solution module 350 is used to construct a system total rate objective function that weighs the communication rate and the radar estimation rate based on the Cramer-Rao lower bound of the target distance and the communication interruption probability of the ISAC area, optimize the objective function and obtain the optimal solution, and complete the integration of communication and perception based on partial non-orthogonal multiple access.

[0128] Optionally, the Semi-NOMA-based ISAC system includes:

[0129] Communications users, radar targets, and dual-function ISAC base stations;

[0130] Among them, the communication user maintains uplink communication with the ISAC base station. The ISAC base station sends a perception signal to the coverage area, which reaches the ISAC base station after being reflected by the perception target. In the transmission band of the ISAC area, the uplink communication signal and the perception echo share the frequency band resources in a NOMA manner. In other frequency bands, the uplink communication signal and the perception echo are multiplexed in an orthogonal manner and transmitted in the pure communication area and the pure perception area respectively, forming an uplink ISAC system based on Semi-NOMA.

[0131] Optionally, based on the ISAC system, a Semi-NOMA-based ISAC system signal model is constructed, including:

[0132] The ISAC system shares some frequency band resources in the ISAC area, so the time domain expression of the signal at the transmitter is As shown in the following formula:

[0133]

[0134] in, It is the sensing signal sent by the ISAC base station. Uplink communication signal sent to the user, Indicates The first The perceived symbols on the subcarriers, is the communication symbol on the nth subcarrier on the mth symbol; M is the number of OFDM, and the perception symbol is separated by time and frequency The unit is mapped to PRB, and the number of subcarriers carrying the perception signal is , the number of perceived symbols is , the subcarrier carrying the communication signal is ,in , and They represent the number of subcarriers in the pure sensing area, ISAC area and pure communication area respectively. is a rectangular pulse function; represents the subcarrier spacing; j represents the imaginary unit; T s Indicates the OFDM symbol duration, which is represented by the data duration T d and cyclic prefix time;

[0135] The signal reaching the ISAC base station is a mixture of the sensing echo signal reflected by the sensing target and the uplink communication signal. As shown in the following formula:

[0136]

[0137] in, , They are the sensing echo and the communication signal reaching the ISAC base station, is the transmitting power of the communication user, is the large-scale fading coefficient of the uplink communication link of the communication user; are the base station’s sensing signal transmission power and large-scale fading coefficient, represents the small-scale fading experienced by the communication signal, They represent the small-scale fading experienced by the transmitted and received perception signals respectively; , denoted as ,in Indicates round trip time delay The sensory signal, is the noise signal, and the noise power is .

[0138] Optionally, the radar estimation rate is used as a perception performance indicator, and based on the ISAC system signal model of Semi-NOMA, a radar estimation rate function for the target distance is established to obtain the information of the target distance, including:

[0139] Acquire the sensed echo in the previous sensing cycle; wherein the previous sensing cycle is a plurality of pulse repetition intervals T before the current cycle m ;

[0140] Through the observation of radar-based perception echoes in the previous perception cycle, the fluctuation process of target parameters is modeled and the radar estimation rate is calculated; the radar estimation rate perception performance index is introduced to measure the perception mutual information;

[0141] Based on the ISAC system signal model of Semi-NOMA, the system user communication rate function is established And the radar estimation rate function of the perceived target distance ; It represents the signal-to-interference ratio in pure communication area; Represents the signal-to-interference ratio of the ISAC area.

[0142] Optionally, the fluctuation process of the target parameters is modeled and the radar estimation rate is calculated, including:

[0143] Model the fluctuation process of the target parameter, and the modeling process obeys the Nakagami-m distribution;

[0144] Radar estimated velocity As shown in the following formula:

[0145]

[0146] in, represents the pulse repetition interval, is the pulse duration, is the duty cycle, and the variance of the target parameter fluctuation process based on the Nakagami-m distribution is , represents the expected power; the Cramer-Rao lower bound CRLB of the target distance R is .

[0147] Optionally, compute a Cramér-Rao lower bound on the target distance, including:

[0148] The perceived echo signal uses a two-dimensional fast Fourier algorithm to perform inverse Fourier transform on the perceived signal of the frequency axis and Fourier transform on the perceived signal of the time axis to obtain the signal delay and Doppler frequency shift information. , get the estimated distance of the target, where c is the speed of light, and calculate the Cramer-Rao lower bound of the target distance R as shown in the following formula: ; in, represents the square of the data duration; Represents the speed of light squared.

[0149] Optionally, calculating the communication interruption probability of the ISAC area includes:

[0150] According to the following formula, the probability of communication interruption in the ISAC area is:

[0151] ; Wherein, Pr represents the probability symbol; Indicates the signal-to-interference ratio threshold.

[0152] Optionally, based on the target distance estimation and the communication interruption probability of the ISAC area, a system total rate objective function that weighs the communication rate and the radar estimation rate is constructed, and the objective function is optimized to obtain an optimal solution, including:

[0153] Establish the total system rate that balances the communication rate with the radar estimation rate , where the system optimization problem is the total system rate that balances the communication rate with the radar estimation rate ; Among them, the total system rate is the trade-off between the communication rate and the radar estimation rate The composition includes: the communication rate of the pure communication area is , the communication rate of the ISAC area is , the radar estimation rate of the target distance is ;

[0154] The system optimization problem is transformed into the following optimization problem:

[0155]

[0156]

[0157]

[0158]

[0159]

[0160] Among them, α represents the frequency band proportion of the pure communication area; ɛ represents the frequency band proportion of the ISAC area; η represents the frequency band proportion of the pure sensing area; α+ɛ+η≤1 means that the total frequency band proportion of the entire system is less than or equal to 1;

[0161] The sequential convex optimization algorithm SCP is used to solve the optimization problem.

[0162] In the embodiment of the present invention, an innovative interawareness integration mechanism based on Semi-NOMA is proposed, with the goal of maximizing the sum rate of system communication and perception, and flexibly scheduling the time, frequency, and energy resources of the 5G NR uplink subframe. Specifically, the frequency band in the system uplink subframe is divided into three parts: a pure communication area, a pure perception area, and an ISAC area. Among them, the base station sends a downlink perception signal and realizes target perception by receiving an echo signal from the target. The frequency band of the perception signal covers the pure perception area and the ISAC area; the user sends an uplink signal to realize communication with the base station, and the uplink communication frequency band of the users in the system covers the pure communication area and the ISAC area; the perception signal and the communication signal are multiplexed only in the ISAC area by means of NOMA, while the spectrum resource multiplexing is still realized in an orthogonal manner in the pure communication area and the pure perception area, so it is called Semi-NOMA. The synaesthesia integration mechanism based on Semi-NOMA proposed in the patent of this invention optimizes the number of subcarriers in the pure communication area, perception area and ISAC area, the time-frequency resource interval of the comb spectrum of the perception signal, and the power of the communication and perception signals, while ensuring the interruption probability of communication users and the Cramer-Rao bound of target perception, to maximize the sum rate of system communication and perception.

[0163] Figure 6 is a schematic diagram of the structure of a communication and perception integrated device based on partial non-orthogonal multiple access provided by an embodiment of the present invention, such as Figure 6 As shown, the communication and perception integrated device based on partial non-orthogonal multiple access may include the above Figure 5 The communication and perception integration device based on partial non-orthogonal multiple access is shown. Optionally, the communication and perception integration device 410 based on partial non-orthogonal multiple access may include a first processor 2001.

[0164] Optionally, the communication and perception integrated device 410 based on partial non-orthogonal multiple access may also include a memory 2002 and a transceiver 2003 .

[0165] The first processor 2001, the memory 2002 and the transceiver 2003 may be connected via a communication bus.

[0166] Combine the following Figure 6 The components of the communication and perception integrated device 410 based on partial non-orthogonal multiple access are specifically introduced as follows:

[0167] The first processor 2001 is the control center of the communication and perception integrated device 410 based on partial non-orthogonal multiple access, and can be a processor or a general term for multiple processing elements. For example, the first processor 2001 is one or more central processing units (CPUs), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, such as one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (field programmable gate arrays, FPGAs).

[0168] Optionally, the first processor 2001 can perform various functions of the communication and perception integrated device 410 based on partial non-orthogonal multiple access by running or executing a software program stored in the memory 2002 and calling data stored in the memory 2002.

[0169] In a specific implementation, as an embodiment, the first processor 2001 may include one or more CPUs, such as Figure 6 CPU0 and CPU1 are shown in FIG.

[0170] In a specific implementation, as an embodiment, the communication and perception integrated device 410 based on partial non-orthogonal multiple access may also include multiple processors, such as Figure 6 The first processor 2001 and the second processor 2004 are shown in FIG. Each of these processors may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0171] The memory 2002 is used to store the software program for executing the solution of the present invention, and is controlled to be executed by the first processor 2001. The specific implementation method can refer to the above method embodiment, which will not be repeated here.

[0172] Optionally, the memory 2002 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 2002 may be integrated with the first processor 2001, or may exist independently, and may be accessed through the interface circuit ( Figure 6 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0173] The transceiver 2003 is used to communicate with a network device or a terminal device.

[0174] Optionally, the transceiver 2003 may include a receiver and a transmitter ( Figure 6 The receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0175] Optionally, the transceiver 2003 may be integrated with the first processor 2001, or may exist independently, and communicate with the first processor 2001 through the interface circuit ( Figure 6 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0176] It should be noted that Figure 6 The structure of the communication and perception integrated device 410 based on partial non-orthogonal multiple access shown in the figure does not constitute a limitation on the router. The actual knowledge structure recognition device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0177] In addition, the technical effects of the communication and perception integration device 410 based on partial non-orthogonal multiple access can refer to the technical effects of the communication and perception integration method based on partial non-orthogonal multiple access described in the above method embodiment, and will not be repeated here.

[0178] It should be understood that the first processor 2001 in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0179] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0180] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable sensors. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0181] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0182] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0183] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0184] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0185] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0186] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.

[0187] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A communication and perception integration method based on partial non-orthogonal multiple access, characterized in that: The method comprises: S1. Construct an ISAC system based on Semi-NOMA; the ISAC system includes at least one physical resource block PRB based on a 5G frame; the ISAC system is divided into a pure communication area, an ISAC area and a pure perception area; S2. Based on the ISAC system, construct an ISAC system signal model based on Semi-NOMA; S3, using the radar estimation rate as a perception performance indicator, and establishing a system user communication rate function and a radar estimation rate function for sensing target distance based on the ISAC system signal model based on Semi-NOMA; S4, calculate the Cramer-Rao lower bound of the target distance; calculate the communication interruption probability of the ISAC area; S5. Based on the Cramer-Rao lower bound of the target distance and the communication interruption probability of the ISAC area, a system total rate objective function that weighs the communication rate and the radar estimation rate is constructed, the objective function is optimized and the optimal solution is obtained, and the communication and perception integration based on partial non-orthogonal multiple access is completed.

2. The communication and perception integration method based on partial non-orthogonal multiple access according to claim 1, characterized in that: The Semi-NOMA-based ISAC system includes: Communications users, radar targets, and dual-function ISAC base stations; Among them, the communication user maintains uplink communication with the ISAC base station. The ISAC base station sends a perception signal to the coverage area, which reaches the ISAC base station after being reflected by the perception target. In the transmission band of the ISAC area, the uplink communication signal and the perception echo share the frequency band resources in a NOMA manner. In other frequency bands, the uplink communication signal and the perception echo are multiplexed in an orthogonal manner and transmitted in the pure communication area and the pure perception area respectively, forming an uplink ISAC system based on Semi-NOMA.

3. The communication and perception integration method based on partial non-orthogonal multiple access according to claim 2, characterized in that: In S2, based on the ISAC system, a Semi-NOMA-based ISAC system signal model is constructed, including: The ISAC system shares part of the frequency band resources in the ISAC area, so the time domain expression of the signal at the transmitting end is As shown in the following formula: ； in, It is the sensing signal sent by the ISAC base station. Uplink communication signal sent to the user, Indicates The first The perceived symbols on the subcarriers, is the communication symbol on the nth subcarrier on the mth symbol; M is the number of OFDM, and the perception symbol is separated by time and frequency The unit is mapped to PRB, and the number of subcarriers carrying the perception signal is , the number of perceived symbols is , the subcarrier carrying the communication signal is ,in , and Represent the number of subcarriers in the pure sensing area, ISAC area and pure communication area respectively; is a rectangular pulse function; represents the subcarrier spacing; j represents the imaginary unit; T s Indicates the OFDM symbol duration, which is represented by the data duration T d and cyclic prefix time; The signal reaching the ISAC base station is a mixture of the sensing echo signal reflected by the sensing target and the uplink communication signal. As shown in the following formula: ； in, , They are the sensing echo and the communication signal reaching the ISAC base station, is the transmitting power of the communication user, is the large-scale fading coefficient of the uplink communication link of the communication user; are the base station’s sensing signal transmission power and large-scale fading coefficient, represents the small-scale fading experienced by the communication signal, They represent the small-scale fading experienced by the transmitted and received perception signals respectively; , denoted as ,in Indicates round trip time delay The sensory signal, is the noise signal, and the noise power is .

4. The communication and perception integration method based on partial non-orthogonal multiple access according to claim 3 is characterized in that: In S3, the radar estimation rate is used as a perception performance indicator, and based on the ISAC system signal model based on Semi-NOMA, a system user communication rate function and a radar estimation rate function for perceiving target distance are established, including: Acquire the sensed echo in the previous sensing cycle; wherein the previous sensing cycle is a plurality of pulse repetition intervals T before the current cycle m ; Through the observation of the radar's perceived echo in the previous perception cycle, the fluctuation process of the target parameters is modeled and the radar estimation rate is calculated; the radar estimation rate perception performance index is introduced to measure the perception mutual information; Based on the ISAC system signal model based on Semi-NOMA, a system user communication rate function is established And the radar estimation rate function of the perceived target distance ; It represents the signal-to-interference ratio in pure communication area; Represents the signal-to-interference ratio of the ISAC area.

5. The communication and perception integration method based on partial non-orthogonal multiple access according to claim 4, characterized in that: The modeling of the target parameter fluctuation process and calculation of the radar estimation rate include: Model the fluctuation process of the target parameter, and the modeling process obeys the Nakagami-m distribution; Radar estimated velocity As shown in the following formula: ； in, represents the pulse repetition interval, is the pulse duration, is the duty cycle, and the variance of the target parameter fluctuation process based on the Nakagami-m distribution is , represents the expected power; the Cramer-Rao lower bound CRLB of the target distance R is .

6. The communication and perception integration method based on partial non-orthogonal multiple access according to claim 5, characterized in that: In S4, the Cramer-Rao lower bound of the target distance is calculated, including: Calculate the Cramer-Rao lower bound of the target distance R as shown in the following formula: ； in, represents the square of the data duration; Represents the speed of light squared.

7. The communication and perception integration method based on partial non-orthogonal multiple access according to claim 6, characterized in that: In S4, calculating the communication interruption probability of the ISAC area includes: According to the following formula, the probability of communication interruption in the ISAC area : ； Wherein, Pr represents the probability symbol; Indicates the signal-to-interference ratio threshold.

8. The communication and perception integration method based on partial non-orthogonal multiple access according to claim 7, characterized in that: Based on the target distance estimation and the communication interruption probability of the ISAC area, a system total rate objective function that weighs the communication rate and the radar estimation rate is constructed, and the objective function is optimized to obtain the optimal solution, including: Establish a system optimization problem, where the system optimization problem is the total system rate that trades off the communication rate and the radar estimation rate ; Among them, the total system rate is the trade-off between the communication rate and the radar estimation rate The composition includes: the communication rate of the pure communication area is , the communication rate of the ISAC area is , the radar estimation rate of the target distance is ; The system optimization problem is transformed into the following optimization problem: ； ； ； ； ； ； Among them, α represents the frequency band proportion of the pure communication area; ɛ represents the frequency band proportion of the ISAC area; η represents the frequency band proportion of the pure sensing area; α+ɛ+η≤1 means that the total frequency band proportion of the entire system is less than or equal to 1; The optimization problem is solved using a sequential convex optimization algorithm SCP.

9. A communication and perception integration device based on partial non-orthogonal multiple access, the communication and perception integration device based on partial non-orthogonal multiple access is used to implement the communication and perception integration method based on partial non-orthogonal multiple access as described in any one of claims 1 to 8, characterized in that: The device comprises: An ISAC system building module is used to build an ISAC system based on Semi-NOMA; the ISAC system includes at least one physical resource block PRB based on a 5G frame; the ISAC system is divided into a pure communication area, an ISAC area and a pure perception area; A system signal model building module, used to build an ISAC system signal model based on Semi-NOMA based on the ISAC system; A radar estimation rate module, used to use the radar estimation rate as a perception performance indicator, and to establish a system user communication rate function and a radar estimation rate function for perceiving a target distance based on the ISAC system signal model based on Semi-NOMA; Parameter calculation module, used to calculate the Cramer-Rao lower bound of the target distance; calculate the communication interruption probability of the ISAC area; The optimization solution module is used to construct a system total rate objective function that weighs the communication rate and the radar estimation rate based on the Cramer-Rao lower bound of the target distance and the communication interruption probability of the ISAC area, optimize the objective function and obtain the optimal solution, and complete the integration of communication and perception based on partial non-orthogonal multiple access.

10. A communication and perception integrated device based on partial non-orthogonal multiple access, characterized in that: The communication and perception integrated device based on partial non-orthogonal multiple access includes: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 8 is implemented.

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