RSMA-assisted communication perception integrated security precoding optimization method and system

Abstract

The invention belongs to the technical field of wireless mobile communication, and discloses an RSMA-assisted communication perception integrated security precoding optimization method and system. An innovative solution is provided for solving the problems that in an existing communication system, safe communication and interference eavesdropping are difficult to achieve at the same time, and the communication perception performance is difficult to maximize on the premise that the safe transmission rate constraint is met. According to the method, the base station sending signals are divided into the public information and the private information, and the signal separation characteristic of the RSMA is utilized, so that safe communication guarantee is provided for legal users, the public information is ingeniously utilized to interfere with eavesdroppers, and the communication safety is effectively improved. Meanwhile, through joint optimization of a pre-coding matrix and a public flow rate strategy, on the basis of satisfying a physical layer security transmission rate constraint, maximization of communication perception performance is realized, utilization efficiency of system resources is obviously improved, energy consumption and hardware cost are reduced, and the method is suitable for large-scale popularization and application. An efficient, economical and safe brand new thought is provided for design and optimization of a communication and perception integrated system, and the method has remarkable creativity and practical application value.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless mobile communications, and in particular relates to a RSMA-assisted communication perception integrated security precoding optimization method and system. Background Art

[0002] With the rapid development of wireless communication technology, Integrated Sensing and Communication (ISAC) has become a research hotspot. ISAC aims to realize communication and sensing functions on the same hardware platform by sharing spectrum resources, thereby significantly improving spectrum efficiency and system performance.

[0003] Currently, most research on ISAC system security focuses on maximizing security performance while ensuring certain communication and perception requirements. However, this approach often overlooks the joint optimization of communication and perception. In reality, communication and perception are closely linked in areas such as resource allocation and signal processing. Joint optimization of the two can further improve the overall performance and security of the system. However, achieving this joint optimization remains a challenge in current research. Furthermore, existing research on ISAC eavesdropping scenarios has mostly focused on passive eavesdropping, where an eavesdropper can only passively receive and interpret information. However, in practice, an eavesdropper may possess both active and passive eavesdropping capabilities, for example, by transmitting jamming signals to disrupt the system's normal communication and perception functions. Rate Division Multiple Access (RSMA), a novel multiple access method, divides user information into public and private components for layered transmission. This ensures user communication quality while providing strong anti-eavesdropping capabilities, effectively improving the system's physical layer security.

[0004] Through the above analysis, the problems and defects of the existing technology are as follows:

[0005] (1) Most of the existing ISAC security research focuses on maximizing security performance under certain communication and perception requirements, but ignores the joint optimization of communication and perception.

[0006] (2) Most of the existing ISAC eavesdropping scenarios focus on passive eavesdropping scenarios, and there is little research on the situation where the eavesdropper is both active and passive. Summary of the Invention

[0007] In response to the problems existing in the prior art, the present invention provides an RSMA-assisted communication perception integrated security precoding optimization method.

[0008] The present invention is implemented as follows: an RSMA-assisted communication perception integrated security precoding optimization method includes:

[0009] Step 1: Construct a communication-awareness integrated system model based on RSMA;

[0010] Step 2: Design a RSMA transmission scheme based on secure precoding;

[0011] Step 3: Solve the joint optimization problem to achieve secure communication transmission and efficient perception.

[0012] Furthermore, the construction of the RSMA-based communication perception integrated system model in step 1 includes: setting up a t antennas of the base station (BS), the number of communication users is expressed as The number of perceived targets is expressed as Eavesdroppers are divided into active and passive eavesdroppers. Active eavesdroppers send interference signals that affect system performance, while passive eavesdroppers only receive system signals for decoding. The interference of active eavesdroppers affects both communication and perception performance. The system considers both countering the interference of active eavesdroppers and preventing information leakage from passive eavesdroppers. The base station uses RSMA technology to divide the information into public and private parts. The public part can be decoded by all users, while the private part can only be decoded by designated users. The base station precodes the transmitted signal and transmits it through the antenna, while receiving the echo signal reflected by the target for perception.

[0013] The construction of the RSMA-based communication perception integrated system model in step 1 also includes: RSMA is used to communicate between the BS and K legitimate users; according to the basic principle of RSMA, the information W of each user k is k It is divided into two parts: public information W c,k and private information W p,k ; Then, all users' public information parts W c,1 ,W c,2 ,×,W c,K Combine to form a new public information W c ; Then, the public information W c Generate a public signal s through collaborative coding c , the private information W of each user k p,k Encoding generates private signal s k ; Among them, the public signal s c and private signals k The transmission power satisfies the following normalization conditions: in represents the expectation operation, | |· | | represents the Euclidean norm.

[0014] Furthermore, the RSMA transmission scheme based on secure precoding in step 2 further includes: the system's transmitted signal can be expressed as: where p cis the precoding vector of public information, p k is the precoding vector of user k’s private information; due to the interference of the active eavesdropper, the signal received by the k-th user is:

[0015]

[0016] The channel model of the legitimate user is: in is a real channel, Δh obeys the complex Gaussian distribution and satisfies The interference signal of the eavesdropping user is represented by x e ,and P k represents the eavesdropper's transmission power, h ek represents the channel from the active eavesdropper to the legitimate user, and is Gaussian white noise at user k; this active interference introduces additional noise into the system, affecting the signal-to-interference-and-noise ratio (SINR) of legitimate users; therefore, the modified SINR expressions for the public and private streams at each legitimate user base station are given by:

[0017]

[0018] The public flow rate of a user can be expressed as:

[0019] R c,k =log2(1+γ c,k )

[0020] To ensure that all users can decode the public message smoothly, the actual rate of the public message should not exceed the transmission rate, that is, the public flow rate C1,…C allocated to each user. k Should meet: Since legitimate users can first decode the public stream signal through SIC and then decode their own private messages, the message received by the legitimate users after SIC can be expressed as:

[0021]

[0022] The SINR of the user decoding private stream message can be expressed as:

[0023]

[0024] The user's private flow rate can be expressed as:

[0025] R p,k =log2(1+γ p,k ).

[0026] Furthermore, the perception performance of the system can be expressed as follows: In order to improve the performance of target tracking and avoid wasting detection resources on target positions that are not of interest, the signal-to-noise ratio (SNR) of the echo signal is maximized to improve the perception performance, which can be expressed as:

[0027]

[0028] Where H(θ n )=βa(θ n )a(θ n ) H ,θ n is the target direction angle, is the direction vector, where λ and d represent the carrier wavelength and antenna spacing respectively; β is the radar cross section, σ r 2 Represents the noise power at the BS.

[0029] Furthermore, the security performance of the system can be expressed as follows: For an eavesdropper, the received signal can be expressed as:

[0030]

[0031] in Denote the ideal channel of the eavesdropper, the channel estimation error vector Obey complex Gaussian distribution;

[0032] The SINR of eavesdropping on the public flow message of a legitimate user can be expressed as:

[0033]

[0034] Its eavesdropping rate on public information is:

[0035]

[0036] Due to the RSMA principle, the eavesdropper cannot eliminate the public information through successive interference cancellation (SIC) to decode the private information, so the SINR of its private information is:

[0037]

[0038] The achievable eavesdropping rate of private information is:

[0039] R e,k =log2(1+γ e,k ).

[0040] Furthermore, the joint optimization problem in step 3 includes maximizing the weighted sum of the communication transmission rate and the radar perception performance, which can be expressed as problem P1

[0041]

[0042] 0≤α≤1(1e)

[0043] C k ≥0(1f)

[0044] Among them, (1b) ensures that every legitimate user can successfully decode the public message; (1c) ensures that the eavesdropper cannot correctly decode the legitimate user's information; (1d) is expressed as a power constraint, and (1e) describes the range of α.

[0045] For problem p1, by introducing dummy variables p and q, the problem can be transformed into the following problem p2:

[0046]

[0047] (1b), (1c), (1d), (1e), (1f) (2e)

[0048] The non-convexity of the problem is due to (2b), (2c), (1b), (1c). The following problem is solved by the SCA method; for problem (2b), by introducing the slack variable a k The following equivalent formula can be obtained:

[0049]

[0050] In order to solve (3b), the dummy variable b is introduced again k The following equivalent formula can be obtained:

[0051]

[0052] (4b) can be expressed as:

[0053]

[0054] Through the first-order Taylor expansion, (5a) can be transformed into a convex constraint:

[0055]

[0056] Therefore (2b) can be rewritten as

[0057]

[0058] For problem (2c), apply the first-order Taylor expansion to the left half of the inequality to transform it into a convex constraint:

[0059]

[0060] Similarly, (1b) can be transformed into the following formula:

[0061]

[0062] in For constraint (1c), introducing dummy variables m and q is equivalent to the following formula

[0063]

[0064] For (10b) and (10c), using the first-order Taylor expansion, we can obtain:

[0065]

[0066] So, we can get the final problem P3

[0067]

[0068] (7), (8), (9), (10a), (11), (12), (1d)-(1f)(13b).

[0069] Another object of the present invention is to provide an RSMA-assisted communication perception integrated security precoding optimization system comprising:

[0070] Building modules for constructing a communication-awareness integrated system model based on RSMA;

[0071] Design module, used to design RSMA transmission scheme based on secure precoding;

[0072] The solving module is used to solve the joint optimization problem to achieve secure communication transmission and efficient perception.

[0073] Another object of the present invention is to provide a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the RSMA-assisted communication-aware integrated security precoding optimization method.

[0074] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to perform the steps of the RSMA-assisted communication-aware integrated security precoding optimization method.

[0075] Another object of the present invention is to provide an information data processing terminal, which is used to implement the RSMA-assisted communication perception integrated security precoding optimization system.

[0076] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0077] First, the present invention proposes an innovative solution to the problems that it is difficult to achieve secure communication and interference eavesdropping at the same time in existing communication systems, and it is difficult to maximize communication perception performance while meeting the security transmission rate constraints. By dividing the base station transmission signal into public information and private information, and utilizing the signal separation characteristics of RSMA, it not only provides secure communication guarantees for legitimate users, but also cleverly uses public information to interfere with eavesdroppers, effectively improving communication security. At the same time, the present invention maximizes communication perception performance on the basis of meeting the physical layer security transmission rate constraints by jointly optimizing the precoding matrix and the public flow rate strategy, significantly improving the utilization efficiency of system resources, reducing energy consumption and hardware costs, and providing a new, efficient, economical and secure approach for the design and optimization of integrated communication perception systems, with significant creativity and practical application value.

[0078] Second, the present invention is mainly used in the field of communications. With the continuous development of 5G and future 6G communication technologies, communication perception integration technology has become an important development direction. The present invention significantly improves the security and perception performance of communications through innovative signal separation and joint optimization strategies, and can effectively meet the market demand for high-security, high-performance communication systems. In terms of commercial applications, this technical solution can be widely used in base station construction, Internet of Things communications, intelligent transportation and other fields, providing related companies with more competitive technical solutions, thereby helping companies occupy a dominant position in the market and obtain higher market share and economic benefits.

[0079] In existing communication technologies, how to maximize communication perception performance while ensuring communication security has always been a technical problem that needs to be solved urgently. The present invention divides the base station transmission signal into public information and private information, and based on the signal separation characteristics of RSMA, it simultaneously achieves secure communication for legitimate users and interference against eavesdroppers. This innovative idea has not been reported in the relevant technical fields at home and abroad. In addition, the present invention further maximizes the communication perception performance while meeting the physical layer security transmission rate constraints by jointly optimizing the precoding matrix and the public flow rate strategy, providing a new technical path for the design and optimization of integrated communication perception systems. This comprehensive technical solution is not only innovative in theory, but also has high feasibility and practicality in practical applications, effectively filling the gap in this technical direction at home and abroad.

[0080] Third, in traditional integrated communication and perception systems, a single precoding scheme is typically used to meet both communication and perception requirements. However, the simultaneous presence of active and passive eavesdroppers places higher demands on system security, especially in multi-user scenarios where it is difficult to balance rate requirements, perception performance, and security constraints. Existing approaches often focus solely on secure communication or radar perception alone, failing to efficiently integrate RSMA (Rate-Splitting Multiple Access) technology in the presence of eavesdropping interference to achieve the multiple goals of communication, perception, and security protection.

[0081] The present invention applies RSMA to an integrated communication and perception system, and uses a secure precoding strategy to combat interference from active eavesdroppers and eavesdropping from passive eavesdroppers. This solution splits user information into public and private parts at the transmission level, and through flexible power allocation and precoding design, enables each legitimate user to reliably decode public and private streams. At the same time, the present invention also combines the SNR optimization of radar echo signals, enabling the system to maintain a high perception accuracy in an interference environment. Compared with the existing technology, the present invention has achieved significant improvements in multiple dimensions (communication rate, perception performance, and security).

[0082] In scenarios such as the Internet of Things, intelligent transportation, and 5G / 6G networks, efficient communication capabilities and accurate environmental perception are required, as well as protection against potential eavesdropping or interference. This invention, by introducing a mechanism combining RSMA with secure precoding, provides a low-error, high-speed, and highly anti-interference communication method for multi-user systems, while also taking into account perception functions such as target detection and tracking. The designed iterative optimization algorithm can converge rapidly in actual devices, meeting the high real-time and multi-user concurrency requirements, and is of great significance to the technological upgrade and security assurance of related industries.

[0083] This invention has made significant progress in addressing the challenges of efficient transmission and security in integrated communication and perception. By introducing RSMA, public and private information are processed separately, and combined with dual protection mechanisms against active eavesdroppers and passive eavesdroppers, this method achieves a joint optimization of communication rate and radar perception performance within security constraints. This method is expected to be widely adopted in various application scenarios, including next-generation mobile communication networks, the Internet of Vehicles, and drone monitoring, providing the industry with a secure, stable, and efficient integrated communication and perception solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 This is a flow chart of the RSMA-assisted communication perception integrated security precoding optimization method provided by an embodiment of the present invention;

[0085] Figure 2This is a structural block diagram of an RSMA-assisted communication perception integrated security precoding optimization system provided by an embodiment of the present invention;

[0086] Figure 3 Schematic diagram of the RSMA-assisted communication-awareness integrated security model provided by an embodiment of the present invention;

[0087] Figure 4 Schematic diagram of the number of algorithm iterations provided by an embodiment of the present invention;

[0088] Figure 5 1 is a schematic diagram of communication perception security weights and under different CSI conditions provided by an embodiment of the present invention;

[0089] Figure 6 is a diagram of the public flow rate and the eavesdropping rate under different CSI conditions provided by an embodiment of the present invention;

[0090] Figure 7 Schematic diagram of communication performance under different coefficients provided by an embodiment of the present invention;

[0091] Figure 8 Schematic diagram of perceptual performance under different coefficients provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0092] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0093] In this method, the base station first collects system parameters and channel information related to communication and perception, including the channel conditions of legitimate users, the channel distribution of possible eavesdroppers, and perception data such as target direction and noise power. Based on the basic principles of hierarchical multiple access technology, the system includes several legitimate users and several perception targets. During the system initialization phase, it is necessary to distinguish between active and passive eavesdroppers: active eavesdroppers send interference signals, affecting communication and perception performance; passive eavesdroppers only receive signals and attempt to decode them. To determine the transmission scheme for public and private information, the base station preprocesses the multi-source data and completes preliminary modeling and parameter setting, including power allocation plan, channel estimation accuracy, and prior information on target direction.

[0094] After obtaining the system parameters, the base station splits each user's information into a public portion and a private portion. The public portion is combined and encoded into a public signal, while the private portion is encoded into separate private signals. The system then allocates power to the public and private signals and normalizes them to meet power constraints. The base station then designs precoding vectors for the public and private signals separately and combines them into the final transmitted signal. This process comprehensively considers factors such as the channel conditions, noise levels, and interference effects of authorized users to ensure that public information can be correctly decoded by all users, while private information can only be decoded by the corresponding user.

[0095] During communication, active eavesdroppers can interfere with legitimate users' received signals. For each user, the received signal is a combination of the base station's signal, the eavesdropper's interference, and noise. Because the system uses continuous interference cancellation for decoding, users first decode the public portion, then remove the public portion from the decoded signal before continuing to decode the private portion. To evaluate transmission performance, the signal-to-interference-and-noise ratio (SINR) of the public and private portions must be calculated. The transmission rate of public information must be guaranteed to not exceed the decoding capacity of any user, thereby ensuring accurate and stable communication.

[0096] While transmitting communication signals, the base station uses a multi-antenna array to detect targets and obtain echo signals to complete the sensing task. Based on the target's direction and antenna layout, a corresponding direction vector can be constructed. Combined with information such as the target's cross-sectional parameters and noise level, the signal-to-noise ratio (SNR) or detection probability during the sensing process is calculated. This method prioritizes improving the SNR of the echo signal. Because interference signals from active eavesdroppers not only affect communications but also introduce additional noise into the sensed echo, this type of interference needs to be filtered out or estimated and compensated for in the sensing module to improve target tracking and positioning accuracy.

[0097] For a passive eavesdropper, the received signal consists of the base station's signal and channel estimation errors. Since a passive eavesdropper cannot remove public information through continuous interference cancellation, it is difficult to decode private information, but it may attempt to decipher public information. When measuring security performance, the system calculates the potential eavesdropping rate achievable by a passive eavesdropper, including its potential decoding capabilities for both public and private portions. If the passive eavesdropper's signal-to-interference-to-noise ratio (SIR) exceeds a certain threshold, it may successfully decipher some legitimate user information. To this end, the system limits the SIR of passive eavesdroppers during the precoding and power allocation phases to ensure they cannot steal critical data.

[0098] After integrating communication, perception, and security performance, the system formulates a joint optimization problem to maximize the weighted sum of communication rate and perception quality, which is solved under conditions such as secure decoding and power constraints. Because this problem is typically non-convex, it requires a successive convex approximation or other iterative approach. Specifically, this approach first introduces auxiliary variables to transform the complex problem, which originally involves signal-to-interference-and-noise ratio inequalities and eavesdropper constraints, into an equivalent convex form. A first-order approximation expansion is then used to approximate the nonlinear part as a convex set. These auxiliary variables are updated in each iteration, continuously improving the objective function until convergence. The resulting precoding and power allocation scheme balances communication and perception efficiency while maintaining information security under the threat of interference and eavesdropping from both active and passive eavesdroppers.

[0099] like Figure 1 As shown, an RSMA-assisted communication perception integrated security precoding optimization method provided by an embodiment of the present invention includes the following steps:

[0100] S101, building a communication perception integrated system model based on RSMA;

[0101] S102, designing a RSMA transmission scheme based on secure precoding;

[0102] S103, solving a joint optimization problem to achieve secure communication transmission and efficient perception.

[0103] The construction of the RSMA-based communication perception integrated system model in S101 provided by the embodiment of the present invention includes: setting up a t antennas of the base station (BS), the number of communication users is expressed as The number of perceived targets is expressed as Eavesdroppers are divided into active and passive eavesdroppers. Active eavesdroppers send interference signals that affect system performance, while passive eavesdroppers only receive system signals for decoding. The interference of active eavesdroppers affects both communication and perception performance. The system considers both countering the interference of active eavesdroppers and preventing information leakage from passive eavesdroppers. The base station uses RSMA technology to divide the information into public and private parts. The public part can be decoded by all users, while the private part can only be decoded by designated users. The base station precodes the transmitted signal and transmits it through the antenna, while receiving the echo signal reflected by the target for perception.

[0104] The construction of the RSMA-based communication perception integrated system model in S101 provided by the embodiment of the present invention further includes: RSMA is used to communicate between the BS and K legitimate users; according to the basic principle of RSMA, the information W of each user k is k It is divided into two parts: public information W c,k and private information W p,k; Then, all users' public information parts W c,1 ,W c,2 ,…,W c,K Combine to form a new public information W c ; Then, the public information W c Generate a public signal s through collaborative coding c , the private information W of each user k p,k Encoding generates private signal s k ; Among them, the public signal s c and private signals k The transmission power satisfies the following normalization conditions: in represents the expectation operation, | |· | | represents the Euclidean norm.

[0105] The RSMA transmission solution based on secure precoding in S102 provided by the embodiment of the present invention further includes: the system's transmitted signal can be expressed as: where p c is the precoding vector of public information, p k is the precoding vector of user k’s private information; due to the interference of the active eavesdropper, the signal received by the k-th user is:

[0106]

[0107] The channel model of the legitimate user is: in is a real channel, Δh obeys the complex Gaussian distribution and satisfies The interference signal of the eavesdropping user is represented by x e ,and P k represents the eavesdropper's transmission power, h ek represents the channel from the active eavesdropper to the legitimate user, and is Gaussian white noise at user k; this active interference introduces additional noise into the system, affecting the signal-to-interference-and-noise ratio (SINR) of legitimate users; therefore, the modified SINR expressions for the public and private streams at each legitimate user base station are given by:

[0108]

[0109] The public flow rate of a user can be expressed as:

[0110] R c,k =log2(1+γ c,k )

[0111] To ensure that all users can decode the public message smoothly, the actual rate of the public message should not exceed the transmission rate, that is, the public flow rate C1,…C allocated to each user. k Should meet: Since legitimate users can first decode the public stream signal through SIC and then decode their own private messages, the message received by the legitimate users after SIC can be expressed as:

[0112]

[0113] The SINR of the user decoding private stream message can be expressed as:

[0114]

[0115] The user's private flow rate can be expressed as:

[0116] R p,k =log2(1+γ p,k ).

[0117] The perception performance of the system provided by the embodiment of the present invention can be expressed as follows: In order to improve the performance of target tracking and avoid wasting detection resources on target positions that are not of interest, the signal-to-noise ratio (SNR) of the echo signal is maximized to improve the perception performance, which can be expressed as:

[0118]

[0119] Where H(θ n )=βa(θ n )a(θ n ) H ,θ n is the target direction angle, is the direction vector, where λ and d represent the carrier wavelength and antenna spacing respectively; β is the radar cross section, Represents the noise power at the BS.

[0120] The security performance of the system provided by the embodiment of the present invention can be expressed as follows: For an eavesdropper, the received signal can be expressed as:

[0121]

[0122] in Denote the ideal channel of the eavesdropper, the channel estimation error vector Obey complex Gaussian distribution;

[0123] The SINR of eavesdropping on the public flow message of a legitimate user can be expressed as:

[0124]

[0125] Its eavesdropping rate on public information is:

[0126] R c e =log2(1+γ e,c )

[0127] Due to the RSMA principle, the eavesdropper cannot eliminate the public information through successive interference cancellation (SIC) to decode the private information, so the SINR of its private information is:

[0128]

[0129] The achievable eavesdropping rate of private information is:

[0130] R e,k =log2(1+γ e,k ).

[0131] The solution to the joint optimization problem in S103 provided by the embodiment of the present invention includes: maximizing the weighted sum of the communication transmission rate and the radar perception performance, which can be expressed as problem P1

[0132]

[0133] 0≤α≤1(1e)

[0134] C k ≥0(1f)

[0135] Among them, (1b) ensures that every legitimate user can successfully decode the public message; (1c) ensures that the eavesdropper cannot correctly decode the legitimate user's information; (1d) is expressed as a power constraint, and (1e) describes the range of α.

[0136] For problem p1, by introducing dummy variables p and q, the problem can be transformed into the following problem p2:

[0137]

[0138] (1b), (1c), (1d), (1e), (1f) (2e)

[0139] The non-convexity of the problem is due to (2b), (2c), (1b), (1c). The following problem is solved by the SCA method; for problem (2b), by introducing the slack variable a k The following equivalent formula can be obtained:

[0140]

[0141] In order to solve (3b), the dummy variable b is introduced again kThe following equivalent formula can be obtained:

[0142]

[0143] (4b) can be expressed as:

[0144]

[0145] Through the first-order Taylor expansion, (5a) can be transformed into a convex constraint:

[0146]

[0147] Therefore (2b) can be rewritten as

[0148]

[0149] For problem (2c), apply the first-order Taylor expansion to the left half of the inequality to transform it into a convex constraint:

[0150]

[0151] Similarly, (1b) can be transformed into the following formula:

[0152]

[0153] in For constraint (1c), introducing dummy variables m and q is equivalent to the following formula

[0154]

[0155] For (10b) and (10c), using the first-order Taylor expansion, we can obtain:

[0156]

[0157] So, we can get the final problem P3

[0158]

[0159] (7), (8), (9), (10a), (11), (12), (1d)-(1f)(13b).

[0160] like Figure 2 As shown, an RSMA-assisted communication perception integrated security precoding optimization system provided by an embodiment of the present invention includes:

[0161] Building modules for constructing a communication-awareness integrated system model based on RSMA;

[0162] Design module, used to design RSMA transmission scheme based on secure precoding;

[0163] The solving module is used to solve the joint optimization problem to achieve secure communication transmission and efficient perception.

[0164] Another object of the present invention is to provide a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the RSMA-assisted communication-aware integrated security precoding optimization method.

[0165] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to perform the steps of the RSMA-assisted communication-aware integrated security precoding optimization method.

[0166] Another object of the present invention is to provide an information data processing terminal, which is used to implement the RSMA-assisted communication perception integrated security precoding optimization system.

[0167] like Figure 3 As shown, the RSMA-assisted communication-aware integrated security model is schematically illustrated;

[0168] like Figure 4 As shown, the schematic diagram of the number of algorithm iterations;

[0169] like Figure 5 As shown, the communication perception security weighted sum schematic diagram under different CSI conditions;

[0170] like Figure 6 As shown, the public flow rate and eavesdropping rate graphs under different CSI conditions;

[0171] like Figure 7 As shown, the communication performance diagram under different coefficients;

[0172] like Figure 8 As shown in Figure 2, a schematic diagram of perceptual performance under different coefficients.

[0173] The application of the present invention in the field of intelligent transportation is particularly prominent. For example, in the vehicle network communication scenario, the base station serves as an integrated communication and perception node to provide high-speed and secure communication services for vehicles. In specific implementation, the base station divides the transmitted signal into two parts: public information and private information. Private information is used for secure communication between vehicles, such as the transmission of key information such as vehicle driving status and emergency braking; public information is used to interfere with potential eavesdroppers and prevent sensitive information from being illegally obtained. Through the signal separation characteristics of RSMA, legitimate vehicles can receive private information normally, while eavesdroppers find it difficult to decode due to the interference of public information. At the same time, the system maximizes the communication perception performance while ensuring communication security by jointly optimizing the precoding matrix and the public flow rate strategy, ensuring that vehicles can perceive the surrounding environment in real time and accurately, thereby improving traffic safety. This application not only improves the security and reliability of vehicle network communications, but also provides strong support for the efficient operation of intelligent transportation systems.

[0174] The present invention demonstrates significant technical effects both in theory and practice through innovative signal separation and joint optimization strategies. In theory, the present invention divides the base station transmission signal into public information and private information, and uses the signal separation characteristics of RSMA to achieve secure communication for legitimate users and interference for eavesdroppers, effectively reducing the probability of eavesdroppers decoding private information, thereby greatly improving communication security. At the same time, by jointly optimizing the precoding matrix and the public flow rate strategy, the communication perception performance is maximized while meeting the physical layer security transmission rate constraints, significantly improving the overall system performance. Simulation verification further confirms the superiority of the present invention. For specific simulation results, please refer to the attached Figure 4-8 .

[0175] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware portion can be implemented using dedicated logic; the software portion can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. Those skilled in the art will appreciate that the above-mentioned devices and methods can be implemented using computer-executable instructions and / or contained in processor control code, for example, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, or can be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0176] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with this technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered by the scope of protection of the present invention.

Claims

1. A RSMA-assisted communication perception integrated security precoding optimization method, characterized in that: The following steps are involved: Step 1: Construct a communication-awareness integrated system model based on RSMA; Step 2: Design a RSMA transmission scheme based on secure precoding; Step 3: Solve the joint optimization problem to achieve secure communication transmission and efficient perception.

2. The RSMA-assisted communication-aware integrated security precoding optimization method according to claim 1, wherein: The construction of the RSMA-based communication perception integrated system model in step 1 includes: setting up a t antennas of the base station (BS), the number of communication users is expressed as The number of perceived targets is expressed as Eavesdroppers are divided into active and passive eavesdroppers. Active eavesdroppers send interference signals that affect system performance, while passive eavesdroppers only receive system signals for decoding. The interference of active eavesdroppers affects both communication and perception performance. The system considers both countering the interference of active eavesdroppers and preventing information leakage from passive eavesdroppers. The base station uses RSMA technology to divide the information into public and private parts. The public part can be decoded by all users, while the private part can only be decoded by designated users. The base station precodes the transmitted signal and transmits it through the antenna, while receiving the echo signal reflected by the target for perception. The construction of the RSMA-based communication perception integrated system model in step 1 also includes: RSMA is used to communicate between the BS and K legitimate users; according to the basic principle of RSMA, the information W of each user k is k It is divided into two parts: public information W c,k and private information W p,k ; Then, all users' public information parts W c,1 ,W c,2 ,×,W c,K Combine to form a new public information W c ; Then, the public information W c Generate a public signal s through collaborative coding c , the private information W of each user k p,k Encoding generates private signal s k ; Among them, the public signal s c and private signals k The transmission power satisfies the following normalization conditions: in represents the expectation operation, and ||·|| represents the Euclidean norm.

3. The RSMA-assisted communication-aware integrated security precoding optimization method according to claim 1, characterized in that: The RSMA transmission scheme based on secure precoding in step 2 further includes: the system's transmission signal can be expressed as: where p c is the precoding vector of public information, p k is the precoding vector of user k’s private information; due to the interference of the active eavesdropper, the signal received by the k-th user is: The channel model of the legitimate user is: in is a real channel, Δh obeys the complex Gaussian distribution and satisfies The interference signal of the eavesdropping user is represented by x e ,and P k represents the eavesdropper's transmission power, h ek represents the channel from the active eavesdropper to the legitimate user, and is Gaussian white noise at user k; this active interference introduces additional noise into the system, affecting the signal-to-interference-and-noise ratio (SINR) of legitimate users; therefore, the modified SINR expressions for the public and private streams at each legitimate user base station are given by: The public flow rate of a user can be expressed as: R c,k =log2(1+γ c,k ) To ensure that all users can decode the public message smoothly, the actual rate of the public message should not exceed the transmission rate, that is, the public flow rate C1,×C allocated to each user. k Should meet: Since legitimate users can first decode the public stream signal through SIC and then decode their own private messages, the message received by the legitimate users after SIC can be expressed as: The SINR of the user decoding private stream message can be expressed as: The user's private flow rate can be expressed as: R p,k =log2(1+γ p,k )。 4. The RSMA-assisted communication-aware integrated security precoding optimization method according to claim 1, wherein: The system's perception performance can be expressed as follows: In order to improve target tracking performance and avoid wasting detection resources on uninteresting target locations, the signal-to-noise ratio (SNR) of the echo signal is maximized to improve perception performance, which can be expressed as: Where H(θ n )=βa(θ n )a(θ n ) H ,θ n is the target direction angle, is the direction vector, where λ and d represent the carrier wavelength and antenna spacing respectively; β is the radar cross section, Represents the noise power at the BS.

5. The RSMA-assisted communication perception integrated security precoding optimization method according to claim 1, characterized in that: The security performance of the system can be expressed as follows: For an eavesdropper, the received signal can be expressed as: in Denote the ideal channel of the eavesdropper, the channel estimation error vector Obey complex Gaussian distribution; The SINR of eavesdropping on the public flow message of a legitimate user can be expressed as: Its eavesdropping rate on public information is: Due to the RSMA principle, the eavesdropper cannot eliminate the public information through successive interference cancellation (SIC) to decode the private information, so the SINR of its private information is: The achievable eavesdropping rate of private information is: R e,k =log2(1+γ e,k )。 6. The RSMA-assisted communication-aware integrated security precoding optimization method according to claim 1, wherein: The joint optimization problem in step 3 is solved by maximizing the weighted sum of the communication transmission rate and the radar perception performance, which can be expressed as problem P1 0≤α≤1(1e) C k ≥0(1f) Among them, (1b) ensures that every legitimate user can successfully decode the public message; (1c) ensures that the eavesdropper cannot correctly decode the legitimate user's information; (1d) is expressed as a power constraint, and (1e) describes the range of α. For problem p1, by introducing dummy variables p and q, the problem can be transformed into the following problem p2: (1b), (1c), (1d), (1e), (1f) (2e) The non-convexity of the problem is due to (2b), (2c), (1b), (1c). The following problem is solved by the SCA method; for problem (2b), by introducing the slack variable a k The following equivalent formula can be obtained: In order to solve (3b), the dummy variable b is introduced again k The following equivalent formula can be obtained: (4b) can be expressed as: Through the first-order Taylor expansion, (5a) can be transformed into a convex constraint: Therefore (2b) can be rewritten as For problem (2c), apply the first-order Taylor expansion to the left half of the inequality to transform it into a convex constraint: Similarly, (1b) can be transformed into the following formula: in For constraint (1c), introducing dummy variables m and q is equivalent to the following formula For (10b) and (10c), using the first-order Taylor expansion, we can obtain: So, we can get the final problem P3 (7), (8), (9), (10a), (11), (12), (1d)-(1f)(13b).

7. A RSMA-assisted communication perception integrated security precoding optimization system implementing the RSMA-assisted communication perception integrated security precoding optimization method according to any one of claims 1 to 6, characterized in that: The RSMA-assisted communication perception integrated security precoding optimization system includes: Building modules for constructing a communication-awareness integrated system model based on RSMA; Design module, used to design RSMA transmission scheme based on secure precoding; The solving module is used to solve the joint optimization problem to achieve secure communication transmission and efficient perception.

8. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the RSMA-assisted communication-aware integrated security precoding optimization method as described in any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the RSMA-assisted communication-aware integrated security precoding optimization method according to any one of claims 1 to 6.

10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the RSMA-assisted communication perception integrated security precoding optimization system as described in claim 7.

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