Multi-service wireless communication endogenous security method and system based on quantization isolation potential energy, and medium

Abstract

The invention belongs to the technical field of wireless communication networks, and particularly relates to a multi-service wireless communication endogenous security method and system based on quantization isolation potential energy and a medium, and the method comprises the steps: building a quantization isolation demand model of a communication service, and enabling the model to convert the security demand of the service into an isolation potential energy value Ereq based on an information theory security criterion; the method comprises the following steps: constructing a space-time-frequency three-dimensional isolation map of wireless channel resources, and calculating inherent isolation potential energy Eres of each resource unit; based on the isolation potential energy value Ereq and the inherent isolation potential energy Eres, constructing a multi-objective optimization matching function of services and resources; solving the matching function by adopting an improved quantum genetic algorithm to obtain an optimal service-resource three-dimensional allocation scheme; when data transmission is executed, quantum randomness is introduced to perform physical layer security enhancement, transmission security is ensured on an information theory level, and normal form transformation of security isolation from static passive to dynamic active can be realized.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication network technology, specifically relating to a method based on quantum isolation potential energy. Intrinsic security methods, systems, and media for multi-service wireless communication, applicable to multi-service security isolation and protection in next-generation wireless communication networks such as 5G-Advanced and 6G. Background Technology

[0002] With the rapid development of vertical industry applications such as the Industrial Internet, smart grids, and vehicle-to-everything (V2X) networks, wireless communication networks need to simultaneously carry data streams with multiple security levels and service characteristics. Traditional multi-service isolation technologies mainly have the following limitations: 1. Static isolation mechanisms are insufficient to adapt to dynamic business and threat environments: Existing methods such as fixed spectrum allocation and static spatial flow allocation lack the ability to dynamically respond to business security requirements and cannot adapt to complex and ever-changing network environments.

[0003] 2. Single isolation dimension: Traditional technologies are mostly limited to single-dimensional isolation in the frequency or spatial domains, lacking a three-dimensional isolation architecture that coordinates multiple dimensions of time, space, and frequency, resulting in an inherent contradiction between isolation strength and resource efficiency.

[0004] 3. Passive defense mode: Feature-based external security protection is difficult to deal with unknown threats and lacks the network's inherent "immunity". The security mechanism and communication function are designed separately.

[0005] 4. Lack of security quantification: Existing technologies lack precise mathematical descriptions and quantitative assessments of security isolation strength, making it difficult to achieve a precise match between security needs and resource capabilities.

[0006] The invention patent with publication number CN108111275A discloses a service isolation method based on spectrum division, but it only uses a fixed protection bandwidth and lacks dynamic adaptability.

[0007] The invention patent with publication number US20210058121A1 proposes a spatial flow isolation technology in MIMO systems, but does not consider the temporal isolation dimension, and the security mechanism is relatively simple.

[0008] The invention patent with publication number WO2021155536A1 involves the application of quantum key distribution in wireless communication, but it is not deeply integrated with the multi-service isolation mechanism. Summary of the Invention

[0009] The purpose of this invention is to provide an intrinsic security system and method for multi-service wireless communication based on quantum isolation potential energy and spatiotemporal frequency three-dimensional spectra, addressing the problems existing in the prior art, and realizing a paradigm shift in security isolation from "static passive" to "dynamic active".

[0010] The technical solution of this invention is: An intrinsic security method for multi-service wireless communication based on quantum isolation potential energy includes: A quantum isolation requirement model for communication services is established, which quantizes the security requirements of services into an isolation potential value E_req based on information theory security principles. Construct a three-dimensional spatiotemporal-frequency isolation map of wireless channel resources and calculate the inherent isolation potential energy E_res of each resource unit; Based on the isolation potential energy value E_req and the inherent isolation potential energy E_res, a multi-objective optimization matching function for services and resources is constructed. An improved quantum genetic algorithm is used to solve the matching function to obtain the optimal business-resource three-dimensional allocation scheme; When performing data transmission, quantum randomness is introduced to enhance physical layer security, ensuring transmission security at the information theory level.

[0011] Specifically, the construction of the spatiotemporal frequency three-dimensional isolation map includes: In the frequency domain, frequency isolation is calculated based on the guard bandwidth; In the spatial dimension, spatial isolation is calculated based on the antenna array geometry and channel correlation. In the time domain, time isolation is calculated based on the transmission time interval and scheduling period; The three dimensions of isolation are fused into a comprehensive isolation potential energy through a nonlinear mapping.

[0012] Specifically, the construction of the spatiotemporal frequency three-dimensional isolation map includes: In the frequency domain, frequency isolation is calculated based on the guard bandwidth; In the spatial dimension, spatial isolation is calculated based on the antenna array geometry and channel correlation. In the time domain, time isolation is calculated based on the transmission time interval and scheduling period; The three dimensions of isolation are fused into a comprehensive isolation potential energy through nonlinear mapping.

[0013] Specifically, the quantum physical layer security enhancements include: using a quantum random number generator to drive spectrum jump modes; establishing an end-to-end encrypted channel based on quantum key distribution; and detecting abnormal channel state disturbances through quantum measurement.

[0014] Specifically, it also includes a federal endogenous security protection mechanism, which includes the following steps: Deploy local security detection models at multiple network edge nodes; By aggregating the security detection knowledge of each node through federated learning, a global threat identification capability is formed. The parameters in the quantum isolation requirement model are dynamically adjusted based on the threat identification results.

[0015] Specifically, the federal endogenous security protection mechanism also includes: Construct an active defense strategy based on deep reinforcement learning; Distributed security situation awareness is achieved through multi-agent collaboration; Establish a negative feedback control loop for safety decision-making.

[0016] The present invention also provides a system for implementing the method described above, comprising: A quantum-based isolation potential energy calculation module is used to quantize business security requirements and resource isolation capabilities; A spatiotemporal frequency 3D map construction module is used to model the multidimensional isolation characteristics of wireless channel resources; A multi-objective optimization matching engine is used to find the optimal match between business and resources; Quantum security enhancement module, used to provide physical layer security protection; The Federal Security Learning Network is used to implement distributed, intrinsic security protection.

[0017] Specifically, the quantum security enhancement module includes: a quantum random number generation unit; a quantum key distribution interface; a quantum channel monitoring unit; and a dynamic spectrum jump controller.

[0018] Specifically, the federal security learning network adopts a layered architecture including: Edge layer: Deploy lightweight anomaly detection models on each network node; Aggregation layer: Initial model aggregation is performed at the central node of the region; Core layer: Global model optimization and strategy generation are completed in the cloud control center.

[0019] In addition, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described above.

[0020] Sub-physical layer security enhancements achieve triple protection of physical layer security: 1. Dynamic spectrum transitions: unpredictable transition sequences based on QRNG; 2. Quantum key distribution: quantum key updates synchronized with business data; 3. Quantum channel monitoring: channel disturbance detection based on Bell state measurements.

[0021] Compared with existing technologies, the multi-service wireless communication intrinsic security system and method proposed in this invention, based on quantum isolation potential energy and spatiotemporal frequency three-dimensional spectra, realizes a paradigm shift from "passive containment" to "active immunity," bringing the following breakthrough and quantifiable technical effects: 1. A leapfrog improvement in resource utilization efficiency: from "static reservation" to "dynamic and precise matching" By accurately measuring security requirements through a quantum isolation potential energy model and utilizing a three-dimensional spectrum to achieve multi-dimensional collaborative allocation of resources, the problem of resource waste caused by traditional fixed protection bands is solved. Under the premise of ensuring the same or even higher isolation strength, the system spectrum resource utilization rate is improved by more than 40% (compared with traditional static spectrum allocation), and the overall air interface throughput is improved by 25%-35%.

[0022] 2. A fundamental enhancement of security isolation strength: from "single-dimensional weakness" to "multi-dimensional synergistic immunity" By utilizing a three-dimensional spatiotemporal isolation map, the isolation mechanism is extended from a single frequency or spatial domain to a coordinated spatiotemporal-frequency three-dimensional defense, eliminating security risks caused by single-dimensional failures. Isolation redundancy: Through multi-domain isolation gain superposition, the equivalent isolation (signal-to-interference-plus-noise ratio) is improved by 15-25dB. Anti-interference capability: In scenarios with deliberate narrowband interference or spatially selective fading, the transmission bit error rate (BER) of critical services is reduced by 1-2 orders of magnitude. Intrinsic security effect: The dynamic heterogeneous redundancy mechanism based on the DHR architecture enables the system to inherently "tolerate" and "cleanse" unknown vulnerabilities and backdoor attacks, reducing the success rate of specific attacks from a theoretical 100% to a controllable, extremely low level.

[0023] 3. A qualitative leap in security response and self-governance capabilities: from "passive and lagging" to "proactive and forward-looking". The federated intrinsic security architecture enables distributed threat awareness and collaborative evolution, giving the network the capabilities of "collective immunity" and "autonomous learning." Threat detection and response speed: Detection time for novel and unknown attacks is reduced from minutes in traditional solutions to milliseconds. Decision-making intelligence: Through continuous optimization of resource matching strategies via federated learning, the system achieves an automated decision-making accuracy rate exceeding 95% under complex electromagnetic environments and variable workloads, significantly reducing human intervention.

[0024] 4. Theoretical Elevation of Safety Baselines: From "Empirical Engineering" to "Provable Safety" The introduction of an information theory-based isolation potential energy model provides a rigorous mathematical foundation and quantitative evaluation standard for secure isolation. Design precision: It changes the traditional experience-based, coarse configuration model, achieving a precise quantitative match between security requirements and resource capabilities, avoiding "over-protection" or "under-protection." Security levels: Through quantum physics-layer security enhancement, it provides the highest-security-level services with a physically-based, information-theoretic-indestructible secure transmission channel, resisting future threats to traditional cryptography from quantum computing.

[0025] 5. Comprehensive improvement in system compatibility and evolution. The core of this solution lies in software-defined algorithms and architectural innovation, eliminating the need to replace existing hardware infrastructure. Core functions can be implemented on mainstream commercial 5G equipment through software upgrades, protecting existing investments and reducing upgrade costs by over 70% compared to hardware replacement solutions. It is fully compatible with network slicing and flexible spectrum usage features defined in 3GPP R17 and subsequent standards, serving as an enhancement component for security capabilities and facilitating a smooth evolution to 6G networks. Attached Figure Description

[0026] Figure 1 Flowchart for quantized isolation potential energy calculation; Figure 2 : Schematic diagram of the overall system architecture of this invention. Detailed Implementation

[0027] The technical solution of the present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0028] Example 1 This embodiment provides an intrinsic security method for multi-service wireless communication based on quantum isolation potential energy, such as... Figure 1 As shown, the specific operation steps are as follows: A quantum isolation requirement model for communication services is established, which quantizes the security requirements of services into an isolation potential value E_req based on information theory security principles. Construct a three-dimensional spatiotemporal-frequency isolation map of wireless channel resources and calculate the inherent isolation potential energy E_res of each resource unit; Based on the isolation potential energy value E_req and the inherent isolation potential energy E_res, a multi-objective optimization matching function for services and resources is constructed. An improved quantum genetic algorithm is used to solve the matching function to obtain the optimal business-resource three-dimensional allocation scheme; When performing data transmission, quantum randomness is introduced to enhance physical layer security, ensuring transmission security at the information theory level.

[0029] The construction of the spatiotemporal frequency three-dimensional isolation map in this embodiment includes: In the frequency domain, frequency isolation is calculated based on the guard bandwidth; In the spatial dimension, spatial isolation is calculated based on the antenna array geometry and channel correlation. In the time domain, time isolation is calculated based on the transmission time interval and scheduling period; The three dimensions of isolation are fused into a comprehensive isolation potential energy through nonlinear mapping.

[0030] Furthermore, in the frequency domain, the frequency domain isolation is calculated based on the relative relationship between the guard bandwidth and the carrier frequency, using the following quantization model: Frequency domain isolation formula: in: : Protection bandwidth (Hz) between adjacent resource blocks; : Carrier center frequency (Hz); Frequency domain isolation coefficient, with a value of 2.5-4.0, adjusted according to the business criticality.

[0031] Within an 80MHz system bandwidth, the spectrum resources are divided into 256 subcarrier groups. For any two resource blocks RU i and RU j The absolute value of the center frequency difference is calculated as the effective protection bandwidth. The frequency domain isolation matrix is ​​calculated using the above formula. This matrix is ​​a symmetric matrix, representing the isolation capability between any two resource blocks in the frequency domain.

[0032] In the spatial domain, spatial isolation, based on the antenna array geometry and channel propagation characteristics, is quantified using the following method: Spatial Isolation Model: in: , : These represent the channel matrices of the i-th and j-th spatial flows, respectively; Denotes the Frobenius norm of a matrix; This represents the conjugate transpose of a matrix.

[0033] In an 8×8 MIMO system, the correlation between spatial streams is estimated using real-time channel state information. First, the cross-correlation matrix of the channel matrix is ​​calculated, and then the spatial isolation is quantified using the formula described above. For configurations where the antenna spacing is greater than half a wavelength, an additional spatial diversity gain factor is introduced. This further improves the accuracy of isolation calculation.

[0034] In the time domain, time-domain isolation is based on the relative relationship between transmission time intervals and scheduling periods, and the following calculation model is established: Time-domain isolation formula: in: This indicates the time interval (ms) between two service transmission slots. System scheduling cycle (ms); Temporal isolation weight factor, with a value of 0.8-1.2.

[0035] A time slot allocation diagram is established using 1ms as the basic scheduling unit. For any two service transmission time slots, the absolute difference Δt between their start times is calculated. When the time slot interval is close to the entire scheduling cycle, the time domain isolation approaches its maximum value; when the time slots completely overlap or are closely adjacent, the isolation approaches its minimum value.

[0036] The three dimensions of isolation are fused into a comprehensive isolation potential energy through a nonlinear mapping: Fusion model: in: , , : These are the weighting coefficients for isolation in the frequency domain, spatial domain, and time domain, respectively, and the sum of these three values ​​must be 1. Nonlinear fusion parameter, ranging from 1.5 to 2.5, controls the complementary relationship of isolation in each dimension. Weight adaptive mechanism: dynamically adjusts weight coefficients based on business type. For services with high real-time requirements: Increase the weight of w_t (up to 0.5). For services with high security requirements: Increase the weights of w_f and w_s (each up to 0.4). For regular business operations: a balanced weighting configuration (approximately 0.33 for each) is adopted. By constructing this refined 3D isolation map, the system can accurately quantify the comprehensive isolation capability between any two resource units, providing accurate input data for subsequent intelligent resource matching. In actual testing, the method's isolation prediction accuracy reached over 95%, significantly outperforming traditional single-dimensional isolation assessment methods.

[0037] The quantum physical layer security enhancements include: using a quantum random number generator to drive spectrum jump modes; establishing an end-to-end encrypted channel based on quantum key distribution; and detecting abnormal channel state disturbances through quantum measurement.

[0038] Specifically, it also includes a federal endogenous security protection mechanism, which includes the following steps: Deploy local security detection models at multiple network edge nodes; By aggregating the security detection knowledge of each node through federated learning, a global threat identification capability is formed; the parameters in the quantum isolation requirement model are dynamically adjusted based on the threat identification results.

[0039] Specifically, the federal endogenous security protection mechanism also includes: Construct an active defense strategy based on deep reinforcement learning; Distributed security situation awareness is achieved through multi-agent collaboration; Establish a negative feedback control loop for safety decision-making.

[0040] The Federal Security Learning Network employs secure multi-party computation technology for global model aggregation. The global model update cycle is 4-8 hours, dynamically adjusted according to threat level. It features model version control and supports A / B testing and canary releases.

[0041] By forming a defense-in-depth system through the quantum security enhancement module and the federated security learning network, a security capability is continuously evolved while ensuring communication security, providing a solid security guarantee for key business scenarios such as smart substations and industrial internet.

[0042] Example 2 This embodiment provides a system for implementing the method described in Embodiment 1, such as... Figure 2 As shown, it includes: A quantum-based isolation potential energy calculation module is used to quantize business security requirements and resource isolation capabilities; A spatiotemporal frequency 3D map construction module is used to model the multidimensional isolation characteristics of wireless channel resources; A multi-objective optimization matching engine is used to find the optimal match between business and resources; Quantum security enhancement module, used to provide physical layer security protection; A federal security learning network is used to implement distributed intrinsic security protection. The federal security learning network adopts a layered architecture: Edge layer: Deploy lightweight anomaly detection models on each network node; Aggregation layer: Initial model aggregation is performed at the central node of the region; Core layer: Global model optimization and strategy generation are completed in the cloud control center.

[0043] The quantum security enhancement module includes: a quantum random number generation unit; a quantum key distribution interface; a quantum channel monitoring unit; and a dynamic spectrum jump controller.

[0044] In this embodiment, the quantum random number generation unit employs a true random number generator based on laser phase noise as its physical entropy source. The entropy source output rate reaches 400 Mbps, with an entropy value >0.999. Real-time entropy quality monitoring includes autocorrelation testing, run-length testing, and frequency testing. Post-processing and amplification utilize a Toeplitz hash extractor for randomness enhancement. The output random numbers are verified using the NIST SP 800-90B standard test suite, supporting multi-channel parallel output to meet the security requirements of different services. The application interface uses an API interface, supporting cryptographically secure random number generation and integrating with core security modules such as key generation and spectral transition sequence generation.

[0045] The quantum key distribution interface seamlessly integrates with classic encryption systems, supports encryption algorithms such as AES-256 and SM4, provides an automated key update mechanism with an update cycle configurable from 1 second to 1 hour, and offers key usage audit trails to fully record the key generation, distribution, and usage process.

[0046] The quantum channel monitoring unit monitors the quantum bit error rate (QBER) in real time, with an anomaly threshold set at 12%. It also monitors photon count to detect photon number separation attacks and performs time-series analysis to identify replay attacks and time-shift attacks.

[0047] The frequency hopping controller is based on a quantum random number generator that produces unpredictable frequency hopping sequences. The frequency hopping pattern space is greater than 10^20, which has strong anti-analysis capabilities and supports adaptive frequency hopping, dynamically adjusting the frequency hopping strategy according to the interference situation.

[0048] Example 3 This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in Embodiment 1.

[0049] Example 4 This embodiment uses the security isolation of critical business operations in a smart substation as an example to illustrate the method provided in Embodiment 1 and the system provided in Embodiment 2.

[0050] 1. System Deployment Architecture: The system provided in Example 2 is deployed in the local converged communication network of the smart substation. The system adopts a layered architecture: Edge layer: Deploy 5G / WiFi 6 access points with MIMO and OFDMA capabilities at the substation site, integrating a quantum random number generation chip. Aggregation Layer: Deploy edge computing nodes in the substation control center to run quantum-isolated potential energy calculations and federated learning models. Core layer: Deploy a global optimization engine and policy management platform in the power grid cloud data center. 2. Quantification of Business Security Requirements Based on the business characteristics of smart substations, a three-level security isolation standard is established: Level 1 services (protection and control): Isolation potential requirement ≥8.5, including relay protection, safety automatic devices, etc. Level 2 business (real-time monitoring): Isolation capability requirement 5.0-8.0, including SCADA, PMU data, etc. Level 3 business (management information): Isolation potential energy requirement ≤ 4.5, including video inspection, equipment status monitoring, etc. 3. Three-dimensional isolated resource modeling Constructing a spatiotemporal frequency three-dimensional resource map: Frequency domain dimension: The 80MHz system bandwidth is divided into 256 subcarrier groups, and the spectral distance isolation between each resource block is calculated. Spatial domain dimension: Based on an 8×8 MIMO antenna array, spatial flow isolation is calculated through channel cross-correlation analysis. Time domain dimension: With a scheduling period of 1ms, the time isolation degree is calculated through time slot intervals. 4. Dynamic resource matching execution An improved quantum genetic algorithm is used to achieve optimal matching: the initial population size is 50, and the number of iterations is 1000 generations; the fitness function comprehensively considers the isolation potential matching degree, resource utilization rate and transmission efficiency; and intelligent evolution of the solution is achieved through quantum rotating gate operation to avoid local optima.

[0051] 5. Intrinsic security protection mechanism Constructing a distributed security protection system: Deploying heterogeneous protocol executors (based on different encoding schemes and modulation methods) at three edge nodes; establishing a millisecond-level multi-mode adjudication mechanism to perform real-time consistency verification of transmission results; and dynamically adjusting resource allocation strategies through a negative feedback controller to respond to sudden security threats. 6. Quantum security enhancements are implemented, providing physical layer security enhancements for Tier 1 services: Frequency hopping sequences on the order of 10^6 are generated based on quantum true random numbers; quantum key distribution is achieved using the decoy state BB84 protocol with a key update rate of 1kbps; changes in channel quantum properties are monitored using quantum state tomography to detect eavesdropping behavior.

[0052] Example 5: This example illustrates the method and system provided by the present invention using the example of multi-service security bearing in the industrial internet.

[0053] 1. Scenario Feature Analysis: Industrial Internet scenarios have the following characteristics: Business diversity: control commands, sensor data, video surveillance, and software updates coexist. Environmental complexity: The environment presents harsh propagation conditions such as strong electromagnetic interference and multipath fading. Security threats: Facing multiple risks including data theft, signal interference, and identity spoofing. 2. System Parameter Configuration Optimize system parameters according to the needs of industrial scenarios: Isolation potential energy range: 2.0-9.0 (10-level quantization standard) Resource allocation granularity: 50kHz in frequency domain, 4 streams in spatial domain, and 0.5ms in time domain. Security update cycle: Federated learning aggregation cycle is 5 minutes, quantum key update is 1 second. 3. Multi-objective optimization strategy Establish an optimization goal that balances safety and efficiency: Primary objective: To meet the isolation requirements of all levels of business operations. Secondary objective: Maximize the overall system spectral efficiency Constraints: Guarantee real-time service transmission latency <10ms 4. Federated Learning Security Model Constructing a three-layer federated learning architecture: Terminal layer: Each industrial gateway trains anomaly detection models based on local traffic data. Edge layer: Regional servers aggregate model parameters to generate regional security posture. Cloud Platform: Global Model Optimization and Security Policy Distribution 5. Performance Verification Results Actual testing has verified that this solution performs excellently in industrial scenarios: Isolation performance: Interference suppression ratio between services improved by >20dB; Resource efficiency: Spectrum utilization increased from 65% to 89%; Security capabilities: Unknown threat detection rate reaches 98.5%, response time <10ms; Reliability: Success rate of critical service transmission >99.999%. This embodiment achieves the following technological breakthroughs through the deep integration of a quantum isolation potential energy model, a three-dimensional resource map, federated intrinsic security, and quantum physics layer enhancement: 1. From empirical security to quantitative security: Establishing accurate mathematical modeling and optimization theories; 2. From single-dimensional isolation to three-dimensional protection: building a spatiotemporal frequency-coordinated defense system; 3. From passive defense to active immunity: Achieving active protection based on the principle of intrinsic security; 4. From computational security to information-theoretical security: providing absolute security guarantees based on the laws of physics.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them; although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications can still be made to the specific implementation of the present invention or equivalent substitutions can be made to some technical features without departing from the spirit of the technical solutions of the present invention, and all such modifications and substitutions should be covered within the scope of the technical solutions claimed in the present invention.

Claims

1. An intrinsic security method for multi-service wireless communication based on quantum isolation potential energy, characterized in that, include: A quantum isolation requirement model for communication services is established, which quantizes the security requirements of services into an isolation potential value E_req based on information theory security principles. Construct a three-dimensional spatiotemporal-frequency isolation map of wireless channel resources and calculate the inherent isolation potential energy E_res of each resource unit; Based on the isolation potential energy value E_req and the inherent isolation potential energy E_res, a multi-objective optimization matching function for services and resources is constructed. An improved quantum genetic algorithm is used to solve the matching function to obtain the optimal business-resource three-dimensional allocation scheme; Quantum randomness is introduced to enhance physical layer security during data transmission.

2. The intrinsic security method for multi-service wireless communication according to claim 1, characterized in that, The establishment of the quantum isolation requirement model includes: Determine the basic isolation potential requirements based on the business type; The potential energy weighting coefficient is dynamically adjusted based on the real-time security situation of the business. An assessment of environmental noise and potential threats is incorporated to adaptively adjust the isolation potential.

3. The intrinsic security method for multi-service wireless communication according to claim 1, characterized in that, The construction of the spatiotemporal frequency three-dimensional isolation map includes: In the frequency domain, frequency isolation is calculated based on the guard bandwidth; In the spatial dimension, spatial isolation is calculated based on the antenna array geometry and channel correlation. In the time domain, time isolation is calculated based on the transmission time interval and scheduling period; The three dimensions of isolation are fused into a comprehensive isolation potential energy through nonlinear mapping.

4. The intrinsic security method for multi-service wireless communication according to claim 1, characterized in that, The quantum physics layer security enhancements include: Using a quantum random number generator to drive spectral jump modes; Establishing an end-to-end encrypted channel based on quantum key distribution; Abnormal disturbances in the channel state are detected using quantum measurements.

5. The intrinsic security method for multi-service wireless communication according to claim 1, characterized in that, It also includes a federal endogenous security protection mechanism, which includes the following steps: Deploy local security detection models at multiple network edge nodes; By aggregating the security detection knowledge of each node through federated learning, a global threat identification capability is formed. The parameters in the quantum isolation requirement model are dynamically adjusted based on the threat identification results.

6. The intrinsic security method for multi-service wireless communication according to claim 5, characterized in that, The federal endogenous security mechanism also includes: Construct an active defense strategy based on deep reinforcement learning; Distributed security situation awareness is achieved through multi-agent collaboration; Establish a negative feedback control loop for safety decision-making.

7. A system for implementing the method as described in any one of claims 1-6, characterized in that, include: A quantum-based isolation potential energy calculation module is used to quantize business security requirements and resource isolation capabilities; A spatiotemporal frequency 3D map construction module is used to model the multidimensional isolation characteristics of wireless channel resources; A multi-objective optimization matching engine is used to find the optimal match between business and resources; Quantum security enhancement module, used to provide physical layer security protection; The Federal Security Learning Network is used to implement distributed, intrinsic security protection.

8. The system as described in claim 7, characterized in that, The quantum security enhancement module includes: Quantum random number generation unit; quantum key distribution interface; quantum channel monitoring unit; dynamic spectrum jump controller.

9. The system as described in claim 7, characterized in that, The federal security learning network adopts a layered architecture: Edge layer: Deploy lightweight anomaly detection models on each network node; Aggregation layer: Initial model aggregation is performed at the central node of the region; Core layer: Global model optimization and strategy generation are completed in the cloud control center.

10. A computer-readable storage medium storing a computer program that, when executed by a processor, implements the method as described in any one of claims 1-6.

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