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动态对抗环境下空天地网络上行安全传输OA

Uplink secure transmission in space-air-ground network under dynamic adversarial environments

中文摘要英文摘要

无线通信网络的安全与隐私保护是6G空天地一体化发展进程中的关键挑战.为应对立体覆盖、多域协同等复杂场景下所面临的多元隐私威胁,提出了一种面向动态对抗环境的空天地网络上行安全传输方案.系统模型包含4类核心节点:卫星、合法中继无人机(R-UAV)、Eavesdropping-UAV与地面用户.卫星仅接收来自R-UAV的中继信号,以模拟潜在的恶劣信道条件与协同通信应用需求;E-UAV在通信空域内巡航,并伺机截获用户上行信息.针对该场景,基于公平性准则构建系统安全传输速率最大化问题,并提出了一种联合块坐标下降法(BCD)、半正定松弛(SDR)、序贯凸近似(SCA)与双深度Q网络(DDQN)的协同优化算法,对UAV飞行轨迹、资源分配策略与波束成形参数进行协同设计,以平衡系统安全与通信性能.仿真结果表明,所提方案在动态对抗环境中具有良好的灵活性与安全传输优势,并揭示了R-UAV承载资源、硬件配置与系统性能之间的内在关系.

The security and privacy protection of wireless communication networks constitutes a critical challenge in the evolution toward 6G space-air-ground network.To address diverse privacy threats in complex scenarios character-ized by three-dimensional coverage and multi-domain collaboration,an uplink secure transmission scheme for space-air-ground network under dynamic adversarial environments is proposed.The system model encompasses four core nodes:a satellite,a legitimate Relay Unmanned Aerial Vehicle(R-UAV),a malicious Eavesdropping UAV(E-UAV)and terrestrial users.The satellite is configured to receive relay signals solely from the R-UAV,simulating potential harsh channel conditions and the application requirements of cooperative communications.The E-UAV cruises within the communication airspace to opportunistically intercept the users'uplink information.For this scenario,a maximiza-tion problem of system secrecy transmission rate based on a fairness criterion is formulated.A cooperative optimiza-tion algorithm integrating Block Coordinate Descent(BCD),Semi-definite Relaxation(SDR),Successive Convex Ap-proximation(SCA)and a Dual Deep Q-network(DDQN)is also proposed.This algorithm collaboratively designs the UAV's flight trajectory,resource allocation strategy and beamforming parameters,to balance security and communica-tion performance.Simulation results demonstrate that the the proposed scheme offers superior flexibility and secure transmission advantages in dynamic adversarial environments,and elucidates the intrinsic correlations among the R-UAV's onboard resources,hardware configurations and system performance.

张云阳;王礴航;丁国如

航天工程大学 航天信息学院,北京 101416航天工程大学 航天信息学院,北京 101416陆军工程大学 通信工程学院,南京 210007

航空航天

空天地网络上行安全传输动态对抗环境无人机轨迹波束成形资源分配

space-air-ground networksuplink secure transmissiondynamic adversarial environmentsUAV trajectorybeamformingresource allocation

《航空学报》 2026 (18)

110-122,13

国家自然科学基金(62301607,62425118,62231027) National Natural Science Foundation of China(62301607,62425118,62231027)

10.7527/S1000-6893.2026.33199

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