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作 者:王亚彬 梁彦[1] 李飞[1] WANG Yabin;LIANG Yan;LI Fei(School of Communications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
机构地区:[1]南京邮电大学通信与信息工程学院,江苏南京210003
出 处:《南京邮电大学学报(自然科学版)》2025年第1期68-78,共11页Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基 金:国家自然科学基金(62271265)资助项目。
摘 要:智能反射面(Intelligent Reflecting Surface,IRS)辅助的无人机(Unmanned Aerial Vehicle,UAV)通信系统结合了UAV的高移动性与IRS被动波束成形的能力,可以有效提升系统的通信性能。然而,UAV与地面用户所构成的广播信道易被窃听,导致UAV通信的安全面临巨大挑战。同时,UAV机载能量受限的问题也是限制UAV通信系统性能的潜在瓶颈。为了平衡UAV通信系统的安全通信速率和UAV能耗之间的关系,引入了UAV通信系统的安全通信能效理念,进而提出了IRS辅助的UAV系统安全通信能效优化方案。首先,建立了IRS辅助UAV通信系统的优化模型,通过联合优化UAV的飞行轨迹、速度以及IRS的相移,最大化系统的安全通信能效。然后,利用交替迭代优化的思想将优化问题解耦为3个独立的子问题。最后,基于丁克尔巴赫变换、连续凸近似和黎曼流形优化求解子问题,并通过迭代获得联合优化的结果。仿真结果表明,该方案可以有效地提高IRS辅助UAV通信系统的安全通信能效。Intelligent reflecting surface(IRS)-assisted unmanned aerial vehicle(UAV)communication systems,which combine the high mobility of UAVs with the passive beamforming capability of IRS,could effectively mitigate the influence of the obstacles in wireless channels and thus enhance the commu⁃nication performance.However,the broadcast channel constituted by UAVs and terrestrial users is sus⁃ceptible to eavesdropping,resulting in significant challenges to the security of UAV communications.Meanwhile,the problem of UAV on-board energy constraints is also a potential bottleneck limiting the performance of UAV communication systems.In order to strike the balance between the secure communi⁃cation rate of the UAV communication system and the energy consumption of the UAV,the concept of se⁃cure communication energy efficiency of the UAV communication system is introduced,and then an opti⁃mization scheme of the secure communication energy efficiency is proposed for the IRS-assisted UAV sys⁃tem.First,an optimization model for IRS-assisted UAV communication systems is established to maximize the secure communication energy efficiency of the system by jointly optimizing the trajectory and speed of the UAV as well as the phase shift of the IRS.Second,the optimization problem is decoupled into three independent sub-problems using the idea of alternating iterative optimization.Finally,the sub⁃problems are solved based on the Dinkelbach’s transform,the successive convex approximation and the Riemannian manifold optimization,and the optimal solution is obtained through iteration of optimization.The simulation results show that the scheme has a significant improvement in the secure communication energy efficiency for the IRS-assisted UAV system.
分 类 号:TN928[电子电信—通信与信息系统]
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