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作 者:耿存奕 谢威 夏晓晨 魏琛 许魁 GENG Cunyi;XIE Wei;XIA Xiaochen;WEI Chen;XU Kui(Army Engineering University of PLA,Nanjing 210007,China)
机构地区:[1]陆军工程大学,江苏南京210007
出 处:《移动通信》2025年第4期34-41,共8页Mobile Communications
基 金:国家自然科学基金“面向低空空域的无定形大规模MIMO一体化感知与通信方法研究”(62271503);江苏省基础研究计划“天地融合卫星移动通信组网理论与技术”(BK20192002);江苏省自然科学基金“基于无定形网络的低空空域融合感知与通信方法研究”(BK20231485)。
摘 要:针对无线通信场景中,易受地面恶意干扰攻击的问题,研究了一种基于空中智能反射面(AIRS,Aerial Intelligent Reflecting Surface)赋能的通信抗干扰传输方法,其中AIRS技术有效克服复杂通信场景中基站与用户之间易受障碍物阻挡的问题,通过动态地增强用户信号以及削弱恶意干扰信号来提高通信性能。所提方法通过联合优化基站的发射功率、AIRS的相移矩阵以及AIRS位置部署,实现系统和速率最大化。由于构建的优化问题中存在多变量耦合现象以及非凸性导致的难以直接求解,因此,提出了一种基于交替优化(AO,Alternating Optimization)的算法框架,该算法框架利用连续凸近似(SCA,Successive Convex Approximation)和半定松弛(SDR,Semidefinite Relaxation)技术来求解子问题的次优解。仿真结果表明,优化方案可以显著提高系统抗干扰通信的性能,保障通信数据传输的可靠性。To address the issue of susceptibility to ground-based malicious jamming attacks in wireless communication scenarios,this paper investigates a communication anti-jamming transmission method empowered by aerial intelligent reflecting surface(AIRS)technology.AIRS effectively overcomes the problem of signal blockage between base stations and users due to obstacles in complex communication scenarios by dynamically enhancing user signals and suppressing malicious interference signals to improve communication performance.The proposed method achieves the maximum system sumrate through jointly optimizing the base station transmit power,the deployment of AIRS positions,and the AIRS phase shift matrix.Due to the multi-variable coupling and non-convexity,it is difficult to directly solve the formulated optimization problem.Therefore,this paper proposes an alternating optimization-based algorithm framework,where the successive convex approximation and semidefinite relaxation techniques are used to find the suboptimal solutions for sub-problems.Simulation results show that the optimized scheme can significantly improve the system's anti-jamming communication performance and ensure the reliability of communication data transmission.
分 类 号:TN929.5[电子电信—通信与信息系统]
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