能效优先的智能反射面辅助无人机通信抗干扰鲁棒设计  

Robust Energy Efficient Design in IRS-assisted uav Communication under Malicious Jamming

作　　者：姬智 高玉芳 JI Zhi;GAO Yufang(Army Engineering University of PLA,Nanjing Jiangsu 210007,China;Nanjing University,Nanjing Jiangsu 210008,China)

机构地区：[1]中国人民解放军陆军工程大学,江苏南京210007 [2]南京大学,江苏南京210008

出　　处：《通信技术》2022年第12期1568-1575,共8页Communications Technology

基　　金：陆军工程大学基础前沿科技创新项目:下一代无线网络中基于智能反射面的频谱共享技术研究,国家自然科学基金(62171461)。

摘　　要：针对无人机能效受限、易受恶意干扰攻击问题,提出了一种用智能反射面辅助无人机通信抗干扰来提高无人机能效的方法。通过半正定规划、S-程序、分式规划和逐次凸逼近等技术,联合地面节点发射功率、智能反射面波束赋形和无人机轨迹优化,实现了智能反射面辅助无人机在干扰位置非精确的条件下的抗干扰。仿真结果表明,所提算法有较好的鲁棒性,部署智能反射面后无人机能效显著提升。To address the problem of limited energy efficiency of UAVs(unmanned aerial vehicle) and vulnerability to malicious jamming attacks, a method is proposed to improve energy efficiency of UAVs by using IRS(Intelligent Reflecting Surface)-assisted UAV communication anti-jamming. Through semi-positive definite planning, S-procedure, fractional planning and successive convex approximation techniques, combined with ground node transmit power, IRS beamforming and UAV trajectory optimization,the IRS-assisted UAV anti-jamming is achieved under the condition that the jammer’s location is not known. Simulation results indicate that the proposed algorithm has good robustness and the energy efficiency of the UAV is significantly improved by the deployment of the IRS.

关 键 词：无人机 轨迹优化 智能反射面 波束赋形 抗干扰 

分 类 号：TN918.91[电子电信—通信与信息系统]