基于IRS的无人机安全通信能耗优化  

Optimization of Energy Efficiency for IRS-aided Secure UAV Communication

作　　者：张正香 苏恭超[1] 代明军[1] 陈彬[1] 林晓辉[1] ZHANG Zhengxiang;SU Gongchao;DAI Mingjun;CHEN Bin;LIN Xiaohui(College of Electronics and Information Engineering,Shenzhen University,Shenzhen 518060,China)

机构地区：[1]深圳大学电子与信息工程学院,广东深圳518060

出　　处：《无线电通信技术》2023年第2期269-277,共9页Radio Communications Technology

基　　金：国家自然科学基金(62071304);广东省自然科学基金(2020A1515010381);深圳市科创委基础研究项目(JCYJ20220809155455002)。

摘　　要：为了提升系统有窃听者存在时的安全能耗效率,设计了一种基于智能反射面(Intelligent Reflecting Surface, IRS)的安全能耗优化算法。该算法以最大化系统安全能耗效率为目标求解无人机(Unmanned Aerial Vehicle, UAV)飞行轨迹、基站发射功率和IRS反射相位的联合优化问题。由于该联合优化问题是多变量耦合问题,将其解耦为单独优化无人机基站轨迹、IRS相位矩阵和基站发射功率的三个子问题,最后用连续凸逼近的方法进行求解。实验结果表明,对于反射单元数量为64的IRS,所提出的基于IRS的能耗优化算法相比传统安全速率优化算法能提升系统10%的安全能耗效率。而相比不使用IRS的优化算法,能提升系统300%的安全能耗效率,并且提升倍数还将随着IRS反射单元数量增加而增加。To improve the secure energy efficiency of system in the presence of eavesdroppers,this paper designs a secure energy efficiency optimization algorithm for Intelligent Reflecting Surface(IRS)aided UAV System.The algorithm aims at maximizing the secure energy efficiency of the system by solving the joint optimization problem of UAV trajectory,base station transmission power and IRS reflecting phases.Because the joint optimization problem is a coupled complex problem,we decouple it into three subproblems of optimizing UAV base station trajectory,IRS phase matrix and base station transmission power.Then it is solved by Successive Convex Approximation(SCA)method.For the IRS with 64 reflecting units,experimental results show that the proposed energy efficiency optimization algorithm can improve the secure energy efficiency of the system by 10%compared with benchmark algorithm.Compared with optimization algorithm without IRS,results also show that the proposed algorithm leads to a 300%increase in system secure energy efficiency and this enhancement can be improved with increasing number of IRS reflecting units.

关 键 词：无人机 智能反射面 安全通信 轨迹优化 能耗效率 

分 类 号：TN929.53[电子电信—通信与信息系统]