Secrecy Efficiency Maximization in Intelligent Reflective Surfaces Assisted UAV Communications  

作　　者：Hui Wei Leibing Yan 

机构地区：[1]School of Electronic Information Engineering,Henan Institute of Technology,Xinxiang,453003,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第11期1805-1824,共20页工程与科学中的计算机建模（英文）

基　　金：supported in part by the Key Scientific and Technological Project of Henan Province(Grant Nos.212102210558,222102210212);Doctoral Research Start Project of Henan Institute of Technology(Grant No.KQ1852).

摘　　要：This paper focuses on the secrecy efficiency maximization in intelligent reflecting surface(IRS)assisted unmanned aerial vehicle(UAV)communication.With the popularization of UAV technology,more and more communication scenarios need UAV support.We consider using IRS to improve the secrecy efficiency.Specifically,IRS and UAV trajectories work together to counter potential eavesdroppers,while balancing the secrecy rate and energy consumption.The original problem is difficult to solve due to the coupling of optimization variables.We first introduce secrecy efficiency as an auxiliary variable and propose relaxation optimization problem,and then prove the equivalence between relaxation problem and the original problem.Then an iterative algorithm is proposed by applying the block coordinate descent(BCD)method and the inner approximationmethod.The simulation results show that the proposed algorithm converges fast and is superior to the existing schemes.In addition,in order to improve the robustness of the algorithm,we also pay attention to the case of obtaining imperfect channel state information(CSI).

关 键 词：SECRECY unmanned aerial vehicle(UAV) intelligent reflecting surface(IRS) trajectory 

分 类 号：V27[航空宇航科学与技术—飞行器设计]