Aerial intelligent reflecting surface for secure wireless networks:Secrecy capacity and optimal trajectory strategy

作     者：Hehao Niu Zheng Chu Zhengyu Zhu Fuhui Zhou 

作者机构：Institute of Electronic CountermeasureNational University of Defense TechnologyHefei 230037China. Institute for Communication SystemsUniversity of SurreyGuildfordGU27XHUK Shaanxi Key Laboratory of Information Communication Network and SecurityXi’an University of Posts&TelecommunicationsXi’an 710121China School of Information EngineeringZhengzhou UniversityZhengzhou 450001China College of Electronic and Information EngineeringNanjing University of Aeronautics and Astronauticsand also with the Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum SpaceNanjing University of Aeronautics and AstronauticsNanjing 210000China. 

出 版 物：《Intelligent and Converged Networks》 (智能与融合网络（英文）)

年 卷 期：2022年第3卷第1期

页      面：119-133页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：supported in part by the National Natural Science Foundation of China(Nos.61901490,61801434,62071223,and 62031012) the Open Fund of the Shaanxi Key Laboratory of Information Communication Network and Security(No.ICNS201801) the Project funded by China Postdoctoral Science Foundation(No.2020M682345) the Henan Postdoctoral Foundation(No.202001015) 

主　　题：aerial intelligent reflecting surface(AIRS) unmanned aerial vehicle(UAV) alternating optimization Riemannian manifold optimization(RMO) element-wise block coordinate descent(EBCD) 

摘      要：This work investigates the potential of the aerial intelligent reflecting surface(AIRS)in secure communication,where an intelligent reflecting surface(IRS)carried by an unmanned aerial vehicle(UAV)is utilized to help the communication between the ground ***,we formulate the joint design of the AIRS’s deployment and the phase shift to maximize the secrecy *** solve the non-convex objective,we develop an alternating optimization(AO)approach,where the phase shift optimization is solved by the Riemannian manifold optimization(RMO)method,while the deployment optimization is handled by the successive convex approximation(SCA)***,to reduce the computational complexity of the RMO method,an element-wise block coordinate descent(EBCD)based method is *** results verify the effect of AIRS in improving the communication security,as well as the importance of designing the deployment and phase shift properly.