Robust Secure UAV Communications With the Aid of Reconfigurable Intelligent Surfaces

被引:156
作者
Li, Sixian [1 ]
Duo, Bin [2 ,3 ]
Renzo, Marco Di [4 ]
Tao, Meixia [5 ]
Yuan, Xiaojun [1 ]
机构
[1] Univ Elect Sci & Technol China, Ctr Intelligent Networking & Communicat, Natl Lab Sci & Technol Communicat, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr Intelligent Networking & Communicat, Lab Sci & Technol Communicat, Chengdu 611731, Peoples R China
[3] Chengdu Univ Technol, Coll Informat Sci & Technol, Chengdu 610059, Peoples R China
[4] Univ Paris Saclay, CNRS, Cent Supelec, F-91192 Gif Sur Yvette, France
[5] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
基金
欧盟地平线“2020”; 中国国家自然科学基金;
关键词
UAV secure communication; reconfigurable intelligent surface; robust trajectory design; robust passive beamforming; robust power control; BEAMFORMING DESIGN; CHANNEL ESTIMATION; INFORMATION; PERFORMANCE; ALLOCATION; SECRECY;
D O I
10.1109/TWC.2021.3073746
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates a novel unmanned aerial vehicles (UAVs) secure communication system with the assistance of reconfigurable intelligent surfaces (RISs), where a UAV and a ground user communicate with each other, while an eavesdropper tends to wiretap their information. Due to the limited capacity of UAVs, an RIS is applied to further improve the quality of the secure communication. The time division multiple access (TDMA) protocol is applied for the communications between the UAV and the ground user, namely, the downlink (DL) and the uplink (UL) communications. In particular, the channel state information (CSI) of the eavesdropping channels is assumed to be imperfect. We aim to maximize the average worst-case secrecy rate by the robust joint design of the UAV's trajectory, RIS's passive beamforming, and transmit power of the legitimate transmitters. However, it is challenging to solve the joint UL/DL optimization problem due to its non-convexity. Therefore, we develop an efficient algorithm based on the alternating optimization (AO) technique. Specifically, the formulated problem is divided into three sub-problems, and the successive convex approximation (SCA), S-Procedure, and semidefinite relaxation (SDR) are applied to tackle these non-convex sub-problems. Numerical results demonstrate that the proposed algorithm can considerably improve the average secrecy rate compared with the benchmark algorithms, and also confirm the robustness of the proposed algorithm.
引用
收藏
页码:6402 / 6417
页数:16
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