Robust Secure UAV Communications With the Aid of Reconfigurable Intelligent Surfaces

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 capac...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 20; no. 10; pp. 6402 - 6417
Main Authors: Li, Sixian, Duo, Bin, Renzo, Marco Di, Tao, Meixia, Yuan, Xiaojun
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Algorithms
Array signal processing
Beamforming
Communication systems
Communications systems
Convexity
Eavesdropping
Engineering Sciences
Optimization
Power control
reconfigurable intelligent surface
Reconfigurable intelligent surfaces
robust passive beamforming
robust power control
robust trajectory design
Robustness (mathematics)
Signal and Image processing
Time Division Multiple Access
Trajectory
Transmitters
UAV secure communication
Unmanned aerial vehicles
Wireless communication
Wiretapping
UAV secure communication
robust power control
reconfigurable intelligent surface
robust passive beamforming
robust trajectory design
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Summary: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), <inline-formula> <tex-math notation="LaTeX">\mathcal {S} </tex-math></inline-formula>-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.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2021.3073746