Secure Communication in UAV-RIS-Empowered Multiuser Networks: Joint Beamforming, Phase Shift, and UAV Trajectory Optimization

被引:10
作者
Adam, Abuzar B. M. [1 ]
Ouamri, Mohamed Amine [2 ]
Wan, Xiaoyu [3 ]
Muthanna, Mohammed Saleh Ali [4 ]
Alkanhel, Reem [5 ]
Muthanna, Ammar [6 ]
Li, Xingwang [7 ]
机构
[1] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust SnT, L-1855 Luxembourg, Luxembourg
[2] Univ Sorbonne Paris Nors, IUT Villetaneuse, Network & Telecommun Dept, Lab L2TI, F-93430 Villetaneuse, France
[3] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
[4] Southern Fed Univ, Inst Comp Technol & Informat Secur, Taganrog 347922, Russia
[5] Princess Nourah Bint Abdulrahman Univ, Coll Comp & Informat Sci, Dept Informat Technol, Riyadh 11671, Saudi Arabia
[6] RUDN Univ, Peoples Friendship Univ Russia, Moscow 117198, Russia
[7] Henan Polytech Univ, Sch Phys & Elect Informat Engn, Jiaozuo 454000, Peoples R China
来源
IEEE SYSTEMS JOURNAL | 2024年 / 18卷 / 02期
关键词
Autonomous aerial vehicles; Trajectory; Array signal processing; Uncertainty; Urban areas; Transforms; Rician channels; Beamforming; reconfigurable intelligent surface (RIS); secrecy rate; unmanned aerial vehicle (UAV); UAV trajectory; ROBUST; INTELLIGENT; INFORMATION; DESIGN;
D O I
10.1109/JSYST.2024.3379456
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we study the secure communication in unmanned aerial vehicle (UAV) aided and reconfigurable intelligent surface (RIS) empowered multiuser networks. In the proposed configuration, we consider UAV-mounted RIS to reflect the signal between the base station and the legitimate users in the presence of eavesdroppers. The problem is formulated as secrecy rate maximization with channel uncertainty constraints, which is nonconvex. Therefore, we decouple it into beamforming, phase shift, and UAV trajectory subproblems which are jointly optimized. For the beamforming and phase shift subproblems, we apply S-procedure and general sign-definiteness to transform them into tractable forms. And for the UAV trajectory, we unroll the constraints and apply first-order Taylor transform and the difference of two convex functions (DC) to obtain a relaxed convex problem that can be numerically solved. The proposed solution show effectiveness and improved the secrecy rate of the network.
引用
收藏
页码:1009 / 1019
页数:11
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