论文标题

借助可重新配置的智能表面,可靠的安全无人机通信

Robust Secure UAV Communications with the Aid of Reconfigurable Intelligent Surfaces

论文作者

Sixian, Li, Bin, Duo, Di Renzo, Marco, Meixia, Tao, Xiaojun, Yuan

论文摘要

本文在可重构智能表面(RISS)的帮助下调查了一种新型的无人驾驶汽车(UAV)安全通信系统,无人机和地面用户相互通信,而窃听者则倾向于窃听他们的信息。由于无人机的能力有限,因此应用RIS进一步提高安全通信的质量。时间划分多重访问(TDMA)协议用于无人机与地面用户之间的通信,即下行链路(DL)和上行链路(UL)通信。特别是,假定窃听通道的通道状态信息(CSI)是不完美的。我们的目标是通过无人机轨迹,RIS的被动波束形成以及合法发射器的发射功率的强大关节设计来最大化平均最差的保密率。由于其非凸度性,解决关节UL/DL优化问题是一项挑战。为此,我们基于交替优化(AO)技术开发了一种有效的算法。具体而言,该法式问题分为三个子问题,并将连续的凸近似(SCA),S-加工和半决赛弛豫(SDR)应用于解决这些非凸子VEVEX子问题。数值结果表明,与基准算法相比,所提出的算法可以大大提高平均保密率,并确认所提出算法的鲁棒性。

This paper investigates a novel unmanned aerial vehicles (UAVs) secure communication system with the assistance of reconfigurable intelligent surfaces (RISs), where an UAV and a ground user communicate with each other, while an eavesdropper tends to wiretap their information. Due to the limited capacity of UAVs, a RIS is applied to further improve the quality of the secure communications. 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. It is challenging to solve the Joint UL/DL optimization problem due to its non-convexity. To this end, 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.

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