Active Aerial Reconfigurable Intelligent Surface Assisted Secure Communications: Integrating Sensing and Positioning

Dawei Wang;Zijun Wang;Keping Yu;Zhiqiang Wei;Hongbo Zhao;Naofal Al-Dhahir;Mohsen Guizani;Victor C. M. Leung
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Abstract

This paper proposes an active aerial reconfigurable intelligent surface (ARIS) assisted secure communication framework by integrating sensing and positioning against a mobile eavesdropper. In the proposed scheme, the base station (BS) beamforms the private information to the legitimate user and jams the eavesdropper with artificial noise (AN), while reconfiguring the phases and amplitudes of the passive signal by the active ARIS for promoting secure communications. To acquire the channel state information of the time-vary wiretap channel, the BS tracks the position of the eavesdropper by exploiting the reflected AN. Based on the tracked position of the eavesdropper in the previous time slot, we propose a secure communication scheme that aims to maximize the secrecy rate in the current time slot. This scheme is assisted by the ARIS through jointly optimizing the passive beamforming of the privacy information and AN, the reflection matrix of the ARIS, and the position of the ARIS. In the case of this non-convex quandary with highly coupled variables, we opt to disassemble it into three constituent subproblems and design an alternating optimization framework, where the optimal power beamforming at the BS is derived using a successive convex approximation method and semi-positive definite relaxation technique, the reconfigurable coefficient of the ARIS is optimized using the majorization-minimization algorithm, and the optimal position of the ARIS using the three-dimensional network is obtained by the deep deterministic policy gradient algorithm. Simulation results demonstrate the superior performance of the proposed scheme in the context of the secrecy rate when compared with benchmark schemes. By adopting the active beamforming and positioning technique, the secrecy rate can be increased by 38.3% and 10.8%, respectively.
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主动式空中可重构智能表面辅助安全通信:传感与定位一体化
本文提出了一种主动式空中可重构智能表面(ARIS)辅助安全通信框架,它将传感和定位集成在一起,以对抗移动窃听者。在所提出的方案中,基站(BS)将私人信息波束成形给合法用户,并用人工噪声(AN)干扰窃听者,同时通过主动空中可重构智能面(ARIS)重新配置无源信号的相位和振幅,以促进安全通信。为了获取时变窃听信道的信道状态信息,BS 利用反射的 AN 跟踪窃听者的位置。根据上一时隙跟踪到的窃听者位置,我们提出了一种安全通信方案,旨在最大限度地提高当前时隙的保密率。通过联合优化隐私信息和 AN 的无源波束成形、ARIS 的反射矩阵以及 ARIS 的位置,ARIS 可以辅助该方案。对于这种高度耦合变量的非凸窘境,我们选择将其分解为三个子问题,并设计了一个交替优化框架,其中利用连续凸近似方法和半正定松弛技术推导出 BS 的最佳功率波束成形,利用大化最小化算法优化 ARIS 的可重构系数,利用深度确定性策略梯度算法获得 ARIS 在三维网络中的最佳位置。仿真结果表明,与基准方案相比,所提方案在保密率方面具有更优越的性能。通过采用主动波束成形和定位技术,保密率可分别提高 38.3% 和 10.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Table of Contents IEEE Journal on Selected Areas in Communications Publication Information Guest Editorial Integrated Ground-Air-Space Wireless Networks for 6G Mobile—Part I IEEE Communications Society Information IEEE Open Access Publishing
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