Optimization Algorithm for Physical Layer Security in Multiple Flying RISs-Based Systems

Yuna Sim, S. Sin, Jina Ma, Kyunam Kim, Huaping Liu, Sangmi Moon, Intae Hwang
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Abstract

Recently, as data demand has increased due to the rapidly increasing demand for wireless devices and the influence of data traffic, various technologies are being developed to support it. Among them, in the case of millimeter wave (mmWave) frequencies with rich spectra and high data transmission rates, there is a problem of large path loss. As a result, there is a growing interest in unmanned aerial vehicle (UAV) and reconfigurable intelligent surfaces (RIS) that can be reconstructed advantageously to communicate wireless communication environments. Therefore, this paper introduces the penalty-based successive convex approximation (SCA) and minorization-maximization (MM) algorithms to optimize transmission beamforming vectors and RIS beamforming vectors in a large system consisting of multiple users, eavesdroppers, and a number of Flying RISs combining UAV and RIS.
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基于多飞行 RIS 的系统中物理层安全的优化算法
近来,随着无线设备需求的快速增长和数据流量的影响,数据需求也随之增加,各种支持数据需求的技术也在不断发展。其中,毫米波(mmWave)频率具有丰富的频谱和较高的数据传输速率,但存在较大的路径损耗问题。因此,人们对无人机(UAV)和可重构智能表面(RIS)的兴趣日益浓厚,因为它们可以重构无线通信环境的优势。因此,本文介绍了基于惩罚的逐次凸近似(SCA)和最小化-最大化(MM)算法,以优化由多个用户、窃听者以及多个结合无人机和 RIS 的飞行 RIS 组成的大型系统中的传输波束成形向量和 RIS 波束成形向量。
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