Physical Layer Security Communications and Path Planning For UAV Base Stations

Guanchong Niu, Qi Cao, Man-On Pun
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引用次数: 1

Abstract

Unmanned aerial vehicles (UAVs) have been recognized as the possible revolution in the fifth-generation (5G) wireless networks. In this work, we consider a scenario where a UAV base station (UAVBS) communicates with legitimate user equipments (UEs) in the presence of eavesdroppers (EDs). Specifically, a UAVBS travels around UEs in turns to send commands and collects information from UEs. To guarantee the data transmission rate, the millimeter-wave (mmWave) communication is integrated into the UAVBS system. Two problems are mainly resolved for the proposed system, namely radar-aided beamforming design and physical layer security (PLS) problem. With the assistance of the radar equipped on the UAVBS, the location of the UEs can be obtained before the beamforming is designed to solve the beam selection problem. In addition, the power allocation is optimized using the difference-of-two-convex-function (D.C.) programming algorithms. In order to safeguard data transmissions against such EDs, the PLS communication system is proposed by considering the location of the UAVBS. We derive the path planning algorithm for the UAVBS to avoid the data transmission with the EDs using the disciplined convex and concave programming (DCCP) algorithm. Extensive computer experiments validate the effectiveness of our proposed location-aware PLS communications in the UAVBS system.
无人机基站物理层安全通信与路径规划
无人驾驶飞行器(uav)被认为是第五代(5G)无线网络的可能革命。在这项工作中,我们考虑了无人机基站(UAVBS)在窃听者(ed)存在的情况下与合法用户设备(ue)通信的场景。具体来说,UAVBS轮流在终端周围飞行,发送命令并从终端收集信息。为了保证数据传输速率,将毫米波(mmWave)通信集成到UAVBS系统中。该系统主要解决了两个问题,即雷达辅助波束形成设计和物理层安全问题。在设计波束形成方案解决波束选择问题之前,利用机载雷达可以获得ue的位置。此外,采用双凸函数差分(dc)编程算法优化了功率分配。为了保护数据传输免受这种干扰,考虑到UAVBS的位置,提出了PLS通信系统。本文提出了一种基于凸凹规划(DCCP)算法的UAVBS路径规划算法,以避免与ed之间的数据传输。广泛的计算机实验验证了我们提出的位置感知PLS通信在UAVBS系统中的有效性。
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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