基于IRS的无人机安全传输研究
(1.重庆邮电大学 通信与信息工程学院,重庆 400065;2.信号与信息处理重庆市重点实验室,重庆 400065)
摘要
针对无人机(Unmanned Aerial Vehicle, UAV)安全通信场景中窃听者位置信息不准确以及UAV飞行存在禁飞区域(No Fly Zones, NFZ)的问题,对智能反射面(Intelligent Reflecting Surface, IRS)辅助UAV通信网络的安全传输问题进行了研究。构建了一个以最大化最坏情况下的平均保密率为目标的优化问题,利用交替优化算法、相位对齐以及逐次凸逼近法对IRS相移、UAV飞行轨迹以及UAV发射功率进行联合优化。仿真结果表明,所提出的方案能够很好地应对窃听者位置信息不完美与NFZ的问题,提升最坏情况下的平均保密率。
关键词
无人机;禁飞区域;智能反射面;安全传输
参考文献
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作者简介
梁燕(1977—),女,汉族,重庆人,高级工程师,硕士,研究方向:移动通信软件开发、嵌入式与物联网、AI人工智能;杨春(2000—),女,彝族,四川凉山人,硕士研究生在读,研究方向:无人机安全、智能反射面。