继电器
计算机科学
发射机功率输出
衰退
水准点(测量)
隐蔽的
选择(遗传算法)
无线
天线分集
功率(物理)
频道(广播)
最优化问题
实时计算
接头(建筑物)
分集合并
信噪比(成像)
假警报
信道状态信息
功率控制
蒙特卡罗方法
可操作性
计算机网络
中继信道
码分多址
脆弱性(计算)
误码率
统计能力
作者
Mo Yang,Ying Huang,Jing Lei
出处
期刊:Drones
[Multidisciplinary Digital Publishing Institute]
日期:2026-02-26
卷期号:10 (3): 160-160
标识
DOI:10.3390/drones10030160
摘要
Unmanned aerial vehicles (UAVs) are pivotal for 6G ubiquity, yet their open line-of-sight channels increase vulnerability to interception, posing new challenges for covert communication. This paper proposes a joint optimization scheme for multi-UAV relay-assisted covert communication system with the maximum channel capacity relay selection (MCRS) criterion. Distinct from conventional single-UAV approaches, this scheme uniquely couples UAV geometric positions with the time-varying characteristics of the wireless channels, exploiting spatial diversity from UAV relays to mitigate small-scale fading in dense urban environment, and jointly optimizes the transmit power and UAVs’ altitude. Specifically, we first designed an optimal relay selection strategy and derived analytical expressions for detection error and outage probabilities over altitude-dependent Nakagami-m fading channels. Furthermore, we maximized the effective covert rate by jointly optimizing the UAVs’ hovering altitude and adaptive transmit power of source and relays, subject to covert constraints. Extensive numerical results demonstrate a near-perfect match between the derived theoretical expressions and Monte Carlo simulations and validate the accuracy of our theoretical model. Compared against conventional single-UAV and multi-fixed-altitude UAV benchmark schemes, simulations demonstrate that the joint optimization scheme with relay selection proposed significantly enhances the covert performance of UAV-assisted communication systems.
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