计算机科学
无线
隐蔽的
实时计算
凸优化
对偶(语法数字)
频道(广播)
衰退
计算机网络
正多边形
数学
电信
艺术
哲学
语言学
几何学
文学类
作者
Yang Guo,Yuwen Qian,Ke Ren,Zhen Mei,Feng Shu,Xiangwei Zhou,Wen Wu
出处
期刊:IEEE Journal of Selected Topics in Signal Processing
[Institute of Electrical and Electronics Engineers]
日期:2023-07-26
卷期号:17 (5): 1119-1130
被引量:2
标识
DOI:10.1109/jstsp.2023.3299116
摘要
Unmanned aerial vehicle (UAV) aided augmented reality (AR) has developed rapidly in recent years and has become a promising technology in disaster rescue, transportation, agriculture, and environmental monitoring. However, the information leakage is challenging the usage of UAV-aided AR systems with wireless communications. In this article, a dual UAVs assisted covert communication system (CCS) is proposed, where one UAV transmits the covert message to ground receivers and a cooperative UAV performs as a jammer to interfere with the malicious eavesdropper. However, flying UAVs result in fast channel fading between the UAVs and ground nodes, which reduces the covert rate of the CCSs. To maximize the average covert rate, we formulated a non-convex optimization problem under the constraint that the detection error probability (DEP) of the monitor is minimum. Furthermore, the problem is decomposed into three subproblems and transformed into convex, and these subproblems are solved alternately by designing an iterative algorithm. Simulation results reveal that the average covert rate performance of the proposed optimization algorithm can respectively achieve 16% and 40% gains than those without covert constraint and without the cooperative UAV used as a jammer.
科研通智能强力驱动
Strongly Powered by AbleSci AI