Performance Analysis and Optimization for Jammer-Aided Multiantenna UAV Covert Communication

计算机科学 发射机功率输出 隐蔽的 基站 干扰 数学优化 实时计算 计算机网络 频道(广播) 发射机 数学 语言学 热力学 物理 哲学
作者
Hongyang Du,Dusit Niyato,Yuan-ai Xie,Yanyu Cheng,Jiawen Kang,Dong In Kim
出处
期刊:IEEE Journal on Selected Areas in Communications [Institute of Electrical and Electronics Engineers]
卷期号:40 (10): 2962-2979 被引量:24
标识
DOI:10.1109/jsac.2022.3196131
摘要

Unmanned aerial vehicles (UAVs) have attracted a lot of research attention because of their high mobility and low cost in serving as temporary aerial base stations (BSs) and providing high data rates for next-generation communication networks. To protect user privacy while avoiding detection by a warden, we investigate a jammer-aided UAV covert communication system, which aims to maximize the user’s covert rate with optimized transmit and jamming power. The UAV is equipped with multi-antennas to serve multi-users simultaneously and enhance the Quality of Service. By considering the general composite fading and shadowing channel models, we derive the exact probability density (PDF) and cumulative distribution functions (CDF) of the signal-to-interference-plus-noise ratio (SINR). The obtained PDF and CDF are used to derive the closed-form expressions for detection error probability and covert rate. Furthermore, the covert rate maximization problem is formulated as a Nash bargaining game, and the Nash bargaining solution (NBS) is introduced to investigate the negotiation among users. To solve the NBS, we propose two algorithms, i.e., particle swarm optimization-based and joint two-stage power allocation algorithms, to achieve covertness and high data rates under the warden’s optimal detection threshold. All formulated problems are proven to be convex, and the complexity is analyzed. The numerical results are presented to verify the theoretical performance analysis and show the effectiveness and success of achieving the covert communication of our algorithms.
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