Resource Allocation and Trajectory Optimization for UAV-Enabled Multi-User Covert Communications

被引：62

作者：

Jiang, Xu ^{[1
,2
]}

Yang, Zhutian ^{[3
]}

Zhao, Nan ^{[1
,2
]}

Chen, Yunfei ^{[4
]}

Ding, Zhiguo ^{[5
]}

Wang, Xianbin ^{[6
]}

机构：

[1] Dalian Univ Technol, Minist Educ, Key Lab Intelligent Control & Optimizat Ind Equip, Dalian 116024, Peoples R China

[2] Peng Cheng Lab, Shenzhen 518066, Peoples R China

[3] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150006, Peoples R China

[4] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England

[5] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England

[6] Western Univ, Dept Elect & Comp Engn, London, ON N6A 5B9, Canada

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2021年 / 70卷 / 02期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Unmanned aerial vehicles; Resource management; Wireless communication; Trajectory optimization; Communication system security; Atmospheric modeling; Iterative methods; Covert communication; resource allocation; trajectory optimization; unmanned aerial vehicle; TRANSMIT POWER; BASE STATION; DESIGN;

D O I：

10.1109/TVT.2021.3053936

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this correspondence, covert air-to-ground communication is investigated to hide the wireless transmission from unmanned aerial vehicle (UAV). The warden's total detection error probability with limited observations is first analyzed. Considering the location uncertainty of the warden, a robust resource allocation and UAV trajectory optimization problem with worst-case covertness constraint is then formulated to maximize the average covert rate. To solve this optimization problem, we propose a block coordinate descent method based iterative algorithm to optimize the time slot allocation, power allocation and trajectory alternately. Numerical results demonstrate the effectiveness of the proposed algorithm in covert communication for UAVs.

引用

页码：1989 / 1994

页数：6

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