Optimal Hovering Height and Power Allocation for UAV-Aided NOMA Covert Communication System

被引：0

作者：

Su, Yi ^{[1
]}

Fu, Shu ^{[1
]}

Si, Jiangbo ^{[2
]}

Xiang, Chaocan ^{[3
,4
]}

Zhang, Ning ^{[5
]}

Li, Xue ^{[6
]}

机构：

[1] Chongqing Univ, Coll Microelect & Commun Engn, Chongqing 400044, Peoples R China

[2] Xidian Univ, Integrated Serv Networks Lab, Xian 710100, Peoples R China

[3] Chongqing Univ, Key Lab Dependable Serv Comp Cyber Phys Soc, Minist Educ, Chongqing 400044, Peoples R China

[4] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China

[5] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada

[6] Chongqing Univ, Commun Telemetry & Command Ctr, Chongqing 400044, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2023年 / 12卷 / 06期

基金：

中国国家自然科学基金;

关键词：

NOMA; Autonomous aerial vehicles; Optimization; Communication systems; Wireless communication; Signal to noise ratio; Resource management; Covert communication; unmanned aerial vehicle; non-orthgonal multiple access; joint optimization; PLACEMENT;

D O I：

10.1109/LWC.2023.3238510

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we consider an unmanned aerial vehicle (UAV) aided covert communication system in which the UAV provides downlink transmission to the public user and covert user with non-orthogonal multiple access (NOMA). In the considered system, the covert performance can be effectively enhanced by the mobility of the UAV and the transmission from UAV to the public user. Aiming at improving the covert signal-to-noise ratio (SNR), we jointly optimize the hovering height and power allocation of UAV and formulate a signomial programming (SP) problem. To tackle the nonconvex optimization, we develop a successive geometric programming approximation (SGPA) algorithm. The optimal hovering height and power allocation are provided with numerical results and the outperformance of our design is verified.

引用

页码：937 / 941

页数：5

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