Joint Location and Transmit Power Optimization for NOMA-UAV Networks via Updating Decoding Order

被引：37
作者：
Zhang, Ran [1 ,2 ]
Pang, Xiaowei [1 ,2 ]
Tang, Jie [3 ]
Chen, Yunfei [4 ]
Zhao, Nan [1 ,2 ]
Wang, Xianbin [5 ]
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] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Peoples R China
[4] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England
[5] Western Univ, Dept Elect & Comp Engn, London, ON N6A 3K7, Canada
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2021年 / 10卷 / 01期
基金：
中国国家自然科学基金;
关键词：
NOMA; power and location optimization; successive interference cancellation; UAV; COMMUNICATION; ALLOCATION; PLACEMENT; DESIGN;
D O I：
10.1109/LWC.2020.3023253
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Unmanned aerial vehicle (UAV) can be combined with non-orthogonal multiple access (NOMA) to achieve better performance. However, jointly optimizing the location, transmit power and decoding order for NOMA-UAV networks remains difficult, due to the change of decoding order as a result of UAV mobility. In this letter, a low-complexity scheme is proposed to maximize the sum rate of NOMA-UAV networks via updating decoding order, which can be decomposed into two steps. First, the joint location and power optimization can be divided into two non-convex sub-problems, which are further approximated via successive convex optimization. Then, the decoding order is updated according to the optimized UAV location. An iterative algorithm is proposed to execute the two steps alternately. In addition, the asymptotic performance is analyzed. Simulation results demonstrate the effectiveness of the proposed scheme.
引用
收藏
页码：136 / 140
页数：5
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