Placement and Power Allocation for NOMA-UAV Networks

被引:137
|
作者
Liu, Xiaonan [1 ,2 ]
Wang, Jingjing [3 ]
Zhao, Nan [1 ,2 ]
Chen, Yunfei [4 ]
Zhang, Shun [2 ]
Ding, Zhiguo [5 ]
Yu, F. Richard [6 ]
机构
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[3] Qingdao Univ Sci & Technol, Sch Informat Sci & Technol, Qingdao 266000, Shandong, 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] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
Placement optimization; non-orthogonal multiple access; power allocation; unmanned aerial vehicle;
D O I
10.1109/LWC.2019.2904034
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 vehicles (UAVs) can be used as flying base stations to provide ubiquitous connections for mobile devices in over-crowded areas. On the other hand, non-orthogonal multiple access (NOMA) is a promising technique to support massive connectivity. In this letter, the placement and power allocation (PA) are jointly optimized to improve the performance of the NOMA-UAV network. Since the formulated joint optimization problem is non-convex, the location of the UAV is first optimized, with the total path loss from the UAV to users minimized. Then, the PA for NOMA is optimized using the optimal location of the UAV to maximize the sum rate of the network. Simulation results are presented to show the effectiveness and efficiency of the proposed scheme for NOMA-UAV networks.
引用
收藏
页码:965 / 968
页数:4
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