Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks

被引:49
作者
Li, Yabo [1 ]
Zhang, Haijun [1 ]
Long, Keping [1 ]
Choi, Sunghyun [2 ,3 ]
Nallanathan, Arumugam [4 ,5 ]
机构
[1] Univ Sci & Technol Beijing, Beijing Adv Innovat Ctr Mat Genome Engn, Beijing Engn & Technol Res Ctr Convergence Networ, Inst Artificial Intelligence, Beijing, Peoples R China
[2] Seoul Natl Univ, Dept Elect & Comp Engn, Seoul, South Korea
[3] Seoul Natl Univ, INMC, Seoul, South Korea
[4] Queen Mary Univ London, Sch Elect Engn & Comp Sci, Wireless Commun, London, England
[5] Queen Mary Univ London, Sch Elect Engn & Comp Sci, Commun Syst Res Grp, London, England
来源
IEEE NETWORK | 2020年 / 34卷 / 02期
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Wireless networks; Resource management; Unmanned aerial vehicles; NOMA; Silicon carbide; Relays;
D O I
10.1109/MNET.001.1900231
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Due to their advantages in rapid deployment and miniaturization, UAVs have been widely used in various fields, especially for disaster scenarios which require emergency communications. This article considers a fog UAV wireless network and focuses on improving energy efficiency through subchannel assignment and power allocation. Specifically, in order to make better use of limited spectrum resources, this article considers integrating NOMA which is widely recognized as an emerging transmission technology into UAV wireless networks. On the basis of the proposed UAV network architecture, a two-sided matching and swapping algorithm is proposed to optimize subchannel assignment. We provide a power allocation method to maximize energy efficiency. Simulation results show that the proposed UAV system architecture, as well as the resource allocation method, can prominently improve the energy efficiency of fog UAV wireless networks.
引用
收藏
页码:158 / 163
页数:6
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