Energy Efficiency Maximization in Massive MIMO-NOMA Networks with Non-linear Energy Harvesting

被引:2
|
作者
Wang, Zhongyu [1 ]
Lv, Tiejun [1 ]
Li, Weicai [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Key Lab Trustworthy Distributed Comp & Serv, Minist Educ, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
来源
2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2021年
基金
北京市自然科学基金;
关键词
Massive MIMO NOMA; non-linear energy harvesting; antenna selection; energy efficiency; NONORTHOGONAL MULTIPLE-ACCESS; WIRELESS INFORMATION; SYSTEMS; 5G;
D O I
10.1109/WCNC49053.2021.9417389
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the energy-efficient resource allocation problem in massive multiple input and multiple output (MIMO) non-orthogonal multiple access (NOMA) networks with practical non-linear energy harvesting (NEH). In the considered system, a multi-antenna base station (BS) transfers power to the Internet-of-Things (IoT) devices via energy beamforming in the downlink, followed by the IoT devices sending their data simultaneously in the uplink by consuming the harvested energy. A time division protocol is designed to adequately allocation the energy harvesting (EH) time and wireless information transmission time. To improve the energy efficiency (EE), we propose a joint power, time and antenna selection allocation scheme under the NEH model. An EE maximization problem is formulated to effectively determine the optimal resource allocation strategies. As the formulated problem is non-trivial, a non-linear fraction programming method is applied to convert the problem into a convex optimization problem, and then solve it by Lagrange dual decomposition approach. Simulation results demonstrate the effectiveness of the proposed solution.
引用
收藏
页数:6
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