Resource optimization of secure energy efficiency based on mmWave massive MIMO-NOMA system with SWIPT

被引：0
|
作者：
Zhao, Fei [1 ,2 ]
Hao, Wanming [1 ]
Sun, Gangcan [1 ]
Zhou, Yiqing [1 ,3 ]
Wang, Fei [1 ]
Wang, Yi [2 ]
机构：
[1] Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou,450003, China
[2] School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou,450046, China
[3] Institute of Computing Technology, Chinese Academy of Sciences, Beijing,100190, China
来源：
Tongxin Xuebao/Journal on Communications | 2020年 / 41卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Approximation algorithms - Energy transfer - Iterative methods - Channel state information - Millimeter waves - MIMO systems;
D O I：
10.11959/j.issn.1000-436x.2020169
中图分类号：
学科分类号：
摘要：
The secure energy efficiency (SEE) problem was investigated for the millimeter wave (mmWave) multiple input multiple output (MIMO) non-orthogonal multiplex access (NOMA) systems with simultaneous wireless information and power transfer (SWIPT) in the presence of multiple legitimate receiver (LR) and an eavesdropper. LR was first grouped according to the channel state information and the cluster heads of each group were selected, then the LR of each cluster was served by each beam with NOMA and hybrid precoding technology. Based on this, a SEE maximization problem was formulated by optimizing power allocation and power splitting factors. The Dinkelbach algorithm and first order Taylor approximation were proposed to transform the original non-convex problem into a convex one, and an iterative algorithm was developed to solve it. Finally, numerical results show that the proposed scheme can effectively improve the SEE. © 2020, Editorial Board of Journal on Communications. All right reserved.
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页码：79 / 86
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