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

Fei ZHAO; Wanming HAO; Gangcan SUN; Yiqing ZHOU; Fei WANG; Yi WANG

doi:10.11959/j.issn.1000-436x.2020169

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

Papers | 更新时间：2024-06-05

- Resource optimization of secure energy efficiency based on mmWave massive MIMO-NOMA system with SWIPT
- Journal on Communications Vol. 41, Issue 8, Pages: 79-86(2020)
- 作者机构：
  
  1. 郑州大学河南先进技术研究院，河南郑州 450003
  2. 郑州航空工业管理学院智能工程学院，河南郑州 450046
  3. 中国科学院计算技术研究所，北京 100190
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2019YFB1803200);The National Natural Science Foundation of China(61801435);The Key Project of Henan Province for Colleges and Universities(19A510024)
- DOI：10.11959/j.issn.1000-436x.2020169
  CLC： TN929
- Online First：2020-08，
  
  Published：25 August 2020
- 稿件说明：
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Fei ZHAO, Wanming HAO, Gangcan SUN, et al. Resource optimization of secure energy efficiency based on mmWave massive MIMO-NOMA system with SWIPT[J]. Journal on Communications, 2020, 41(8): 79-86.
DOI：

Fei ZHAO, Wanming HAO, Gangcan SUN, et al. Resource optimization of secure energy efficiency based on mmWave massive MIMO-NOMA system with SWIPT[J]. Journal on Communications, 2020, 41(8): 79-86. DOI： 10.11959/j.issn.1000-436x.2020169.

摘要

在存在窃听者且合法用户配备功率分裂器用于能量转化的条件下，对毫米波大规模多输入多输出（MIMO）非正交多址接入（NOMA）系统的安全能效（SEE）问题进行了研究。首先根据信道状态信息对合法用户进行分组并选出各组的簇头，然后利用 NOMA 技术和混合数字模拟预编码技术设计多个波束分别服务于各簇。在此基础上，研究优化发送功率及功率分配系数的安全能效最大化问题。应用Dinkelbach技术和一阶泰勒展开式将原非凸问题转化为凸优化问题，进而提出一种迭代优化算法获得最初问题的解。仿真结果表明，所提方案有效提高了系统的安全能效。

Abstract

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.

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references

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