基于SWIPT的毫米波大规模MIMO-NOMA系统下安全能效资源优化

赵飞; 郝万明; 孙钢灿; 周一青; 王飞; 王毅

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

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基于SWIPT的毫米波大规模MIMO-NOMA系统下安全能效资源优化

学术论文 | 更新时间：2024-06-05

- 基于SWIPT的毫米波大规模MIMO-NOMA系统下安全能效资源优化
- Resource optimization of secure energy efficiency based on mmWave massive MIMO-NOMA system with SWIPT
- 通信学报 2020年41卷第8期页码：79-86
- 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：
  
  [ "赵飞（1985– ），男，河南郑州人，郑州大学博士生，主要研究方向为毫米波、NOMA无线通信、无线携能通信和物理层安全" ]
  [ "郝万明（1988– ），男，河南安阳人，博士，郑州大学讲师，主要研究方向为毫米波、NOMA 无线通信、边缘缓存和无线携能通信等" ]
  [ "孙钢灿（1977– ），男，河南濮阳人，博士，郑州大学副教授，主要研究方向为通信信号处理、通信信号关键参数盲估计、调制方式识别、机器人和智慧物流等" ]
  [ "周一青（1975– ），女，北京人，博士，中国科学院计算技术研究所研究员，主要研究方向为无线移动通信技术" ]
  [ "王飞（1987– ），男，河南郑州人，郑州大学博士生，主要研究方向为网络优化、无线携能通信、无线传感网等" ]
  [ "王毅（1984– ），男，河南三门峡人，博士，郑州航空工业管理学院讲师，主要研究方向为大规模 MIMO、能效通信、无人机辅助通信、物理层安全技术等" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2019YFB1803200);国家自然科学基金资助项目(61801435);河南省高等学校重点科研基金资助项目(19A510024)
- DOI：10.11959/j.issn.1000-436x.2020169
  中图分类号： TN929
- 网络首发：2020-08，
  
  纸质出版：2020-08-25
- 稿件说明：
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赵飞, 郝万明, 孙钢灿, 等. 基于SWIPT的毫米波大规模MIMO-NOMA系统下安全能效资源优化[J]. 通信学报, 2020,41(8):79-86.

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.
赵飞, 郝万明, 孙钢灿, 等. 基于SWIPT的毫米波大规模MIMO-NOMA系统下安全能效资源优化[J]. 通信学报, 2020,41(8):79-86. DOI： 10.11959/j.issn.1000-436x.2020169.

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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