智能反射表面辅助的MISO通信系统的物理层安全设计方案

景小荣; 宋振远; 高维; 雷维嘉; 陈前斌

doi:10.11959/j.issn.1000-436x.2022018

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智能反射表面辅助的MISO通信系统的物理层安全设计方案

学术论文 | 更新时间：2024-06-05

- 智能反射表面辅助的MISO通信系统的物理层安全设计方案
- Design scheme of physical layer security for intelligent reflecting surface-assisted MISO communication system
- 通信学报 2022年43卷第1期页码：117-126
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 重庆邮电大学移动通信技术重庆市重点实验室，重庆 400065
- 作者简介：
  
  [ "景小荣（1974- ），男，甘肃平凉人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信系统信号与信息处理" ]
  [ "宋振远（1994- ），男，河南民权人，重庆邮电大学硕士生，主要研究方向为无线通信、信号处理" ]
  [ "高维（1987- ），女，重庆开州人，重庆邮电大学博士生，主要研究方向为无线通信及信号处理" ]
  [ "雷维嘉（1969- ），男，云南元谋人，博士，重庆邮电大学教授，主要研究方向为认知无线电、物理层安全" ]
  [ "陈前斌（1967- ），男，四川营山人，博士，重庆邮电大学教授、博士生导师，主要研究方向为通信网理论与技术、无线通信、多媒体信息传输与处理" ]
- 基金信息：
  
  国家自然科学基金资助项目(61701062);重庆市基础与前沿研究计划基金资助项目(cstc2019jcyj-msxmX0079)
- DOI：10.11959/j.issn.1000-436x.2022018
  中图分类号： TN929.5
- 网络出版日期：2022-01，
  
  纸质出版日期：2022-01-25
- 稿件说明：
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景小荣, 宋振远, 高维, 等. 智能反射表面辅助的MISO通信系统的物理层安全设计方案[J]. 通信学报, 2022,43(1):117-126.

Xiaorong JING, Zhenyuan SONG, Wei GAO, et al. Design scheme of physical layer security for intelligent reflecting surface-assisted MISO communication system[J]. Journal on communications, 2022, 43(1): 117-126.
景小荣, 宋振远, 高维, 等. 智能反射表面辅助的MISO通信系统的物理层安全设计方案[J]. 通信学报, 2022,43(1):117-126. DOI： 10.11959/j.issn.1000-436x.2022018.

Xiaorong JING, Zhenyuan SONG, Wei GAO, et al. Design scheme of physical layer security for intelligent reflecting surface-assisted MISO communication system[J]. Journal on communications, 2022, 43(1): 117-126. DOI： 10.11959/j.issn.1000-436x.2022018.

摘要

智能反射表面（IRS）可通过调整反射单元的相位来提升无线通信物理层安全。针对 IRS 辅助的多输入单输出（MISO）通信系统，提出一种基于交替迭代的物理层安全设计方案。首先基于安全速率最大化原则，构建一个含有非凸约束的非凸目标函数；然后采用丁克尔巴赫算法和黎曼流形优化算法将非凸问题转化为一系列易于求解的子问题；最后采用交替迭代法实现发送波束成形和IRS相移矩阵的优化设计。仿真结果表明，与现有方案相比，所提方案在计算复杂度与系统安全速率之间取得了更好的折中。

Abstract

Intelligent reflecting surface (IRS) improves the physical layer security of the communication systems by adjusting the phases of the reflecting units.A scheme of physical layer security design based on alternative iteration was proposed for IRS-assisted multiple input single output (MISO) communication system.Firstly

aiming at maximizing the secrecy rate

a non-convex objective function with non-convex constraints was constructed.Secondly

the Dinkelbach algorithm and Riemannian manifold optimization algorithm were adopted to transform the non-convex problem into a series of solvable sub-problems.Finally

the alternate iteration method was used to achieve the optimization design of transmit beamforming and IRS phase shift matrix.The simulation results show that

compared with the several existing schemes

the proposed scheme can achieve a better tradeoff between computational complexity and system security rate.

关键词

Keywords

references

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