IRS与人工噪声辅助的MIMO通信系统物理层安全方案设计

doi:10.12305/j.issn.1001-506X.2022.10.33

系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (10): 3266-3274.doi: 10.12305/j.issn.1001-506X.2022.10.33

IRS与人工噪声辅助的MIMO通信系统物理层安全方案设计

景小荣^1,^2,*, 宋振远¹, 罗悦¹, 马玉丹¹

1. 重庆邮电大学通信与信息工程学院, 重庆 400065
2. 移动通信技术重庆市重点实验室, 重庆 400065

收稿日期:2021-04-15 出版日期:2022-09-20 发布日期:2022-10-24
通讯作者: 景小荣
作者简介:景小荣(1974—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为无线通信基本理论、通信信号处理|宋振远(1994—), 男, 硕士研究生, 主要研究方向为物理层安全、智能反射表面辅助通信|罗悦(1992—), 女, 硕士研究生, 主要研究方向为信道估计、智能反射表面辅助通信|马玉丹(1997—), 女, 硕士研究生, 主要研究方向为智能反射面辅助通信、索引调制和信道检测与参数估计
基金资助:
国家自然科学基金(61701062);重庆市基础与前沿研究计划(cstc2019jcyj-msxmX0079)

Design of physical layer safety scheme aided with IRS and artificial noise for MIMO communication systems

Xiaorong JING^1,^2,*, Zhenyuan SONG¹, Yue LUO¹, Yudan MA¹

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Chongqing Key Lab of Mobile Communications Technology, Chongqing 400065, China

Received:2021-04-15 Online:2022-09-20 Published:2022-10-24
Contact: Xiaorong JING

摘要/Abstract

摘要：

针对多输入多输出通信系统信息传输过程中的安全问题, 提出一种智能反射表面(intelligent reflecting surface, IRS)与人工噪声辅助的物理层安全设计方案。在该方案中, 首先基于系统保密速率最大化准则, 构建一非凸优化问题。由于该问题求解需联合优化设计基站波束赋形矩阵、人工噪声协方差矩阵及IRS相移矩阵，为易于求解, 基于均方误差准则, 对非凸目标函数进行等价转换。最后, 以交替迭代方式分别利用内点法和基于黎曼流形的共轭梯度下降算法, 求解波束赋形矩阵和人工噪声协方差矩阵以及IRS相移矩阵。仿真结果表明, 所提方案的系统保密速率在发送端具有较高的发送功率时, 优于其他几种方案。

关键词: 物理层安全, 智能反射表面, 多输入多输出, 人工噪声, 黎曼流形优化

Abstract:

For security issues of multiple input multiple output (MIMO) communication system in the process of information transmission, this paper proposes a physical layer security scheme aided by intelligent reflecting surfaces (IRS) and artificial noise. In this scheme, based on the criterion of maximizing the system security rate, a non-convex optimization problem is first constructed involved with the joint design of base station beamforming matrix, artificial noise covariance matrix, and IRS phase shift matrix. Then, in order to make the optimization problem solvable, the non-convex objective function is equivalently transformed based on the mean square error criterion. Finally, the interior point method and the conjugate gradient descent algorithm based on Riemannian manifold are respectively used to obtain the beamforming matrix, the artificial noise covariance matrix, and the IRS phase shift matrix in an alternating iterative manner. Simulation results show that the system security rate of the proposed scheme is superior to other schemes when the sender has high transmission power.

Key words: physical layer security, intelligent reflecting surface (IRS), multiple input multiple output (MIMO), artificial noise, Riemannian manifold optimizaiton

中图分类号:

TN918.91

景小荣, 宋振远, 罗悦, 马玉丹. IRS与人工噪声辅助的MIMO通信系统物理层安全方案设计[J]. 系统工程与电子技术, 2022, 44(10): 3266-3274.

Xiaorong JING, Zhenyuan SONG, Yue LUO, Yudan MA. Design of physical layer safety scheme aided with IRS and artificial noise for MIMO communication systems[J]. Systems Engineering and Electronics, 2022, 44(10): 3266-3274.

图/表 6

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IRS与人工噪声辅助的MIMO通信系统物理层安全方案设计

Design of physical layer safety scheme aided with IRS and artificial noise for MIMO communication systems

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