arrow
返回

Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security

delete2019-01-01
delete364
delete
OA
AI
J
Jie Chen
Y
Ying‐Chang Liang *
Y
Yiyang Pei
H
Huayan Guo
DOI:10.1109/ACCESS.2019.2924034delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
In this paper, we introduce an intelligent reflecting surface (IRS) to provide a programmable wireless environment for physical layer security. By adjusting the reflecting coefficients, the IRS can change the attenuation and scattering of the incident electromagnetic wave so that it can propagate in the desired way toward the intended receiver. Specifically, we consider a downlink multiple-input single-output (MISO) broadcast system, where the base station (BS) transmits independent data streams to multiple legitimate receivers and keeps them secret from multiple eavesdroppers. By jointly optimizing the beamformers at the BS and reflecting coefficients at the IRS, we formulate a minimum-secrecy-rate maximization problem under various practical constraints on the reflecting coefficients. The constraints capture the scenarios of both continuous and discrete reflecting coefficients of the reflecting elements. Due to the non-convexity of the formulated problem, we propose an efficient algorithm based on the alternating optimization and the path-following algorithm to solve it in an iterative manner. Besides, we show that the proposed algorithm can converge to a local (global) optimum. Furthermore, we develop two suboptimal algorithms with some forms of closed-form solutions to reduce computational complexity. Finally, the simulation results validate the advantages of the introduced IRS and the effectiveness of the proposed algorithms.
Keyword:
Intelligent reflecting surface
programmable wireless environment
physical layer security
beamforming
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

S
Singapore Institute of Technology
学者数:
848
论文数: 772
被引数: 817
引用论文

引用论文

err分享
err收藏
Emission spectrometry
err2002-05-01
err0
PREAI
errRamon M. Barnes
err分享
err收藏
学者 查看更多内容