Secrecy rate optimization for intelligent reflecting surface aided multi‐input‐single‐output terahertz communication

Intelligent reflecting surface (IRS) is an emerging paradigm to enhance terahertz (THz) communications with low hardware costs and reduced power consumptions. In this work, we study an IRS‐aided THz multi‐input‐single‐output secure communication system, where a base station (BS) transmits confidenti...

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Bibliographic Details
Published in:Microwave and optical technology letters Vol. 62; no. 8; pp. 2760 - 2765
Main Authors: Chen, Wenjie, Chen, Zhi, Ma, Xinying, Chi, Yaojia, Li, Zhuoxun
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 01.08.2020
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Subjects:
Algorithms
Antennas
Communications systems
intelligent reflecting surface
Optimization
Phase shift
Power consumption
Reconfigurable intelligent surfaces
secrecy rate
terahertz communication
ISSN:0895-2477, 1098-2760
Online Access:Get full text
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Summary:Intelligent reflecting surface (IRS) is an emerging paradigm to enhance terahertz (THz) communications with low hardware costs and reduced power consumptions. In this work, we study an IRS‐aided THz multi‐input‐single‐output secure communication system, where a base station (BS) transmits confidential signals to a single‐antenna user with the presence of a single‐antenna eavesdropper. We seek to maximize the secrecy rate by designing the discrete phase‐shifts at the IRS and the precoder at the BS, which is an intractable nonconvex optimization problem. To solve it, we propose to iteratively design the above two matrix variables. Specifically, with a given phase‐shift matrix, we can obtain the optimal precoder by the Rayleigh‐Ritz theorem. And with a given precoder matrix, we propose a cross‐entropy‐based algorithm to obtain the optimal phase‐shift matrix. Numerical results demonstrate that our proposed solution is able to improve the secrecy rate than that of the case without IRS.
Bibliography:Funding information
National Key Research and Development Project of China, Grant/Award Number: 2018YFB1801500
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ISSN:0895-2477
1098-2760
DOI:10.1002/mop.32373