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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Veröffentlicht in:	Microwave and optical technology letters Jg. 62; H. 8; S. 2760 - 2765
Hauptverfasser:	Chen, Wenjie, Chen, Zhi, Ma, Xinying, Chi, Yaojia, Li, Zhuoxun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.08.2020 Wiley Subscription Services, Inc
Schlagworte:	Algorithms Antennas Communications systems intelligent reflecting surface Optimization Phase shift Power consumption Reconfigurable intelligent surfaces secrecy rate terahertz communication
ISSN:	0895-2477, 1098-2760
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Abstract	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.
AbstractList	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.
Author	Chen, Zhi Ma, Xinying Chen, Wenjie Li, Zhuoxun Chi, Yaojia
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Cites_doi	10.1016/j.nancom.2020.100284 10.1109/ACCESS.2019.2924034 10.1109/TCOMM.2017.2734666 10.1049/el.2011.1407 10.1109/ICCChinaW.2019.8849960 10.1109/JSYST.2018.2851587 10.1038/lsa.2014.99 10.1109/LWC.2019.2919685 10.1109/LCOMM.2019.2924214 10.1109/TCOMM.2015.2440356 10.1049/iet-map.2016.0022 10.1038/s41566-019-0475-6 10.1109/MWC.001.1900050 10.1109/TSP.2018.2795547 10.1002/advs.201900460
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SubjectTerms	Algorithms Antennas Communications systems intelligent reflecting surface Optimization Phase shift Power consumption Reconfigurable intelligent surfaces secrecy rate terahertz communication
Title	Secrecy rate optimization for intelligent reflecting surface aided multi‐input‐single‐output terahertz communication
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