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dc.contributor.authorQiao, Jingping
dc.contributor.authorZhang, Chuanting
dc.contributor.authorDong, Anming
dc.contributor.authorBian, Ji
dc.contributor.authorAlouini, Mohamed-Slim
dc.identifier.citationQiao, J., Zhang, C., Dong, A., Bian, J., & Alouini, M.-S. (2022). Securing Intelligent Reflecting Surface Assisted Terahertz Systems. IEEE Transactions on Vehicular Technology, 1–1.
dc.description.abstractThis paper focuses on securing confidential communication in multiple intelligent reflecting surfaces (IRS) assisted terahertz (THz) systems, where a potential eavesdropper can intercept either the base station (BS)-IRS link or the IRS-user link. Notably, the secure transmission may be intercepted and blocked by the eavesdropper due to the blockage-prone nature in THz bands. To characterize the blocking effects of the eavesdropper, the blocking-based path loss is first investigated. With the imperfect eavesdropper channel state information (ECSI), the worst-case secrecy rate (WCSR) is derived, and a joint optimization problem of hybrid beamforming at the BS and reflecting beamforming at the IRS is formulated. For the BS-IRS link eavesdropping, the zero-forcing (ZF) principle-based hybrid beamforming and the closed-form phase shifts of multiple IRSs are respectively proposed. For the IRS-user link eavesdropping, an iterative algorithm is proposed to tackle the non-convex optimization problem with a given information leakage threshold. Finally, a robust secure transmission strategy for multi-eavesdropper systems is further investigated. Simulation results demonstrate that compared with blockage-unaware scenarios, our proposed scheme can resist the adverse effects of the blockage-prone nature of THz waves on information security, and significantly boost secrecy performance.
dc.description.sponsorshipSupported in part by the National Natural Science Foundation of China (No. 61901247, 61701269, 62101311), and Natural Science Foundation of Shandong Province of China (No. ZR2019BF032, ZR2020QF001), and the KAUST Office of Sponsored Research.
dc.rightsArchived with thanks to IEEE Transactions on Vehicular Technology under a Creative Commons license, details at:
dc.subjectPhysical layer security
dc.subjectterahertz communications
dc.subjectmultiple intelligent reflecting surfaces
dc.subjectblocking eavesdropper
dc.subjectimperfect channel state information
dc.titleSecuring Intelligent Reflecting Surface Assisted Terahertz Systems
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentElectrical and Computer Engineering Program
dc.identifier.journalIEEE Transactions on Vehicular Technology
dc.contributor.institutionSchool of Information Science and Engineering, Shandong Normal University, 47856 Jinan, Shandong, China
dc.contributor.institutionDepartment of Electrical & Electronic Engineering, University of Bristol, 1980 Bristol, Bristol, United Kingdom of Great Britain and Northern Ireland
dc.contributor.institutionBig Data Institute & School of Mathematics and Statistics, Qilu University of Technology, 12689 Jinan, Shandong, China
kaust.personQiao, Jingping
kaust.personZhang, Chuanting
kaust.personAlouini, Mohamed-Slim
kaust.acknowledged.supportUnitOffice of Sponsored Research

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Archived with thanks to IEEE Transactions on Vehicular Technology under a Creative Commons license, details at:
Except where otherwise noted, this item's license is described as Archived with thanks to IEEE Transactions on Vehicular Technology under a Creative Commons license, details at: