Securing Intelligent Reflecting Surface Assisted Terahertz Systems
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Securing_Intelligent_Reflecting_Surface_Assisted_Terahertz_Systems.pdf
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ArticleKAUST Department
Computer, Electrical and Mathematical Science and Engineering (CEMSE) DivisionElectrical and Computer Engineering Program
Date
2022-05-05Permanent link to this record
http://hdl.handle.net/10754/676669
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This 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.Citation
Qiao, 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. https://doi.org/10.1109/tvt.2022.3172763Sponsors
Supported 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.Publisher
IEEEAdditional Links
https://ieeexplore.ieee.org/document/9769929/https://ieeexplore.ieee.org/document/9769929/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9769929
ae974a485f413a2113503eed53cd6c53
10.1109/TVT.2022.3172763
Scopus Count
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