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    Secure transmission for intelligent reflecting surface-assisted mmWave and terahertz systems

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    Secure transmission.pdf
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Qiao, Jingping cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2020-06-18
    Online Publication Date
    2020-06-18
    Print Publication Date
    2020-10
    Submitted Date
    2020-04-17
    Permanent link to this record
    http://hdl.handle.net/10754/665686
    
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    Abstract
    This letter focuses on the secure transmission for an intelligent reflecting surface (IRS)-assisted millimeter-wave (mmWave) and terahertz (THz) system, in which a base station (BS) communicates with its destination via an IRS, in the presence of a passive eavesdropper. To maximize the system secrecy rate, the transmit beamforming at the BS and the reflecting matrix at the IRS are jointly optimized with transmit power and discrete phase-shift constraints. It is first proved that the beamforming design is independent of the phase shift design under the rank-one channel assumption. The formulated non-convex problem is then converted into two subproblems, which are solved alternatively. Specifically, the closed-form solution of transmit beamforming at the BS is derived, and the semidefinite programming (SDP)-based method and element-wise block coordinate descent (BCD)-based method are proposed to design the reflecting matrix. The complexity of our proposed methods is analyzed theoretically. Simulation results reveal that the proposed IRS-assisted secure strategy can significantly boost the secrecy rate performance, regardless of eavesdropper's locations (near or blocking the confidential beam).
    Citation
    Qiao, J., & Alouini, M.-S. (2020). Secure Transmission for Intelligent Reflecting Surface-Assisted mmWave and Terahertz Systems. IEEE Wireless Communications Letters, 9(10), 1743–1747. doi:10.1109/lwc.2020.3003400
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Wireless Communications Letters
    DOI
    10.1109/LWC.2020.3003400
    arXiv
    2005.13451
    Additional Links
    https://ieeexplore.ieee.org/document/9120206/
    ae974a485f413a2113503eed53cd6c53
    10.1109/LWC.2020.3003400
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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