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    AuthorAlomair, Basel (1)Alouini, Mohamed-Slim (1)
    Chaaban, Anas (1)
    Rezki, Zouheir (1)
    DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division (1)Electrical Engineering Program (1)Journal2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (1)Publisher
    Institute of Electrical and Electronics Engineers (IEEE) (1)
    SubjectArray signal processing (1)
    Fading channels (1)
    MISO (1)
    Receivers (1)
    Signal to noise ratio (1)
    View MoreTypeConference Paper (1)Year (Issue Date)
    2017 (1)
    Item Availability
    Open Access (1)

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    The MISO wiretap channel with channel uncertainty: Asymptotic perspectives

    Chaaban, Anas; Rezki, Zouheir; Alomair, Basel; Alouini, Mohamed-Slim (2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Institute of Electrical and Electronics Engineers (IEEE), 2017-05-12) [Conference Paper]
    The N-antenna MISO Gaussian wiretap channel with imperfect channel-state information at the transmitter (CSIT) is studied in terms of secrecy rate scaling versus the signal-to-noise ratio (SNR) and N. Two schemes are considered, beamforming (BF) and artificial noise injection (AN). It is shown that if the CSIT error is independent of SNR, then both schemes do not achieve scaling versus SNR. However, if this error vanishes as SNR increases, then AN achieves the optimal scaling versus SNR, contrary to BF. Scaling can be achieved in BF by increasing N. In fact, BF achieves the optimal scaling versus N. In the AN scheme however, injecting noise in multiple direction deteriorates its scaling versus N. Nevertheless, AN can achieve the optimal scaling if noise is sent in only one direction. This leads to better performance than BF if the CSIT error is smaller than a threshold which is also derived.
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