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    The MISO wiretap channel with channel uncertainty: Asymptotic perspectives

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    MISO_Wiretap_Imperfect_Main_CSI.pdf
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    Type
    Conference Paper
    Authors
    Chaaban, Anas cc
    Rezki, Zouheir cc
    Alomair, Basel
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-05-12
    Online Publication Date
    2017-05-12
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/623754
    
    Metadata
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    Abstract
    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.
    Citation
    Chaaban A, Rezki Z, Alomair B, Alouini M-S (2016) The MISO wiretap channel with channel uncertainty: Asymptotic perspectives. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Available: http://dx.doi.org/10.1109/GlobalSIP.2016.7905984.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
    Conference/Event name
    2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
    DOI
    10.1109/GlobalSIP.2016.7905984
    Additional Links
    http://ieeexplore.ieee.org/document/7905984/
    ae974a485f413a2113503eed53cd6c53
    10.1109/GlobalSIP.2016.7905984
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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