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    On the input distribution and optimal beamforming for the MISO VLC wiretap channel

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    Type
    Conference Paper
    Authors
    Arfaoui, Mohamed Amine
    Rezki, Zouheir cc
    Ghrayeb, Ali
    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/10754/625018
    
    Metadata
    Show full item record
    Abstract
    We investigate in this paper the achievable secrecy rate of the multiple-input single-output (MISO) visible light communication (VLC) Gaussian wiretap channel with single user and single eavesdropper. We consider the cases when the location of eavesdropper is known or unknown to the transmitter. In the former case, we derive the optimal beamforming in closed form, subject to constrained inputs. In the latter case, we apply robust beamforming. Furthermore, we study the achievable secrecy rate when the input follows the truncated generalized normal (TGN) distribution. We present several examples which demonstrate the substantial improvements in the secrecy rates achieved by the proposed techniques.
    Citation
    Arfaoui MA, Rezki Z, Ghrayeb A, Alouini MS (2016) On the input distribution and optimal beamforming for the MISO VLC wiretap channel. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Available: http://dx.doi.org/10.1109/GlobalSIP.2016.7905986.
    Sponsors
    This work was supported by Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP8-052-2-029. The statements made herein are solely the responsibility of the authors.
    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.2016.7905986
    Additional Links
    http://ieeexplore.ieee.org/document/7905986/
    ae974a485f413a2113503eed53cd6c53
    10.1109/GlobalSIP.2016.7905986
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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