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dc.contributor.authorArfaoui, Mohamed Amine
dc.contributor.authorRezki, Zouheir
dc.contributor.authorGhrayeb, Ali
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-06-14T12:17:34Z
dc.date.available2017-06-14T12:17:34Z
dc.date.issued2017-05-12
dc.identifier.citationArfaoui 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.
dc.identifier.doi10.1109/GlobalSIP.2016.7905986
dc.identifier.urihttp://hdl.handle.net/10754/625018
dc.description.abstractWe 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.
dc.description.sponsorshipThis 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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7905986/
dc.subjectArray signal processing
dc.subjectEigenvalues and eigenfunctions
dc.subjectMISO
dc.subjectOptimization
dc.subjectRadio frequency
dc.subjectRobustness
dc.subjectSecurity
dc.titleOn the input distribution and optimal beamforming for the MISO VLC wiretap channel
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
dc.conference.date2016-12-07 to 2016-12-09
dc.conference.name2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
dc.conference.locationWashington, DC, USA
dc.contributor.institutionTexas A&M University at Qatar
dc.contributor.institutionUniversity of Idaho
kaust.personAlouini, Mohamed-Slim


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