TY - GEN
T1 - On the input distribution and optimal beamforming for the MISO VLC wiretap channel
AU - Arfaoui, Mohamed Amine
AU - Rezki, Zouheir
AU - Ghrayeb, Ali
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.
PY - 2017/5/12
Y1 - 2017/5/12
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/625018
UR - http://ieeexplore.ieee.org/document/7905986/
UR - http://www.scopus.com/inward/record.url?scp=85019268518&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2016.7905986
DO - 10.1109/GlobalSIP.2016.7905986
M3 - Conference contribution
SN - 9781509045457
SP - 970
EP - 974
BT - 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -