TY - JOUR
T1 - Artificial Noise-Based Beamforming for the MISO VLC Wiretap Channel
AU - Arfaoui, Mohamed Amine
AU - Zaid, Hajar
AU - Rezki, Zouheir
AU - Ghrayeb, Ali
AU - Chaaban, Anas
AU - Alouini, Mohamed Slim
N1 - Publisher Copyright:
© 1972-2012 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - This paper investigates the secrecy performance of the multiple-input single-output visible light communication (VLC) wiretap channel. The considered system model comprises three nodes: a transmitter (Alice) equipped with multiple fixtures of LEDs, a legitimate receiver (Bob), and an eavesdropper (Eve), each equipped with one photo-diode. The VLC channel is modeled as a real-valued amplitude-constrained Gaussian channel. Eve is assumed to be randomly located in the same area as Bob. Due to this, artificial noise-based beamforming is adopted as a transmission strategy in order to degrade Eve's signal-to-noise ratio. Assuming discrete input signaling, we derive an achievable secrecy rate in a closed-form expression as a function of the beamforming vectors and the input distribution. We investigate the average secrecy performance of the system using stochastic geometry to account for the location randomness of Eve. We also adopt the truncated discrete generalized normal (TDGN) as a discrete input distribution. We present several examples through which we confirm the accuracy of the analytical results via Monte Carlo simulations. The results also demonstrate that the TDGN distribution, albeit being not optimal, yields performance close to the secrecy capacity.
AB - This paper investigates the secrecy performance of the multiple-input single-output visible light communication (VLC) wiretap channel. The considered system model comprises three nodes: a transmitter (Alice) equipped with multiple fixtures of LEDs, a legitimate receiver (Bob), and an eavesdropper (Eve), each equipped with one photo-diode. The VLC channel is modeled as a real-valued amplitude-constrained Gaussian channel. Eve is assumed to be randomly located in the same area as Bob. Due to this, artificial noise-based beamforming is adopted as a transmission strategy in order to degrade Eve's signal-to-noise ratio. Assuming discrete input signaling, we derive an achievable secrecy rate in a closed-form expression as a function of the beamforming vectors and the input distribution. We investigate the average secrecy performance of the system using stochastic geometry to account for the location randomness of Eve. We also adopt the truncated discrete generalized normal (TDGN) as a discrete input distribution. We present several examples through which we confirm the accuracy of the analytical results via Monte Carlo simulations. The results also demonstrate that the TDGN distribution, albeit being not optimal, yields performance close to the secrecy capacity.
KW - Achievable secrecy rate
KW - MISO
KW - TDGN
KW - VLC
KW - beamforming
KW - stochastic geometry
UR - http://www.scopus.com/inward/record.url?scp=85059263505&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2018.2889649
DO - 10.1109/TCOMM.2018.2889649
M3 - Article
AN - SCOPUS:85059263505
SN - 1558-0857
VL - 67
SP - 2866
EP - 2879
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 4
M1 - 8589021
ER -