Please use this identifier to cite or link to this item:
Title: Visible Light Communication With Input-Dependent Noise: Channel Estimation, Optimal Receiver Design and Performance Analysis
Authors: Yaseen, Maysa
Alsmadi, Malek
Canbilen, Ayşe Elif
Ikki, Salama S.
Keywords: Visible Light Communication
Channel Estimation
Light Emitting Diodes
Bit Error Rate
Maximum Likelihood Estimation
Optical Transmitters
Radio Frequency
Visible Light Communication
Input-Dependent Noise
Channel Estimation
Receiver Design
Cramer-Rao Lower Bound
Least Square Estimation
Maximum Likelihood Estimation
Error Performance Analysis
Constellation Design
Capacity Bounds
Issue Date: 2021
Publisher: Ieee-Inst Electrical Electronics Engineers Inc
Abstract: This work investigates single-input single-output (SISO) visible light communication (VLC) when subject to signal-dependent shot noise (SDSN). The topics of discussion include channel estimation and data transmission, where in the former, we introduce both least square (LS) and maximum likelihood (ML) estimators. The Cramer-Rao lower bound (CRLB) of the channel estimation error is also derived. In terms of data transmission, we propose optimal and sub-optimal receiver designs and present their bit error rate (BER) performances. In specific, we derive a closed-form expression of the BER for the sub-optimal receiver and an approximated version for the optimal one. Our analysis indicates that the performance of the CRLB demonstrates no linear relationship with the SDSN, thermal noise, or the fading channel. On the other hand, SDSN has quite a severe effect on the channel estimation error bound, and as such, it can dramatically degrade the BER performance. Heightened performance degradation can also be explained by the joint effects of the channel estimation error and SDSN.
ISSN: 0733-8724
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Show full item record

CORE Recommender


checked on Mar 25, 2023

Page view(s)

checked on Mar 27, 2023


checked on Mar 27, 2023

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.