Title :
A 20-Mb/s VLC Link With a Polymer LED and a Multilayer Perceptron Equalizer
Author :
Haigh, Paul Anthony ; Bausi, Francesco ; Kanesan, T. ; Son Thai Le ; Rajbhandari, Sujan ; Ghassemlooy, Zabih ; Papakonstantinou, Ioannis ; Popoola, Wasiu ; Burton, Andy ; Hoa Le Minh ; Ellis, A.D. ; Cacialli, Franco
Author_Institution :
Fac. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK
Abstract :
This letter experimentally demonstrates a visible light communication system using a 350-kHz polymer light-emitting diode operating at a total bit rate of 19 Mb/s with a bit error rate (BER) of 10-6 and 20 Mb/s at the forward error correction limit for the first time. This represents a remarkable net data rate gain of ~55 times. The modulation format adopted is ON-OFF keying in conjunction with an artificial neural network classifier implemented as an equalizer. The number of neurons used in the experiment is varied from the set N = {5, 10, 20, 30, 40} with 40 neurons offering the best performance at 19 Mb/s and the BER of 10-6.
Keywords :
error statistics; forward error correction; multilayer perceptrons; neural nets; optical communication equipment; optical links; optical modulation; organic light emitting diodes; visible spectra; VLC link; artificial neural network classifier; bit error rate; bit rate 10 Mbit/s to 6 Mbit/s; bit rate 19 Mbit/s; bit rate 20 Mbit/s; forward error correction limit; frequency 350 kHz; modulation format; multilayer perceptron equalizer; polymer LED; polymer light-emitting diode; visible light communication system; Artificial neural networks; Bandwidth; Bit error rate; Equalizers; Neurons; Polymers; Training; Artificial neural network; bit error rate; equalizers; organic light emitting diodes; visible light communications;
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2014.2343692
