A MIMO-ANN system for increasing data rates in organic visible light communications systems

Paul Anthony Haigh, Zabih Ghassemlooy, Ioannis Papakonstantinou, Francesco Tedde, Sandro Francesco Tedde, Oliver Hayden, Sujan Rajbhandari

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

26 Citations (Scopus)

Abstract

This paper presents the first ever experimental demonstration of a multiple-input multiple-output (MIMO) visible light communications system employing four silicon (Si) light emitting diodes (LEDs) and four organic photodetectors (OPDs) as transmitters and receivers, respectively. The proposed link is relatively low cost and it employs the on-off keying (OOK) modulation format offering a data rate of 200 kb/s without the need for equalization, which is a significant increase compared with previous non-equalized systems. In order to speed up date rates further, we implement an artificial neural network (ANN) to classify the signal and correct the error induced by the matrix inversion at the receiver, allowing a gross bit rate of 1.8 Mb/s in the best case.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
Pages5322-5327
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013

Conference

Conference2013 IEEE International Conference on Communications, ICC 2013
CountryHungary
CityBudapest
Period9/06/1313/06/13

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