DocumentCode
2092465
Title
A MIMO-ANN system for increasing data rates in organic visible light communications systems
Author
Haigh, Paul Anthony ; Ghassemlooy, Zabih ; Papakonstantinou, Ioannis ; Tedde, Francesco ; Tedde, Sandro F. ; Hayden, Oliver ; Rajbhandari, Sujan
Author_Institution
Opt. Commun. Res. Group, Northumbria Univ., Newcastle upon Tyne, UK
fYear
2013
fDate
9-13 June 2013
Firstpage
5322
Lastpage
5327
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.
Keywords
MIMO communication; data communication; light emitting diodes; neural nets; optical communication; optical receivers; optical transmitters; photodetectors; silicon; telecommunication computing; LED; MIMO-ANN system; OOK; artificial neural network; bit rate 1.8 Mbit/s; bit rate 200 kbit/s; data rates; equalization; gross bit rate; matrix inversion; modulation format; multiple-input multiple-output; on-off keying; organic photodetectors; organic visible light communications systems; receivers; silicon light emitting diodes; transmitters; Artificial neural networks; Histograms; Light emitting diodes; MIMO; Receivers; Silicon; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2013 IEEE International Conference on
Conference_Location
Budapest
ISSN
1550-3607
Type
conf
DOI
10.1109/ICC.2013.6655433
Filename
6655433
Link To Document