• 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