• DocumentCode
    2892128
  • Title

    Optimisation of mobile indoor infrared systems through genetic algorithms

  • Author

    Esfahani, M. Nikkar ; Elmirghani, Jaafar

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Univ. of Leeds, Leeds, UK
  • fYear
    2010
  • fDate
    19-22 Sept. 2010
  • Firstpage
    864
  • Lastpage
    868
  • Abstract
    Multi-beam spot diffusing optical wireless systems have been shown to offer performance improvement compared to conventional diffuse systems. In this work, the authors build on the genetic algorithm multi-spot diffuse technique [1] by adaptively optimising the power distribution among the radiating spots. Our goal is to reduce the effect of intersymbol interference and to improve the signal-to-noise ratio (SNR) when the system operates under strong background noise and multipath dispersion. This method can deliver superior SNR and delay spread results compared to other existing systems. This paper also examines the boundaries of the maximum SNR that can be achieved in an indoor wireless system. It is demonstrated that the SNR can improve by as much as 50 dB compared to conventional diffuse systems paving the way for faster and more power efficient communication links.
  • Keywords
    genetic algorithms; indoor radio; interference suppression; intersymbol interference; mobile radio; background noise; genetic algorithms; intersymbol interference; mobile indoor infrared systems; multibeam spot diffuse; multipath dispersion; optical wireless systems; radiating spots; signal-to-noise ratio; Mobile communication; Optical receivers; Optical transmitters; Signal to noise ratio; Wireless communication; Genetic Algorithms; Indoor Communications; Infrared; Optical Communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication Systems (ISWCS), 2010 7th International Symposium on
  • Conference_Location
    York
  • ISSN
    2154-0217
  • Print_ISBN
    978-1-4244-6315-2
  • Type

    conf

  • DOI
    10.1109/ISWCS.2010.5624406
  • Filename
    5624406