• DocumentCode
    552302
  • Title

    Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems

  • Author

    Shen, Thomas Shun Rong ; Lau, Alan Pak Tao

  • Author_Institution
    Photonics Res. Center, Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2011
  • fDate
    4-8 July 2011
  • Firstpage
    816
  • Lastpage
    817
  • Abstract
    Extreme learning machine (ELM) is proposed for compensation of impairments caused by fiber nonlinearity in coherent optical communication systems. Simulations show comparable compensation results to backpropagation (BP) while the computation complexity is significantly reduced.
  • Keywords
    backpropagation; computational complexity; light coherence; nonlinear optics; optical fibre communication; telecommunication computing; DSP-based coherent communication systems; coherent optical communication systems; computation complexity; extreme learning machine; fiber nonlinearity compensation; Machine learning; Optical fiber dispersion; Optical fiber networks; Optical fiber polarization; Q factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Opto-Electronics and Communications Conference (OECC), 2011 16th
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-288-2
  • Electronic_ISBN
    978-986-02-8974-9
  • Type

    conf

  • Filename
    6015387