• DocumentCode
    1781841
  • Title

    Performance of nonlinear amplitude regenerators in optical networks

  • Author

    Marhic, Michel ; Namiki, Shu

  • Author_Institution
    Coll. of Eng., Swansea Univ., Swansea, UK
  • fYear
    2014
  • fDate
    6-10 July 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We investigate theoretically and by simulations the performance of chains of amplitude regenerators. The combination of a transmission fiber followed by a regenerator is modelled by a two-step process: (i) the output amplitude y of a signal is obtained from its input value x by means of the relation y = g(x); (ii) noise is added as a random variable. We first investigate the performance of a single and multiple regenerator in the absence of noise. It is then possible to regenerate signals indefinitely without any degradation. However, with added noise, we find that signal quality must necessarily drop as the number of stages increases. Yet the increase is slow, and the BER values relatively low; hence such a chain of regenerators can outperform a chain of linear amplifiers under certain circumstances. An advantage of this approach is that it provides a clear visualization of the evolution of the noise pdf along the chain, which yields insights into the design of effective amplitude regenerators.
  • Keywords
    error statistics; optical fibre networks; optical repeaters; BER values; linear amplifiers; multiple regenerator; nonlinear amplitude regenerators; optical networks; random variable; single regenerator; transmission fiber; two-step process; Bit error rate; Optical fiber amplifiers; Optical fiber networks; Probability density function; Repeaters; Signal to noise ratio; amplitude regeneration; long-haul networks; optical networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transparent Optical Networks (ICTON), 2014 16th International Conference on
  • Conference_Location
    Graz
  • Type

    conf

  • DOI
    10.1109/ICTON.2014.6876489
  • Filename
    6876489