• DocumentCode
    112003
  • Title

    A Simple and Effective Closed-Form GN Model Correction Formula Accounting for Signal Non-Gaussian Distribution

  • Author

    Poggiolini, Pierluigi ; Bosco, Gabriella ; Carena, Andrea ; Curri, Vittorio ; Yanchao Jiang ; Forghieri, Fabrizio

  • Author_Institution
    Dipt. di Elettron. e Telecomun., Politec. di Torino, Turin, Italy
  • Volume
    33
  • Issue
    2
  • fYear
    2015
  • fDate
    Jan.15, 15 2015
  • Firstpage
    459
  • Lastpage
    473
  • Abstract
    The GN model of nonlinear fiber propagation has been shown to overestimate the variance of nonlinearity due to the signal Gaussianity approximation, leading to maximum reach predictions for realistic optical systems, which may be pessimistic by about 5% to 15%, depending on fiber type and system setup. Analytical corrections have been proposed, which, however, substantially increase the model complexity. In this paper, we provide a simple closed-form GN model correction formula, derived from the EGN model, which we show to be quite effective in correcting for the GN model tendency to overestimate nonlinearity. The formula also permits to clearly identify the correction dependence on key system parameters, such as span length and loss.
  • Keywords
    Gaussian distribution; nonlinear optics; optical fibre losses; EGN model; analytical corrections; correction dependence; effective closed-form GN model correction formula; fiber type; key system parameters; loss; maximum reach predictions; model complexity; nonlinear fiber propagation; nonlinearity variance; realistic optical systems; signal Gaussianity approximation; signal nonGaussian distribution; simple closed-form GN model correction formula; span length; system setup; Adaptive optics; Approximation methods; Modulation; Noise; Optical fiber dispersion; Optical fibers; Predictive models; Coherent systems; EGN model; GN model; Optical transmission; coherent systems; optical transmission;
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2014.2387891
  • Filename
    7000514