• DocumentCode
    45236
  • Title

    A Time-Domain Extended Gaussian Noise Model

  • Author

    Serena, Paolo ; Bononi, Alberto

  • Author_Institution
    Dept. of Inf. Eng., Univ. degli Studi di Parma, Parma, Italy
  • Volume
    33
  • Issue
    7
  • fYear
    2015
  • fDate
    April1, 1 2015
  • Firstpage
    1459
  • Lastpage
    1472
  • Abstract
    From first-order perturbation theory, we derive the autocorrelation function of the nonlinear interference in coherent optical links. We show that the fundamental assumptions of the Gaussian noise (GN) model regarding stationary Gaussian statistics of the transmitted signal can be removed for a more complete model accounting for the fine details of the cyclostationary modulation format. We first give an intuitive presentation of the theory, and then provide a formal mathematical treatment based on symbol cumulants and discuss its key assumptions and limitations. The proposed model includes dual polarization effects, wavelength-division multiplexing and the nonlinear signal to amplified spontaneous emission noise interaction along the line, thus neglecting only the impact of four-wave mixing.
  • Keywords
    Gaussian noise; higher order statistics; light interference; light polarisation; optical links; optical modulation; perturbation theory; time-domain analysis; wavelength division multiplexing; GN model; Time-Domain Extended Gaussian noise model; autocorrelation function; coherent optical links; cyclostationary modulation format; dual polarization effects; first-order perturbation theory; formal mathematical treatment; four-wave mixing; nonlinear interference; nonlinear signal; spontaneous emission noise interaction; stationary Gaussian statistics; symbol cumulants; wavelength-division multiplexing; Dispersion; Mathematical model; Modulation; Noise; Numerical models; Optical fiber communication; Predictive models; Cumulants; GN Model; GN model; Nonlinear Interference; nonlinear interference;
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2015.2398873
  • Filename
    7029018