• DocumentCode
    1760482
  • Title

    Modeling of Nonlinear Signal Distortion in Fiber-Optic Networks

  • Author

    Johannisson, Pontus ; Agrell, Erik

  • Author_Institution
    Dept. of Microtechnol. & Nanosci., Chalmers Univ. of Technol., Gothenburg, Sweden
  • Volume
    32
  • Issue
    23
  • fYear
    2014
  • fDate
    Dec.1, 1 2014
  • Firstpage
    4544
  • Lastpage
    4552
  • Abstract
    A low-complexity model for signal quality prediction in a nonlinear fiber-optic network is developed. The model, which builds on the Gaussian noise model, takes into account the signal degradation caused by a combination of chromatic dispersion, nonlinear signal distortion, and amplifier noise. The center frequencies, bandwidths, and transmit powers can be chosen independently for each channel, which makes the model suitable for analysis and optimization of resource allocation and routing in large-scale optical networks applying flexible-grid wavelength-division multiplexing.
  • Keywords
    Gaussian noise; communication complexity; nonlinear optics; optical fibre dispersion; optical fibre networks; optical noise; telecommunication channels; telecommunication network routing; wavelength division multiplexing; Gaussian noise model; amplifier noise; chromatic dispersion; flexible-grid wavelength-division multiplexing; large-scale optical network routing; low-complexity model; nonlinear fiber-optic network; nonlinear signal distortion; resource allocation optimization; signal degradation; signal quality prediction; Approximation methods; Frequency modulation; Mathematical model; Nonlinear optics; Optical distortion; Optical receivers; Wavelength division multiplexing; Fiber nonlinear optics; Optical fiber communication; Optical fiber networks; Wavelength division multiplexing; optical fiber communication; optical fiber networks; wavelength-division multiplexing (WDM);
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2014.2361357
  • Filename
    6915838