• DocumentCode
    270067
  • Title

    An Efficient Semi-Analytical Method for Modeling of Traveling-Wave and Reflective SOAs

  • Author

    Totović, Angelina R. ; Crnjanski, Jasna V. ; Krstić, Marko M. ; Gvozdić, Dejan M.

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
  • Volume
    32
  • Issue
    11
  • fYear
    2014
  • fDate
    1-Jun-14
  • Firstpage
    2106
  • Lastpage
    2112
  • Abstract
    An efficient semi-analytical method is developed for fast and precise assessment of the steady-state gain characteristics of the semiconductor optical amplifiers. It relies on the analytical solution for the photon densities spatial distribution, starting with the rough estimation without the nonlinear gain suppression, and subsequent refinement of the results by inclusion of the suppression. Carrier density spatial distribution is approximated either by a constant, or a piecewise constant function. Compared with the simplified wideband numerical method, which excludes the photon density spectral dependence, the semi-analytical method requires considerably lower processing resources, and, depending on the model complexity, can be between one and two orders of magnitude faster, without significant sacrifice of the accuracy.
  • Keywords
    carrier density; light reflection; semiconductor optical amplifiers; carrier density spatial distribution; model complexity; photon density spatial distribution; piecewise constant function; reflective SOA; semianalytical method; semiconductor optical amplifiers; steady-state gain characteristics; traveling-wave SOA; Analytical models; Charge carrier density; Equations; Mathematical model; Numerical models; Photonics; Semiconductor optical amplifiers; Numerical method; reflective semiconductor optical amplifier (RSOA); self-consistent iterative method; semi-analytical models; semiconductor device modeling; traveling-wave semiconductor optical amplifier (TW-SOA);
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2014.2317478
  • Filename
    6798663