• DocumentCode
    741330
  • Title

    A Fast Method for Launch Parameter Optimization in Long-Haul Dispersion-Managed Optical Links

  • Author

    Almeida, T. ; Drummond, M. ; Pavlovic, N. ; Andre, P. ; Nogueira, R.

  • Author_Institution
    Instituto de Telecomunica????es, Campus Universit??rio de Santiago, Aveiro, Portugal
  • Volume
    33
  • Issue
    20
  • fYear
    2015
  • Firstpage
    4303
  • Lastpage
    4310
  • Abstract
    A new, fast, and simple methodology for optimizing the launch parameters in a long-haul dispersion-managed links is proposed. With this new, simple method, it is possible to quickly predict both the optimum launch power and optimum predispersion compensation values, as opposed to methods based on the numerical integration of the nonlinear Schrodinger equation, which are complex and computationally demanding. This methodology uses the Gaussian noise model for optimal launch power prediction and it is complemented with an ideal predispersion prediction tool based on the analysis of the dispersion map. Realistic scenarios up to 2423.2 km of propagation were simulated and the results were compared with those of a commercial software tool. The results obtained by the simulations, in this paper, show that this methodology accurately predicts the correct launch parameters in few seconds, drastically reducing computational times when compared with conventional methodologies. A maximum mismatch of 0.9 dB in predicted optimal launch power between both methodologies was obtained, as well as very accurate predictions made the newly developed predispersion prediction tool, which calculates a predispersion value that optimizes the Q factor of the validation scenario.
  • Keywords
    Mathematical model; Numerical models; Optical fiber dispersion; Optimization; Predictive models; Software; Dispersion Managed Link; Dispersion managed link; Gaussian Noise Model; Gaussian noise model; Launch Power; Pre-dispersion; launch power; pre-dispersion;
  • fLanguage
    English
  • Journal_Title
    Lightwave Technology, Journal of
  • Publisher
    ieee
  • ISSN
    0733-8724
  • Type

    jour

  • DOI
    10.1109/JLT.2015.2474818
  • Filename
    7239518