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

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 th...

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Bibliographic Details
Published in:Journal of lightwave technology 2015-10, Vol.33 (20), p.4303-4310
Main Authors: Almeida, T., Drummond, M., Pavlovic, N., Andre, P., Nogueira, R.
Format: Article
Language:English
Subjects:
Dispersion Managed Link
Gaussian Noise Model
Launch Power
Mathematical model
Numerical models
Optical fiber dispersion
Optimization
Pre-dispersion
Predictive models
Software
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Summary: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.
ISSN:0733-8724
1558-2213
DOI:10.1109/JLT.2015.2474818