We present an analytical model based on the uncertainty propagation theory for the generalized signal-to-noise ratio (GSNR) error estimation at the output of an optical line system due to connector loss and amplifier gain ripple uncertainties. The results are validated by comparison with a Monte Carlo analysis, showing an excellent agreement in terms of estimated GSNR average and standard deviation.

Statistical Analysis of GSNR Fluctuations Due to Physical Layer Uncertainties / Borraccini, Giacomo; D'Amico, Andrea; Carena, Andrea; Curri, Vittorio. - ELETTRONICO. - (2021). ((Intervento presentato al convegno 25th International Conference on Optical Network Design and Modelling, ONDM 2021 tenutosi a Gothenburg, Sweden nel June 28 - July 1, 2021.

Statistical Analysis of GSNR Fluctuations Due to Physical Layer Uncertainties

Giacomo Borraccini;Andrea D’Amico;Andrea Carena;Vittorio Curri
2021

Abstract

We present an analytical model based on the uncertainty propagation theory for the generalized signal-to-noise ratio (GSNR) error estimation at the output of an optical line system due to connector loss and amplifier gain ripple uncertainties. The results are validated by comparison with a Monte Carlo analysis, showing an excellent agreement in terms of estimated GSNR average and standard deviation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2922016