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.
Titolo: | Statistical Analysis of GSNR Fluctuations Due to Physical Layer Uncertainties | |
Autori: | ||
Data di pubblicazione: | 2021 | |
Abstract: | We present an analytical model based on the uncertainty propagation theory for the generalized si...gnal-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. | |
ISBN: | 978-3-903176-33-1 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/2922016