We experimentally validate a machine learning-enabled Raman amplification framework, capable of jointly shaping the signal power evolution in two domains: frequency and fiber distance. The proposed experiment addresses the amplification in the whole C-band, by optimizing four first-order counter-propagating Raman pumps.

Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers / Soltani, M.; Da Ros, F.; Carena, A.; Zibar, D.. - ELETTRONICO. - (2022). (Intervento presentato al convegno 2022 European Conference on Optical Communication, ECOC 2022 tenutosi a Basel, Switzerland nel 18-22 September 2022).

Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers

Carena A.;
2022

Abstract

We experimentally validate a machine learning-enabled Raman amplification framework, capable of jointly shaping the signal power evolution in two domains: frequency and fiber distance. The proposed experiment addresses the amplification in the whole C-band, by optimizing four first-order counter-propagating Raman pumps.
2022
978-1-957171-15-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2984831