An ultra-fast method for gain and noise prediction of Raman amplifiers

A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.

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Hauptverfasser: Brusin, Ann Margareth Rosa, Curri, Vittorio, Zibar, Darko, Carena, Andrea
Format: Artikel
Sprache:eng
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Zusammenfassung:A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE < 0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.
DOI:10.48550/arxiv.1905.00596