Ultrafast Predictions of Power Evolution and Gain Spectra in Bidirectional-Pumped Fiber Raman Amplifiers Employing Neural Networks-based Solvers
Konferenz: ECOC 2024 - 50th European Conference on Optical Communication
22.09.2024-26.09.2024 in Frankfurt, Germany
Tagungsband: ITG-Fb. 317: ECOC 2024
Seiten: 4Sprache: EnglischTyp: PDF
Autoren:
Zhang, Li; Pincemin, Erwan; Genay, Naveena; Zibar, Darko
Inhalt:
We show that the learned neural networks-based solver of Raman amplifier (RA) equations enables ultrafast and accurate power evolution and gain spectra predictions in bidirectional-pumped RAs over the C-band.