Controllable U-band Raman Gain Shaping by Machine Learning based ASE-Sourced Pump Controller
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:
Hu, Wenxiu; Adamu, Nura; Bottrill, K.R.H; Petropoulos, P.
Inhalt:
We present a technique to generate targeted Raman gain spectra (with an average 0.1% error) based on a neural network that shapes the ASE spectrum of an incoherent (EDFA-based) pump source.