Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling

Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.

Saved in:
Bibliographic Details
Published in2020 European Conference on Optical Communications (ECOC) pp. 1 - 4
Main Authors Yankov, Metodi P., de Moura, Uiara Celine, da Ros, Francesco
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2020
Subjects
Erbium-doped fiber amplifiers
Optical fiber communication
Optimization
Predictive models
Raman scattering
Real-time systems
Systems modeling
Online AccessGet full text

Cover

More Information
Summary:Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.
DOI:10.1109/ECOC48923.2020.9333255