Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling
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Publication:6348889
arXiv2009.05348MaRDI QIDQ6348889
Author name not available (Why is that?)
Publication date: 11 September 2020
Abstract: 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.
Has companion code repository: https://github.com/myankov/EDFA-data-reading-scripts
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