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Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling (2009.05348v1)
Published 11 Sep 2020 in eess.SP, cs.LG, and math.OC
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.