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

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arxiv 2009.05348 v1 pith:NF7VKTI6 submitted 2020-09-11 eess.SP cs.LGmath.OC

classification eess.SPcs.LGmath.OC
keywords systemmodelmulti-spanpowerc-bandcascadescommunicationcomponent-wise
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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