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Mastering Parameter Uncertainty in Monitoring-Enabled Optical Networks using Bayesian Inference

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Abstract

We refine optical network parameters by jointly leveraging the components’ a priori information and the monitored quality of transmission. The updated uncertainty and correlation properties can be used in design tools to establish new lightpaths.

© 2021 The Author(s)

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