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The Perks of Using Machine Learning for QoT Estimation with Uncertain Network Parameters

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Abstract

We compare the resilience to network parameters uncertainty between a GN-model based QoT tool and ML-based ones. We study the mean square error of the estimated G-OSNR and a novel metric based on the overestimation probability.

© 2020 The Author(s)

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