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Explainable Machine Learning-enabled Just-enough Margin Configurations in Dynamic S+C+L-band Optical Networks

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Abstract

We configure an explainable machine learning-enabled just-enough margin for each lightpath in dynamic S+C+L-band optical networks. Explainable decisions improve blocking ratio and spectral efficiency performances by 35.9% and 17.2% compared with the benchmarks.

© 2023 The Author(s)

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