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arXiv · 1812.07254

Machine Learning for QoT Estimation of Unseen Optical Network States

Tania Panayiotou·Giannis Savva·Behnam Shariati·Ioannis Tomkos·Georgios Ellinas
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Abstract

We apply deep graph convolutional neural networks for Quality-of-Transmission estimation of unseen network states capturing, apart from other important impairments, the inter-core crosstalk that is prominent in optical networks operating with multicore fibers.

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Tania Panayiotou, Giannis Savva, Behnam Shariati, Ioannis Tomkos, Georgios Ellinas. 2018-12-18. Machine Learning for QoT Estimation of Unseen Optical Network States. https://doi.org/10.1364/ofc.2019.tu2e.2

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