Machine Learning for QoT Estimation of Unseen Optical Network States

Behnam Shariati; Georgios Ellinas; Giannis Savva; Ioannis Tomkos; Tania Panayiotou

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Machine Learning for QoT Estimation of Unseen Optical Network States

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arxiv 1812.07254 v1 pith:XQQ73ZLE submitted 2018-12-18 cs.NI eess.SP

Tania Panayiotou , Giannis Savva , Behnam Shariati , Ioannis Tomkos , Georgios Ellinas This is my paper

classification cs.NIeess.SP

keywords estimationnetworknetworksopticalstatesunseenapartapply

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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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