Machine Learning for QoT Estimation of Unseen Optical Network States

12/18/2018

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by   Tania Panayiotou, et al.

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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.