Machine Learning for QoT Estimation of Unseen Optical Network States
Place of publicationSan Diego
Source2019 Optical Fiber Communications Conference and Exhibition (OFC)
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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.