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Machine Learning for QoT Estimation of Unseen Optical Network States
December 18, 2018 Β· Declared Dead Β· π Optical Fiber Communications Conference and Exhibition
"No code URL or promise found in abstract"
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Authors
Tania Panayiotou, Giannis Savva, Behnam Shariati, Ioannis Tomkos, Georgios Ellinas
arXiv ID
1812.07254
Category
cs.NI: Networking & Internet
Cross-listed
eess.SP
Citations
38
Venue
Optical Fiber Communications Conference and Exhibition
Last Checked
6 months ago
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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