Experimental Validation of Machine Learning-Based Joint Failure Management and Quality of Transmission Estimation

Experimental Validation of Machine Learning-Based Joint Failure Management and Quality of Transmission Estimation

The exponentially growing demand for high-speed data necessitates more complex and versatile networks. Optimization and reliability assurance of such high-complexity networks is getting increasingly important. In this article, we experimentally validate our a machine learning-based framework that co...

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Bibliographic Details
Main Authors: Lars E. Kruse, Sebastian Kuhl, Annika Dochhan, Stephan Pachnicke
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Photonics Journal
Subjects:
Quality of transmission estimation
optical performance monitoring
soft-failures
variational autoencoder
recurrent neural networks
Online Access:https://ieeexplore.ieee.org/document/10319670/

Internet

https://ieeexplore.ieee.org/document/10319670/

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