Real-Time Failure Prediction of ROADMs by GAN-Enhanced Machine Learning

We proposed a novel technique for detecting optical filter shift in ROADMs in optical transmission lines by applying machine learning on DP-16QAM constellation data captured just after Analogue-to-Digital Converters (ADCs) in a digital coherent receiver. For this purpose, we implemented Docker conta...

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Bibliographic Details
Main Authors: Takeshi Naito, Shota Nishijima, Yuichiro Nishikawa, Akira Hirano
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/4/2107
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