Joint Three-Task Optical Performance Monitoring with High Performance and Generalizability Using a Meta-Learning Algorithm in WDM Transmissions

We propose a meta-learning CNN-attention algorithm for joint three-task optical performance monitoring using IQ signal feature histogram data, demonstrating high performance in single-channel transmissions and excellent generalizability in five-channel WDM transmissions, outperforming the traditional transfer learning algorithm.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icicc63565.2024.10780686
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint Three-Task Optical Performance Monitoring with High Performance and Generalizability Using a Meta-Learning Algorithm in WDM Transmissions

Yan Xue, Yameng Cao, Junyao Shi, Di Zhang
Optical Network Technologies
article

Joint Three-Task Optical Performance Monitoring with High Performance and Generalizability Using a Meta-Learning Algorithm in WDM Transmissions

Yan Xue, Yameng Cao, Junyao Shi, Di Zhang
article en

Abstract

We propose a meta-learning CNN-attention algorithm for joint three-task optical performance monitoring using IQ signal feature histogram data, demonstrating high performance in single-channel transmissions and excellent generalizability in five-channel WDM transmissions, outperforming the traditional transfer learning algorithm.

East China Normal University (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 80%
Optical Network Technologies
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