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.
Authors
- Yan Xue (ORCID: https://orcid.org/0000-0002-2771-1887)
- Yameng Cao (ORCID: https://orcid.org/0000-0002-6717-4916)
- Junyao Shi
- Di Zhang (ORCID: https://orcid.org/0000-0001-7194-0591)
Institutions
- East China Normal University (CN)
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
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality