Leveraging the SNR Statistics to Pinpoint an Anomalous PDL Element in Optical Links
We propose to locate an anomalous PDL utilizing SNR statistics collected by a single receiver with a machine-learning classifier, achieving 96.33 % test accuracy and validating experimentally with only 1 misclassification when PDL exceeding 1.5 dB.
Authors
- Fabien Boitier
- Patricia Layec (ORCID: https://orcid.org/0000-0001-8994-4136)
- Pétros Ramantanis (ORCID: https://orcid.org/0000-0001-6552-6503)
- Isaia Andrenacci (ORCID: https://orcid.org/0000-0002-9627-1686)
- Lin Shi (ORCID: https://orcid.org/0000-0003-2318-4669)
Institutions
- Nokia (France) (FR)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10810012
- Primary Topic
- Photonic and Optical Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00