Data-Driven Failure Localization in Multi-Core Optical Networks
We demonstrate machine-learning-assisted soft-failure localization using real data from a multi-core optical-network testbed. We achieve localization Accuracy of up to 94% over temporallyordered data considering QoT metrics such as BER and OSNR.
Authors
- Mëmëdhe Ibrahimi (ORCID: https://orcid.org/0000-0002-9823-8206)
- Massimo Tornatore (ORCID: https://orcid.org/0000-0003-0740-1061)
- Francesco Musumeci (ORCID: https://orcid.org/0000-0002-5554-3366)
- Cristian Antonelli (ORCID: https://orcid.org/0000-0002-3353-7889)
- Andrea Marotta (ORCID: https://orcid.org/0000-0003-2426-1902)
- Giammarco Di Sciullo (ORCID: https://orcid.org/0009-0006-8286-2377)
- Giovanni Simone Sticca (ORCID: https://orcid.org/0009-0008-4152-0690)
- Ruben S. Luís (ORCID: https://orcid.org/0000-0002-9862-8386)
- Pasquale Lobaccaro
Institutions
- University of L'Aquila (IT)
- National Institute of Information and Communications Technology (JP)
- Politecnico di Milano (IT)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109176
- Citations
- 1
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 1.63