Cascaded - Neural- Networks-Enabled Failure Localization in High-Degree Clos-ROADM Optical Networks
Targeting failure localization in high-degree Clos-ROADM optical networks, we propose a cascaded-neural-networks-based algorithm (Ca-NN). Results show that it achieves satisfactory accuracy under different numbers of service requests, percentages of OPMs and types of failure components.
Authors
- Qiaolun Zhang (ORCID: https://orcid.org/0000-0002-7012-950X)
- Jiawei Zhang (ORCID: https://orcid.org/0000-0003-1377-7938)
- Ruikun Wang (ORCID: https://orcid.org/0000-0002-9139-6439)
- Zhiqun Gu (ORCID: https://orcid.org/0000-0003-4293-9107)
- Yuqing Song (ORCID: https://orcid.org/0009-0006-3885-2219)
- Yuefeng Ji
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
- Politecnico di Milano (IT)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809410
- Primary Topic
- Advanced Photonic Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00