Field Trials of a Novel Digital Twin Optical Network Utilizing Incremental Learning Modeling Techniques
A pioneering incremental learning modeling approach for optical network health assessment has been showcased. This method incorporates iteration technology, combining the strengths of multi-modeling techniques and achieves an impressive accuracy of over 97% in trials.
Authors
- Liwei Kuang
- Yucong Liu (ORCID: https://orcid.org/0000-0002-3753-9670)
- Shanguo Huang (ORCID: https://orcid.org/0000-0002-0750-2340)
- Dechao Zhang (ORCID: https://orcid.org/0009-0000-4213-7951)
- Bingli Guo (ORCID: https://orcid.org/0000-0002-5969-0515)
- Dong Wang (ORCID: https://orcid.org/0000-0001-8102-9291)
- Han Li (ORCID: https://orcid.org/0009-0004-3699-1552)
- Yunbo Li (ORCID: https://orcid.org/0009-0008-0642-3641)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- China Mobile (China) (CN)
- Fiberhome Technology Group (China) (CN)
- State Key Laboratory of Information Photonics and Optical Communications
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809856
- Primary Topic
- Advanced Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China