SAMA-IR: Comprehensive Input Refinement Methodology for Optical Networks with Field-Trial Validation
We propose a novel input refinement methodology incorporating sensitivity analysis and memory-aware weighting for jointly refining numerous diverse inputs. Field trials show ~2.5 dB and ~2.3 dB improvements in Q-factor and power estimation, respectively.
Authors
- Lilin Yi (ORCID: https://orcid.org/0000-0002-6039-9063)
- Weisheng Hu (ORCID: https://orcid.org/0000-0002-6168-2688)
- Yihao Zhang (ORCID: https://orcid.org/0009-0005-3640-6998)
- Qunbi Zhuge (ORCID: https://orcid.org/0000-0002-2437-0220)
- Qizhi Qiu
- Xiaomin Liu (ORCID: https://orcid.org/0009-0003-3440-3166)
- Jiaping Wu
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Published
- 2025-05-06
- DOI
- https://doi.org/10.23919/ondm65745.2025.11029347
- Citations
- 4
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 6.54
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University