Power Equalization with Network Dimension Based on Raman Amplifier in C+L-Band Optical Network
We propose a power equalization with network dimension using reinforcement learning based on Raman amplifier, achieving 1.13 dB average GSNR gain and 0.32 dB standard deviation reduction in C+L-band systems with multiple loads.
Authors
- Yongli Zhao (ORCID: https://orcid.org/0000-0003-3716-8248)
- Roger Ruan (ORCID: https://orcid.org/0000-0001-8835-2649)
- Yingbo Fan (ORCID: https://orcid.org/0009-0009-9276-9549)
- Jia Chen (ORCID: https://orcid.org/0009-0005-0957-1744)
- Jie Zhang (ORCID: https://orcid.org/0000-0001-7750-2197)
- Yajie Li (ORCID: https://orcid.org/0000-0002-8751-7947)
Institutions
- Beijing University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109282
- Primary Topic
- Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00