SAMA-IR: comprehensive input refinement methodology for optical networks with field-trial validation
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
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| _version_ | 1866913650849087488 |
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| author | Zhang, Yihao Qiu, Qizhi Liu, Xiaomin Wu, Jiaping Yi, Lilin Hu, Weisheng Zhuge, Qunbi |
| author_facet | Zhang, Yihao Qiu, Qizhi Liu, Xiaomin Wu, Jiaping Yi, Lilin Hu, Weisheng Zhuge, Qunbi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_16863 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SAMA-IR: comprehensive input refinement methodology for optical networks with field-trial validation Zhang, Yihao Qiu, Qizhi Liu, Xiaomin Wu, Jiaping Yi, Lilin Hu, Weisheng Zhuge, Qunbi Optics 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. |
| title | SAMA-IR: comprehensive input refinement methodology for optical networks with field-trial validation |
| topic | Optics |
| url | https://arxiv.org/abs/2412.16863 |