English

SAMA-IR: comprehensive input refinement methodology for optical networks with field-trial validation

Optics 2025-01-16 v2

Abstract

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.

Keywords

Cite

@article{arxiv.2412.16863,
  title  = {SAMA-IR: comprehensive input refinement methodology for optical networks with field-trial validation},
  author = {Yihao Zhang and Qizhi Qiu and Xiaomin Liu and Jiaping Wu and Lilin Yi and Weisheng Hu and Qunbi Zhuge},
  journal= {arXiv preprint arXiv:2412.16863},
  year   = {2025}
}

Comments

3 pages, 2 figures

R2 v1 2026-06-28T20:45:23.422Z