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

TL;DR

This paper introduces SAMA-IR, a comprehensive input refinement method for optical networks that uses sensitivity analysis and memory-aware weighting, validated through field trials showing significant improvements in Q-factor and power estimation.

Contribution

The paper presents a novel input refinement methodology combining sensitivity analysis and memory-aware weighting, validated with real-world field trials.

Findings

~2.5 dB improvement in Q-factor

~2.3 dB enhancement in power estimation

Validated through real-world field trials

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.