Accuracy Enhancement of an Optical Network Digital Twin Based on Open-Source Field Data

TL;DR

This paper presents a two-stage hybrid QoT model for optical network digital twins, significantly improving SNR prediction accuracy by calibrating key parameters using open-source field data.

Contribution

The paper introduces a novel two-stage hybrid QoT model that enhances digital twin accuracy for optical networks through partial parameter calibration.

Findings

SNR prediction accuracy improved by over 200%

Model validated on recent open-source field data

Partial calibration effectively enhances digital twin fidelity

Abstract

We propose a two-stage hybrid QoT model for twinning a real transport network and evaluate it on recently published field data. Accounting for partial calibration of key parameters, we improve the SNR prediction accuracy by more than a factor of two.