Digital Twin for Estimating QoT Statistics in Presence of PDL and Transceiver Imperfections

TL;DR

This paper introduces a physics-based digital twin model that accurately predicts the statistical quality of transmission (QoT) in optical networks, accounting for PDL and transceiver imperfections, with significant accuracy improvements.

Contribution

The paper presents a novel digital twin approach that enhances QoT prediction accuracy by incorporating realistic physical impairments in optical lightpaths.

Findings

Up to 0.73 dB accuracy improvement in worst-case SNR prediction

Effective modeling of PDL and transceiver imperfections in digital twin

Improved reliability of optical network performance estimation

Abstract

We propose a physics-based digital twin to predict the statistical QoT distribution of a realistic optical lightpath. We demonstrate up to 0.73 dB accuracy improvement in worst-case SNR prediction for short distance transmissions in linear regime.