Physics-based vs ML-based Digital Twins of Submarine Networks

We investigate digital twin approaches to predict subsea link spectrum evolutions and QoT to facilitate spectrum sharing. We focus on a 0.5dB RMSE hybrid model with low complexity and reduced data training set.

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Published
2025-01-01
DOI
https://doi.org/10.1364/ofc.2025.w1c.3
Primary Topic
Optical Network Technologies
Type
article
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article

Physics-based vs ML-based Digital Twins of Submarine Networks

Juliana Tiburcio de Araujo, Alexis Carbó Meseguer, Jean‐Christophe Antona
Optical Network Technologies
article

Physics-based vs ML-based Digital Twins of Submarine Networks

Juliana Tiburcio de Araujo, Alexis Carbó Meseguer, Jean‐Christophe Antona
article en

Abstract

We investigate digital twin approaches to predict subsea link spectrum evolutions and QoT to facilitate spectrum sharing. We focus on a 0.5dB RMSE hybrid model with low complexity and reduced data training set.

Alcatel Lucent (Germany) (DE)
Openalex Percentile: Top 89%
Optical Network Technologies
DOISourceOpenAlex
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Physics-based vs ML-based Digital Twins of Submarine Networks — Juliana Tiburcio de Araujo, Alexis Carbó Meseguer, et al. · (2025) | TGRS Research Map | TGRS