A Probabilistic Low Complexity Digital Twin for Optical Networks

We propose a digital twin framework to assess the parameters' probability distributions instead of simple expected values. We assess its accuracy, and we further show that its complexity scales linearly with the number of parameters.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110058
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
Field-Weighted Citation Impact
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article

A Probabilistic Low Complexity Digital Twin for Optical Networks

Antonio Massaro, Pétros Ramantanis, Davide Rinaldi
Semiconductor Lasers and Optical Devices
article

A Probabilistic Low Complexity Digital Twin for Optical Networks

Antonio Massaro, Pétros Ramantanis, Davide Rinaldi
article en

Abstract

We propose a digital twin framework to assess the parameters' probability distributions instead of simple expected values. We assess its accuracy, and we further show that its complexity scales linearly with the number of parameters.

Openalex Percentile: Top 80%
Semiconductor Lasers and Optical Devices
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A Probabilistic Low Complexity Digital Twin for Optical Networks — Antonio Massaro, Pétros Ramantanis, et al. · (2025) | TGRS Research Map | TGRS