Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2024 > Th2A > Th2A.16

End-to-end QoT Predictions enhanced by GNPy-based Digital Twin with Network Telemetry

S. Shen, H. Li, A. Tyrovolas, Y. Teng, R. Nejabati, S. Yan, and D. Simeonidou

Not Accessible

Your library or personal account may give you access

Abstract

Digital twin for dynamic optical networks is implemented using GNPy, network telemetry and databases. It enhances ML-based End-to-End QoT predictions in field trials by supporting model pre-training and minimizing data requirements through the AI engine.

© 2024 The Author(s)

PDF Article
More Like This
986 km Field Trial of Cascaded ANN-based Link-Penalty Models for QoT Prediction

R. Yang, S. Shen, H. Li, Z. Shi, R. Wang, R. Nejabati, S. Yan, and D. Simeonidou
W4G.5 Optical Fiber Communication Conference (OFC) 2023

Network-wide QoT Estimation Using SGD with Gradient Transfer Between Wavelengths

Kayol S. Mayer, Jonathan A. Soares, Marcos P. A. Dal Maso, Christian E. Rothenberg, Dalton S. Arantes, and Darli A. A. Mello
M1H.7 Optical Fiber Communication Conference (OFC) 2024

TAPI-based Telemetry Streaming in Multi-domain Optical Transport Network

Vignesh Karunakaran, Carlos Natalino, Behnam Shariati, Piotr Lechowicz, Johannes Karl Fischer, Achim Autenrieth, Paolo Monti, and Thomas Bauschert
M3Z.9 Optical Fiber Communication Conference (OFC) 2024

View More...

Poster Presentation

Media 1: PDF (631 KB)     
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use