Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2021 > Th4J > Th4J.4

Leveraging ML-based QoT Tool Parameter Feeding for Accurate WDM Network Performance Prediction

Nathalie Morette, Ivan Fernandez de Jauregui Ruiz, and Yvan Pointurier

Not Accessible

Your library or personal account may give you access

Abstract

A novel technique to refine optical fiber network parameters for accurate performance estimation is presented. The technique exploits Raman and Kerr effects to improve new services’ SNR estimation accuracy by 2dB based on experimental data.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
On the Robustness of a ML-based Method for QoT Tool Parameter Refinement in Partially Loaded Networks

Nathalie Morette, Ivan Fernandez de Jauregui Ruiz, Hartmut Hafermann, and Yvan Pointurier
M3F.1 Optical Fiber Communication Conference (OFC) 2022

QoT Estimation Improvement with Inputs Refinement Tool for C+L Networks

Xin Yang, Alessio Ferrari, Nathalie Morette, and Yvan Pointurier
W4G.6 Optical Fiber Communication Conference (OFC) 2023

Predictive Uncertainty Aware Active Learning for Regression-based QoT Estimation in Optical Networks

Zheng Li, Zhiqun Gu, Jiawei Zhang, Yuhang Zhou, and Yuefeng Ji
T2B.4 Asia Communications and Photonics Conference (ACP) 2021

View More...

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads

More Like This
On the Robustness of a ML-based Method for QoT Tool Parameter Refinement in Partially Loaded Networks

Nathalie Morette, Ivan Fernandez de Jauregui Ruiz, Hartmut Hafermann, and Yvan Pointurier
M3F.1 Optical Fiber Communication Conference (OFC) 2022

QoT Estimation Improvement with Inputs Refinement Tool for C+L Networks

Xin Yang, Alessio Ferrari, Nathalie Morette, and Yvan Pointurier
W4G.6 Optical Fiber Communication Conference (OFC) 2023

Predictive Uncertainty Aware Active Learning for Regression-based QoT Estimation in Optical Networks

Zheng Li, Zhiqun Gu, Jiawei Zhang, Yuhang Zhou, and Yuefeng Ji
T2B.4 Asia Communications and Photonics Conference (ACP) 2021

View More...
The impact of parameter uncertainty on QoT estimation using GN-based analytical model

Jing Zhou, Jianing Lu, Chao Lu, and Changyuan Yu
M4A.2 Optoelectronics and Communications Conference (OECC) 2021

Generalizable QoT Estimation Based on Spectral Data Driven LSTM in Exact Component Parameter Agnostic Networks

Lars E. Kruse, Sebastian Kühl, and Stephan Pachnicke
Tu5.41 European Conference and Exhibition on Optical Communication (ECOC) 2022

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