Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2023 > W4H > W4H.4

Digital Twin of Unrepeatered Line Based on Raman and Remote Optically Pumped Amplifier Machine Learning Models

Arthur Minakhmetov, Benjamin Prieur, Maël Le Monnier, Delphine Rouvillain, and Bruno Lavigne

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate an accurate digital representation of an unrepeatered line based on separate measurement-based machine learning models of Remote Optically Pumped Amplifier and Raman amplification. We assess the accuracy via OSNR measurements in the line.

© 2023 The Author(s)

PDF Article  |   Presentation Video
More Like This
Machine learning-based Raman amplifier design

D. Zibar, A. Ferrari, V. Curri, and A. Carena
M1J.1 Optical Fiber Communication Conference (OFC) 2019

New remote pump scheme enabling high-capacity (3.2 Tb/s) unrepeatered C + L band transmission over 220 km

R. E. Neuhauser, N. E. Hecker-Denschlag, E. Gottwald, C. Fuerst, A. Faerbert, H. Rohde, and B. Lankl
TuR2 Optical Fiber Communication Conference (OFC) 2002

Machine learning enabled Raman amplifiers

D. Zibar, U. C. de Moura, A. M. Rosa Brusin, A. Carena, and F. Da Ros
ci_1_3 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 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
Machine learning-based Raman amplifier design

D. Zibar, A. Ferrari, V. Curri, and A. Carena
M1J.1 Optical Fiber Communication Conference (OFC) 2019

New remote pump scheme enabling high-capacity (3.2 Tb/s) unrepeatered C + L band transmission over 220 km

R. E. Neuhauser, N. E. Hecker-Denschlag, E. Gottwald, C. Fuerst, A. Faerbert, H. Rohde, and B. Lankl
TuR2 Optical Fiber Communication Conference (OFC) 2002

Machine learning enabled Raman amplifiers

D. Zibar, U. C. de Moura, A. M. Rosa Brusin, A. Carena, and F. Da Ros
ci_1_3 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2021

View More...
Experimental Prediction and Design of Ultra-Wideband Raman Amplifiers Using Neural Networks

Xiaoyan Ye, Aymeric Arnould, Amirhossein Ghazisaeidi, Dylan Le Gac, and Jeremie Renaudier
W1K.3 Optical Fiber Communication Conference (OFC) 2020

Disaggregated Optical Network Orchestration based on the Physical Layer Digital Twin

Giacomo Borraccini, Renato Ambrosone, Alessio Giorgetti, Stefano Straullu, Francesco Aquilino, Emanuele Virgillito, Andrea D’Amico, Rocco D’Ingillo, Nicola Sambo, Filippo Cugini, and Vittorio Curri
Tu3D.4 Optical Fiber Communication Conference (OFC) 2023

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