Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > SPPCom > 2021 > SpM5C > SpM5C.6

Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent Optical Transmission Systems

Pedro J. Freire, Daniel Abode, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn

Not Accessible

Your library or personal account may give you access

Abstract

Transfer learning is proposed to adapt NN-based nonlinear equalizer across different launch powers and modulation formats using a 450km TWC-fiber transmission. The result shows up to 92% reduction in epochs or 90% in the training dataset.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Transfer Learning Aided Neural Networks for Nonlinear Equalization in Short-Reach Direct Detection Systems

Zhaopeng Xu, Chuanbowen Sun, Tonghui Ji, Honglin Ji, and William Shieh
T4D.4 Optical Fiber Communication Conference (OFC) 2020

Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems

Pedro J. Freire, Bernhard Spinnler, Daniel Abode, Jaroslaw E. Prilepsky, Abdallah Ali, Nelson Costa, Wolfgang Schairer, Antonio Napoli, Andrew D. Ellis, and Sergei K. Turitsyn
Th2A.35 Optical Fiber Communication Conference (OFC) 2022

Experimental Study of Deep Neural Network Equalizers Performance in Optical Links

Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Wolfgang Schairer, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn
M3H.2 Optical Fiber Communication Conference (OFC) 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
Transfer Learning Aided Neural Networks for Nonlinear Equalization in Short-Reach Direct Detection Systems

Zhaopeng Xu, Chuanbowen Sun, Tonghui Ji, Honglin Ji, and William Shieh
T4D.4 Optical Fiber Communication Conference (OFC) 2020

Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems

Pedro J. Freire, Bernhard Spinnler, Daniel Abode, Jaroslaw E. Prilepsky, Abdallah Ali, Nelson Costa, Wolfgang Schairer, Antonio Napoli, Andrew D. Ellis, and Sergei K. Turitsyn
Th2A.35 Optical Fiber Communication Conference (OFC) 2022

Experimental Study of Deep Neural Network Equalizers Performance in Optical Links

Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Wolfgang Schairer, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn
M3H.2 Optical Fiber Communication Conference (OFC) 2021

View More...
Modulation Format Recognition based on Transfer Learning for Visible Light Communication Systems

Zhenquan Zhao, Zixian Wei, Zhaoming Wang, Yuan Zhang, Mutong Li, Faisal Nadeem Khan, and H. Y. Fu
JS2B.12 Optoelectronics and Communications Conference (OECC) 2021

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Vladislav Neskorniuk, Fred Buchali, Vinod Bajaj, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, and Vahid Aref
Th1A.30 Optical Fiber Communication Conference (OFC) 2021

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