Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2023 > M1F > M1F.4

FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training

Keren Liu, Erik Börjeson, Christian Häger, and Per Larsson-Edefors

Not Accessible

Your library or personal account may give you access

Abstract

We design and implement an adaptive machine learning equalizer that alternates multiple linear and nonlinear computational layers on an FPGA. On-chip training via gradient backpropagation is shown to allow for real-time adaptation to time-varying channel impairments.

© 2023 The Author(s)

PDF Article  |   Presentation Video
More Like This
Machine Learning Training in Silicon Photonic Circuits

Guangwei Cong, Noritsugu Yamamoto, Takashi Inoue, Yuriko Maegami, Morifumi Ohno, Shota Kita, Shu Namiki, and Koji Yamada
FM6D.2 Frontiers in Optics (FiO) 2023

Generalization Capabilities of Machine Learning-based PDM Equalization

Samuel Lennard, Fabio A. Barbosa, and Filipe M. Ferreira
PS.11 British and Irish Conference on Optics and Photonics (BICOP) 2023

Machine Learning Techniques Applied to System Characterization and Equalization

Darko Zibar, Jakob Thrane, Jesper Wass, Rasmus Jones, Molly Piels, and Christian Schaeffer
Tu3K.1 Optical Fiber Communication Conference (OFC) 2016

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 Training in Silicon Photonic Circuits

Guangwei Cong, Noritsugu Yamamoto, Takashi Inoue, Yuriko Maegami, Morifumi Ohno, Shota Kita, Shu Namiki, and Koji Yamada
FM6D.2 Frontiers in Optics (FiO) 2023

Generalization Capabilities of Machine Learning-based PDM Equalization

Samuel Lennard, Fabio A. Barbosa, and Filipe M. Ferreira
PS.11 British and Irish Conference on Optics and Photonics (BICOP) 2023

Machine Learning Techniques Applied to System Characterization and Equalization

Darko Zibar, Jakob Thrane, Jesper Wass, Rasmus Jones, Molly Piels, and Christian Schaeffer
Tu3K.1 Optical Fiber Communication Conference (OFC) 2016

View More...
Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems

Pedro J. Freire, Michael Anderson, Bernhard Spinnler, Thomas Bex, Jaroslaw E. Prilepsky, Tobias A. Eriksson, Nelson Costa, Wolfgang Schairer, Michaela Blott, Antonio Napoli, and Sergei K. Turitsyn
We1C.2 European Conference and Exhibition on Optical Communication (ECOC) 2022

FPGA Implementation of Deep Neural Network Based Equalizers for High-Speed PON

Noriaki Kaneda, Ziyi Zhu, Chun-Yen Chuang, Amitkumar Mahadevan, Bob Farah, Keren Bergman, Doutje Van Veen, and Vincent Houtsma
T4D.2 Optical Fiber Communication Conference (OFC) 2020

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