Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Recurrent Neural Network Equalizer to Extend Input Power Dynamic Range of SOA in 100Gb/s/λ PON

Not Accessible

Your library or personal account may give you access

Abstract

We propose a novel equalization scheme for 100Gb/s/λ PAM4 PON based on Gated Recurrent Neural Network to increase SOA preamplifier input power dynamic range tolerance to 30 dB below hard-decision FEC BER limit of 3.8×10−3.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
High Dynamic Range 100 Gbit/s PAM4 PON with SOA Preamplifier using Gated Recurrent Neural Network Equaliser

Stephen Murphy, Fariba Jamai, Paul D. Townsend, and Cleitus Antony
Th1C.6 European Conference and Exhibition on Optical Communication (ECOC) 2022

Recurrent Neural Network based Equalizer with Embedded Parallelization for 100Gbps/λ PON

Xiaoan Huang, Dongxu Zhang, Xiaofeng Hu, Chenhui Ye, and Kaibin Zhang
M3G.2 Optical Fiber Communication Conference (OFC) 2021

4x75-Gbit/s Optically Amplified WDM-PON with Beyond 31-dB Power Budget Employing PAM-4 Transmission and a Recurrent Neural Network

Ahmed Galib Reza, Marcos Troncoso-Costas, Liam P. Barry, and Colm Browning
Tu1C.2 European Conference and Exhibition on Optical Communication (ECOC) 2022

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
High Dynamic Range 100 Gbit/s PAM4 PON with SOA Preamplifier using Gated Recurrent Neural Network Equaliser

Stephen Murphy, Fariba Jamai, Paul D. Townsend, and Cleitus Antony
Th1C.6 European Conference and Exhibition on Optical Communication (ECOC) 2022

Recurrent Neural Network based Equalizer with Embedded Parallelization for 100Gbps/λ PON

Xiaoan Huang, Dongxu Zhang, Xiaofeng Hu, Chenhui Ye, and Kaibin Zhang
M3G.2 Optical Fiber Communication Conference (OFC) 2021

4x75-Gbit/s Optically Amplified WDM-PON with Beyond 31-dB Power Budget Employing PAM-4 Transmission and a Recurrent Neural Network

Ahmed Galib Reza, Marcos Troncoso-Costas, Liam P. Barry, and Colm Browning
Tu1C.2 European Conference and Exhibition on Optical Communication (ECOC) 2022

Experimental Demonstration of 200 Gb/s/λ Coherent PON with a Low-Complexity Receiver and a Multi-purpose Neural Network

Dongxu Zhang, Xiaofeng Hu, Xiaoan Huang, and Kaibin Zhang
Th3E.4 Optical Fiber Communication Conference (OFC) 2022

A Sparse-Readout Reservoir-Computing Based Equalizer for 100 Gb/s/λ PON

Xiaoan Huang, Dongxu Zhang, Xiaofeng Hu, and Kaibin Zhang
Tu5.46 European Conference and Exhibition on Optical Communication (ECOC) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.