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

Cascade Recurrent Neural Network Enabled 100-Gb/s PAM4 Short-Reach Optical Link Based on DML

Not Accessible

Your library or personal account may give you access


A cascade RNN-based equalizer is proposed which outperforms traditional NN-based equalizers for short-reach optical links. A cascade RNN-enabled 100-Gb/s PAM4 link is experimentally demonstrated over 15-km fiber using a 16-GHz DML in C-band.

© 2020 The Author(s)

PDF Article
More Like This
Investigation on the Impact of Additional Connections to Feedforward Neural Networks for Equalization in PAM4 Short-Reach Direct Detection Links

Zhaopeng Xu, Chuanbowen Sun, Tonghui Ji, Shuangyu Dong, Xian Zhou, and William Shieh
S4I.1 Asia Communications and Photonics Conference (ACPC) 2020

Sparsely-Connected Cascade Recurrent Neural Network-Based Nonlinear Equalizer for a 100-Gb/s PAM4 Optical Interconnect

Zhaopeng Xu, Shuangyu Dong, Chenxin Jiang, Jonathan H. Manton, and William Shieh
M5H.4 Asia Communications and Photonics Conference (ACPC) 2021

High-efficient Equalizer based on the simplified Deep Neural Network for 56Gb/s/λ PAM-4 in C-band 10G DML-based Short reach system

Yu Xi, Chenyu Wang, Xin Miao, Meihua Bi, and Weisheng Hu
M4A.324 Asia Communications and Photonics Conference (ACPC) 2020


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Poster Presentation

Media 1: PDF (747 KB)     
Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved