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

Abstract

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 (ACP) 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 (ACP) 2021

Performance and Computational Complexity Evaluation for Neural Network-Based Short-Reach Optical Links

Zhaopeng Xu, Chuanbowen Sun, Jonathan H. Manton, and William Shieh
C1F_3 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2020

Poster Presentation

Media 1: PDF (747 KB)     
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved