Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Asia Communications and Photonics Conference (ACP) 2018
  • OSA Technical Digest (Optica Publishing Group, 2018),
  • paper M3D.4

Physical Layer Abstraction Utilizing OSNR Montioring Based on Deep Neural Network

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate a deep neural network (DNN) trained with amplitude histograms (AHs) for optical performance monitoring in a 28-GBd PAM4 based direct detection system. Both simulation and experimental results shows DNN can successfully estimate OSNRs.

© 2018 The Author(s)

PDF Article
More Like This
Joint Modulation Format, Bit-Rate and OSNR Identification Using Cascaded Deep Neural Networks

Yuanxiang Chen, Yongtao Huang, Kaile Li, Yitong Li, and Jianguo Yu
W4I.3 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2018

A Simple Artificial Neural Network Based Joint Modulation Format Identification and OSNR Monitoring Algorithm for Elastic Optical Networks

Qianwu Zhang, Hai Zhou, Min Liu, Jian Chen, and Junjie Zhang
Su2A.147 Asia Communications and Photonics Conference (ACP) 2018

OSNR Monitoring and Modulation Format Recognition Based on Neural Networks and Normalized Autocorrelation Function

Zhuili Huang, Jifang Qiu, Honghang Zhou, Xue Ji, and Jian Wu
W4I.2 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2018

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.