Convolutional neural network based nonlinear classifier for 112-Gbps high speed optical link

Chun Yen Chuang, Li Chun Liu, Chia Chien Wei*, Jun Jie Liu, Lindor Henrickson, Wan Jou Huang, Chih Lin Wang, Young Kai Chen, Jye-Hong Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

We have designed a novel convolutional neural network based nonlinear classifier that outperforms traditional Volterra nonlinear equalizers. A BER of 3.50 × 10 -6 is obtained for a 112-Gbps PAM4 EML-based optical link over 40-km SMF transmission.

Original languageEnglish
Title of host publication2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781943580385
DOIs
StatePublished - 13 Jun 2018
Event2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - San Diego, United States
Duration: 11 Mar 201815 Mar 2018

Publication series

Name2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings

Conference

Conference2018 Optical Fiber Communications Conference and Exposition, OFC 2018
CountryUnited States
CitySan Diego
Period11/03/1815/03/18

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