Implementing Deep Neural Network for Signal Transmission Distortion Mitigation of PAM-4 Generated by Silicon Mach-Zehnder Modulator

Yung Hsu, Chun Yen Chuang, Yeyu Tong, Chi Wai Chow, Jyehong Chen, Yin Chieh Lai, Chien Hung Yeh, Young Kai Chen, Hon Ki Tsang

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

3 Scopus citations

Abstract

We propose and demonstrate a distortion mitigation of 50-Gbitls PAM-4 signal generated by a silicon-based Mach-Zehnder-modulator (SiMZM) after 20-km single-mode-fiber transmission via deep-neural-network (DNN). The implementation of a 2-layer DNN is discussed.

Original languageEnglish
Title of host publicationOECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784885523212
DOIs
StatePublished - Jul 2019
Event24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019 - Fukuoka, Japan
Duration: 7 Jul 201911 Jul 2019

Publication series

NameOECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019

Conference

Conference24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019
Country/TerritoryJapan
CityFukuoka
Period7/07/1911/07/19

Keywords

  • deep neural network
  • Fiber optics communications
  • silicon photonics

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