112 Gb/s CAP-based Data Transmission over 100 m MMF Links using an Artificial Neural Network Equalizer

X. Dong, N. Bamiedakis, D. G. Cunningham, R. V. Penty, I. H. White

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel artificial neural network equalizer for use in short-reach optical links is proposed. 112Gb/s and 56Gb/s CAP-16 data transmission are demonstrated by simulation and experiment respectively with receiver sensitivities of -4 and -7 dBm.

Original languageEnglish
Title of host publication2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
PublisherOSA Publishing
ISBN (Electronic)9781943580576
DOIs
Publication statusPublished - 1 May 2019
Event2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, USA United States
Duration: 5 May 201910 May 2019

Publication series

NameTechnical Digest (Conference on Lasers and Electro-Optics)
PublisherOSA-IEEE
ISSN (Print)2160-9098

Conference

Conference2019 Conference on Lasers and Electro-Optics, CLEO 2019
CountryUSA United States
CitySan Jose
Period5/05/1910/05/19

ASJC Scopus subject areas

  • Spectroscopy
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Management, Monitoring, Policy and Law
  • Electronic, Optical and Magnetic Materials
  • Radiology Nuclear Medicine and imaging
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

Dong, X., Bamiedakis, N., Cunningham, D. G., Penty, R. V., & White, I. H. (2019). 112 Gb/s CAP-based Data Transmission over 100 m MMF Links using an Artificial Neural Network Equalizer. In 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings [SM1G.3] (Technical Digest (Conference on Lasers and Electro-Optics)). OSA Publishing. https://doi.org/10.1364/CLEO_SI.2019.SM1G.3