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Combining efficient probabilistic shaping and deep neural network to mitigate capacity crunch in 5G fronthaul

  • Qi Zhou
  • , Rui Zhang
  • , You Wei Chen
  • , Shuyi Shen
  • , Shang Jen Su
  • , Jeffrey Finkelstein
  • , Gee Kung Chang
  • Georgia Institute of Technology
  • Cox Communications, Inc.

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

1 Scopus citations

Abstract

We experimentally demonstrate a capacity-approaching transmission in 5G fronthaul utilizing PS-PAM8 and DNN. An 80-Gb/s over 20-km SSMF transmission performance is realized with a beyond 7.3-dB gross gain over uniform PAM modulations with linear post-equalization.

Original languageEnglish
Title of host publicationOptical Fiber Communication Conference, OFC 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580712
DOIs
StatePublished - 2020
EventOptical Fiber Communication Conference, OFC 2020 - San Diego, United States
Duration: Mar 8 2017Mar 12 2017

Publication series

NameOptics InfoBase Conference Papers
VolumePart F174-OFC 2020
ISSN (Electronic)2162-2701

Conference

ConferenceOptical Fiber Communication Conference, OFC 2020
Country/TerritoryUnited States
CitySan Diego
Period03/8/1703/12/17

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