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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

5 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 publication2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580712
StatePublished - Mar 2020
Event2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - San Diego, United States
Duration: Mar 8 2020Mar 12 2020

Publication series

Name2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings

Conference

Conference2020 Optical Fiber Communications Conference and Exhibition, OFC 2020
Country/TerritoryUnited States
CitySan Diego
Period03/8/2003/12/20

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