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Artificial neural network-based compensation for transceiver nonlinearity in probabilistic shaping systems

  • Tu T. Nguyen*
  • , Tingting Zhang
  • , Mahmood Abu-Romoh
  • , Andrew Ellis
  • *Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Artificial neural network for transceiver nonlinearity compensation in dual-polarization probabilistically shaped 28 GBaud systems is experimentally investigated with achieved SNR performance gain up to 1 dB.

Original languageEnglish
Title of host publicationOptical Fiber Communication Conference, OFC 2020
DOIs
Publication statusPublished - 12 Mar 2020
EventOptical Fiber Communication Conference, OFC 2020 - San Diego, United States
Duration: 8 Mar 201712 Mar 2017

Publication series

NameOptics InfoBase Conference Papers
VolumePart F174-OFC 2020

Conference

ConferenceOptical Fiber Communication Conference, OFC 2020
Country/TerritoryUnited States
CitySan Diego
Period8/03/1712/03/17

Funding

Acknowledgements: This work was supported by the UK EPSRC - Grants EP/S003436/1, EP/R035342/1 & EP/M009092/1. The data underlying this publication can be found at http://researchdata.aston.ac.uk/439/

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