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/Report/Conference proceedingConference 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
PublisherOptical Society of America
ISBN (Print)9781943580712
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
CountryUnited States
CitySan Diego
Period8/03/1712/03/17

Fingerprint Dive into the research topics of 'Artificial neural network-based compensation for transceiver nonlinearity in probabilistic shaping systems'. Together they form a unique fingerprint.

Cite this