Single-channel 1.61 Tb/s optical coherent transmission enabled by neural network-based digital pre-distortion

V. Bajaj, Fred Buchali, Mathieu Chagnon, S. Wahls, Vahid Aref

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

46 Citations (Scopus)
231 Downloads (Pure)

Abstract

We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate optical coherent transmitters. We demonstrate experimentally that it outperforms an optimized linear DPD giving a 1.2 dB SNR gain in a 128GBaud PCS-256QAM single-channel transmission over 80km of standard single-mode fiber resulting in a record 1.61 Tb/s net data rate.
Original languageEnglish
Title of host publicationProceedings 2020 European Conference on Optical Communications (ECOC2020)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Number of pages4
ISBN (Electronic)978-1-7281-7361-0
DOIs
Publication statusPublished - 2020
EventEuropean Conference on Optical Communications 2020 - Online - Brussels, Belgium
Duration: 6 Dec 202010 Dec 2020

Conference

ConferenceEuropean Conference on Optical Communications 2020 - Online
Abbreviated titleECOC 2020
Country/TerritoryBelgium
CityBrussels
Period6/12/2010/12/20

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