Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Vladislav Neskorniuk, Fred Buchali, Vinod Bajaj, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Vahid Aref

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

3 Citations (Scopus)

Abstract

We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver nonlinearities for high-symbol-rate coherent short-reach links. Providing about 0.9 dB extra SNR gain, it allows achieving experimentally the record single-channel 1.48 Tbps net rate over 240 km G.652 fiber.

Original languageEnglish
Title of host publicationProceedings of the Optical Fiber Communications Conference and Exhibition, OFC 2021
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Number of pages3
ISBN (Electronic)978-1-943580-86-6
Publication statusPublished - 2021
Event2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - San Francisco, United States
Duration: 6 Jun 202111 Jun 2021

Conference

Conference2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
Country/TerritoryUnited States
CitySan Francisco
Period6/06/2111/06/21

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