Learned Volterra Equalization for WDM Systems

Nelson Castro, Stylianos Sygletos

Research output: Chapter in Book/Published conference outputConference publication

Abstract

We propose a learned MIMO Volterra scheme for mitigating Kerr-based intra- and inter-channel nonlinearity in WDM systems. We demonstrate a 1.2 dB improvement of the SNR over single-channel nonlinear equalization at two steps per span.
Original languageEnglish
Title of host publication2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)
PublisherIEEE
ISBN (Electronic)979-8-3503-1261-4
ISBN (Print)979-8-3503-1262-1
DOIs
Publication statusPublished - 1 Jan 2024
Event2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM) - Wuhan, China
Duration: 4 Nov 20237 Nov 2023

Publication series

Name2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)
PublisherIEEE

Conference

Conference2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)
Country/TerritoryChina
CityWuhan
Period4/11/237/11/23

Keywords

  • Volterra series
  • machine learning
  • nonlinearity equalization
  • optical fiber systems

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