Nonlinear impairment compensation using neural networks

Shinsuke Fujisawa, Fatih Yaman, Hussam G. Batshon, Massaki Tanio, Naoto Ishii, Chaoran Huang, Thomas Ferreira de Lima, Yoshihisa Inada, Paul R. Prucnal, Norifumi Kamiya, Ting Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neural networks are attractive for nonlinear impairment compensation applications in communication systems. In this paper, several approaches to reduce computational complexity of the neural network-based algorithms are presented.

Original languageEnglish (US)
Title of host publicationOptical Fiber Communication Conference, OFC 2021
PublisherThe Optical Society
ISBN (Electronic)9781557528209
StatePublished - 2021
EventOptical Fiber Communication Conference, OFC 2021 - Virtual, Online, United States
Duration: Jun 6 2021Jun 11 2021

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceOptical Fiber Communication Conference, OFC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period6/6/216/11/21

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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