Unsupervised hierarchical clustering for blind nonlinear equalization in WDM coherent optical OFDM

Elias Giacoumidis, Amir Matin, Jinlong Wei, Nick J. Doran, Xu Wang

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

Abstract

We experimentally demonstrate the first Hierarchical clustering-based blind nonlinear equalizer for QPSK WDM-CO-OFDM. Hierarchical clustering outperforms to full-step digitalback propagation and artificial neural networks at 3200 km by up to 1.5 and 1.1 dB, respectively.

Original languageEnglish
Title of host publicationAsia Communications and Photonics Conference 2017
PublisherOptical Society of America
ISBN (Electronic)9781943580347
DOIs
Publication statusPublished - 10 Nov 2017
Event2017 Asia Communications and Photonics Conference - Guangzhou, Guangdong, China
Duration: 10 Nov 201713 Nov 2017

Conference

Conference2017 Asia Communications and Photonics Conference
CountryChina
CityGuangzhou, Guangdong
Period10/11/1713/11/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Giacoumidis, E., Matin, A., Wei, J., Doran, N. J., & Wang, X. (2017). Unsupervised hierarchical clustering for blind nonlinear equalization in WDM coherent optical OFDM. In Asia Communications and Photonics Conference 2017 [Su4C.4] Optical Society of America. https://doi.org/10.1364/ACPC.2017.Su4C.4