Fibre impairment compensation using artificial neural network equalizer for high-capacity coherent optical OFDM signals

M.A. Jarajreh, S. Rajbhandari, E. Giacoumidis, N.J. Doran, Z. Ghassemlooy

Research output: Chapter in Book/Published conference outputConference publication

Abstract

We propose an artificial neural network (ANN) equalizer for transmission performance enhancement of coherent optical OFDM (C-OOFDM) signals. The ANN equalizer showed more efficiency in combating both chromatic dispersion (CD) and single-mode fibre (SMF)-induced non-linearities compared to the least mean square (LMS). The equalizer can offer a 1.5 dB improvement in optical signal-to-noise ratio (OSNR) compared to LMS algorithm for 40 Gbit/s C-OOFDM signals when considering only CD. It is also revealed that ANN can double the transmission distance up to 320 km of SMF compared to the case of LMS, providing a nonlinearity tolerance improvement of ∼0.7 dB OSNR.

Original languageEnglish
Title of host publication2014 9th international symposium on Communication Systems, Networks and Digital Signl Processing, CSNDSP 2014
PublisherIEEE
Pages1112-1117
Number of pages6
ISBN (Print)978-1-4799-2581-0
DOIs
Publication statusPublished - 31 Dec 2014
Event9th IEEE/IET international symposium on Communication Systems, Networks and Digital Signl Processing - Manchester Metropolitan University, Manchester, United Kingdom
Duration: 23 Jul 201425 Jul 2014

Symposium

Symposium9th IEEE/IET international symposium on Communication Systems, Networks and Digital Signl Processing
Abbreviated titleCSNDSP 2014
Country/TerritoryUnited Kingdom
CityManchester
Period23/07/1425/07/14

Bibliographical note

Funding: EU FP7 project DISCUS (Grant Agreement 318137).

Keywords

  • artificial neural networks
  • coherent optical OFDM
  • functional link
  • nonlinear channel equalization
  • optical fibre communication

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