Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2016 > W3A > W3A.4

Experimental Comparison of Artificial Neural Network and Volterra based Nonlinear Equalization for CO-OFDM

E. Giacoumidis, S. T. Le, I. Aldaya, J. L. Wei, M. McCarthy, N. J. Doran, and B. J. Eggleton

Not Accessible

Your library or personal account may give you access

Abstract

A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing ~1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE.

© 2016 Optical Society of America

PDF Article
More Like This
Intra and inter-channel nonlinearity compensation in WDM coherent optical OFDM using artificial neural network based nonlinear equalization4

Elias Giacoumidis, Sofien Mhatli, Jinlong Wei, Son T. Le, Ivan Aldaya, Marc F. C. Stephens, Mary E. MacCarthy, Andrew D. Ellis, Nick J. Doran, and Benjamin J. Eggleton
Th2A.62 Optical Fiber Communication Conference (OFC) 2017

Kerr-Induced Nonlinearity Reduction in Coherent Optical OFDM by Low Complexity Support Vector Machine Regression-based Equalization

E. Giacoumidis, S. Mhatli, T. Nguyen, S. T. Le, I. Aldaya, M.A. McCarthy, and B. J. Eggleton
Th2A.49 Optical Fiber Communication Conference (OFC) 2016

RBF Neural Network Nonlinear Equalizer for CO-OFDM system

Tajammul A. Syed and Kumar K Pradeep
Th3A.49 International Conference on Fibre Optics and Photonics (Photonics) 2016

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use