Performance Versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems

We present the results of the comparative performance-versus-complexity analysis for the several types of artificial neural networks (NNs) used for nonlinear channel equalization in coherent optical communication systems. The comparison is carried out using an experimental set-up with the transmissi...

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Veröffentlicht in:	Journal of lightwave technology Jg. 39; H. 19; S. 6085 - 6096
Hauptverfasser:	Freire, Pedro J., Osadchuk, Yevhenii, Spinnler, Bernhard, Napoli, Antonio, Schairer, Wolfgang, Costa, Nelson, Prilepsky, Jaroslaw E., Turitsyn, Sergei K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Bayesian optimizer coherent detection Communications systems Complexity Computational complexity Computer architecture Convolution digital signal processing Equalization Equalizers Logic gates Multilayers Neural network Neural networks nonlinear equalizer Nonlinear optics Nonlinearity Optical communication optical communications
ISSN:	0733-8724, 1558-2213
Online-Zugang:	Volltext
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