Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation

This paper introduces a novel methodology for developing low-complexity neural network (NN) based equalizers to address impairments in high-speed coherent optical transmission systems. We present a comprehensive exploration and comparison of deep model compression techniques applied to feed-forward...

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Veröffentlicht in:	Journal of lightwave technology 2023-07, Vol.41 (14), p.4557-4581
Hauptverfasser:	Freire, Pedro J., Napoli, Antonio, Spinnler, Bernhard, Anderson, Michael, Ron, Diego Arguello, Schairer, Wolfgang, Bex, Thomas, Costa, Nelson, Turitsyn, Sergei K., Prilepsky, Jaroslaw E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Back propagation networks Bayesian optimizer Clustering coherent detection Complexity computational complexity Computational modeling Equalizers Fiber nonlinear optics neural network Neural networks nonlinear equalizer Nonlinear optics Optical communication Optical fibers Optimization pruning quantization Symbols
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