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Conferences > ACPC > 2021 > M5H > M5H.5

Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications

Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn

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Abstract

Addressing the neural network-based optical channel equalizers, we quantify the trade-off between their performance and complexity by carrying out the comparative analysis of several neural network architectures, presenting the results for TWC and SSMF set-ups.

© 2021 The Author(s)

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