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

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Sep 17, 2021
Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
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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.

* ORAL presentation at the Asia Communications and Photonics Conference (ACP 2021)  
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