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Conferences > ECEOC > 2022 > Th1C > Th1C.1
  • European Conference on Optical Communication (ECOC) 2022
  • Technical Digest Series (Optica Publishing Group, 2022),
  • paper Th1C.1

Nonlinear Component Equalization: A Comparison of Deep Neural Networks and Volterra Series

Maximilian Schädler, Georg Böcherer, Francesca Diedolo, and Stefano Calabrò

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Abstract

Coherent optical transmission systems suffer from distortions induced by nonlinear components. As a countermeasure, Volterra equalizers and deep neural networks have attracted growing attention. In this paper, optimal objectives to maximize achievable rates as well as performance and complexity aspects are discussed.

© 2022 The Author(s)

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