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Non-linear Equalization in 112 Gb/s PONs Using Kolmogorov-Arnold Networks

Signal Processing 2024-12-02 v1 Machine Learning
Authors: Rodrigo Fischer , Patrick Matalla , Sebastian Randel , Laurent Schmalen
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Abstract

We investigate Kolmogorov-Arnold networks (KANs) for non-linear equalization of 112 Gb/s PAM4 passive optical networks (PONs). Using pruning and extensive hyperparameter search, we outperform linear equalizers and convolutional neural networks at low computational complexity.

Keywords

Kolmogorov-Arnold networks non-linear equalization 112 Gb/s PONs PAM4 pruning hyperparameter optimization

Cite

@article{arxiv.2411.19631,
  title  = {Non-linear Equalization in 112 Gb/s PONs Using Kolmogorov-Arnold Networks},
  author = {Rodrigo Fischer and Patrick Matalla and Sebastian Randel and Laurent Schmalen},
  journal= {arXiv preprint arXiv:2411.19631},
  year   = {2024}
}

Comments

Submitted for possible publication at Optical Fiber Communication Conference (OFC) 2025

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