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

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.

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Published
2025-01-01
DOI
https://doi.org/10.1364/ofc.2025.w4h.5
Primary Topic
Optical Network Technologies
Type
article
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article

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

Patrick Matalla, Laurent Schmalen, Sebastian Randel, Robert F. H. Fischer
Optical Network Technologies
article

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

Patrick Matalla, Laurent Schmalen, Sebastian Randel, Robert F. H. Fischer
article en

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.

Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 89%
Optical Network Technologies
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Non-linear Equalization in 112 Gb/s PONs Using Kolmogorov-Arnold Networks — Patrick Matalla, Laurent Schmalen, et al. · (2025) | TGRS Research Map | TGRS