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

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.

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