# Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks

arXiv: https://arxiv.org/abs/2401.09579 · HTML: https://mlsanity.com/paper/2401.09579/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 4 references that are in the map.
- First posted on arXiv 17 Jan 2024.

## Built on by (most cited first, 2 of 2)

- [Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications](https://mlsanity.com/paper/2402.15288/) (2024)
- [Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network](https://mlsanity.com/paper/2405.02609/) (2024)

## Abstract (arXiv)

We demonstrate and evaluate a fully-blind digital signal processing (DSP) chain for 100G passive optical networks (PONs), and analyze different equalizer topologies based on neural networks with low hardware complexity.