# Low Complexity Convolutional Neural Networks for Equalization in Optical Fiber Transmission

arXiv: https://arxiv.org/abs/2210.05454 · HTML: https://mlsanity.com/paper/2210.05454/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 5 references that are in the map.
- First posted on arXiv 11 Oct 2022.

## Builds on (most cited first, 2 of 2)

- [Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation](https://mlsanity.com/paper/2001.09277/) (2020)
- [Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation](https://mlsanity.com/paper/2010.12313/) (2020)

## Abstract (arXiv)

A convolutional neural network is proposed to mitigate fiber transmission effects, achieving a five-fold reduction in trainable parameters compared to alternative equalizers, and 3.5 dB improvement in MSE compared to DBP with comparable complexity.