# Centimeter Positioning Accuracy using AI/ML for 6G Applications

arXiv: https://arxiv.org/abs/2406.14458 · HTML: https://mlsanity.com/paper/2406.14458/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 9 references that are in the map.
- First posted on arXiv 20 Jun 2024.

## Builds on (most cited first, 1 of 1)

- [Positioning and Sensing in 6G: Gaps, Challenges, and Opportunities](https://mlsanity.com/paper/2211.01183/) (2022)

## Built on by (most cited first, 1 of 1)

- [On the Application of Deep Learning for Precise Indoor Positioning in 6G](https://mlsanity.com/paper/2410.19436/) (2024)

## Abstract (arXiv)

This research looks at using AI/ML to achieve centimeter-level user positioning in 6G applications such as the Industrial Internet of Things (IIoT). Initial results show that our AI/ML-based method can estimate user positions with an accuracy of 17 cm in an indoor factory environment. In this proposal, we highlight our approaches and future directions.