5G Positioning Advancements with AI/ML

TL;DR

This paper reviews AI/ML-based direct positioning in 5G, emphasizing its potential in challenging scenarios and discussing solutions for measurement, data, and model management to improve accuracy.

Contribution

It provides a comprehensive overview of AI/ML techniques in 5G positioning, building on TR38.843 insights and highlighting advancements in challenging environments.

Findings

Simulation results show improved positioning accuracy in difficult conditions.

Key solutions enhance measurement reporting and data management.

Insights support development of robust 5G positioning systems.

Abstract

This paper provides a comprehensive review of AI/ML-based direct positioning within 5G systems, focusing on its potential in challenging scenarios and conditions where conventional methods often fall short. Building upon the insights from the technical report TR38.843, we examine the Life Cycle Management (LCM) with a focus on to the aspects associated direct positioning process. We highlight significant simulation results and key observations from the report on the direct positioning under the various challenging conditions. Additionally, we discuss selected solutions that address measurement reporting, data collection, and model management, emphasizing their importance for advancing direct positioning.