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Centimeter Positioning Accuracy using AI/ML for 6G Applications

Sai Prasanth Kotturi, Radha Krishna Ganti

Abstract

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.

Centimeter Positioning Accuracy using AI/ML for 6G Applications

Abstract

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.
Paper Structure (7 sections, 2 figures)

This paper contains 7 sections, 2 figures.

Table of Contents

  1. Introduction
  2. Indoor Positioning Enhancement Using Direct AI/ML Methods
  3. Indoor Factory System Model
  4. Proposed Approach
  5. Experimental setup
  6. Experimental Results
  7. Design Considerations for AI/ML-based Positioning

Figures (2)

  • Figure 1: Indoor Factory Layout: Big dots represent fixed TRP locations, while smaller dots indicate uniformly distributed UE positions.
  • Figure 2: CDF of Inference Horizontal Positioning Error (m)