Huang Lin

Huang Lin

Machine Learning Engineer and Researcher working on model development, LLM evaluation, and data analysis.

Building 5G Fingerprint Datasets for Accurate Indoor Positioning

Published in IEEE Future Networks World Forum, 2022

Building 5G Fingerprint Datasets for Accurate Indoor Positioning preview
Published IEEE Future Networks World Forum

This paper presents a 3D ray-tracing-based simulation framework for generating near-realistic 5G MIMO fingerprint datasets. The generated data supports machine learning model training and evaluation for indoor positioning tasks.

5G MIMO Ray Tracing Indoor Positioning Dataset Generation
Paper All Research

Citation

Lin, H., Purmehdi, H., Zhao, Y., & Peng, W. (2022). IEEE Future Networks World Forum.