Upgrading Wi-Fi fingerprinting to 5G. A hybrid simulation case

Abstract

This research project is an extensive study of the upgrading process of fingerprinting technology from 2.4 GHz to 5G mmWave FR2, with the primary location being a secondary school environment. The work aims to evaluate and identify optimal combinations of existing 2.4 GHz Wi-Fi, 5 GHz Wi-Fi, and emerging 5G mmWave FR2 technologies to enhance indoor localization systems. Leveraging advanced simulation software, the study explores various scenarios to achieve the most effective integration of these technologies. Early results indicate that the adoption of 5G technology faces considerable challenges in overcoming signal loss through walls, a problem less significant in the current Wi-Fi technologies. Nevertheless, it is preliminarily suggested that these barriers can be mitigated by a large-scale deployment of 5G access points (AP’s). Further research is ongoing to refine the findings and develop practical recommendations for deployment in similar environments. This study holds significant implications for the design of future indoor localization systems, particularly as the global infrastructure transitions towards more sophisticated 5G networks