Zone-Fingerprinting for Indoor Localization in 5G Networks

This technical report discusses the Zone-Fingerprinting method for indoor localization, particularly in 5G environments. The primary objective is to enhance the accuracy of locating users within large areas, specifically targeting at-risk workers in hospitals and office settings. The report outlines the limitations of traditional fingerprinting techniques, which often lead to inaccuracies due to similar signal strengths in various locations. To address these challenges, the authors propose a novel approach that focuses on identifying the exact zone of a user rather than predicting a single point. The integration of Zone-Fingerprinting with Pedestrian Dead Reckoning (PDR) is presented as a means to refine user positioning within these zones. The report details the experimental setup conducted in both hospital and office environments using a private 5G network, demonstrating that the proposed method offers improved reliability over conventional fingerprinting. The findings suggest that this approach could significantly enhance indoor localization services in critical applications.