In his presentation, Siekmann presented the scientific paper “Public 5G-Aided Robust Smartphone GNSS Localization in Challenging Environments,” which was developed in collaboration with Bielefeld University. The aim of the publication is to significantly improve the accuracy of classic GNSS positioning (e.g., GPS) using public 5G mobile data and artificial intelligence—especially in areas where GPS signals are disrupted or blocked, such as in city centers, urban canyons, or industrial environments.

The 5G network measurement technology used for this purpose was developed at the Fraunhofer Institute in Lemgo and provides realistic training and interference data for the AI algorithms at Bielefeld University. The result: more robust and reliable positioning for smartphones, navigation applications, industrial logistics, and autonomous systems.

During his stay in India, Siekmann also took the opportunity to use his special measurement technology to analyze the mobile network quality of the Indian network operator Vi India. The results—especially in comparison to German networks—are currently being incorporated into a further evaluation.

Municipalities, cities, or industrial parks that would like to learn more about independent mobile network measurements and network analyses can contact us for a no-obligation consultation.

Visit our networking experts in person—at PMR EXPO or directly on site at Future Networks—Hall 7, Booth A062.