Modeling and Measuring 6G Communication Channels for Future Urban Mobile Networks Using Machine Learning

Funding: Bundesministerium für Digitales und Verkehr
Contact: Abidur Rahman, M.Sc.
Start: 02.05.2025
As 6G technologies continue to advance, the need to accurately monitor and manage wireless signal behavior in complex urban environments becomes increasingly critical. Under the umbrella of the Hanseatic (formerly Hamburg) Wireless Innovation Competence Center (HAWICC), one of four locations nationwide of the German Center for Future Mobility (DZM), funded by the Federal Ministry for Digital and Transport, the “Next Generation City Networking” (NGCN) project aims to explore an innovative solution using wave field synthesis for future mobility, enabling high-bandwidth, low-latency wireless communication. As part of the NGCN project, this research focuses on developing advanced mobile field measurement techniques for radio channels in realistic communication environments. Vast amounts of data provided by drones and fixed 6G antennas are collected and analyzed using machine learning techniques, allowing the system to adjust wave propagation and signal parameters for optimal performance. The work includes the design of mobile sensors, modeling of wireless channels, and validation of the system in real-world test environments. The results support future applications in emergency communications, intelligent transportation infrastructure, and reliable in-city connectivity requiring accurate and stable coverage.