CNI presents recent work on Aerial DRaGoN at IEEE ICC in Denver

At this year's ICC, multiple CNI activities were presented. Firstly, Melina Geis presented the contents of the paper "Aerial-DRaGon: Machine Learning-based Channel Modeling for Airspace Communication Networks" as part of the Workshop on Emerging Technologies in Aerial and Space Networks. In this paper, a machine learning-based channel model for air-to-ground communication systems was developed, inspired by the original DRaGon concept that has been designed for terrestrial use cases. Here, the focus was on incorporating environmental information in a resource-efficient manner allowing for future embedded platform integration. On the other hand, the CNI, together with the Ruhr University Bochum, showcased current research results developed as part of the 6GEM research hub in the ICC exhibition area. Here, the CNI presented the video demo "AI-driven Network Planning with Deep Learning Propagation Modeling" (tiny.cc/AI-NetPlanner), which shows the automated planning process of private 5G campus networks based on the AI-driven DRaGon channel model and clustering-based network planning.