PhD Position on Channel Modeling and Prediction for 6G Non-Terrestrial Wireless Networks

The sixth-generation (6G) mobile communications are expected to provide seamless wireless coverage by incorporating aerial and space communication nodes such as drones, high-altitude platforms, and satellites to assist terrestrial networks. To realize the vision, wireless channels play an indispensable role in the design and deployment of integrated terrestrial and non-terrestrial networks, in which air-ground and space-ground channels are more challenging to model, considering mobility, altitude, frequency, and environment. 

This project will focus on both the fundamental theory and practical implementation of channel modeling. The preliminary drawn-up directions can include but are not limited to i) UAV channel measurement and modeling, ii) Geometry-based non-stationary channel modeling, iii) Deterministic channel simulation by ray tracing, and iv) Machine-learning-based propagation channel prediction. This project will consist of both analytical and experimental work. The Networked Systems lab has fully operational drones, and USRPs, as well as a 64-antenna Massive MIMO testbed, facilitating researchers to conduct proof-of-concept experiments.