Summary
This project develops an innovative radio frequency (RF) signal propagation modeling framework to advance next-generation wireless technologies, including Wi-Fi 7 and sixth-generation cellular networks. These technologies enable critical applications in smart cities, precision agriculture, and smart healthcare by supporting efficient wireless communication and sensing tasks such as human activity recognition and environmental monitoring. A key challenge in data-driven wireless systems is the labor-intensive process of collecting large-scale RF signal datasets for training deep learning models.
