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eess.SP2025
The First Indoor Pathloss Radio Map Prediction Challenge
Stefanos Bakirtzis, Çağkan Yapar, Kehai Qiu +2
To encourage further research and to facilitate fair comparisons in the development of deep learning-based radio propagation models, in the less explored case of directional radio…
eess.SP2024
Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
Stefanos Bakirtzis, Cagkan Yapar, Marco Fiore +2
The efficient deployment and operation of any wireless communication ecosystem rely on knowledge of the received signal quality over the target coverage area. This knowledge is typ…