The first indoor pathloss radio map prediction challenge
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 …
learning-based radio propagation models, in the less explored case of directional radio …
Empowering wireless network applications with deep learning-based radio propagation models
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 …
knowledge of the received signal quality over the target coverage area. This knowledge is …
Evaluation of Deep Learning U-Net Architectures for Signal-Strength Prediction in Cellular Networks
VDT Tran - 2024 - repositum.tuwien.at
Effective radio network planning requires accurate propagation models that account for
complex behaviors of electromagnetic waves, including scattering, multipath propagation …
complex behaviors of electromagnetic waves, including scattering, multipath propagation …