no code implementations • 12 Jan 2024 • Fabian Jaensch, Giuseppe Caire, Begüm Demir
Over the last years, several works have explored the application of deep learning algorithms to determine the large-scale signal fading (also referred to as ``path loss'') between transmitter and receiver pairs in urban communication networks.
no code implementations • 11 Oct 2023 • Çağkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
To foster research and facilitate fair comparisons among recently proposed pathloss radio map prediction methods, we have launched the ICASSP 2023 First Pathloss Radio Map Prediction Challenge.
no code implementations • 28 Nov 2022 • Çağkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire
In this paper, we study the localization problem in dense urban settings.