The First Pathloss Radio Map Prediction Challenge
MCML Authors
Abstract
Abstract
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. In this short overview paper, we briefly describe the pathloss prediction problem, the provided datasets, the challenge task and the challenge evaluation methodology. Finally, we present the results of the challenge.
inproceedings YJL+23
ICASSP 2023
IEEE International Conference on Acoustics, Speech and Signal Processing. Rhode Island, Greece, Jun 04-10, 2023.Authors
Ç. Yapar • F. Jaensch • R. Levie • G. Kutyniok • G. CaireLinks
DOIResearch Area
BibTeXKey: YJL+23