The First Indoor Pathloss Radio Map Prediction Challenge

Stefanos Bakirtzis; Çagkan Yapar; Kehai Qiu; Ian J. Wassell; Jie Zhang

ICASSP 2025accepted0 citations

The First Indoor Pathloss Radio Map Prediction Challenge

Stefanos Bakirtzis, Çagkan Yapar, Kehai Qiu, Ian J. Wassell, Jie Zhang

Abstract

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 signal emissions in indoor propagation environments, we have launched the ICASSP 2025 First Indoor Pathloss Radio Map Prediction Challenge. This overview paper describes the indoor path loss prediction problem, the datasets used, the Challenge tasks, and the evaluation methodology. Finally, the results of the Challenge and a summary of the submitted methods are presented.

BibTeX

@inproceedings{icassp2025_thefirstindoorpa,
  title = {The First Indoor Pathloss Radio Map Prediction Challenge},
  author = {Stefanos Bakirtzis and Çagkan Yapar and Kehai Qiu and Ian J. Wassell and Jie Zhang},
  booktitle = {ICASSP 2025},
  year = {2025}
}