most citedExtending Machine Learning Based RF Coverage Predictions to 3D

9 citations · 13 across the 3 of their papers we have counts for

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eess.SP2024★ 9 cited

Extending Machine Learning Based RF Coverage Predictions to 3D

Muyao Chen, Mathieu Châteauvert, Jonathan Ethier

This paper discusses recent advancements made in the fast prediction of signal power in mmWave communications environments. Using machine learning (ML) it is possible to train mode…

eess.SP2024★ 4 cited

Signal Attenuation through Foliage Estimator (SAFE)

Mathieu Châteauvert, Jonathan Ethier, Pierre Bouchard

The SAFE tool is an open-source Radio Frequency (RF) propagation model designed for path loss predictions in foliage-dominant environments. It utilizes the ITU-R P.1812-6 model as…