This paper outlines the development of a Canada-wide morphology map classifying regions into residential, urban low-rise, and urban high-rise environments, following the ITU-R P.1411-12 propagation model guidelines. To address the qualitative nature of the environment-type descriptors found in the Recommendation, a machine learning approach is employed to automate the classification process. Extensive experimentation optimized classification accuracy, resulting in a Canada-wide morphology map that ensures more accurate path loss estimations for outdoor short-range propagation at frequencies ranging from 300 MHz to 100 GHz.
@article{arxiv.2507.08026,
title = {Development of a Canada-Wide Morphology Map for the ITU-R P. 1411 Propagation Model},
author = {Jennifer P. T. Nguyen},
journal= {arXiv preprint arXiv:2507.08026},
year = {2025}
}