Development of a Canada-Wide Morphology Map for the ITU-R P. 1411 Propagation Model
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913937873698816 |
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| author | Nguyen, Jennifer P. T. |
| author_facet | Nguyen, Jennifer P. T. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_08026 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Development of a Canada-Wide Morphology Map for the ITU-R P. 1411 Propagation Model Nguyen, Jennifer P. T. Computer Vision and Pattern Recognition 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. |
| title | Development of a Canada-Wide Morphology Map for the ITU-R P. 1411 Propagation Model |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2507.08026 |