Status : Verified
| Personal Name | Arriesgado, Alimuddin S. |
|---|---|
| Resource Title | GeoSeg: Path Loss Estimation Method for Outdoor LoRa LPWAN |
| Date Issued | 29 August 2025 |
| Abstract | Accurate path loss modeling in low-power wide-area networks (LPWAN) is critical for network design, analysis, and applications such as localization. While conventional models use regional land cover classifications (e.g., urban, semi-urban) to characterize propagation environments, these approximations fail to capture the anisotropic nature of long-range LPWAN links traversing diverse land covers. Recent studies show that per-link modeling achieves higher accuracy than regional methods. Similarly, geographical clustering is another technique that mitigates regional modeling limitations. This study introduces GeoSeg, an enhanced log-distance path loss model. GeoSeg incorporates the following methodological innovations: (1) combined per-link modeling with geographical clustering to develop a per-link variant of the log-distance path loss model; (2) developed a context aware embedding process that characterizes the 2D propagation environment between transceivers, incorporating land cover types, their spatial sequence, and positions relative to line-of-sight; (3) modified a Hidden Markov Model (HMM)-based technique for variable-length sequence clustering, to handle large-scale dataset processing; and (4) introduced a calibration process for the log-distance path loss model that is easily integrable to preexisting LPWAN deployments and/or datasets. Developed using an open-access LoRaWAN dataset, preliminary model evaluation shows improved path loss estimation accuracy compared to the standard log distance path loss model. |
| Degree Course | Master of Science in Electrical Engineering |
| Language | English |
| Keyword | Low Power Wide Area Network, Path loss model, LoRa |
| Material Type | Thesis/Dissertation |
Preliminary Pages
645.91 Kb
Category : F - Regular work, i.e., it has no patentable invention or creation, the author does not wish for personal publication, there is no confidential information.
Access Permission : Open Access