Zhou, L. orcid.org/0000-0001-7760-832X, Zhang, J. orcid.org/0000-0002-3354-0690, Zhang, J. orcid.org/0000-0003-3750-6841 et al. (2 more authors) (2025) AMPLE: An adaptive multiple path loss exponent radio propagation model considering environmental factors. IEEE Transactions on Vehicular Technology, 74 (2). pp. 3395-3400. ISSN: 0018-9545
Abstract
We present AMPLE - a novel multiple path loss exponent (PLE) radio propagation model that can adapt to different environmental factors. In the proposed model, the scenario under consideration is classified into region types from a raster map, and each type of region is assigned with a PLE. The path loss is then computed based on a straight line between the transmitter (Tx) and receiver (Rx), which records the intersected regions and the weighted region path loss. To regress the model, those PLEs are extracted via measurement and the region map. We also verify the model in two suburban areas and compare with the 3GPP path loss model and the Alpha-Beta-Gamma (ABG) model. The results show that the AMPLE model outperforms the aforementioned models. To the best of our knowledge, this is the first time that a practical multi-slope model precisely maps PLEs and region types. Besides, this model can be integrated into map systems by creating a new path loss attribute for digital maps.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Vehicular Technology is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Computational modeling; Predictive models; Adaptation models; Radio propagation; Propagation losses; Loss measurement; Accuracy; Mathematical models; Channel models; 3GPP |
| Dates: |
|
| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering |
| Date Deposited: | 16 Dec 2025 09:13 |
| Last Modified: | 16 Dec 2025 09:13 |
| Status: | Published |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Refereed: | Yes |
| Identification Number: | 10.1109/tvt.2024.3471655 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235519 |
Download
Filename: AMP_TVT_WRRO_AAM_251215.pdf
Licence: CC-BY 4.0

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)