AMPLE: An Adaptive Multiple Path Loss Exponent Radio Propagation Model Considering Environmental Factors

Fuente: arXiv
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Autores principales: Zhou, Lingyou, Zhang, Jie, Zhang, Jiliang, Cetinkaya, Oktay, Jubb, Steve
Formato: Preprint
Publicado: 2023
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author Zhou, Lingyou
Zhang, Jie
Zhang, Jiliang
Cetinkaya, Oktay
Jubb, Steve
author_facet Zhou, Lingyou
Zhang, Jie
Zhang, Jiliang
Cetinkaya, Oktay
Jubb, Steve
contents We present AMPLE -- a novel multiple path loss exponent (PLE) radio propagation model that can adapt to different environmental factors. The proposed model aims at accurately predicting path loss with low computational complexity considering environmental factors. In the proposed model, the scenario under consideration is classified into regions from a raster map, and each type of region is assigned with a PLE. The path loss is then computed based on a direct path between the transmitter (Tx) and receiver (Rx), which records the intersected regions and the weighted region path loss. To regress the model, the parameters, including PLEs, are extracted via measurement and the region map. We also verify the model in a suburban area. To the best of our knowledge, this is the first time that a 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.
format Preprint
id arxiv_https___arxiv_org_abs_2303_12441
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle AMPLE: An Adaptive Multiple Path Loss Exponent Radio Propagation Model Considering Environmental Factors
Zhou, Lingyou
Zhang, Jie
Zhang, Jiliang
Cetinkaya, Oktay
Jubb, Steve
Networking and Internet Architecture
Signal Processing
We present AMPLE -- a novel multiple path loss exponent (PLE) radio propagation model that can adapt to different environmental factors. The proposed model aims at accurately predicting path loss with low computational complexity considering environmental factors. In the proposed model, the scenario under consideration is classified into regions from a raster map, and each type of region is assigned with a PLE. The path loss is then computed based on a direct path between the transmitter (Tx) and receiver (Rx), which records the intersected regions and the weighted region path loss. To regress the model, the parameters, including PLEs, are extracted via measurement and the region map. We also verify the model in a suburban area. To the best of our knowledge, this is the first time that a 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.
title AMPLE: An Adaptive Multiple Path Loss Exponent Radio Propagation Model Considering Environmental Factors
topic Networking and Internet Architecture
Signal Processing
url https://arxiv.org/abs/2303.12441