A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment
The development of Low-Power Wide-Area Networks is challenging in urban areas due to the terrain elevation changes, clutter losses or dense vegetation regions that attenuate the radio signals. To provide accurate coverage estimation, signal propagation models that integrate losses caused by reflec...
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Format: | Article |
Language: | English |
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Stefan cel Mare University of Suceava
2021-11-01
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Series: | Advances in Electrical and Computer Engineering |
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Online Access: | http://dx.doi.org/10.4316/AECE.2021.04007 |
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author | PETRARIU, A. I. MUTESCU, P.-M. COCA, E. LAVRIC, A. |
author_facet | PETRARIU, A. I. MUTESCU, P.-M. COCA, E. LAVRIC, A. |
author_sort | PETRARIU, A. I. |
collection | DOAJ |
description | The development of Low-Power Wide-Area Networks is challenging in urban areas due to the terrain elevation changes,
clutter losses or dense vegetation regions that attenuate the radio signals. To provide accurate coverage estimation,
signal propagation models that integrate losses caused by reflections or attenuations should be used. In this study,
we analyze two radio propagation models used for different urban environment configurations, Longley-Rice and ITU-R,
to perform a coverage estimation of a LoRa communication network for large-scale deployments. According to our
analysis results, validated by measurements, the Longley-Rice and ITU-R radio propagation models are suitable
for an urban environment as they use vegetation path losses and can be adapted according to LoRa modulation
requirements. Those propagation models are adjusted for real urban field measurements achieved from a
point-to-point communication. The obtained results focus also on coverage optimization of a locally
deployed LoRa network, considering the best gateway location for the optimum coverage. Thus, a low-cost
deployment of the entire network is ensured by reducing the number of installed gateways. |
first_indexed | 2024-12-19T08:08:59Z |
format | Article |
id | doaj.art-652cb9b11db643379c814b0d1fc3fb12 |
institution | Directory Open Access Journal |
issn | 1582-7445 1844-7600 |
language | English |
last_indexed | 2024-12-19T08:08:59Z |
publishDate | 2021-11-01 |
publisher | Stefan cel Mare University of Suceava |
record_format | Article |
series | Advances in Electrical and Computer Engineering |
spelling | doaj.art-652cb9b11db643379c814b0d1fc3fb122022-12-21T20:29:41ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002021-11-01214616810.4316/AECE.2021.04007A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks DeploymentPETRARIU, A. I.MUTESCU, P.-M.COCA, E.LAVRIC, A.The development of Low-Power Wide-Area Networks is challenging in urban areas due to the terrain elevation changes, clutter losses or dense vegetation regions that attenuate the radio signals. To provide accurate coverage estimation, signal propagation models that integrate losses caused by reflections or attenuations should be used. In this study, we analyze two radio propagation models used for different urban environment configurations, Longley-Rice and ITU-R, to perform a coverage estimation of a LoRa communication network for large-scale deployments. According to our analysis results, validated by measurements, the Longley-Rice and ITU-R radio propagation models are suitable for an urban environment as they use vegetation path losses and can be adapted according to LoRa modulation requirements. Those propagation models are adjusted for real urban field measurements achieved from a point-to-point communication. The obtained results focus also on coverage optimization of a locally deployed LoRa network, considering the best gateway location for the optimum coverage. Thus, a low-cost deployment of the entire network is ensured by reducing the number of installed gateways.http://dx.doi.org/10.4316/AECE.2021.04007lora signal coverageinternet of thingsurban areaschirp modulationradiofrequency interference |
spellingShingle | PETRARIU, A. I. MUTESCU, P.-M. COCA, E. LAVRIC, A. A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment Advances in Electrical and Computer Engineering lora signal coverage internet of things urban areas chirp modulation radiofrequency interference |
title | A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment |
title_full | A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment |
title_fullStr | A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment |
title_full_unstemmed | A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment |
title_short | A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment |
title_sort | study on lora signal propagation models in urban environments for large scale networks deployment |
topic | lora signal coverage internet of things urban areas chirp modulation radiofrequency interference |
url | http://dx.doi.org/10.4316/AECE.2021.04007 |
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