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Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models

Cellular connectivity for UAV systems is interesting because it promises coverage in beyond visual line of sight scenarios. Inter-cell interference has been shown to be the main limiting factor at high altitudes. Using a realistic 3D simulator model, with real base station locations, this study conf...

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Detalles Bibliográficos
Autores principales: Colpaert, Achiel, Vinogradov, Evgenii, Pollin, Sofie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308414/
https://www.ncbi.nlm.nih.gov/pubmed/30563281
http://dx.doi.org/10.3390/s18124311
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author Colpaert, Achiel
Vinogradov, Evgenii
Pollin, Sofie
author_facet Colpaert, Achiel
Vinogradov, Evgenii
Pollin, Sofie
author_sort Colpaert, Achiel
collection PubMed
description Cellular connectivity for UAV systems is interesting because it promises coverage in beyond visual line of sight scenarios. Inter-cell interference has been shown to be the main limiting factor at high altitudes. Using a realistic 3D simulator model, with real base station locations, this study confirms that UAVs at high altitudes suffer from significant interference, resulting in a worse coverage compared to ground users. When replacing the existing base stations by mmWave cells, our results indicate that ground coverage is decreased to only 90%, while UAVs just above rooftop level have a coverage probability of 100%. However, UAVs at higher altitude still suffer from excessive interference. Beamforming has the potential to improve mmWave link budget and to decrease interference and is for this reason a promising technology for ensuring connectivity to aerial users.
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spelling pubmed-63084142019-01-04 Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models Colpaert, Achiel Vinogradov, Evgenii Pollin, Sofie Sensors (Basel) Article Cellular connectivity for UAV systems is interesting because it promises coverage in beyond visual line of sight scenarios. Inter-cell interference has been shown to be the main limiting factor at high altitudes. Using a realistic 3D simulator model, with real base station locations, this study confirms that UAVs at high altitudes suffer from significant interference, resulting in a worse coverage compared to ground users. When replacing the existing base stations by mmWave cells, our results indicate that ground coverage is decreased to only 90%, while UAVs just above rooftop level have a coverage probability of 100%. However, UAVs at higher altitude still suffer from excessive interference. Beamforming has the potential to improve mmWave link budget and to decrease interference and is for this reason a promising technology for ensuring connectivity to aerial users. MDPI 2018-12-06 /pmc/articles/PMC6308414/ /pubmed/30563281 http://dx.doi.org/10.3390/s18124311 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Colpaert, Achiel
Vinogradov, Evgenii
Pollin, Sofie
Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models
title Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models
title_full Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models
title_fullStr Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models
title_full_unstemmed Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models
title_short Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models
title_sort aerial coverage analysis of cellular systems at lte and mmwave frequencies using 3d city models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308414/
https://www.ncbi.nlm.nih.gov/pubmed/30563281
http://dx.doi.org/10.3390/s18124311
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