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On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment

Massive multiple-input multiple-output (mMIMO) communication systems are a pillar technology for 5G. However, the wireless radio channel models relying on the assumption of wide-sense stationary uncorrelated scattering (WSSUS) may not always be valid for dynamic scenarios. Nonetheless, an analysis o...

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Autores principales: Dahmouni, Nor El Islam, Laly, Pierre, Yusuf, Marwan, Delbarre, Gauthier, Liénard, Martine, Simon, Eric P., Gaillot, Davy P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656889/
https://www.ncbi.nlm.nih.gov/pubmed/36366118
http://dx.doi.org/10.3390/s22218420
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author Dahmouni, Nor El Islam
Laly, Pierre
Yusuf, Marwan
Delbarre, Gauthier
Liénard, Martine
Simon, Eric P.
Gaillot, Davy P.
author_facet Dahmouni, Nor El Islam
Laly, Pierre
Yusuf, Marwan
Delbarre, Gauthier
Liénard, Martine
Simon, Eric P.
Gaillot, Davy P.
author_sort Dahmouni, Nor El Islam
collection PubMed
description Massive multiple-input multiple-output (mMIMO) communication systems are a pillar technology for 5G. However, the wireless radio channel models relying on the assumption of wide-sense stationary uncorrelated scattering (WSSUS) may not always be valid for dynamic scenarios. Nonetheless, an analysis of the stationarity time that validates this hypothesis for mMIMO vehicular channels as well as a clear relationship with the scattering properties is missing in the literature. Here, time-varying single-user mMIMO radio channels were measured in a suburban environment at the 5.89 GHz vehicular band with a strong Line-of-Sight (LOS) to study the non-WSSUS and large scale characteristics of the vehicle-to-infrastructure (V2I) link. The generalized local scattering function (GLSF), computed from the sampled channels, was used to derive (1) the spatial distribution of the stationarity time using the channel correlation function (CCF) and empirical collinearity methods and (2) the root mean square delay/angular spread and coherence time/bandwidth values from the projected power delay profile (PDP) and Doppler power spectra (DPS). The results highlight the high degree of correlation between the spatial distribution of the stationarity time and the scattering properties along the measurement route.
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spelling pubmed-96568892022-11-15 On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment Dahmouni, Nor El Islam Laly, Pierre Yusuf, Marwan Delbarre, Gauthier Liénard, Martine Simon, Eric P. Gaillot, Davy P. Sensors (Basel) Article Massive multiple-input multiple-output (mMIMO) communication systems are a pillar technology for 5G. However, the wireless radio channel models relying on the assumption of wide-sense stationary uncorrelated scattering (WSSUS) may not always be valid for dynamic scenarios. Nonetheless, an analysis of the stationarity time that validates this hypothesis for mMIMO vehicular channels as well as a clear relationship with the scattering properties is missing in the literature. Here, time-varying single-user mMIMO radio channels were measured in a suburban environment at the 5.89 GHz vehicular band with a strong Line-of-Sight (LOS) to study the non-WSSUS and large scale characteristics of the vehicle-to-infrastructure (V2I) link. The generalized local scattering function (GLSF), computed from the sampled channels, was used to derive (1) the spatial distribution of the stationarity time using the channel correlation function (CCF) and empirical collinearity methods and (2) the root mean square delay/angular spread and coherence time/bandwidth values from the projected power delay profile (PDP) and Doppler power spectra (DPS). The results highlight the high degree of correlation between the spatial distribution of the stationarity time and the scattering properties along the measurement route. MDPI 2022-11-02 /pmc/articles/PMC9656889/ /pubmed/36366118 http://dx.doi.org/10.3390/s22218420 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dahmouni, Nor El Islam
Laly, Pierre
Yusuf, Marwan
Delbarre, Gauthier
Liénard, Martine
Simon, Eric P.
Gaillot, Davy P.
On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment
title On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment
title_full On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment
title_fullStr On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment
title_full_unstemmed On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment
title_short On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment
title_sort on the stationarity time of a vehicle-to-infrastructure massive radio channel in a line-of-sight suburban environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656889/
https://www.ncbi.nlm.nih.gov/pubmed/36366118
http://dx.doi.org/10.3390/s22218420
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