Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments

[EN] The development of intelligent transportation systems (ITS), vehicular ad hoc networks (VANETs), and autonomous driving (AD) has progressed rapidly in recent years, driven by artificial intelligence (AI), the internet of things (IoT), and their integration with dedicated short-range communicati...

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Autores: Fernández, Herman, Rubio Arjona, Lorenzo|||0000-0003-3882-4673, Rodrigo Peñarrocha, Vicent Miquel|||0000-0002-8075-4851, Reig, Juan|||0000-0003-4541-9326
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/209260
Acceso en línea:https://riunet.upv.es/handle/10251/209260
Access Level:acceso abierto
Palabra clave:Vehicular ad hoc network (VANET)
Vehicle-to-everything (V2X)
Artificial intelligence (AI)
Internet of things (IoT)
Path loss models
Path loss exponent
5G
Autonomous driving (AD)
Cooperative autonomous driving (CAD)
Cooperative sensing
Connected and autonomous vehicles (CAVs)
TEORÍA DE LA SEÑAL Y COMUNICACIONES
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spelling Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban EnvironmentsFernández, HermanRubio Arjona, Lorenzo|||0000-0003-3882-4673Rodrigo Peñarrocha, Vicent Miquel|||0000-0002-8075-4851Reig, Juan|||0000-0003-4541-9326Vehicular ad hoc network (VANET)Vehicle-to-everything (V2X)Artificial intelligence (AI)Internet of things (IoT)Path loss modelsPath loss exponent5GAutonomous driving (AD)Cooperative autonomous driving (CAD)Cooperative sensingConnected and autonomous vehicles (CAVs)TEORÍA DE LA SEÑAL Y COMUNICACIONES[EN] The development of intelligent transportation systems (ITS), vehicular ad hoc networks (VANETs), and autonomous driving (AD) has progressed rapidly in recent years, driven by artificial intelligence (AI), the internet of things (IoT), and their integration with dedicated short-range communications (DSRC) systems and fifth-generation (5G) networks. This has led to improved mobility conditions in different road propagation environments: urban, suburban, rural, and highway. The use of these communication technologies has enabled drivers and pedestrians to be more aware of the need to improve their behavior and decision making in adverse traffic conditions by sharing information from cameras, radars, and sensors widely deployed in vehicles and road infrastructure. However, wireless data transmission in VANETs is affected by the specific conditions of the propagation environment, weather, terrain, traffic density, and frequency bands used. In this paper, we characterize the path loss based on the extensive measurement campaign carrier out in vehicular environments at 700 MHz and 5.9 GHz under realistic road traffic conditions. From a linear dual-slope path loss propagation model, the results of the path loss exponents and the standard deviations of the shadowing are reported. This study focused on three different environments, i.e., urban with high traffic density (U-HD), urban with moderate/low traffic density (U-LD), and suburban (SU). The results presented here can be easily incorporated into VANET simulators to develop, evaluate, and validate new protocols and system architecture configurations under more realistic propagation conditions.This research was funded in part by the MCIN/AEI/10.13039/501100011033/ through the362 I+D+i Project under Grant PID2020-119173RB-C21, and by the Pedagogical and Technological University of Colombia (Project Number SGI 3721).MDPI AGEscuela Técnica Superior de Ingeniería de TelecomunicaciónDepartamento de ComunicacionesInstituto Universitario de Telecomunicación y Aplicaciones MultimediaAgencia Estatal de InvestigaciónUniversidad Pedagógica y Tecnológica de ColombiaRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-07-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/209260reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119173RB-C21 TECNICAS DE MEDIDA Y MODELOS AVANZADOS DE CANAL PARA LA DEFINICION DE LOS FUTUROS SISTEMAS 6G (A6GMODEL-UPV)Universidad Pedagógica y Tecnológica de Colombia UPTC SGI 3721open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2092602026-06-13T07:49:27Z
dc.title.none.fl_str_mv Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
title Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
spellingShingle Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
Fernández, Herman
Vehicular ad hoc network (VANET)
Vehicle-to-everything (V2X)
Artificial intelligence (AI)
Internet of things (IoT)
Path loss models
Path loss exponent
5G
Autonomous driving (AD)
Cooperative autonomous driving (CAD)
Cooperative sensing
Connected and autonomous vehicles (CAVs)
TEORÍA DE LA SEÑAL Y COMUNICACIONES
title_short Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
title_full Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
title_fullStr Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
title_full_unstemmed Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
title_sort Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments
dc.creator.none.fl_str_mv Fernández, Herman
Rubio Arjona, Lorenzo|||0000-0003-3882-4673
Rodrigo Peñarrocha, Vicent Miquel|||0000-0002-8075-4851
Reig, Juan|||0000-0003-4541-9326
author Fernández, Herman
author_facet Fernández, Herman
Rubio Arjona, Lorenzo|||0000-0003-3882-4673
Rodrigo Peñarrocha, Vicent Miquel|||0000-0002-8075-4851
Reig, Juan|||0000-0003-4541-9326
author_role author
author2 Rubio Arjona, Lorenzo|||0000-0003-3882-4673
Rodrigo Peñarrocha, Vicent Miquel|||0000-0002-8075-4851
Reig, Juan|||0000-0003-4541-9326
author2_role author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería de Telecomunicación
Departamento de Comunicaciones
Instituto Universitario de Telecomunicación y Aplicaciones Multimedia
Agencia Estatal de Investigación
Universidad Pedagógica y Tecnológica de Colombia
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Vehicular ad hoc network (VANET)
Vehicle-to-everything (V2X)
Artificial intelligence (AI)
Internet of things (IoT)
Path loss models
Path loss exponent
5G
Autonomous driving (AD)
Cooperative autonomous driving (CAD)
Cooperative sensing
Connected and autonomous vehicles (CAVs)
TEORÍA DE LA SEÑAL Y COMUNICACIONES
topic Vehicular ad hoc network (VANET)
Vehicle-to-everything (V2X)
Artificial intelligence (AI)
Internet of things (IoT)
Path loss models
Path loss exponent
5G
Autonomous driving (AD)
Cooperative autonomous driving (CAD)
Cooperative sensing
Connected and autonomous vehicles (CAVs)
TEORÍA DE LA SEÑAL Y COMUNICACIONES
description [EN] The development of intelligent transportation systems (ITS), vehicular ad hoc networks (VANETs), and autonomous driving (AD) has progressed rapidly in recent years, driven by artificial intelligence (AI), the internet of things (IoT), and their integration with dedicated short-range communications (DSRC) systems and fifth-generation (5G) networks. This has led to improved mobility conditions in different road propagation environments: urban, suburban, rural, and highway. The use of these communication technologies has enabled drivers and pedestrians to be more aware of the need to improve their behavior and decision making in adverse traffic conditions by sharing information from cameras, radars, and sensors widely deployed in vehicles and road infrastructure. However, wireless data transmission in VANETs is affected by the specific conditions of the propagation environment, weather, terrain, traffic density, and frequency bands used. In this paper, we characterize the path loss based on the extensive measurement campaign carrier out in vehicular environments at 700 MHz and 5.9 GHz under realistic road traffic conditions. From a linear dual-slope path loss propagation model, the results of the path loss exponents and the standard deviations of the shadowing are reported. This study focused on three different environments, i.e., urban with high traffic density (U-HD), urban with moderate/low traffic density (U-LD), and suburban (SU). The results presented here can be easily incorporated into VANET simulators to develop, evaluate, and validate new protocols and system architecture configurations under more realistic propagation conditions.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/209260
url https://riunet.upv.es/handle/10251/209260
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119173RB-C21 TECNICAS DE MEDIDA Y MODELOS AVANZADOS DE CANAL PARA LA DEFINICION DE LOS FUTUROS SISTEMAS 6G (A6GMODEL-UPV)
Universidad Pedagógica y Tecnológica de Colombia UPTC SGI 3721
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420252242116608
score 15.811543

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