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Título
RSU placement considering V2X services requirements and available radio resources
Autor
Congreso
2023 33rd International Telecommunication Networks and Applications Conference, ITNAC 2023
Año del Documento
2023
Editorial
IEEE Institute of Electrical and Electronics Engineers
Descripción Física
4 p.
Descripción
Producción Científica
Documento Fuente
2023 International Telecommunication Networks and Applications Conference (ITNAC 23). Melbourne, Australia: IEEE Institute of Electrical and Electronics Engineers, 29 November - 01 December 2023, p. 218-221
Abstract
Connected, cooperative and automated mobility (CCAM) is a growing field as the services required by connected vehicles increase in quantity and complexity. To be able to be connected, vehicles need network infrastructure to communicate with. Roadside Units (RSUs) are communication devices that are placed beside highways and roads and offer connectivity and processing services to the vehicles. The 3rd Generation Partnership Project (3GPP) has developed some standards which specify the characteristics of the services, as well as the spectral bands used to offer vehicle to everything (V2X) connectivity. In this paper, we study the optimal placement of RSUs in a V2X network for different service requirements and channel quality scenarios, considering the 3GPP standards. We formulate an Integer Linear Programming (ILP) model to minimize the number of RSU s needed and solve it for different traffic and channel conditions given by the 3GPP specifications. Results offer the number of required RSU s and their placement for vehicular access networks deployments.
Materias (normalizadas)
Telecommunication
Palabras Clave
Network Planning
Internet of Vehicles (IoV)
Roadside Unit (RSU)
Connected and cooperative and automated mobility (CCAM)
Vehicle to Everything (V2X)
ISBN
9798350317138
Patrocinador
Este trabajo forma parte del proyecto de investigación: Ministerio de Ciencia e Innovación y Agencia Estatal de Investigación (Proyecto PID2020-112675RB-C42 financiado por MCIN/AEI/10.13039/501100011033); Consejería de Educación de la Junta de Castilla y León y FEDER (VA231P20); EU H2020 MSCA ITN-ETN IoTalentum (grant no. 953442)
Version del Editor
Propietario de los Derechos
© 2024 The Authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/acceptedVersion
Derechos
openAccess
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