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Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability

In the development of autonomous driving technology, 5G-NR vehicle-to-everything (V2X) technology is a key technology that enhances safety and enables effective management of traffic information. Road-side units (RSUs) in 5G-NR V2X provide nearby vehicles with information and exchange traffic, and s...

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Autores principales: An, SangHoon, Chang, KyungHi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145061/
https://www.ncbi.nlm.nih.gov/pubmed/37112331
http://dx.doi.org/10.3390/s23083989
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author An, SangHoon
Chang, KyungHi
author_facet An, SangHoon
Chang, KyungHi
author_sort An, SangHoon
collection PubMed
description In the development of autonomous driving technology, 5G-NR vehicle-to-everything (V2X) technology is a key technology that enhances safety and enables effective management of traffic information. Road-side units (RSUs) in 5G-NR V2X provide nearby vehicles with information and exchange traffic, and safety information with future autonomous vehicles, enhancing traffic safety and efficiency. This paper proposes a communication system for vehicle networks based on a 5G cellular network with RSUs consisting of the base station (BS) and user equipment (UE), and validates the system performance when providing services from different RSUs. The proposed approach maximizes the utilization of the entire network and ensures the reliability of V2I/V2N links between vehicles and each RSU. It also minimizes the shadowing area in the 5G-NR V2X environment, and maximizes the average throughput of vehicles through collaborative access between BS- and UE-type RSUs. The paper applies various resource management techniques, such as dynamic inter-cell interference coordination (ICIC), coordinated scheduling coordinated multi-point (CS-CoMP), cell range extension (CRE), and 3D beamforming, to achieve high reliability requirements. Simulation results demonstrate improved performance in outage probability, reduced shadowing area, and increased reliability through decreased interference and increased average throughput when collaborating with BS- and UE-type RSUs simultaneously.
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spelling pubmed-101450612023-04-29 Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability An, SangHoon Chang, KyungHi Sensors (Basel) Article In the development of autonomous driving technology, 5G-NR vehicle-to-everything (V2X) technology is a key technology that enhances safety and enables effective management of traffic information. Road-side units (RSUs) in 5G-NR V2X provide nearby vehicles with information and exchange traffic, and safety information with future autonomous vehicles, enhancing traffic safety and efficiency. This paper proposes a communication system for vehicle networks based on a 5G cellular network with RSUs consisting of the base station (BS) and user equipment (UE), and validates the system performance when providing services from different RSUs. The proposed approach maximizes the utilization of the entire network and ensures the reliability of V2I/V2N links between vehicles and each RSU. It also minimizes the shadowing area in the 5G-NR V2X environment, and maximizes the average throughput of vehicles through collaborative access between BS- and UE-type RSUs. The paper applies various resource management techniques, such as dynamic inter-cell interference coordination (ICIC), coordinated scheduling coordinated multi-point (CS-CoMP), cell range extension (CRE), and 3D beamforming, to achieve high reliability requirements. Simulation results demonstrate improved performance in outage probability, reduced shadowing area, and increased reliability through decreased interference and increased average throughput when collaborating with BS- and UE-type RSUs simultaneously. MDPI 2023-04-14 /pmc/articles/PMC10145061/ /pubmed/37112331 http://dx.doi.org/10.3390/s23083989 Text en © 2023 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
An, SangHoon
Chang, KyungHi
Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability
title Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability
title_full Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability
title_fullStr Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability
title_full_unstemmed Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability
title_short Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability
title_sort resource management for collaborative 5g-nr-v2x rsus to enhance v2i/n link reliability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145061/
https://www.ncbi.nlm.nih.gov/pubmed/37112331
http://dx.doi.org/10.3390/s23083989
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