Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California

The fifth generation of wireless networks is expected to provide high capacity, low latency, high reliability, and massive connectivity services. Ultra-dense network (UDN) is a clear trend for enhancing capacity, coverage, and load balancing. In UDNs, the cell selection issue for moving vehicles sho...

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Autores principales:	Ibtihal Ahmed Alablani, Mohammed Amer Arafah
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Los Angeles 5G small cells UDNs cell selection dwell time Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/cd98a21c36b14b0c8318fb91bb0aced5
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spelling	oai:doaj.org-article:cd98a21c36b14b0c8318fb91bb0aced52021-11-24T00:00:52ZApplying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California2169-353610.1109/ACCESS.2021.3128141https://doaj.org/article/cd98a21c36b14b0c8318fb91bb0aced52021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9615086/https://doaj.org/toc/2169-3536The fifth generation of wireless networks is expected to provide high capacity, low latency, high reliability, and massive connectivity services. Ultra-dense network (UDN) is a clear trend for enhancing capacity, coverage, and load balancing. In UDNs, the cell selection issue for moving vehicles should be addressed. In this paper, a cell selection strategy known as a dwell time estimation (DTE) scheme is proposed, which is based on Vehicle-to-Everything (V2X) communications. It selects small cells that have the longest dwell time in a vehicle’s direction to decrease handover (HO) rate. The proposed DTE scheme is evaluated using two datasets, which are 5G small cells and vehicles datasets, that were collected in the city of Los Angeles in California. The simulation result shows that our DTE algorithm outperforms other recent related schemes in terms of the mean number of HOs by up to 36.26% because it prolongs the dwell time of the vehicle within the serving small cell. Consequently, it reduces the average number of HO failures and unnecessary HOs. In addition, it gives improvements in terms of the average achievable downlink throughput and network energy efficiency. Furthermore, it has superiority over the other schemes in terms of the mean packet delay by up to 16.49%.Ibtihal Ahmed AlablaniMohammed Amer ArafahIEEEarticleLos Angeles5Gsmall cellsUDNscell selectiondwell timeElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153909-153925 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Los Angeles 5G small cells UDNs cell selection dwell time Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Los Angeles 5G small cells UDNs cell selection dwell time Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ibtihal Ahmed Alablani Mohammed Amer Arafah Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California
description	The fifth generation of wireless networks is expected to provide high capacity, low latency, high reliability, and massive connectivity services. Ultra-dense network (UDN) is a clear trend for enhancing capacity, coverage, and load balancing. In UDNs, the cell selection issue for moving vehicles should be addressed. In this paper, a cell selection strategy known as a dwell time estimation (DTE) scheme is proposed, which is based on Vehicle-to-Everything (V2X) communications. It selects small cells that have the longest dwell time in a vehicle’s direction to decrease handover (HO) rate. The proposed DTE scheme is evaluated using two datasets, which are 5G small cells and vehicles datasets, that were collected in the city of Los Angeles in California. The simulation result shows that our DTE algorithm outperforms other recent related schemes in terms of the mean number of HOs by up to 36.26% because it prolongs the dwell time of the vehicle within the serving small cell. Consequently, it reduces the average number of HO failures and unnecessary HOs. In addition, it gives improvements in terms of the average achievable downlink throughput and network energy efficiency. Furthermore, it has superiority over the other schemes in terms of the mean packet delay by up to 16.49%.
format	article
author	Ibtihal Ahmed Alablani Mohammed Amer Arafah
author_facet	Ibtihal Ahmed Alablani Mohammed Amer Arafah
author_sort	Ibtihal Ahmed Alablani
title	Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California
title_short	Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California
title_full	Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California
title_fullStr	Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California
title_full_unstemmed	Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California
title_sort	applying a dwell time-based 5g v2x cell selection strategy in the city of los angeles, california
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/cd98a21c36b14b0c8318fb91bb0aced5
work_keys_str_mv	AT ibtihalahmedalablani applyingadwelltimebased5gv2xcellselectionstrategyinthecityoflosangelescalifornia AT mohammedamerarafah applyingadwelltimebased5gv2xcellselectionstrategyinthecityoflosangelescalifornia
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Applying a Dwell Time-Based 5G V2X Cell Selection Strategy in the City of Los Angeles, California

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