TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4

Effective communication in vehicular networks depends on the scheduling of wireless channel resources. There are two types of channel resource scheduling in Release 14 of the 3GPP, i.e., (1) controlled by eNodeB and (2) a distributed scheduling carried out by every vehicle, known as Autonomous Resou...

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Autores principales:	Izaz Ahmad Khan, Syed Adeel Ali Shah, Adnan Akhunzada, Abdullah Gani, Joel J. P. C. Rodrigues
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	LTE-V2V Mode 4 3GPP eNodeB resource collision vehicular network road safety applications Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/1c66a9ce006d4576bd3930c82f3f15e1
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id	oai:doaj.org-article:1c66a9ce006d4576bd3930c82f3f15e1
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spelling	oai:doaj.org-article:1c66a9ce006d4576bd3930c82f3f15e12021-11-25T18:56:22ZTARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 410.3390/s212274311424-8220https://doaj.org/article/1c66a9ce006d4576bd3930c82f3f15e12021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7431https://doaj.org/toc/1424-8220Effective communication in vehicular networks depends on the scheduling of wireless channel resources. There are two types of channel resource scheduling in Release 14 of the 3GPP, i.e., (1) controlled by eNodeB and (2) a distributed scheduling carried out by every vehicle, known as Autonomous Resource Selection (ARS). The most suitable resource scheduling for vehicle safety applications is the ARS mechanism. ARS includes (a) counter selection (i.e., specifying the number of subsequent transmissions) and (b) resource reselection (specifying the reuse of the same resource after counter expiry). ARS is a decentralized approach for resource selection. Therefore, resource collisions can occur during the initial selection, where multiple vehicles might select the same resource, hence resulting in packet loss. ARS is not adaptive towards vehicle density and employs a uniform random selection probability approach for counter selection and reselection. As a result, it can prevent some vehicles from transmitting in a congested vehicular network. To this end, the paper presents Truly Autonomous Resource Selection (TARS) for vehicular networks. TARS considers resource allocation as a problem of locally detecting the selected resources at neighbor vehicles to avoid resource collisions. The paper also models the behavior of counter selection and resource block reselection on resource collisions using the Discrete Time Markov Chain (DTMC). Observation of the model is used to propose a fair policy of counter selection and resource reselection in ARS. The simulation of the proposed TARS mechanism showed better performance in terms of resource collision probability and the packet delivery ratio when compared with the LTE Mode 4 standard and with a competing approach proposed by Jianhua He et al.Izaz Ahmad KhanSyed Adeel Ali ShahAdnan AkhunzadaAbdullah GaniJoel J. P. C. RodriguesMDPI AGarticleLTE-V2V Mode 43GPPeNodeBresource collisionvehicular networkroad safety applicationsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7431, p 7431 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	LTE-V2V Mode 4 3GPP eNodeB resource collision vehicular network road safety applications Chemical technology TP1-1185
spellingShingle	LTE-V2V Mode 4 3GPP eNodeB resource collision vehicular network road safety applications Chemical technology TP1-1185 Izaz Ahmad Khan Syed Adeel Ali Shah Adnan Akhunzada Abdullah Gani Joel J. P. C. Rodrigues TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4
description	Effective communication in vehicular networks depends on the scheduling of wireless channel resources. There are two types of channel resource scheduling in Release 14 of the 3GPP, i.e., (1) controlled by eNodeB and (2) a distributed scheduling carried out by every vehicle, known as Autonomous Resource Selection (ARS). The most suitable resource scheduling for vehicle safety applications is the ARS mechanism. ARS includes (a) counter selection (i.e., specifying the number of subsequent transmissions) and (b) resource reselection (specifying the reuse of the same resource after counter expiry). ARS is a decentralized approach for resource selection. Therefore, resource collisions can occur during the initial selection, where multiple vehicles might select the same resource, hence resulting in packet loss. ARS is not adaptive towards vehicle density and employs a uniform random selection probability approach for counter selection and reselection. As a result, it can prevent some vehicles from transmitting in a congested vehicular network. To this end, the paper presents Truly Autonomous Resource Selection (TARS) for vehicular networks. TARS considers resource allocation as a problem of locally detecting the selected resources at neighbor vehicles to avoid resource collisions. The paper also models the behavior of counter selection and resource block reselection on resource collisions using the Discrete Time Markov Chain (DTMC). Observation of the model is used to propose a fair policy of counter selection and resource reselection in ARS. The simulation of the proposed TARS mechanism showed better performance in terms of resource collision probability and the packet delivery ratio when compared with the LTE Mode 4 standard and with a competing approach proposed by Jianhua He et al.
format	article
author	Izaz Ahmad Khan Syed Adeel Ali Shah Adnan Akhunzada Abdullah Gani Joel J. P. C. Rodrigues
author_facet	Izaz Ahmad Khan Syed Adeel Ali Shah Adnan Akhunzada Abdullah Gani Joel J. P. C. Rodrigues
author_sort	Izaz Ahmad Khan
title	TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4
title_short	TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4
title_full	TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4
title_fullStr	TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4
title_full_unstemmed	TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4
title_sort	tars: a novel mechanism for truly autonomous resource selection in lte-v2v mode 4
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1c66a9ce006d4576bd3930c82f3f15e1
work_keys_str_mv	AT izazahmadkhan tarsanovelmechanismfortrulyautonomousresourceselectioninltev2vmode4 AT syedadeelalishah tarsanovelmechanismfortrulyautonomousresourceselectioninltev2vmode4 AT adnanakhunzada tarsanovelmechanismfortrulyautonomousresourceselectioninltev2vmode4 AT abdullahgani tarsanovelmechanismfortrulyautonomousresourceselectioninltev2vmode4 AT joeljpcrodrigues tarsanovelmechanismfortrulyautonomousresourceselectioninltev2vmode4
_version_	1718410510048690176

TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4

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