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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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Main Authors:	Izaz Ahmad Khan, Syed Adeel Ali Shah, Adnan Akhunzada, Abdullah Gani, Joel J. P. C. Rodrigues
Format:	Article
Language:	English
Published:	MDPI 2021
Subjects:	QA75.5-76.95 Electronic computers. Computer science T1-995 Technology (General)
Online Access:	https://eprints.ums.edu.my/id/eprint/42499/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42499/ https://doi.org/10.3390/s21227431
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id	my.ums.eprints.42499
record_format	eprints
spelling	my.ums.eprints.424992024-12-31T03:20:17Z https://eprints.ums.edu.my/id/eprint/42499/ TARS: a novel mechanism for truly autonomous resource selection in LTE-V2V Mode 4 Izaz Ahmad Khan Syed Adeel Ali Shah Adnan Akhunzada Abdullah Gani Joel J. P. C. Rodrigues QA75.5-76.95 Electronic computers. Computer science T1-995 Technology (General) 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. MDPI 2021 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42499/1/FULL%20TEXT.pdf Izaz Ahmad Khan and Syed Adeel Ali Shah and Adnan Akhunzada and Abdullah Gani and Joel J. P. C. Rodrigues (2021) TARS: a novel mechanism for truly autonomous resource selection in LTE-V2V Mode 4. Sensors, 21. pp. 1-17. https://doi.org/10.3390/s21227431
institution	Universiti Malaysia Sabah
building	UMS Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sabah
content_source	UMS Institutional Repository
url_provider	http://eprints.ums.edu.my/
language	English
topic	QA75.5-76.95 Electronic computers. Computer science T1-995 Technology (General)
spellingShingle	QA75.5-76.95 Electronic computers. Computer science T1-995 Technology (General) 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
publishDate	2021
url	https://eprints.ums.edu.my/id/eprint/42499/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42499/ https://doi.org/10.3390/s21227431
_version_	1821003225647546368
score	13.235362

TARS: a novel mechanism for truly autonomous resource selection in LTE-V2V Mode 4

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