A Survey on Resource Allocation in Vehicular Networks

Noor-A-Rahim, Md., Liu, Zilong, Lee, Haeyoung, Nawaz Ali, G. G. Md., Pesch, Dirk and Xiao, Pei (2020) A Survey on Resource Allocation in Vehicular Networks IEEE Transactions on Intelligent Transportation Systems.

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Abstract

Vehicular networks, an enabling technology for Intelligent Transportation System (ITS), smart cities, and autonomous driving, can deliver numerous on-board data services, e.g., road-safety, easy navigation, traffic efficiency, comfort driving, infotainment, etc. Providing satisfactory quality of service (QoS) in vehicular networks, however, is a challenging task due to a number of limiting factors such as hostile wireless channels (e.g., high mobility or asynchronous transmissions), increasingly fragmented and congested spectrum, hardware imperfections, and explosive growth of vehicular communication devices. Therefore, it is highly desirable to allocate and utilize the available wireless network resources in an ultra-efficient manner. In this paper, we present a comprehensive survey on resource allocation (RA) schemes for a range of vehicular network technologies including dedicated short range communications (DSRC) and cellular based vehicular networks. We discuss the challenges and opportunities for resource allocations in modern vehicular networks and outline a number of promising future research directions.

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :	Name Email ORCID Noor-A-Rahim, Md. Liu, Zilong zilong.liu@surrey.ac.uk Lee, Haeyoung haeyoung.lee@surrey.ac.uk Nawaz Ali, G. G. Md. Pesch, Dirk Xiao, Pei P.Xiao@surrey.ac.uk
Date :	2020
Funders :	Science Foundation Ireland (SFI), European Union's Horizon 2020, Engineering and Physical Sciences Research Council (EPSRC)
Grant Title :	European Regional Development Fund
Copyright Disclaimer :	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords :	Intelligent Transportation System; Vehicular network; Autonomous Driving; DSRC V2X; Cellular V2X; Resource Allocation; Network Slicing; Machine Learning
Related URLs :	Publisher
Depositing User :	Clive Harris
Date Deposited :	21 Aug 2020 16:32
Last Modified :	21 Aug 2020 16:32
URI:	http://epubs.surrey.ac.uk/id/eprint/858471

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