Noor-A-Rahim, Md and Liu, Zilong and Lee, Haeyoung and Ali, GG Md Nawaz and Pesch, Dirk and Xiao, Pei (2020) A Survey on Resource Allocation in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23 (2). pp. 701-721. DOI https://doi.org/10.1109/tits.2020.3019322
Noor-A-Rahim, Md and Liu, Zilong and Lee, Haeyoung and Ali, GG Md Nawaz and Pesch, Dirk and Xiao, Pei (2020) A Survey on Resource Allocation in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23 (2). pp. 701-721. DOI https://doi.org/10.1109/tits.2020.3019322
Noor-A-Rahim, Md and Liu, Zilong and Lee, Haeyoung and Ali, GG Md Nawaz and Pesch, Dirk and Xiao, Pei (2020) A Survey on Resource Allocation in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23 (2). pp. 701-721. DOI https://doi.org/10.1109/tits.2020.3019322
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 erroneous and congested wireless channels (due to high mobility or uncoordinated channel-access), increasingly fragmented and congested spectrum, hardware imperfections, and anticipated growth of vehicular communication devices. Therefore, it will be critical 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 schemes for the two dominant vehicular network technologies, e.g. 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 |
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Uncontrolled Keywords: | Intelligent transportation system; vehicular network; autonomous driving; DSRC V2X; cellular V2X; resource allocation; network slicing; machine learning |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Jul 2021 10:21 |
Last Modified: | 30 Oct 2024 16:28 |
URI: | http://repository.essex.ac.uk/id/eprint/30466 |
Available files
Filename: 1909.13587.pdf