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Title	A Survey On Resource Allocation In Vehicular Networks
ID_Doc	5315
Authors	Noor-A-Rahim M.; Liu Z.; Lee H.; Ali G.G.M.N.; Pesch D.; Xiao P.
Year	2022
Published	IEEE Transactions on Intelligent Transportation Systems, 23, 2
DOI	http://dx.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. © 2000-2011 IEEE.
Author Keywords	autonomous driving; cellular V2X; DSRC V2X; Intelligent transportation system; machine learning; network slicing; resource allocation; vehicular network

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