TY - JOUR
T1 - A Survey on Resource Allocation in Vehicular Networks
AU - Noor-A-Rahim, Md
AU - Liu, Zilong
AU - Lee, Haeyoung
AU - Ali, G. G.Md Nawaz
AU - Pesch, Dirk
AU - Xiao, Pei
N1 - © 2000-2011 IEEE.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - 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.
AB - 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.
KW - autonomous driving
KW - cellular V2X
KW - DSRC V2X
KW - Intelligent transportation system
KW - machine learning
KW - network slicing
KW - resource allocation
KW - vehicular network
UR - http://www.scopus.com/inward/record.url?scp=85093704152&partnerID=8YFLogxK
U2 - 10.1109/TITS.2020.3019322
DO - 10.1109/TITS.2020.3019322
M3 - Article
AN - SCOPUS:85093704152
SN - 1524-9050
VL - 23
SP - 701
EP - 721
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 2
ER -