Paper Info
Title
Network capacity analysis for cellular based cognitive radio VANET in urban grid scenario.
Abstract
The spectrum scarcity of VANETs (Vehicular Ad hoc Networks) can be alleviated by spectrum sharing technology. We present a framework of CCR-VANETs (Cellular-based Cognitive-radio Vehicular Ad hoc Networks). In CCR-VANETs, cellular network performs as primary network while VANET shares the downlink spectrum of cellular network. We consider a scalable urban grid scenario in which vehicles detect available spectrum holes and opportunistically access them according to a carrier-sensing multiple-access protocol. To restrict vehicles’ interference to primary receivers, we set a square preservation region around each particular street block where an active base station is located. The number of street blocks in the preservation region is calculated with the practical assumption that vehicles only know the locations of primary transmitters. We analyze the aggregate interference power from primary and secondary networks, then derive the lower-bound of downlink capacity for the primary network and lower-bound of V2V (Vehicle-to-Vehicle) channel capacity for the secondary network respectively. The numerical results demonstrate the impacts of different network parameters on inter-networks interference level and network capacities.
Year
DOI
Venue
2017
10.1007/s41650-017-0024-8
J. Comm. Inform. Networks
Keywords
DocType
Volume
cognitive radio, VANET, cellular networks, CSMA, network capacity
Journal
2
Issue
ISSN
Citations 
2
2096-1081
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Xinxin He1176.25
hang zhang23116.05
Tao Luo3268.50
Weisen Shi424216.00