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.
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This work is supported in part by the National Natural Science Foundation of China (Nos. 61271184, 61571065).
Xinxin He [corresponding author] is currently a Ph.D. candidate in School of Information and Communication Engineering, Beijing University of Posts and Telecommunications. She received her M.S. degree from Kunming University of Science and Technology in 2013 and B.S. degree from Nangjing University of Posts and Telecommunications in 2009. Her research interests include VANET and cognitive radio networks.
Hang Zhang is currently a M.S. candidate in School of Information and Communication Engineering, Beijing University of Posts and Telecommunications. She received her B.S. degree from Xian Jiaotong University in 2014. Her research interests include Ad hoc networks and cognitive radio networks.
Tao Luo is Ph.D., IEEE senior member, professor in Beijing University of Posts and Telecommunications. His research interests include mobile communication, cognitive radio networks and WAVE (Wireless Access in Vehicular Environment).
Weisen Shi is currently a Ph.D. candidate in Department of Electrical and Computer Engineering, University of Waterloo. He received M.S. degree from Beijing University of Posts and Telecommunications in 2016, and B.S. degree from Tianjin University in 2013. His research interests include Internet of Vehicles and software defined network.
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He, X., Zhang, H., Luo, T. et al. Network capacity analysis for cellular based cognitive radio VANET in urban grid scenario. J. Commun. Inf. Netw. 2, 136–146 (2017). https://doi.org/10.1007/s41650-017-0024-8
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DOI: https://doi.org/10.1007/s41650-017-0024-8