Title :
CRAVE: Cognitive radio enabled vehicular communications in heterogeneous networks
Author :
Rawat, Danda B. ; Yanxiao Zhao ; Gongjun Yan ; Min Song
Author_Institution :
Eastern Kentucky Univ., Richmond, KY, USA
Abstract :
In this paper, we investigate CRAVE: Cognitive RAdio enabled VEhicular communication in heterogeneous wireless systems. Vehicular users are considered as unlicensed/secondary users and are capable of sensing, analyzing and accessing the spectrum opportunities dynamically. A three-state model is implemented for spectrum sensing where spectrum occupancy is categorized as idle, occupied by licensed users, or occupied by vehicular users. Simulation results show that the three-state model in CRAVE results in enhanced channel utilization with higher throughput and better transmission fairness for vehicular users.
Keywords :
cognitive radio; mobile radio; radio spectrum management; CRAVE; cognitive radio enabled vehicular communications; enhanced channel utilization; heterogeneous wireless networks; heterogeneous wireless systems; spectrum occupancy; spectrum sensing; three-state model; transmission fairness; Cognitive radio; Indexes; Sensors; Throughput; Vehicles; Vehicular ad hoc networks; Cognitive Radio Enabled Vehicular Network; Cognitive VANETs; Vehicular Networks;
Conference_Titel :
Radio and Wireless Symposium (RWS), 2013 IEEE
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4673-2929-3
Electronic_ISBN :
2164-2958
DOI :
10.1109/RWS.2013.6486684
