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

fYear

2013

Firstpage

190

Lastpage

192

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio and Wireless Symposium (RWS), 2013 IEEE

Conference_Location

Austin, TX

ISSN

2164-2958

Print_ISBN

978-1-4673-2929-3

Electronic_ISBN

2164-2958

Type

conf

DOI

10.1109/RWS.2013.6486684

Filename

6486684