Efficient detection of primary users in cognitive radio networks. (1st January 2012)

• Record Type: Journal Article
• Authors: Chen, Xuetao; Bose, Tamal; Hasan, S.M.; Reed, Jeffrey H.
• Is Part Of: International journal of communication networks and distributed systems. Volume 8:Number 3/4(2012)
• Page Start: 267
• Page End: 285
• Publication Date: 2012-01-01
• Subjects: interference measurement -- dynamic spectrum access -- DSA -- support vector machine -- SVM -- channel vacation time; Computer networks -- Periodicals; Telecommunication systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-3916

Abstract

This paper proposes an approach to detect the primary user during the communication of the secondary users, using the concept of interference detection in the presence of a desired signal. The detection problem is first formulated as a multi-class classification problem. The pattern with medium bit error rate (BER) and low interference to signal power ratio (ISR) is identified as the most difficult case. A classifier based on a support vector machine (SVM) is proposed to solve this problem. Simulation results yield 76% classification accuracy with ISR larger than –10 dB and a heterogenous channel condition between the primary link and secondary link. Both the channel vacation time and the usage of idle time can be reduced by the proposed approach.