Title: Efficient detection of primary users in cognitive radio networks

Authors: Xuetao Chen; Tamal Bose; S.M. Hasan; Jeffrey H. Reed

Addresses: Bradley Department of Electrical and Computer Engineering, Wireless@VT, 432 Durham Hall, Virginia Tech, Blacksburg, VA 24061, USA. ' Bradley Department of Electrical and Computer Engineering, Wireless@VT, 432 Durham Hall, Virginia Tech, Blacksburg, VA 24061, USA. ' Bradley Department of Electrical and Computer Engineering, Wireless@VT, 432 Durham Hall, Virginia Tech, Blacksburg, VA 24061, USA. ' Bradley Department of Electrical and Computer Engineering, Wireless@VT, 432 Durham Hall, Virginia Tech, Blacksburg, VA 24061, USA

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.

Keywords: interference measurement; dynamic spectrum access; DSA; support vector machine; SVM; channel vacation time; primary users; cognitive radio networks; secondary users; primary user detection; idle time.

DOI: 10.1504/IJCNDS.2012.046361

International Journal of Communication Networks and Distributed Systems, 2012 Vol.8 No.3/4, pp.267 - 285

Published online: 30 Aug 2014 *

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