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International Journal of Digital Multimedia Broadcasting
Volume 2010, Article ID 160462, 8 pages
http://dx.doi.org/10.1155/2010/160462
Research Article

Fast Detection Method in Cooperative Cognitive Radio Networks

Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60626, USA

Received 1 December 2009; Revised 13 May 2010; Accepted 8 June 2010

Academic Editor: Hsiao Hwa Chen

Copyright © 2010 Zhengyi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Cognitive Radio (CR) technology improves the utilization of spectrum highly via opportunistic spectrum sharing, which requests fast detection as the spectrum utilization is dynamic. Taking into consideration the characteristic of wireless channels, we propose a fast detection scheme for a cooperative cognitive radio network, which consists of multiple CRs and a central control office. Specifically, each CR makes individual detection decision using the sequential probability ratio test combined with Neyman Pearson detection with respect to a specific observation window length. The proposed method upper bounds the detection delay. In addition, a weighted out of fusion rule is also proposed for the central control office to reach fast global decision based on the information collected from CRs, with more weights assigned for CRs with good channel conditions. Simulation results show that the proposed scheme can achieve fast detection while maintaining the detection accuracy.