Fast Detection Method in Cooperative Cognitive Radio Networks

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 cooperativ...

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Main Authors: Zhengyi Li, Lin Liu, Chi Zhou
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2010/160462
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author Zhengyi Li
Lin Liu
Chi Zhou
author_facet Zhengyi Li
Lin Liu
Chi Zhou
author_sort Zhengyi Li
collection DOAJ
description 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 K out of N 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.
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series International Journal of Digital Multimedia Broadcasting
spelling doaj-art-a50cb5a2baf647598dc83ef2bada36a02025-08-20T02:23:06ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862010-01-01201010.1155/2010/160462160462Fast Detection Method in Cooperative Cognitive Radio NetworksZhengyi Li0Lin Liu1Chi Zhou2Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60626, USADepartment of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60626, USADepartment of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60626, USACognitive 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 K out of N 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.http://dx.doi.org/10.1155/2010/160462
spellingShingle Zhengyi Li
Lin Liu
Chi Zhou
Fast Detection Method in Cooperative Cognitive Radio Networks
International Journal of Digital Multimedia Broadcasting
title Fast Detection Method in Cooperative Cognitive Radio Networks
title_full Fast Detection Method in Cooperative Cognitive Radio Networks
title_fullStr Fast Detection Method in Cooperative Cognitive Radio Networks
title_full_unstemmed Fast Detection Method in Cooperative Cognitive Radio Networks
title_short Fast Detection Method in Cooperative Cognitive Radio Networks
title_sort fast detection method in cooperative cognitive radio networks
url http://dx.doi.org/10.1155/2010/160462
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AT linliu fastdetectionmethodincooperativecognitiveradionetworks
AT chizhou fastdetectionmethodincooperativecognitiveradionetworks