A Novel Weighted-Cooperative Spectrum Sensing Scheme Using Clustering

Abstract:

This paper proposes a novel weighted-cooperative spectrum sensing scheme using clustering for cognitive radio system. We firstly classify the secondary users into a few clusters according to several existent methods, and then use cluster-head to collect the observation results come from different secondary users in the same cluster and make a cluster-decision. Considering the different distances between the clusters and the fusion center, different weightings are used to weight the cluster-decisions before combining. The simulation results show that our proposed method improve the probability of detection and reduce the probability of error.

• Periodical: Applied Mechanics and Materials (Volumes 195-196)
• Pages: 277-282
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.195-196.277
• Online since: August 2012
• Authors: Hui Heng Liu, Wei Chen
• Keywords: Clustering, Cognitive Radio (CR), Energy Detection, Fusion Center, Weighted-Cooperative Spectrum Sensing

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