Multi-Channel Cooperative Spectrum Sensing in Cognitive Radio Networks

Ji-Hoon LEE  Woo-Jin SONG  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E96-A   No.9   pp.1909-1913
Publication Date: 2013/09/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E96.A.1909
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Communication Theory and Signals
Keyword: 
cognitive radio,  cooperative spectrum sensing,  multi-channel,  cooperator selection,  reinforcement learning,  

Full Text: PDF>>
Buy this Article




Summary: 
Spectrum sensing is one of the main functions in cognitive radio networks. To improve the sensing performance and increase spectrum efficiency, a number of cooperative spectrum sensing methods have been proposed. However, most of these methods focused on a single-channel environment. In this letter, we present a novel cooperative spectrum sensing method based on cooperator selection in a multi-channel cognitive radio network. Using reinforcement learning, a cognitive radio user can select reliable and robust cooperators, without any a priori knowledge. Using the proposed method, a cognitive radio user can achieve better sensing capability and overcome performance degradation problems due to malicious users or erratic user behavior. Numerical results show that the proposed method can achieve excellent performance.