Cooperative Spectrum Sensing Using Free Probability Theory

Lei WANG  Baoyu ZHENG  Qingmin MENG  Chao CHEN  

Publication
IEICE TRANSACTIONS on Communications   Vol.E93-B   No.6   pp.1547-1554
Publication Date: 2010/06/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E93.B.1547
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
Keyword: 
cognitive radio network,  spectrum sensing,  random matrix theory,  free probability theory,  Wishart distribution,  

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Summary: 
Free probability theory, which has become a main branch of random matrix theory, is a valuable tool for describing the asymptotic behavior of multiple systems, especially for large matrices. In this paper, using asymptotic free probability theory, a new cooperative scheme for spectrum sensing is proposed, which shows how the asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radio. Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance than the energy detection techniques and the Maximum-minimum eigenvalue (MME) scheme even for the case of a small sample of observations.