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COOPERATIVE MIMO SPECTRUM SENSING BASED ON RANDOM MATRIX THEORY

COOPERATIVE MIMO SPECTRUM SENSING BASED ON RANDOM MATRIX THEORY
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摘要 Random Matrix Theory (RMT) is a valuable tool for describing the asymptotic behavior of multiple systems,especially for large matrices. In this paper,using asymptotic random matrix theory,a new cooperative Multiple-Input Multiple-Output (MIMO) scheme for spectrum sensing is proposed,which shows how asymptotic free property of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for Cognitive Radios (CRs). Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance compared with the energy detection techniques even in the case of a small sample of observations. Random Matrix Theory (RMT) is a valuable tool for describing the asymptotic behavior of multiple systems, especially for large matrices. In this paper, using asymptotic random matrix theory, a new cooperative Multiple-Input Multiple-Output (MIMO) scheme for spectrum sensing is proposed, which shows how asymptotic free property of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for Cognitive Radios (CRs). Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance compared with the energy detection techniques even in the case of a small sample of observations.
出处 《Journal of Electronics(China)》 2010年第2期190-196,共7页 电子科学学刊(英文版)
基金 Supported by the National Natural Science Foundation of China (No.60972039) Natural Science Foundation of Jiangsu Province (No.BK2007729) Natural Science Funding of Jiangsu Province (No.06KJA51001)
关键词 Cognitive Radio (CR) network Spectrum sensing Random Matrix Theory (RMT) Free probability Wishart distribution Cognitive Radio (CR) network Spectrum sensing Random Matrix Theory (RMT) Free probability Wishart distribution
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