Cooperative Spectrum Sensing Using Finite Demmel Condition Numbers

A novel and robust cooperative spectrum sensing scheme based on the exact distributions of Demmel Condition Number (DCN) of finite Wishart matrix is proposed in this paper. We also provide a new and simple method to determine the coefficient vector for the distribution of smallest eigenvalue, which is the key part in the generation of DCN distributions. A simple and exact expression of Cumulative Distribution Function of DCN for arbitrary matrix sizes is originally given to determine the theoretical threshold of the proposed spectrum sensing scheme.The simulations indicate that the proposed scheme can achieve better spectrum sensing performance comparing with conventional asymptotic methods based on infinite random matrix theory, and more importantly, the proposed algorithm is more robust against noise uncertainty.

[1]  F. Götze,et al.  Rate of convergence in probability to the Marchenko-Pastur law , 2004 .

[2]  Caijun Zhong,et al.  Distribution of the Demmel Condition Number of Wishart Matrices , 2011, IEEE Transactions on Communications.

[3]  Pascal Bianchi,et al.  Cooperative spectrum sensing using random matrix theory , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[4]  Wensheng Zhang,et al.  Spectrum Sensing Algorithms via Finite Random Matrices , 2012, IEEE Transactions on Communications.

[5]  Pascal Bianchi,et al.  Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory , 2009, IEEE Transactions on Information Theory.

[6]  Ranjan K. Mallik,et al.  Analysis of transmit-receive diversity in Rayleigh fading , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[7]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[8]  Yonghong Zeng,et al.  Eigenvalue-based spectrum sensing algorithms for cognitive radio , 2008, IEEE Transactions on Communications.

[9]  Matthew R. McKay,et al.  Exact Demmel Condition Number Distribution of Complex Wishart Matrices via the Mellin Transform , 2011, IEEE Communications Letters.

[10]  A. Soshnikov A Note on Universality of the Distribution of the Largest Eigenvalues in Certain Sample Covariance Matrices , 2001, math/0104113.

[11]  Roberto Garello,et al.  Cooperative spectrum sensing based on the limiting eigenvalue ratio distribution in wishart matrices , 2009, IEEE Communications Letters.

[12]  Kwang Bok Lee,et al.  Statistical Multimode Transmit Antenna Selection for Limited Feedback MIMO Systems , 2008, IEEE Transactions on Wireless Communications.

[13]  Noureddine El Karoui A rate of convergence result for the largest eigenvalue of complex white Wishart matrices , 2004, math/0409610.

[14]  Olivier Besson,et al.  CFAR matched direction detector , 2006, IEEE Transactions on Signal Processing.

[15]  Yonghong Zeng,et al.  Cooperative Covariance and Eigenvalue Based Detections for Robust Sensing , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[16]  A. Edelman On the distribution of a scaled condition number , 1992 .

[17]  A. James Distributions of Matrix Variates and Latent Roots Derived from Normal Samples , 1964 .

[18]  Roberto Garello,et al.  Performance of Eigenvalue-Based Signal Detectors with Known and Unknown Noise Level , 2011, 2011 IEEE International Conference on Communications (ICC).

[19]  Josef A. Nossek,et al.  On the condition number distribution of complex wishart matrices , 2010, IEEE Transactions on Communications.

[20]  J. Demmel The Probability That a Numerical, Analysis Problem Is Difficult , 2013 .

[21]  K. J. Ray Liu,et al.  Advances in cognitive radio networks: A survey , 2011, IEEE Journal of Selected Topics in Signal Processing.

[22]  Liljana Gavrilovska,et al.  Spectrum Sensing Framework for Cognitive Radio Networks , 2011, Wirel. Pers. Commun..

[23]  Antonia Maria Tulino,et al.  Random Matrix Theory and Wireless Communications , 2004, Found. Trends Commun. Inf. Theory.

[24]  C. Tracy,et al.  Mathematical Physics © Springer-Verlag 1996 On Orthogonal and Symplectic Matrix Ensembles , 1995 .