On minimum sensing error with spectrum sensing using counting rule in cognitive radio networks

In cognitive radio networks (CRN), spectrum sensing requires each secondary user to efficiently and effectively detect the presence of primary users. In this paper, we study cooperative spectrum sensing (CSS), which is based on counting rules. Particularly, we first derive the optimal sensing strategy of CSS to minimize the sensing error, and then propose a simple algorithm to calculate the optimal parameter settings for CSS. Numerical results have been conducted and also validated that our proposed approach can achieve satisfying performance.

[1]  Shuguang Cui,et al.  Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Journal of Selected Topics in Signal Processing.

[2]  A. Ghasemi,et al.  Collaborative spectrum sensing for opportunistic access in fading environments , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[3]  Yong In Han,et al.  Randomized fusion rules can be optimal in distributed Neyman-Pearson detectors , 1997, IEEE Trans. Inf. Theory.

[4]  Anant Sahai,et al.  Some Fundamental Limits on Cognitive Radio , 2004 .

[5]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[6]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[7]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[8]  M. Gudmundson Correlation Model for Shadow Fading in Mobile Radio Systems , 1991 .

[9]  D. V. Griffiths,et al.  Numerical Methods for Engineers , 2006 .

[10]  E. Visotsky,et al.  On collaborative detection of TV transmissions in support of dynamic spectrum sharing , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[11]  Venugopal V. Veeravalli,et al.  Cooperative Sensing for Primary Detection in Cognitive Radio , 2008, IEEE Journal of Selected Topics in Signal Processing.

[12]  Peter Willett,et al.  The suboptimality of randomized tests in distributed and quantized detection systems , 1992, IEEE Trans. Inf. Theory.

[13]  H. Urkowitz Energy detection of unknown deterministic signals , 1967 .

[14]  Anant Sahai,et al.  Cooperative Sensing among Cognitive Radios , 2006, 2006 IEEE International Conference on Communications.

[15]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

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