An Improved Eigenvalue-Based Algorithm for Cooperative Spectrum Sensing

Author

Yang, Miao ; An, Jianping ; Bu, Xiangyuan ; Sun, Lei

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

Spectrum sensing is one of the most challenging issues in cognitive spectrum sensing. In this paper, an improved eigenvalue based algorithm is proposed using Random Matrix Theory. This improved method overcomes the effect of noise uncertainty exiting in other method, for the good nature of Random Matrix Theory. In addition, it has better detecting probability in both AWGN and fading channels. Also in this paper, the thresholds of the algorithm are deduced and calculated. Performance of the proposed algorithm is simulated and analyzed. Compared with MME and LSC method, the results show that it has better performance in detecting probability and the sensing time.

Keywords

AWGN channels; cognitive radio; eigenvalues and eigenfunctions; fading channels; matrix algebra; LSC method; MME method; cognitive spectrum sensing; cooperative spectrum sensing; fading channels; improved eigenvalue based algorithm; noise AWGN channels; random matrix theory; Cognitive radio; Covariance matrix; Eigenvalues and eigenfunctions; Fading; Sensors; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3708-5

Electronic_ISBN

978-1-4244-3709-2

Type

conf

DOI

10.1109/WICOM.2010.5600819

Filename

5600819