Comparison of spectrum sensing methods for cognitive radio under low SNR

Author

Garello, Roberto ; Jia, Yifan

Author_Institution

Dipt. di Elettron., Politec. di Torino, Turino, Italy

fYear

2011

fDate

12-16 Sept. 2011

Firstpage

886

Lastpage

889

Abstract

In this paper we compare several popular and top performing spectrum sensing algorithms for cognitive radio under low signal to noise ratio scenario, namely the Energy Detection, the Cyclostationary Detection, and the Eigenvalue based Detection. Especially, when auxiliary sensing slots are available, we incorporate modified hybrid algorithms that can exploit the auxiliary information into comparison. Simulation results based on QPSK primary signal are given, in the form of ROC curves, SNR gains and auxiliary gains for pre-defined false alarm probability and detection probability. These results can be useful for proper design of spectrum sensing algorithms under low SNR.

Keywords

cognitive radio; eigenvalues and eigenfunctions; probability; quadrature phase shift keying; signal detection; signal reconstruction; QPSK primary signal; ROC curves; SNR gain; auxiliary gain; cognitive radio; cyclostationary detection; detection probability; eigenvalue based detection; energy detection; modified hybrid algorithm; pre-defined false alarm probability; sensing slots; signal to noise ratio; spectrum sensing algorithm; spectrum sensing method; Eigenvalues and eigenfunctions; Noise level; Probability; Sensors; Signal to noise ratio; Simulation; cognitive radio; signal detection; spectrum sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation in Wireless Communications (APWC), 2011 IEEE-APS Topical Conference on

Conference_Location

Torino

Print_ISBN

978-1-4577-0046-0

Type

conf

DOI

10.1109/APWC.2011.6046809

Filename

6046809