Spectrum sensing in low SNR: Diversity combining and cooperative communications

Author

Atapattu, Saman ; Tellambura, Chintha ; Jiang, Hai

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada

fYear

2011

Firstpage

13

Lastpage

17

Abstract

In this paper, the detection performance of an energy detector used for cooperative spectrum sensing in cognitive radio networks is investigated under very low signal-to-noise ratio (SNR) levels. The analysis focuses on the derivation of closed-form expressions for the false-alarm and the average missed-detection probabilities for two cases over different fading channels: (i) with diversity combining; and (ii) with cooperative communications. The detection threshold is optimized by minimizing the total error rate. The analysis is validated by numerical and semi-analytical Monte-Carlo simulation results, which focus on the sensing requirements defined in IEEE 802.22.

Keywords

Monte Carlo methods; cooperative communication; diversity reception; IEEE 802.22; Monte-Carlo simulation; SNR levels; average missed-detection probabilities; closed-form expressions; cooperative communications; cooperative spectrum sensing; diversity combining; low SNR; signal-to-noise ratio; Cognitive radio; Detectors; Diversity reception; Error analysis; Fading; Signal to noise ratio; Cognitive radio; cooperative communications; diversity combining; energy detection; spectrum sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on

Conference_Location

Kandy

Print_ISBN

978-1-4577-0032-3

Type

conf

DOI

10.1109/ICIINFS.2011.6038032

Filename

6038032