A Cooperative Spectrum Sensing Scheme Using Compressive Sampling

Author

Zhao, Dongfeng ; Wang, Chao

Author_Institution

Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2011

fDate

23-25 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

Cooperative spectrum sensing (CSS) schemes utilizing Compress Sampling (CS) enable efficient and reliable CSS for cognitive radio networks. Existing CSS schemes perform CS by random measurement matrixes, and thus suffer from a loss of efficiency. To counteract this drawback, this letter proposes a CS based CSS scheme using measurement matrix exploring the correlation of the primary spectrum. A reconstruction method with low complexity for CS is further investigated. Numerical results are provided to verify the effectiveness of the proposed scheme.

Keywords

cognitive radio; matrix algebra; radio networks; sampling methods; signal reconstruction; telecommunication network reliability; CS; CSS scheme; cognitive radio network; compressive sampling; cooperative spectrum sensing scheme; random measurement matrix; reconstruction method; Cascading style sheets; Cognitive radio; Complexity theory; Correlation; Reconstruction algorithms; Sensors; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on

Conference_Location

Wuhan

ISSN

2161-9646

Print_ISBN

978-1-4244-6250-6

Type

conf

DOI

10.1109/wicom.2011.6036696

Filename

6036696