Title :
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
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;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6036696
