DocumentCode :
3680417
Title :
Robust non-negative matrix factorization for joint spectrum sensing and primary user localization in cognitive radio networks
Author :
Z. Hu;Raghuram Ranganathan;Changchun Zhang;R. C. Qiu;Michael Bryant;M. C. Wicks;Lily Li
Author_Institution :
Cognitive Radio Insitute, Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Technological University, Cookeville, Tennessee 38505, USA
fYear :
2012
Firstpage :
303
Lastpage :
307
Abstract :
In this paper, a novel approach based on non-negative matrix factorization is applied for joint spectrum sensing and primary user localization in cognitive radio networks. This approach is robust and tolerant to sparse, yet strong interference caused by malicious attack or false data injection. Simulation results clearly indicate that the proposed method is highly effective in yielding low localization error for various strengths and degrees of sparsity of interferer. It is also shown that the localization performance significantly increases with the number of cognitive radios deployed.
Keywords :
"Cognitive radio","Robustness","Sparse matrices","Interference","Simulation","Sensors","Matrix decomposition"
Publisher :
ieee
Conference_Titel :
Waveform Diversity & Design Conference (WDD), 2012 International
Type :
conf
DOI :
10.1109/WDD.2012.7311260
Filename :
7311260
Link To Document :
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