Paper Info
Title
Wideband spectrum sensing for cognitive radio: A model order selection approach
Abstract
Wideband spectrum sensing (SS) allows cognitive radios (CRs) to reach, by monitoring large portions of spectrum, a better awareness of the surrounding radio environment. In this paper, we formulate wideband SS as a model order selection problem. This approach consists in the adoption of information theoretic criteria (ITC) to identify the occupied frequency components in a frequency domain representation of the observed signal. We provide a general formulation of the problem and then focus on the case in which discrete Fourier transform (DFT) is used as spectral representation. Finally, we propose consistent ITC for which we provide analytical expressions for the maximum probability of detection.
Year
DOI
Venue
2014
10.1109/ICC.2014.6883515
Communications
Keywords
DocType
ISSN
cognitive radio,discrete Fourier transforms,probability,radio spectrum management,signal detection,signal representation,DFT,ITC,cognitive radio,discrete Fourier transform,frequency domain representation,information theoretic criteria,maximum detection probability,model order selection approach,occupied frequency component identification,spectral representation,wideband spectrum sensing
Conference
1550-3607
Citations 
PageRank 
References 
2
0.36
15
Authors
3
Name
Order
Citations
PageRank
Andrea Mariani11659.14
Andrea Giorgetti224015.57
Marco Chiani31869134.93