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.
Wideband spectrum sensing for cognitive radio: a model order selection approach / Andrea Mariani; Andrea Giorgetti; Marco Chiani. - ELETTRONICO. - (2014), pp. 1385-1390. (Intervento presentato al convegno IEEE International Conference on Communications (ICC 2014) tenutosi a Sydney, Australia nel June 2014).
Wideband spectrum sensing for cognitive radio: a model order selection approach
MARIANI, ANDREA;GIORGETTI, ANDREA;CHIANI, MARCO
2014
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
