Research Article
Cognitive Radio Sensing Information-Theoretic Criteria Based
@INPROCEEDINGS{10.1109/CROWNCOM.2007.4549803, author={Majed Haddad and Aawatif Menouni Hayar and Mohamed Hedi Fetoui and M\^{e}rouane Debbah}, title={Cognitive Radio Sensing Information-Theoretic Criteria Based}, proceedings={2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={6}, keywords={Bandwidth Cognitive radio Computer vision Covariance matrix Detectors Frequency Interference Signal processing White spaces Wireless sensor networks}, doi={10.1109/CROWNCOM.2007.4549803} }- Majed Haddad
Aawatif Menouni Hayar
Mohamed Hedi Fetoui
Mérouane Debbah
Year: 2008
Cognitive Radio Sensing Information-Theoretic Criteria Based
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2007.4549803
Abstract
In this paper, we explore the Information- Theoretic Criteria, namely, Akaikes Information Criterion (AIC) and Minimum Description Length (MDL) as a tool to sense vacant sub-band over the spectrum bandwidth. The proposed technique is motivated by the fact that an idle sub-band (Normal process) presents a number of independent eigenvectors appreciably larger than for an occupied sub-band (Non-normal process). It turns out that, based on the number of the independent eigenvectors of a given covariance matrix of the observed signal, one can conclude on the nature of the sensed sub-band. Our theoretical result as well as the empirical results are first applied on experimental measurement campaign conducted at the Eur´ecom PLATON Platform. We then apply our method to an IEEE 802.11b Wireless Fidelity (Wi-Fi) signal in order to analyze the robustness of the proposed approach in presence of increased levels of noise. We argue that the proposed sub-space based techniques give interesting results in terms of sensing the white space in the spectrum.
