Cognitive Radio Sensing Information-Theoretic Criteria Based

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, one can conclude on the nature of the sensed sub-band. Our theoretical result as well as the empirical results are applied on experimental measurement campaign conducted at the Eur´ecom PLATON Platform. We argue that the Information-Theoretic Criteria give suitable results in terms of sensing the white space in the spectrum with respect to empirical results.
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Contributor : Samir Medina Perlaza <>
Submitted on : Monday, May 19, 2008 - 4:24:29 PM
Last modification on : Thursday, March 29, 2018 - 11:06:03 AM

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  • HAL Id : hal-00280767, version 1

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Majed Haddad, Aawatif Menouni Hayar, Mohamed Hedi Fetoui, Merouane Debbah. Cognitive Radio Sensing Information-Theoretic Criteria Based. 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Aug 2007, Orlando, United States. pp.Annals. ⟨hal-00280767⟩

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