Cognitive Radio Sensing Information-Theoretic Criteria Based
Résumé
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.