MULTIFRACTAL MODELING OF THE RADIO ELECTRIC SPECTRUM APPLIED IN COGNITIVE RADIO NETWORKS

The work discussed in this article is framed within the context of cognitive networks in America, showcasing the scenario of the radioelectric spectrum of the city of Bogotá, Colombia. The objective is to model the traffic of the wireless network, since it is underused in this region of Latin America. Hence, some tools are studied to allow the structuring of the type of traffic seen in the network. Based on stochastic tools such as the log-scale diagram, the linear multiscale diagram, and the multifractal spectrum, this research aims to verify the multifractality of traffic series collected on the electric radio spectrum of Bogotá, Colombia in 2012. In fact, the study reveals that all the channels of the network have a multifractal behavior with 90% of them presenting a Hurst parameter in the 0.5 to 1 range. The evidence suggests that the traffic in this region could be modeled as multifractal time series. Therefore, the analysis carried out intends to provide a new modeling method for the Colombian radioelectric spectrum in the form of a multifractal-based analysis.