Paper Title
Analysis of Primary User Modeling Activity on Cognitive Radio Wireless Networks

Abstract
Cognitive radio networks (CRN) are an important paradigm aimed at solving the problems related to efficient and dynamic management of the usable spectrum on wireless networks. Objective: This article attempts to deploy the algorithms presented in [1] (flowchart of the clustering engine and flowchart of the modeling engine) in order to model the activity of a primary user applying these algorithms to traffic flows on a cognitive radio wireless network. Results: It was found that for WiFi networks, the PUs characterization is not sufficiently valid. Index Terms� Cognitive Radio, Modeling, Wireless, Primary User.