Modelo Neuro Difuso para la Predicción de la Ocupación Espectral

Abstract

Modeling spectral occupancy in cognitive radio networks facilitate the prediction of the primary user’s activity and contribute to an efficient use of the radio-electric spectrum. The purpose of this article is to develop a neuro-fuzzy model to predict the spectral occupancy in a Wi-Fi network (2.4 to 2.5 GHz). To achieve this, the ANFIS algorithm is implemented and its performance is evaluated for two types of membership functions, through the comparison of their results. The obtained results validate the performance of the neuro-diffuse model and its usefulness within cognitive wireless networks.