Modelo de predicción de la ocupación espectral para el análisis y diseño de redes de radio cognitiva

Abstract

With the arrival of broadband multimedia applications and the growing demand for access to the information network of mobile devices, it is essential to improve the efficiency in the use of the electromagnetic spectrum to cover the needs of high bit rates proportional to the services multimedia. For this reason, cognitive radio has become one of the most researched paradigms in radio communications to optimize the use of the radio spectrum. Within the spectral mobility of cognitive radio networks, proactive handoff strategies turn out to be the most beneficial for the primary user, given that there is no interference period in which the two users (primary and secondary) coexist; However, the problem with this strategy lies in the precision of the prediction of the arrival of the primary user, that is, in the prediction of the spectral occupancy of the licensed band. This book proposes the development of a spectral occupancy prediction model, which takes into account the relevant characteristics of the spectrum behavior, based on measurements carried out in an urban environment, which can contribute to the improvement of proactive handoff and, therefore, hence, the performance of cognitive radio networks.