Evaluación de un algoritmo para selección de oportunidades espectrales en redes inalámbricas cognitivas

Abstract

The cognitive radio networks are an alternative to mitigate the saturation of the radio spectrum in some frequency bands, through a dynamic spectral assignment, where the secondary user opportunistically takes advantage of the free frequency channels of the licensed band of the primary user. In the present article an algorithm is developed to select free frequency channels or spectral opportunities in a cognitive radio network, based on the Artificial Bee Colony method. The evaluation of the proposed algorithm is carried out through simulations that incorporate the real behavior of the primary user, using real spectral occupancy traces, obtained through the spectrum monitoring with the energy detection technique, and having as evaluation criteria, the execution time and the number of failed handoffs. The results show a reduction of 62% in the execution times and 36% in the number of failed handoffs, when going from a bee colony population of 50 to 450.