Modelo de decisión espectral colaborativo para redes de radio cognitiva

Abstract

Spectral decision is a key aspect to improve performance in decentralized cognitive radio networks. Secondary users must make intelligent decisions based on spectrum variation and actions taken by other secondary users. From this dynamic, the probability that two or more secondary users choose the same channel is high, especially when the number of secondary users is greater than the number of available channels, due to the negative externality of the network; The more secondary users select the same channel, the less utility each secondary user can obtain and the greater the number of interferences due to simultaneous access. Therefore, to model the network under realistic traffic parameters, it is necessary to take into account the collaboration between secondary users. This research book presents a proposal to improve the decision-making process in a decentralized cognitive radio network, and thus provide the nodes with the ability to learn from the environment, proposing strategies that allow secondary users to exchange information cooperative or competitive.