Escalabilidad de redes macro - femtocelulares bajo el agrupamiento de femtoceldas

Abstract

The increase in mobile data traffic requires solutions according to its growth, which is why the dense deployment of femtocells is an optimal solution to deal with these problems. The problem of resource allocation in a dense deployment of femtocells through the formation of groups is addressed. This work aims to apply an evolutionary game, where the femtocells decide which group to belong to based on a reward obtained. To form stable groups, the dynamics of the replicator are used, where the reward defines its stability. The particle swarm optimization algorithm (PSO) is used to allocate resources within each stable group. The proposed model is compared with a reference model with weighted water filling as a resource allocation algorithm, and the second model does not take into account the grouping of femtocells. The results demonstrate that the proposed model is capable of increasing the system performance and improving user satisfaction.