Spectrum allocation of cognitive radio network based on optimized genetic algorithm in underlay network

Abstract

By analyzing physical connection of cognitive radio network, underlay color-sensitive graph coloring (UCSGC) model which is used in underlay spectrum allocation is proposed here. After analyzing, color-sensitive graph coloring (CSGC) is a special UCSGC. Under the model, this paper gives an Optimized Genetic Algorithm (OGA) to maximize the benefits of the network. The algorithm not only is convergent, but can avoid the remaining local optima by randomly adding the individuals. Finally, the proposed method was demonstrated by the experimental results.