Application research of evolution in cognitive radio based on GA

Abstract

With the fast development of cognitive radio, best decision problem in cognitive radio receives considerable attention. This paper introduces the research of cognitive radio. Genetic algorithm and itpsilas applications in decision maker are introduced. Based on biologic evolution principle, genetic algorithm can get the system best parameters by dominant character. The cognitive cycle and genetic algorithm are introduced. Based on genetic algorithm, the genes and chromosomes of cognitive are proposed. Under different fitness rules, the cases of biologically inspired cognitive radio are studied. The limitation of Rieserpsilas CR mode based on GA is analyzed. The proposal for improvement is studied.