Parameters Optimization of Cognitive Radio Based on DNA Genetic Algorithm

Abstract

Cognitive Radio (CR) system can adjust transmission parameters dynamically to improve its performance according to the wireless environment and users requirements. Cognitive radio parameters optimization is a multi-objective optimization problem (MOP). This paper presents a DNA multi-objective genetic algorithm (DNA-GA) based on non-dominated sorting to optimize the CR parameters. Non-dominated sorting and clone operator are used to converge to the global Pareto-optimal front. The simulation results show that DNA-GA is able to improve the search capability and get good population diversity by leading genetic manipulation. DNA-GA is feasible and valid in the parameters optimization of CR.