Evolutionary algorithm for dynamic spectrum allocation in cognitive radio system

Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover and mutation operators are developed to keep the channel allocation plan always in the appropriate state. Based on these techniques, reasonable implementation is proposed. Results demonstrate that our algorithm obtains satisfactory results with all satisfying network interference and reduce the number of used channels.