Cognitive Radio Decision Engine Based On Genetic Algorithm

Currently, spectrum is allocated into authorized and unauthorized frequency bands, and most pre-allocated parts are the authorized frequency bands. As the rapidly development of wireless communication technology, the shortage of non-authorized band spectrum is becoming a bottleneck restricting the development of wireless technology. On the other hand, resource utilization of licensed spectrum is very low both in time dimension and spatial dimension. Cognitive radio technology is proposed to solve this problem.This paper introduces the background and the definition of cognitive radio technology. Dividing the main technology into four areas, spectrum sensing, spectrum tailoring, spectrum allocation and parameter setting, how to achieve cognitive radio's basic needs is introduced, as well as the current study in this area.'The core of cognitive radio is to adjustment means of communication intelligently to improve spectrum utilization under the conditions of insuring the main user communications, so it can be abstract as a optimization problem from a huge solution space in nature.The second chapter introduces the ideal method to solve such problems, genetic algorithm, and shows the characteristics and environmental conditions of the genetic operators with simulation experiments. In the third part, a implement with cognitive radio decision engine is introduced. After describing the design of cognitive radio decision engine, a decision engine based on standard genetic is implemented as an example. In Chapter IV, through analysis of the lack of current research on cognitive, based on the relevant research in Chapter II, two genetic operators are designed to enhance the performance of cognitive radio decision engine. The simulation shows the performance.of these two operators and theoretical analysis shows that they can be widely applied to variety of current cognitive radio decision engine based on genetic algorithm.