Research Of Spectrum Optimization Management Based On Game Theoretic

With the development of radio technology and related applications, the available spectrum resources become precious and scarce resources. On the other hand, the utilization rate of authorized spectrum which has been allocated out is very low. In cognitive radio network, cognitive users are permitted to compete for idle spectrum only if they do not interfere with the normal work of primary users. Then, we can realize the reutilization of spectrum resources and improve the spectrum utilization rate. In order to solve the problem of spectrum sharing, game theory has become one of the important tools.This thesis mainly makes use of game theory to study dynamic allocation policy of free spectrum. Firstly, the thesis makes a brief analysis of research background, and illustrates the definition, characteristics and main functions of cognitive radio and existing spectrum allocation technology in cognitive radio. On the other hand, we shortly introduce basic concept of game theory and discuss the advantage of game theory for solving the problem of spectrum sharing in cognitive radio. Secondly, in order to realize distributed dynamic spectrum allocation in cognitive radio network, an allocation strategy based on the bargaining game is presented. And we design the corresponding allocation algorithm which realizes dynamic spectrum allocation effectively and improve network performance. Then, through combining cross-layer ideas and bargain mechanism, we further analysis the problem of joint power and bandwidth resources allocation in cognitive radio network. We built a multiple constraints optimization model aimed at maximizing system throughput and present the joint allocation algorithm based on the optimization model which effectively improve the spectrum efficiency and system throughput. Lastly, the thesis make use of mixed strategy game to model dynamic channel access problem and study optimal mixed strategy when users access channels dynamically. The strategy improves the security of dynamic channel access for reducing the interference of malicious users and conflict of users.