Research For Dynamic Spectrum Allocation Algorithm In Cognitive Radio

The scarcity of the frequency spectrum is the bottleneck of the wireless communications business and service development. Cognitive radio technology is considered as a new approach to solve the wireless spectrum shortage problem. Cognitive radio technology is a revolutionary wireless communications technology, non-authorized users can intelligently sense the wireless communications environment, search for available spectrum resources, and dynamic spectrum access, choose an idle band which the authorized users don't use temporarily to communicate, thereby enhancing communication system capacity and spectrum efficiency. In this paper, the spectrum allocation in cognitive radio conducted a detailed study and exploration of its analysis methods with the combination of game theory, game theory is proposed based on spectrum allocation algorithm, the algorithm is given in principle and calculation process, and conduct the computer simulation.In this paper, the first chapter of the thesis presents the research background, a brief description of cognitive radio definitions and functions, more detailed exposition of the key cognitive radio technologies and typical applications, and describes the current status of research at home and abroad. In the second chapter, a comprehensive introduction to game theory, including the background and development process, the basic concepts of game theory, game theory models, the classification of game theory, Nash Equilibrium solution, the application of game theory and so on, especially has done a detailed description and analysis of the potential game model for papers that will be applied. In the the third chapter, cognitive radio spectrum allocation and combination of game analysis theory to explain the cognitive radio frequency spectrum sharing game analysis, the basic principles of algorithm design and analysis of proposed issues to be addressed, followed by the establishment of the cognitive radio network spectrum sharing system model, given the spectrum sharing agreement, and on this basis, it puts forward a potential game-based cognitive radio spectrum sharing algorithm. The fourth chapter is the spectrum sharing algorithms in computer simulation, and simulation results demonstrate the convergence of the proposed algorithm. The fifth chapter is the last part of the paper, a summary of the thesis, and the future work is prospected.