Analysis of the Performance of Cognitive Radio Networks Based on Game Theory

Today, cognitive radio is used to increase the efficiency of radio-frequency spectrum. Majority of radio frequency sources from frequency spectrum. In general, there are two telecommunications subsystems in the cognitive radio network. The first subsystem has the permit to use the frequency spectrum and the second subsystem utilizes the frequency of the first subsystem. Having accurate knowledge from the spectrum of the first subsystem (spectroscopy) is very important in the telecommunication models of cognitive radio. In this study, a number of primary users and secondary users are investigated about the telecommunication model in the cognitive radio. The purpose of this study is to improve the effectiveness of spectral algorithm for detection and to evaluate the distribution of spectrum based on game theory. In this algorithm, a coalition game model has been used to evaluate the spectrum to forma coalition to create a stable group of secondary users. The purpose in the coalition game model is to achieve the stable groups of secondary users which find the best coalitions based on the rules of divisions and integration to measure the spectrum. Then the evaluations of spectrum that areresulted by the members of coalition are combined by representatives of coalition groups to decide about the status of the primary system spectrum. Ultimately, the efficiency of the proposed algorithm is evaluated and verified using the computer simulation.