Research on Spectrum Perception Based on Evolutionary Game Theory

Aiming at the problem that the information of cognitive terminals in mining areas is mixed and occupies the butter, a spectrum sensing evolutionary game scheme based on cognitive nodes and fusion nodes was proposed. The fusion nodes and cognitive nodes are regarded as bounded rational participants. Power is used to normalize the regulatory behavior of the fusion nodes, the improved behavior of the cognitive nodes, and the collaborative benefits of caching information. An evolutionary game model is built to analyze the situation of the balance points under the two sides’ action strategies, and a stable and evolutionary phase map is obtained. The influence of spectral factors on behavioral strategies is also analyzed. When the regulation cost is 0. 05mW, the improvement cost is 0. 02mW, and the proportion distribution is 0.4, the collaboration benefits should be at least greater than 0. 125mW, and the greater the collaboration benefits, the faster the strategy of regulation improvement is realized. The results show that the collaboration benefit as an incentive form will increase the probability of regulation improvement and the perception process will converge rapidly; The adjustment of cost can promote the development of spectrum sensing to the trend of stable and high efficiency.