A wireless channel resource allocation strategy based on the hawk-pigeon game with learning mechanism
He-wei Zhao, Yanbo Zhang, Jinlong Zhang, Wufeng Xiang · 2013
In this paper, we firstly introduce the hawk-pigeon game model. We simulate the model 1000 times using MATLAB. After carefully analyses the relationship between two users' gains and the probability of hawk strategy. The simulation results show that with fewer numerical hawk strategies are selected, the times of hawk-hawk are greatly reduced. Then we simulate and analyze the wireless channel resource, which introduces the hawk-pigeon game of learning mechanism. Learning mechanism is that next strategy based on several previous gains. We also add some constraints to achieve fairness of users of the learning mechanism. The simulation results demonstrate that by learning mechanism we achieve users' fair and high utilization rate of the channel.