A wireless channel resource allocation strategy based on grasping money game with learning mechanism

With the rapid development of communication technology, channel resource becomes more scarcer than before. Grasping money game attracts more attention in the field of wireless communication as an effective tool to allocate channel resource. In this paper, we use grasping money game based on learning mechanism to allocate channel resource. Users determine next step based on their previous gain by using this mechanism. We also append some constraints to this mechanism to achieve fairness of users. We use MATLAB as simulation tool, study two users using the proposed mechanism. The simulation results show that with this mechanism the channel utilization efficiency can be greatly improved, as well as fairness of channel access can be guaranteed.