Spectrum Allocation of Multi-Priority Operators Based on Repeated Game for Future Mobile Communication

In the new generation of mobile communication systems, the rapidly growing wireless data services require more open spectrum resources and smarter spectrum allocation schemes. At the same time, different kinds of services may require different levels of spectrum resources. In order to solve the above problems, a multi-priority operators' model is proposed to solve the more complex spectrum allocation problem. By dividing the operators into multiple priority levels and price the spectrum, an infinitely repeated game model is built. Through simulation, the changes of press value over time when using different strategies for multiple operators are compared. The results show that the channel allocation strategy based on the multi-priority repeated game model performs better on system revenue than the noncooperative full-spectrum sharing strategy after stabilization.