Joint Dynamics of Spectrum Allocation and User Behavior in Spectrum Markets

Adaptive radio resource management policy aware of the demand for wireless services is termed dynamic spectrum access (DSA). In order to evaluate the effectiveness of DSA, dynamics of the demand should be considered. In the present paper, dynamics of the spectrum market, which is a way to realize DSA, are evaluated from the economic perspective. Modeling the spectrum market system by using game theory, the convergence characteristics of the system are analyzed from two points of view: allocation interval and prediction period. The available spectrum is allocated at regular time intervals and the length of this allocation interval naturally has a significant impact on the dynamics of the system. Also, available spectrum is allocated based on the prediction of the time variation of the demand for wireless services. This prediction thus influences the dynamics of the system. Simulation results reveal that short allocation interval and long prediction period are required to improve the convergence property of the system. Simulation results also reveal that long prediction period leads to the increase in the revenue of spectrum holder.