Stackelberg-game based spectrum access for cognitive radio networks with database-assisted

How to dynamically utilize the spectrum and efficiently enhance spectrum utilization for a variety of clients' demands is still an open issues. This paper studies the dynamic access network with database-assisted, where spectrum brokers (SBs) compete to provide service for secondary users (SUs) with different QoS demands and budget. To this end, we investigate the interactions among BSs and SUs as a two-stage Stackelberg game model. We prove the existence and uniqueness of Nash Equilibrium (NE) and propose a joint budget and power control scheme to study the impact of budget and power on the profit of SUs and SBs, respectively. Furthermore, numerical results verify our proposed approach achieves the optimal profit of BSs and SUs, respectively. And the optimal budget could be obtained via simulation results.