Stackelberg Game for Resource Allocation with QoS and Fairness Assurance in Cognitive Radio Networks

This paper proposed a new Stackelberg game theoretic solution for joint power control and channel allocation in Cognitive Radio Networks (CRNs). The Primary Users (PUs) can admit Second Users (SUs) to access by pricing their interference power under the Interference Power Constraint (IPC). So, we formulate suitable revenue functions for SUs and PUs to manage the radio resource among users efficiently and fairly. Then, a novel algorithm is proposed to search the optimal price for PUs to maximize their revenues and prove the existence and uniqueness of Nash Equilibrium (NE). Moreover, a novel channel allocation algorithm is given to guarantee SUs' different QoS requirements and ensure fairness. Simulation results show that the proposed algorithm improves the performance compared with those proportionate game schemes.