Dynamic spectrum management with interference constraint and proportional fairness

In this paper, we consider a centralized dynamic spectrum management (DSM) model that a spectrum broker (SB) is responsible for periodically allocating available spectrum resources to all base stations (BSs) in the given region. In this model, different cellular services share the same portion of spectrum resources and BSs bid for heterogeneous channels depending on their demands. We address this DSM problem by proposing a revenue-maximizing algorithm with fairness and interference constraint (RFIC). This algorithm achieves the tradeoff between allocation fairness and system revenue by tuning three adjustable parameters. It takes allocation fairness into account, guarantees the QoS requirements of all BSs and leads to flexible solutions. Simulation results demonstrate that the proposed scheme maintains a balance between two competing interests: trying to maximize the system revenue while at the same time allowing all BSs a decent service.