Price Based Spectrum Sharing and Power Allocation in Cognitive Femtocell Network

Abstract

In this paper we study the joint price and power allocation for interference management in macro- femto spectrum sharing network based on the Stackelberg game. In our model, the macro base station (MBS) works as leader and overlaid femto base stations (FBSs) as followers. The MBS allocates its power and interference price to the FBSs to guarantee its user's minimum rate requirement and reap the revenue from the femto network. Based on this price, FBSs calculates their power in distributed way. The game is formulated for joint utility maximization of both types of players. We consider the two cases of fixed and dynamic MBS power and propose uniform price for all FBSs. In this game model, first of all the number of players (FBSs) is calculated that can participate in the game against different macro user rate requirement and then price and power are determined. We propose unique closed form solution to the both cases based on convex optimization which always guarantee the convergence. The numerical results validate the effectiveness of our proposed solutions.