A algorithm of resource allocation based on stacklberg game in heterogeneous hierarchical wireless networks

Macro station and femtocells usually interfere with each other in heterogeneous hierarchical wireless networks. How to achieve high spectrum utility and high capcity, ensure user performance is the important point of research. To solve this problem, a joint macrocell and femtocell resource allocation algorithm based on stackelberg game in heterogeneous hierarchical wireless networks was proposed in this paper. At first, a clustering algorithm based on graph coloring was used to divide femtocells into several clusters and allocate channels for decreasing the co-tier interference among femtocells and the cross-tier interference between macrocell and femtocells. Then this paper put forward a scheme based on stackelberg game which combined femtocell transmitting power control with macro user access selection, and also derived the of FAPs’(femtocell access point) transmitting power when the game achieved a Nash Equilibrium(NE). According to the NE of FAPs, macro users chose the suitable base station to access. The simulation results show that the algorithm can effctively increase the SINR of macro users. The performance of femto users is improved as well.