Stackelberg Game-Based Optimal Power Allocation in Heterogeneous Network

In this paper, a power allocation scheme based on a stackelberg game model is proposed to coordinate complicated interference in heterogeneous network. Firstly, the power allocation problem is modeled as a stackelberg game where base stations (BS) are treated as competitive players. Then a two-stage pricing-based power allocation scheme is proposed, where macro-BS and micro-BS cooperate with each other in order to provide optimal power allocation strategy. Theoretical analysis and simulation results both validate that the proposed scheme not only makes improvement in spectral and energy efficiency, but also reduces computational complexity, especially in dense deployment scenario.