Price-based stackelberg game for power allocation in heterogeneous dense network

摘要

A system model consisting of macro and micro base stations( BS) is introduced to solve the problem of power allocation in heterogeneous dense network. In this hierarchical framework,the problem of power allocation is modeled as a stackelberg game. Based on this model,a two-stage pricing algorithm is proposed to allocate power resource to each BS. In this algorithm,a power price is allocated to each micro-BS by macro-BS,and all microBSs are calculating respective optimal transmit power based on this price to maximize individual utility. Then a grid-based scenario is introduced to verify the proposed theory. Theoretical analysis and simulation results validate that the proposed scheme makes performance improve on spectral and power efficiency. Most importantly,the computational complexity of the proposed scheme is greatly improved,especially in dense deployment.