Mixed mean‐field power control solution for layered networks

Abstract

AbstractHigh‐density heterogeneous micro‐base stations are expected to be deployed in the next generation networks and they shall coexist with the existing macro‐base stations. In this article, we proposed a novel energy‐efficient power control algorithm by considering the energy consumption, interference coupling, and spatial‐temporal dynamic changes in the layered networks to support the future telecommunication users. First, the problem of power control is described as an original optimization problem and its related states and actions are defined. Then, a mixed mean‐field game (Mixed‐MFG) algorithm that combines the stochastic geometry theory and mean‐field theory is proposed to overcome the difficulties of the original problem and to optimize the power control policy. By considering the spatial‐temporal dynamics feature of the networks, we optimize the energy efficiency and reduce the coupling interference of the layered networks. The simulation results showed that the proposed Mixed‐MFG method outperforms the related methods in terms of energy efficiency utility while ensuring the quality of service.