Distributed energy-efficient inter-cell interference control with BS sleep mode and user fairness in cellular networks

Abstract

Inter-cell interference (ICI) and energy efficiency are two important issues in future generation cellular networks. These two issues are studied separately in most of previous works. Since both ICI and energy efficiency have great impacts on user quality of service (QoS) and energy consumption, they should be jointly studied and optimized in a common framework. In addition, most existing centralized schemes solving the ICI and energy efficiency problems may suffer from signaling overhead, outdated dynamics information, and scalability issues. In this paper, we proposed a common framework to dynamically allocate spectral resource to mitigate ICI and to save energy consumption at the same time. Base station (BS) sleep mode and fairness among users are considered in this paper. We first formulate the ICI and energy efficiency issues as a centralized optimization problem, and then we derive a distributed algorithm. Simulation results are presented to show the effectiveness of the proposed scheme.