Energy Efficiency Optimization in 3D Dense Urban Scenarios with Coordinate Multi-point Transmission and Sleep Strategy

Abstract

With the rapid development of mobile communication, data traffic is exploding, which leads to a more dense and irregular deployment of the small cells. Large-scale and dense deployment of small cells will bring about huge energy consumption and strong interference. Meanwhile the evolution trend of future mobile network is extending to three dimensional (3D) space. So the analysis of Energy Efficiency (EE) for future 3D ultra dense mobile network is of great concern. In this paper, we optimize the Base Station (BS) density for enhancing EE by the combine of sleeping strategy and coordinate multi-point transmission under 3D dense urban scenarios using the tool of 3D stochastic geometry. Firstly, we derive the coverage probability and energy efficiency expressions. Then based on monotonicity analysis, the optimal BS density that satisfies coverage probability constraint is calculated. And the numerical results show both the coverage probability and energy efficiency have a significant improvement compared with deploying BS sleeping strategy only.