Energy Efficiency Analysis for Future 3D Ultra Dense Mobile Networks with Sleep Mode

被引:0
|
作者
Zhang, Lei [1 ]
Gu, Xinyu [1 ]
Liu, Zhenyu [1 ]
Zhang, Lin [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China
基金
美国国家科学基金会;
关键词
coverage probability; energy efficiency; SBSs; sleeping strategy; 3D stochastic geometry;
D O I
10.1109/PIMRC.2017.8292598
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To meet the booming demand for higher data rates, Small Base Stations (SBSs) are deployed densely and irregularly, leading to the rapid increases in energy consumption. Meanwhile, the evolution trend of future mobile network is extending to three dimensional (3D) space. Therefore, the energy efficiency for future 3D ultra dense mobile networks is of high significance. In this paper, we focus on analyzing the energy efficiency with sleeping strategy of 3D dense mobile network. Firstly, we derive the expressions of the coverage probability and energy efficiency by using the tool of 3D stochastic geometry, where the locations of SBSs and users are modeled as two independent 3D spatial Poisson Point Processes. In addition, the expression of energy efficiency for BS activation probability is derived to observe explicitly the impact of sleep mode on the energy efficiency. Finally, simulation results confirm the accuracy of our analysis.
引用
收藏
页数:6
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