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Energy efficiency analysis for future 3D ultra dense mobile networks with sleep mode

机译:具有睡眠模式的未来3D超密集移动网络的能效分析

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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.
机译:为了满足对更高数据速率的蓬勃发展的需求,小型基站(SBS)密集且不规则地部署,导致能耗快速增加。同时,未来移动网络的演进趋势正在扩展到三维(3D)空间。因此,未来3D超密集移动网络的能源效率具有重要意义。在本文中,我们专注于通过3D密集移动网络的睡眠策略来分析能效。首先,我们使用3D随机几何工具导出覆盖概率和能效的表达式,其中SBS和用户的位置被建模为两个独立的3D空间泊松点过程。另外,导出了针对BS激活概率的能量效率的表达式,以明确地观察睡眠模式对能量效率的影响。最后,仿真结果证实了我们分析的准确性。

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