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

Jiacui Miao, Xinyu Gu, Lei Zhang, Bingxue Leng
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Abstract

In 5G system, network densification is considered as a prospective technology to provide the required capacity and performances. However, the large-scale deployment of Small Base Stations (SBSs) leads to the rapid increases in energy consumption. Thus in this paper, a strategic sleep mode is put forward to improve the network energy efficiency in 3D dense mobile networks, where the SBSs active probability is associated with user active probability and network load. Then, the coverage probability and energy efficiency expressions are derived based on the proposed strategic sleep mode by using the tool of 3D stochastic geometry, where the locations of SBSs is modeled as 3D spatial Poisson Point Process. In addition, numerical results are further conducted to evaluate the advantage of the proposed sleep mode and verify the accuracy of the theoretical analysis.
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基于战略睡眠模式的未来3D移动网络能源效率分析
在5G系统中,网络致密化被认为是一种有前景的技术,可以提供所需的容量和性能。然而,小型基站的大规模部署导致能源消耗迅速增加。为此,本文提出了一种策略睡眠模式,在三维密集移动网络中提高网络能量效率,其中SBSs的活跃概率与用户活跃概率和网络负载相关联。然后,利用三维随机几何工具,推导了基于所提出的策略睡眠模式的覆盖概率和能量效率表达式,其中sbs的位置建模为三维空间泊松点过程。此外,通过数值结果进一步评价了所提出的睡眠模式的优势,验证了理论分析的准确性。
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