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Research on Area Spectrum Efficiency and Energy Efficiency in 3-tier Ultra-Dense Heterogeneous Cellular Networks

机译:三层超密集异质蜂窝网络面积谱效率和能效研究

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Cellular network is usually modeled and analyzed based on two-dimensional space. However, the two-dimensional space model is only appropriate for the scene where base stations are distributed sparsely and has single access node. We aim at dense district with a great of low-power base stations, basing on the theory of stochastic geometry, propose a downlink 3-tier ultra-dense heterogeneous network model in three-dimensional (3D) space. The influence of density of base station on network performance is emphatically analyzed. Firstly, on the basis of this model, the probability density function of the distance between the target user and the base station in 3D space is given. Afterwards, the coverage probability of each layer and the average accessible rate of user in different layers are derived, area spectrum efficiency (ASE) and energy efficiency (EE) are derived at the same time, and the impact of each tier base station density on ASE and EE is analysed. Subsequently, we propose a simple optimization problem. That is when the ASE meets certain constraints, the EE can be maximized by optimizing the density of base station, then they are balanced. It is shown that the density of each tier base station and the density ratio between tiers have huge impact on system performance, and there are thresholds to make the deployment optimal. On the condition of dense environment, the analysis of 3D space heterogeneous network is more precise and practical. We provide more perfect theoretical support for base station deployment and green communication in the next generation mobile communication network.
机译:蜂窝网络通常是模拟和分析基于二维空间。然而,该二维空间模型是仅适用于其中基站被稀疏地分布,并且具有单一的接入节点的情景。我们的目标是低功率基站的伟大密集区,立足于随机几何理论,提出了一个下行3层超密集异构网络中的三维(3D)空间模型。对网络性能的基站的密度的影响被着重分析。首先,该模型的基础上,所述目标用户和在三维空间中的基站之间的距离的概率密度函数给出。之后,每一层和的用户在不同的层的平均访问速率的覆盖概率导出,面积频谱效率(ASE)和能量效率(EE)是在同一时间导出的,并且每一层的基站密度的影响ASE和EE进行了分析。随后,我们提出了一个简单的优化问题。即当ASE满足某些限制,EE可以通过优化基站的密度最大化,然后将它们平衡。结果表明,每一层的基站的密度和层之间的密度比对系统性能带来巨大的影响,并且有阈值,以使所述部署最佳的。上密集环境的情况下,3D空间异构网络的分析更精确和实用。我们为下一代移动通信网络中的基站部署和绿色通信更完美的理论支持。

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