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Modeling and Analysis of Small Cells Based on Clustered Stochastic Geometry

机译:基于聚类随机几何的小细胞建模与分析

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摘要

A cellular network is usually modeled and analyzed as a Poisson point process (PPP). However, small cells are ordinarily clustered around hotspots in urban areas, which cannot be accurately modeled with a PPP. This letter presents an analysis of the downlink coverage of small cells that are modeled with a Matern cluster process (MCP). A new accurate formula for the probability generating function of an MCP is derived. We also propose a new distribution function for the desired distance (i.e., between the user and serving small cell) based on the spherical contact distribution function of the Boolean model. The above two formulas can be used to obtain a closed-form expression for the downlink average coverage probability of small cells. Simulation results confirm the accuracy of our derived formulas. Our derived MCP-based coverage is accurate and can be used to guide the small cell configuration of a cellular network.
机译:通常将蜂窝网络建模和分析为泊松点过程(PPP)。但是,小型小区通常聚集在城市热点附近,无法使用PPP精确建模。这封信介绍了对使用Matern集群过程(MCP)建模的小型小区的下行链路覆盖范围的分析。推导了MCP概率生成函数的新精确公式。我们还根据布尔模型的球形接触分布函数,针对所需距离(即,用户与服务小小区之间的距离)提出了新的分布函数。上述两个公式可用于获得小小区的下行平均覆盖概率的封闭式。仿真结果证实了我们导出公式的准确性。我们派生的基于MCP的覆盖范围是准确的,可用于指导蜂窝网络的小型小区配置。

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