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Approximate Coverage Analysis of Heterogeneous Cellular Networks Modeled by Poisson Hole Process

机译:用泊松孔过程建模的异构细胞网络的近似覆盖率分析

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Signal-to-interference ratio (SIR) is very important for performance analysis of cellular networks. To maintain tractability, interference field is often modeled as a homogeneous Poisson Point Process (PPP). PPP falls short in modeling the effect of interference management techniques, which typically introduces some form of spatial interaction among base stations. In this paper, we studies the coverage performance of heterogeneous cellular network modeled by Poisson Hole Process with the use of ASAPPP method, which stands for “approximate SIR analysis based on the Poisson point process. The concrete expression of the SIR gain GPHP of PHP model is derived through simulation and data fitting. The approximate coverage probability of PHP model is obtained by scaling the SIR threshold θ of PPP model to θ/GPHP. Simulation results verify the correctness of theoretical analysis and the effectiveness of approximated gain.
机译:信干比(SIR)对于蜂窝网络的性能分析非常重要。为了保持易处理性,通常将干扰场建模为均质泊松点过程(PPP)。 PPP在建模干扰管理技术效果方面是不足的,后者通常会在基站之间引入某种形式的空间交互作用。在本文中,我们使用ASAPPP方法研究了用Poisson Hole过程建模的异构蜂窝网络的覆盖性能,ASAPPP方法代表“基于Poisson点过程的近似SIR分析”。通过仿真和数据拟合得出PHP模型的SIR增益GPHP的具体表达式。通过将PPP模型的SIR阈值θ缩放为θ/ GPHP,可以得出PHP模型的近似覆盖概率。仿真结果验证了理论分析的正确性和近似增益的有效性。

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