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Calculating the outage probability in a CDMA network with spatialPoisson traffic

机译:在具有空间泊松流量的CDMA网络中计算中断概率

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摘要

In this paper, we provide a spatial Poisson point pattern model ofntraffic in a code division multiple access (CDMA) wireless network. Wenshow how the theory of Poisson processes can be applied to providenstatistical information about interference levels in the network. Innparticular, we calculate approximations and a bound on the outagenprobability at a designated cell site in the network, utilizingnhigh-order cumulants, which have very simple analytical forms and canneasily be computed once the mean measure of the spatial Poisson pointnpattern is known. We consider a Poisson-Gaussian approximation and annEdgeworth approximation in which the Gaussian distribution is twisted tonsatisfy the required cumulants, and we provide a Chernoff bound onnperformance that also utilizes the cumulant information. We show thatnthe theory can be applied to nonstationary, time nonhomogeneous systems.nWe provide a particular example of a M/M/∞, spatial queueing modelnof a CDMA wireless network
机译:在本文中,我们提供了码分多址(CDMA)无线网络中流量的空间Poisson点模式模型。 Wenshow如何将泊松过程的理论应用于网络中有关干扰水平的统计信息。特别是,我们利用高阶累积量来计算网络中指定单元站点上的近似概率,并确定其发生概率的界限,该累积量具有非常简单的分析形式,一旦知道了空间Poisson点模式的均值就可以轻松计算出。我们考虑了Poisson-Gaussian逼近和anEdgeEdgeworth逼近,其中Gaussian分布扭曲了所需的累积量,并且我们还提供了Chernoff界性能,它也利用了累积量信息。我们证明了该理论可以应用于非平稳时间非均匀系统。我们提供了CDMA无线网络的M / M /∞空间排队模型的特定示例

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