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A Parametric Copula Approach for Modelling Shortest-Path Trees in Telecommunication Networks

机译:电信网络中最短路径树建模的参数Copula方法

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We extend the Stochastic Subscriber Line Model by the introduction of shortest-path trees which are obtained by splitting up the segment system of the typical serving zone at its crossings and endings. Due to reasons in the complex field of cost and capacity estimation in telecommunication networks, it is desirable to gain knowledge about distributional properties of the branches of these trees. The present paper shows how to obtain parametric approximation formulas for the univariate density functions of the lengths of the two main branches in shortest-path trees. Besides, we derive a joint bivariate distribution for the lengths of these branches by means of copula functions, i.e., we give a parametric composition formula of the marginals. These approximative parametric representation formulas can be used in order to prevent time consuming computer experiments.
机译:我们通过引入最短路径树来扩展随机订户线模型,该树是通过在典型服务区的交叉点和末尾分割分段系统而获得的。由于电信网络中成本和容量估计的复杂领域中的原因,期望获得有关这些树的分支的分布特性的知识。本文展示了如何获得最短路径树中两个主要分支的长度的单变量密度函数的参数逼近公式。此外,我们通过copula函数得出这些分支的长度的联合双变量分布,即给出边际参数组合公式。可以使用这些近似参数表示公式,以避免耗时的计算机实验。

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