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Joint distributions for total lengths of shortest-path trees in telecommunication networks

机译:电信网络中最短路径树的总长度的联合分布

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Shortest-path trees play an important role in the field of optimising fixed-access telecommunication networks with respect to costs and capacities. Distributional properties of the corresponding two half-trees originating from the root of such a tree are of special interest for engineers. In the present paper, we derive parametric approximation formulas for the marginal density functions of the total lengths of both half-trees. Besides, a parametric copula is used in order to combine the marginal distributions of these functionals to a bivariate joint distribution as, naturally, the total lengths of the half-trees are not independent random variables. Asymptotic results for infinitely sparse and infinitely dense networks are discussed as well.
机译:就成本和容量而言,最短路径树在优化固定接入电信网络领域中起着重要作用。源自这样的树的根的相应的两个半树的分布特性对于工程师来说特别有意义。在本文中,我们推导了两个半树总长度的边际密度函数的参数逼近公式。此外,由于自然地,半树的总长度不是独立的随机变量,因此使用参数系来将这些函数的边际分布组合为双变量联合分布。还讨论了无限稀疏和无限密集网络的渐近结果。

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