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Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials

机译:带有客户重试的蜂窝移动电话网络中呼叫阻塞概率的有效估计

摘要

A novel approximate technique is proposed for the estimation of call blocking probabilities in cellular mobile telephony networks where call blocking triggers customer retrials. The approximate analysis technique is based on Markovian models with state spaces whose cardinalities are proportional to the maximum number of calls that can be simultaneously in progress within cells. The accuracy of the approximate technique is assessed by comparison against results of detailed simulation experiments, results of a previously proposed Markovian analysis approach, and upper and lower bounds to the call blocking probability. Numerical results show that the proposed approximate technique is very accurate, in spite of the remarkably small state spaces of the Markovian models.
机译:提出了一种新颖的近似技术,用于估计蜂窝移动电话网络中的呼叫阻塞概率,其中呼叫阻塞触发了客户重试。近似分析技术基于具有状态空间的马尔可夫模型,该状态空间的基数与单元内可以同时进行的最大呼叫数成比例。通过与详细模拟实验的结果,先前提出的马尔可夫分析方法的结果以及呼叫阻塞概率的上限和下限进行比较,来评估近似技术的准确性。数值结果表明,尽管马尔可夫模型的状态空间非常小,但所提出的近似技术还是非常准确的。

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