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Analysis methodology of adaptive resource allocation schemes for handoff calls: combining equilibrium and transient analysis

机译:用于切换呼叫的自适应资源分配方案的分析方法:结合平衡和瞬态分析

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An important QoS issue in wireless networks is how to control handoff drops. There have been several adaptive admission control schemes that dynamically adjust the admission threshold based on handoff occurrences, but little effort for analysis has been made for it because of its mathematical modelling difficulties - it can be modelled as a Markov chain, but its huge state size makes the analysis intractable. We assume a basic adaptive admission control model and propose a novel analysis method adopting equilibrium and transient analysis together. This analysis methodology decomposes a Markov chain into the two levels, called intra-domain and inter-domain, to reduce the state size dramatically. Inter-domain is used for the equilibrium state analysis and intra-domain for the transient state one. They are used for finding handoff call dropping probabilities. By such decomposition, we can obtain the exact analysis of the system with much less matrix size.
机译:无线网络中的一个重要QoS问题是如何控制切换丢弃。有几种自适应准入控制方案,基于切换出现动态调整入场阈值,但由于其数学建模困难,因此对分析的努力很少 - 它可以被建模为马尔可夫链,但其巨大的状态大小使分析棘手。我们假设一个基本的自适应准入控制模型,并提出了一种采用平衡和瞬态分析的新型分析方法。该分析方法将马尔可夫链分解为两个级别,称为域内和域间,以显着降低状态大小。域间用于瞬态状态分析和域内域的互联网域。它们用于查找切换呼叫丢弃概率。通过这种分解,我们可以获得具有更少矩阵大小的系统的精确分析。

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