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Modeling and performance analysis for wireless mobile networks: a new analytical approach

机译:无线移动网络的建模和性能分析:一种新的分析方法

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In wireless mobile networks, quantities such as call blocking probability, call dropping probability, handoff probability, handoff rate, and the actual call holding times for both complete and incomplete calls are very important performance parameters in the network performance evaluation and design. In the past, their analytical computations are given only when the classical exponential assumptions for all involved time variables are imposed. In this paper, we relax the exponential assumptions for the involved time variables and, under independence assumption on the cell residence times, derive analytical formulae for these parameters using a novel unifying analytical approach. It turns out that the computation of many performance parameters is boiled down to computing a certain type of probability, and the obtained analytical results can be easily applied when the Laplace transform of probability density function of call holding time is a rational function. Thus, easily computable results can be obtained when the call holding time is distributed with the mixed-Erlang distribution, a distribution model having universal approximation capability. More importantly, this paper develops a new analytical approach to performance evaluation for wireless networks and mobile computing systems.
机译:在无线移动网络中,诸如呼叫阻塞概率,呼叫掉落概率,越区切换概率,越区切换速率以及完整和不完整呼叫的实际呼叫保持时间之类的数量是网络性能评估和设计中非常重要的性能参数。过去,仅当对所有涉及的时间变量施加经典的指数假设时,才给出其分析计算。在本文中,我们放宽了所涉及时间变量的指数假设,并在细胞停留时间的独立性假设下,使用一种新颖的统一分析方法得出了这些参数的分析公式。事实证明,将许多性能参数的计算归结为某种概率类型的计算,并且当呼叫保持时间的概率密度函数的拉普拉斯变换是有理函数时,可以轻松地应用所获得的分析结果。因此,当呼叫保持时间通过具有通用逼近能力的混合Erlang分布进行分配时,可以轻松获得可计算的结果。更重要的是,本文开发了一种新的分析方法来评估无线网络和移动计算系统的性能。

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