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Importance of Accurate Mobility Modeling in Teletraffic Analysis of the Mobile Environment

机译:准确迁移型建模在移动环境遥控分析中的重要性

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This paper shows the importance of taking into account accurate mobility effects in performance evaluation of key teletraffic metrics of mobile communication networks. To accomplish this task, we introduce a new discrete stochastic node, the Pole of Gravity characterizing the temporal and spatial behavior of mobile users. This novel concept forms the realm of our mobility model termed as Scalable Mobility Model (SMM) and provides a realistic set of paths traversed by subscribers on a daily basis by taking into account attraction points, geographical environments, time factor and grouping individual subscribers into specific classes of mobility. Using this approach, we demonstrate the need and importance of taking mobility-related factors in the analysis of teletraffic issues by investigating the signaling and traffic related parameters such cell residence time and traffic load. Our simulation results include a comparative performance of SMM against the well known random way point model for same performance issues for the City Area of Bristol, UK during the rush and busy hour.
机译:本文展示了考虑到移动通信网络关键遥控度量绩效评估中的准确移动效果的重要性。为了完成这项任务,我们介绍了一个新的离散随机节点,重力的杆表征了移动用户的时间和空间行为。这种新颖的概念形成了我们的移动模型的领域被称为可扩展的移动模型(SMM),并通过考虑到吸引点,地理环境,时间因素并将个别用户分组到特定的特定于特定的人数,提供了一系列现实的路径集。移动课程。使用这种方法,我们通过研究这种细胞停留时间和交通负荷来展示通过研究信令和交通相关参数来分析电视问题在临觉问题中的需要和重要性。我们的模拟结果包括SMM对众所周知的随机方式模型的比较表现,以便在匆忙和繁忙的时刻在英国布里斯托尔城区的相同性能问题。

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