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Mobility patterns in microcellular wireless networks

机译:微蜂窝无线网络中的移动性模式

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This study investigates mobility patterns in microcellular wireless networks, based on measurements from the 802.11 based system that blankets the Carnegie Mellon University campus. We characterize the distribution of dwell time, which is the length of time that a mobile device remains in a cell until the next handoff, and sign-on interarrival time, which is the length of time between successive sign-ons from the same mobile device. Many researchers have assumed that these distributions are exponential, but our results based on empirical analysis show that dwell time and sign-on interarrival time can be accurately described using heavy-tailed arithmetic distributions that have infinite mean and variance. We also show that the number of handoffs per sign-on can be modeled accurately with a heavy-tailed distribution.
机译:这项研究基于覆盖卡内基梅隆大学校园的基于802.11的系统的测量结果,研究了微蜂窝无线网络中的移动性模式。我们描述了驻留时间(这是移动设备在下一次越区切换之前保留在小区中的时间)和登录间隔时间(这是从同一移动设备连续登录之间的时间长度)的分布特征。 。许多研究人员已经假定这些分布是指数分布,但是基于经验分析的结果表明,使用具有无限均值和方差的重尾算术分布可以准确地描述停留时间和登录到达间隔时间。我们还显示,每次登录的切换次数都可以通过大量的尾巴分布来精确建模。

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