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RWP+: A New Random Waypoint Model for High-Speed Mobility
arXiv - CS - Information Theory Pub Date : 2021-09-13 , DOI: arxiv-2109.05978
Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas

In this letter, we emulate real-world statistics for mobility patterns on road systems. We then propose modifications to the assumptions of the random waypoint (RWP) model to better represent high-mobility profiles. We call the model under our new framework as RWP+. Specifically, we show that the lengths of the transitions which constitute a trip, are best represented by a lognormal distribution, and that the velocities are best described by a linear combination of normal distributions with different mean values. Compared to the assumptions used in the literature for mobile cellular networks, our modeling provides mobility metrics, such as handoff rates, that better characterize actual emulated trips from the collected statistics.

中文翻译:

RWP+:一种用于高速移动的新随机航路点模型

在这封信中,我们模拟了道路系统移动模式的真实世界统计数据。然后,我们建议对随机航路点 (RWP) 模型的假设进行修改,以更好地表示高机动性配置文件。我们将新框架下的模型称为 RWP+。具体来说,我们表明构成行程的转换长度最好用对数正态分布表示,而速度最好用具有不同平均值的正态分布的线性组合来描述。与移动蜂窝网络文献中使用的假设相比,我们的建模提供了移动性指标,例如切换率,可以更好地从收集的统计数据中表征实际模拟行程。
更新日期:2021-09-14
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