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.
翻译:在此信里,我们模仿道路系统流动模式真实世界统计,然后提议修改随机路点模型的假设,以更好地反映高流动性特征。我们称新框架下的模型为RWP+。具体地说,我们表明构成旅行的过渡长度最好以逻辑正常分布为代表,速度最好以正常分布和不同平均值的线性组合来描述。与移动蜂窝网络文献中使用的假设相比,我们的模型提供流动性指标,例如手动率,更好地描述从收集的统计数据中实际模仿的旅行。