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A decomposable random walk model for mobility in wireless communications

机译:无线通信中可移动性的可分解随机游动模型

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In this paper we develop models to represent the time until boundary crossing and associated statistics in cellular wireless networks. We propose modeling the terminal movements within a cell by a discrete two-dimensional random walk process. We note that in such an environment mobile units tend to move in roughly a straight line, with occasional backtracking, for a significant period of time before changing direction. We determine the time until crossing an exit point from a circular cell by choosing a random direction from the starting point to an exit point. The user would actually be moving in fluctuating directions until reaching this exit point. Subsequently, we calculate the expected time to reach the exit point as a function of the constant speed of travel and the propensity to change direction en route. The model is rather general and has the potential to be used for highly irregular cell shapes when boundary crossing is not distance-based but determined by propagation attenuation-based criterion.
机译:在本文中,我们开发了一些模型来表示直到蜂窝无线网络中的边界穿越和相关统计数据为止的时间。我们建议通过离散的二维随机游走过程对单元格内的终端运动建模。我们注意到,在这种环境下,移动单位往往会在不改变方向的情况下在相当长的一段时间内大致直线移动,偶尔会发生回溯。我们通过选择从起点到出口点的随机方向来确定从圆形像元越过出口点的时间。用户实际上将一直沿波动的方向移动,直到到达该出口点。随后,我们将计算出到达出口点的预期时间,该时间是恒定行驶速度和在途中改变方向的倾向的函数。该模型相当笼统,并且当边界交叉不是基于距离而是由基于传播衰减的标准确定时,就有可能用于高度不规则的小区形状。

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