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An improved mobility model for 2G and 3G cellular systems

机译:用于2G和3G蜂窝系统的改进的移动性模型

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This paper presents an improved mobility model for vehicle-borne terminals that offers a tool to compare simulations with realistic urban/suburban traffic conditions. The original mobility model considers arbitrary street patterns and realistic terminal movements in urban and suburban environments. It models the behaviour of the mobile users by a limited number of statistical parameters that can be easily derived from a city map and observation of traffic. The novel extension covers the important case that a car stops at crossroads. The probability for such event is an input parameter. The model describes the stop-and-go behaviour of vehicle-borne terminals, which is crucial for the evaluation of statistics of soft and softer handover in third-generation wireless networks. Since the street-canyon propagation has been identified as the dominant propagation mechanism in urban areas, the soft or softer handover probability is very high at crossroads. Thus, it does make a difference if the mobile users are stopping at crossroads for several tens of seconds while having soft handover connection, or if they just drive through these areas. Specifically, we apply the mobility model to a scenario in Vienna, Austria, and simulate the dwell time and the handover rate of a typical cellular system.
机译:本文提出了一种改进的车载终端移动性模型,该模型提供了将模拟与现实的城市/郊区交通状况进行比较的工具。原始的移动性模型考虑了城市和郊区环境中的任意街道模式和现实的终端移动。它通过有限数量的统计参数对移动用户的行为进行建模,这些统计参数可以很容易地从城市地图和交通观察中得出。新颖的扩展涵盖了汽车在十字路口停下来的重要情况。此类事件的概率是输入参数。该模型描述了车载终端的走走停停行为,这对于评估第三代无线网络中的软切换和软切换统计至关重要。由于街道峡谷的传播已被确定为城市地区的主要传播机制,因此在十字路口,越软或越弱的越区切换概率就很高。因此,如果移动用户在具有软切换连接的同时在十字路口停下来数十秒,或者他们只是开车经过这些区域,那的确会有所不同。具体来说,我们将移动性模型应用于奥地利维也纳的场景,并模拟了典型蜂窝系统的停留时间和切换率。

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