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引用次数: 2
摘要
无线网络中的位置跟踪是实现无处不在通信服务的必要条件。由于用户可以自由移动,因此网络必须跟踪移动终端的位置以发送消息或呼叫。在解决用户移动性问题方面已经做出了重大努力;然而,在之前的工作中引入的大多数迁移模型都没有考虑到移动方向——文献中常用的CMR (call to mobility ratio)参数是呼叫到达率与移动设备的小区边界穿越率之间的比率。本文引入带漂移的布朗运动作为移动模型,讨论了移动方向和呼叫到达对基于距离的位置更新方案在预测和非预测模式下性能的影响。
Distance-based location update scheme with isotropic random user motion with drift
Location tracking in wireless networks is essential for ubiquitous communication service. Since a user may move freely, the network has to keep track of the location of the mobile terminal to deliver messages or calls. There has been significant effort to address the problem of user mobility; however, most of the mobility models introduced in the previous work do not take the movement direction into account - the parameter called CMR (call to mobility ratio) which is commonly used in the literature is the ratio between the call arrival rate and the cell boundary crossing rate of the mobile. In this paper, we introduce Brownian motion with drift as our mobility model and discuss the effect of movement direction and call arrivals on the performance of the distance-based location update scheme in the predictive and the non predictive mode.