Movement-Based Mobility Management and Trade Off Analysis for Wireless Mobile Networks
Movement-Based Mobility Management and Trade Off Analysis for Wireless Mobile Networks
复制标题
DOI：
10.1109/tc.2003.1204834
复制
发表时间：
2003-06
期刊：
影响因子：
--
通讯作者：
Yuguang Fang
中科院分区：
文献类型：
--
作者：
Yuguang Fang
在未来的无线移动的网络中，移动性管理在提供无处不在的通信服务中起着核心作用。在移动性管理中，有两个关键操作，位置更新和寻呼，通常用于跟踪移动中的移动的用户。位置更新用于通知网络移动的用户的当前位置，而寻呼用于网络定位移动的用户。这两种操作都将在资源有限的无线网络中引起信令业务。位置更新越频繁，定位移动的用户时的寻呼就越少;因此，在信令成本方面存在折衷。大多数文献中的权衡分析是在假设一些时间变量是指数分布的情况下进行的。然而，这样的假设将是无效的，特别是对于无线互联网。在本文中，我们提出了一些一般的分析结果没有这些假设，这是必不可少的一般权衡分析。具体而言，我们分析得出的平均数量的位置更新在服务间的时间为一个基于运动的位置更新计划在相当现实的假设下，这是至关重要的所有权衡分析。我们的一般分析结果进行彻底的数值分析，找到最佳的移动性管理在各种网络操作的情况下可能的。
Mobility management plays a central role in providing ubiquitous communications services in future wireless mobile networks. In mobility management, there are two key operations, location update and paging, commonly used in tracking mobile users on the move. Location update is to inform the network about a mobile user's current location, while paging is used for the network to locate a mobile user. Both operations will incur signaling traffic in the resource limited wireless networks. The more frequent the location updates, the less paging in locating a mobile user; thus, there is a trade off in terms of signaling cost. Most trade off analysis in the literature is carried out under the assumption that some time variables are exponentially distributed. However, such assumptions will not be valid, particularly for the wireless Internet. In this paper, we present some general analytical results without these assumptions, which are essential for the general trade off analysis. Specifically, we analytically derive the average number of location updates during the interservice time for a movement-based location update scheme under fairly realistic assumptions, which are crucial for all trade off analysis. Our general analytical results make thorough numerical analysis for finding the optimal mobility management under various network operation scenarios possible.