Design and analysis of location management for 3G cellular networks

Design and analysis of location management for 3G cellular networks
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DOI:
10.1109/tpds.2004.1271183
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发表时间:
2004-04-01
影响因子:
5.3
通讯作者:
Li, J
Li, J
中科院分区:
计算机科学2区
文献类型:
--
作者:
Xiao, Y;Pan, Y;Li, J

文献摘要

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位置管理是个人通信服务网络中的一个关键问题,它保证了移动的终端在移动过程中能够连续地接收到服务。在本文中,我们研究了两个位置管理方案,动态移动为基础的计划(DYNAMIC-3G)和静态计划(STATIC-3G),为3G蜂窝网络的归属位置寄存器,网关位置寄存器(GLR),和访问者位置寄存器形成一个三级层次的移动性数据库结构。对于这两种方案,成本函数制定解析。我们证明了有一个最佳的运动阈值,使DYNAMIC-3G的总成本函数最小化,并提出了一个二分搜索算法来找到最佳阈值。此外,我们提出的性能评估和比较所提出的方案与以前的计划在2G蜂窝网络中的GLR不存在。我们的研究验证了DYNAMIC-3G方案的最优性,并表明所提出的方案优于以前的计划,特别是当远程本地成本比高。动态3G和静态3G的比较结果表明,当移动速率较低时应采用动态3G,否则应采用静态3G。此外,当寻呼成本高或位置区域中的小区数量大时,DYNAMIC-3G往往比STATIC-3G执行得更好。
Location management is a key issue in personal communication service networks to guarantee the mobile terminals to continuously receive services when moving from one place to another. In this paper, we study two location management schemes, a dynamic movement-based scheme (DYNAMIC-3G) and a static scheme (STATIC-3G), for 3G cellular networks where home location registers, gateway location registers (GLRs), and visitor location registers form a three-level hierarchical mobility database structure. For both schemes, the cost functions are formulated analytically. We prove that there is an optimal movement threshold that minimizes the total cost function of DYNAMIC-3G and propose a binary search algorithm to find the optimal threshold. Furthermore, we present performance evaluation and comparison of the proposed schemes with the previous schemes in 2G cellular networks where the GLR is not present. Our studies validate the optimality of the DYNAMIC-3G scheme and show that the proposed schemes outperform the previous schemes, especially when the remote-local-cost ratio is high. The comparison results between DYNAMIC-3G and STATIC-3G indicate that DYNAMIC-3G should be adopted when the mobility rate is low, and STATIC-3G should be adopted otherwise. Furthermore, DYNAMIC-3G tends to perform better than STATIC-3G when the paging cost is high or the number of cells in a location area is large.