Precise location prediction algorithms using improved random walk-based and generalized Markovian mobility models

Károly Lendvai, P. Fulop, S. Szabó, T. Szálka
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引用次数: 2

Abstract

As in recent 3G UMTS networks the number of users is increasing dynamically and the packet-switched data transfer become dominant, the network providers and operators face the increasing complexity of the network management and operation tasks.
基于改进随机行走和广义马尔可夫移动模型的精确位置预测算法
在最近的3G UMTS网络中,随着用户数量的动态增长和分组交换数据传输的主导地位,网络提供商和运营商面临的网络管理和运营任务日益复杂。
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