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

Networks 2008 - The 13th International Telecommunications Network Strategy and Planning Symposium Pub Date : 2008-09-01 DOI:10.1109/NETWKS.2008.4763675

Károly Lendvai, P. Fulop, S. Szabó, T. Szálka

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引用次数: 2

摘要

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

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.

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来源期刊

Networks 2008 - The 13th International Telecommunications Network Strategy and Planning Symposium

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