基于服务的CRRM算法的用户级马尔可夫模型

2010 International Conference on Multimedia Computing and Information Technology (MCIT) Pub Date : 2010-03-02 DOI:10.1109/MCIT.2010.5444856

Leijia Wu, Abdallah E. AL Sabbagh, K. Sandrasegaran, M. Elkashlan

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引用次数: 1

摘要

为了支持无线接入技术(RAT)选择算法的概念发展，采用了马尔可夫模型理论。性能指标可以从马尔可夫模型的稳态概率中导出。本文在已有的两个共址rat马尔可夫模型的基础上，对三个共址rat系统的用户级马尔可夫模型进行了扩展。利用提出的马尔可夫模型研究了基于服务的RAT选择算法。给出了基于马尔可夫模型的数值结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A User Level Markov model for service based CRRM algorithm

In order to support the conceptual development of Radio Access Technology (RAT) selection algorithms, the theory of Markov model has been used. Performance metrics can be derived from the steady state probabilities of a Markov model. This paper extends a User Level Markov model for a three colocated RATs system from existing two co-located RATs Markov models. The service based RAT selection algorithm has been studied using the proposed Markov model. Numerical results obtained from the proposed Markov model are presented.

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2010 International Conference on Multimedia Computing and Information Technology (MCIT)

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