Characterizing Temporal SNR Variation in 802.11 Networks
Characterizing Temporal SNR Variation in 802.11 Networks
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DOI：
10.1109/tvt.2007.912599
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发表时间：
2008-07
影响因子：
6.8
通讯作者：
R. Guha;S. Sarkar
中科院分区：
文献类型：
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作者：
R. Guha;S. Sarkar
无线介质访问控制（MAC）协议、编码方案和传输算法的分析和设计可以从对信道质量变化的理解中受益匪浅。我们尝试使用有限状态出生-死亡马尔可夫模型来表示信道质量变化。我们概述了一种基于使用普通无线芯片组获得的测量走线来计算模型参数的方法。使用这个马尔可夫链，我们根据信道质量、长期相关性和突发长度分布统计地评估性能。这种模型在描述802.11网络特征方面明显优于传统的双状态马尔可夫链，同时保持了出生-死亡模型的简单性。我们解释了模型参数在不同地点和不同时间的变化。有限状态平稳模型易于分析，有利于高效算法的设计，加快无线网络协议的仿真速度。
The analysis and design of wireless medium access control (MAC) protocols, coding schemes, and transmission algorithms can significantly benefit from an understanding of the channel quality variation. We attempt to represent channel quality variation using a finite-state birth-death Markov model. We outline a method to compute the parameters of the model based on measured traces obtained using common wireless chipsets. Using this Markov chain, we statistically evaluate the performance based on the channel quality, long-term correlations, and burst length distributions. Such a model significantly performs better than a traditional two-state Markov chain in characterizing 802.11 networks while maintaining the simplicity of a birth-death model. We interpret the variation of the model parameters across different locations and different times. A finite-state stationary model is amenable to analysis and can substantially benefit the design of efficient algorithms and make simulations for wireless network protocols faster.