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A Cross-Layer Analysis for Evaluating the Voice Conversation Performance over Wireless LANs

机译:用于评估无线局域网语音对话性能的横梁分析

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In this article, we present a mathematical model for evaluating the throughput of IEEE 802.11 MAC layer as well as the network-layer performance such as queueing delay or packet loss at each station. Our proposal combines a Markov chain model for evaluating the throughput of the IEEE 802.11 DCF and a queueing model for analyzing the network-layer performance of each station. Through extensive simulations using the simulator ns2, we show that our model can accurately predict how many voice conversations can be multiplexed over a WLAN without loss of any packets. Our model allows us to evaluate the IEEE 802.11 DCF with contention window (CW) differentiation, which is a service differentiation scheme provided by EDCA. In this article, we also investigate how much the CW differentiation could improve the bandwidth utilization by making contention window of the access point smaller than wireless stations.
机译:在本文中,我们介绍了一种用于评估IEEE 802.11 MAC层的吞吐量的数学模型以及在每个站处的排队延迟或分组丢失等网络层性能。我们的提案结合了Markov链模型来评估IEEE 802.11 DCF的吞吐量和用于分析每个站的网络层性能的排队模型。通过使用模拟器NS2的广泛模拟,我们表明我们的模型可以准确地预测可以在WLAN上复用多少语音对话而不会丢失任何数据包。我们的模型允许我们使用争用窗口(CW)差异来评估IEEE 802.11 DCF,这是EDCA提供的服务差异化方案。在本文中,我们还研究CW差异化可以通过使接入点小于无线站的争用窗口来改善带宽利用率。

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