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An analytical model for performance evaluation of multimedia applications over EDCA in an IEEE 802.11e WLAN

机译:用于在802.11e WLAN中通过EDCA进行多媒体应用性能评估的分析模型

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摘要

We extend the modeling heuristic of (Harsha et al. 2006. In IEEE IWQoS '06, pp 178 - 187) to evaluate the performance of an IEEE 802.11e infrastructure network carrying packet telephone calls, streaming video sessions and TCP controlled file downloads, using Enhanced Distributed Channel Access (EDCA). We identify the time boundaries of activities on the channel (called channel slot boundaries) and derive a Markov Renewal Process of the contending nodes on these epochs. This is achieved by the use of attempt probabilities of the contending nodes as those obtained from the saturation fixed point analysis of (Ra-maiyan et al. 2005. In Proceedings ACM Sigmetrics, '05. Journal version accepted for publication in IEEE TON). Regenerative analysis on this MRP yields the desired steady state performance measures. We then use the MRP model to develop an effective bandwidth approach for obtaining a bound on the size of the buffer required at the video queue of the AP, such that the streaming video packet loss probability is kept to less than 1 %. The results obtained match well with simulations using the network simulator, ns-2. We find that, with the default IEEE 802.11e EDCA parameters for accessrncategories AC 1, AC 2 and AC 3, the voice call capacity decreases if even one streaming video session and one TCP file download are initiated by some wireless station. Subsequently, reducing the voice calls increases the video downlink stream throughput by 0.38 Mbps and file download capacity by 0.14 Mbps, for every voice call (for the 11 Mbps PHY). We find that a buffer size of 75KB is sufficient to ensure that the video packet loss probability at the QAP is within 1%.
机译:我们扩展了(Harsha et al。2006.在IEEE IWQoS '06,pp 178-187)中的建模试探法,以评估使用包数据电话,流视频会话和TCP控制文件下载的IEEE 802.11e基础架构网络的性能。增强的分布式通道访问(EDCA)。我们确定通道上活动的时间边界(称为通道槽边界),并得出这些时期上竞争节点的马尔可夫更新过程。这是通过使用竞争节点的尝试概率(从Ra-maiyan等人2005. Proceedings ACM Sigmetrics,'05。Journal版本在IEEE TON中接受)的饱和不动点分析获得的。通过对该MRP进行再生分析,可以得出所需的稳态性能指标。然后,我们使用MRP模型开发一种有效的带宽方法,以获取AP视频队列所需的缓冲区大小的界限,从而使流视频数据包丢失概率保持小于1%。获得的结果与使用网络模拟器ns-2进行的模拟非常吻合。我们发现,使用接入点类别AC 1,AC 2和AC 3的默认IEEE 802.11e EDCA参数,即使某个无线站点发起了一个流视频会话和一个TCP文件下载,语音呼叫容量也会降低。随后,对于每个语音呼叫(对于11 Mbps PHY),减少语音呼叫将使视频下行链路流吞吐量增加0.38 Mbps,文件下载容量增加0.14 Mbps。我们发现75KB的缓冲区大小足以确保QAP处的视频数据包丢失概率在1%以内。

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