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首页> 外文期刊>Journal of King Saud University: Physics and Mathematics >Measurement and modelling of TCP downstream throughput dependence on SNR in an IEEE802.11b WLAN system
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Measurement and modelling of TCP downstream throughput dependence on SNR in an IEEE802.11b WLAN system

机译:在IEEE802.11b WLAN系统中TCP下行吞吐量对SNR的依赖性的测量和建模

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This paper presents our study on the dependence of TCP downstream throughput (TCP_(down)T) on signal to noise ratio (SNR) for multiple users in an IEEE 802.11b Wireless Local Area Network (WLAN) system. The study was carried out in small offices, open corridors and free space environments using an infrastructure based IEEE 802.11b WLAN while transmitting different quality of service (QoS) traffic all corresponding to different wireless multimedia tags. Models describing TCP_(down)T against SNR for different signal categories were statistically generated and validated. Our findings show a large variation in the throughput behaviour of the IEEE 802.11b WLAN system for the different categories of signals. We observed RMS errors of 0.938012 ? Mbps, 1.047012 ? Mbps, 0.65833 ? Mbps and 0.452927 ? Mbps for the general (all SNR) model, strong signals model, grey signals model and weak signals model respectively which were much lower than that of similar models with which they were compared. Comparing our results with a previous work on TCP upstream throughput showed that it is more accurate to investigate upstream and downstream throughput separately. Our models enable network designers and installers to predict the TCP_(down)T without the need to measure additional parameters other than the observed SNR which is already part of the normal network installation process.
机译:本文介绍了我们对IEEE 802.11b无线局域网(WLAN)系统中多个用户的TCP下行吞吐量(TCP_(down)T)对信噪比(SNR)的依赖性的研究。这项研究是在小型办公室,开放式走廊和自由空间环境中使用基于IEEE 802.11b WLAN的基础架构进行的,同时传输不同的服务质量(QoS)流量,这些流量均对应于不同的无线多媒体标签。统计生成并验证了针对不同信号类别描述针对SNR的TCP_(down)T模型。我们的发现表明,针对不同类别的信号,IEEE 802.11b WLAN系统的吞吐量行为存在很大差异。我们观察到RMS误差为0.938012? Mbps,1.047012? Mbps 0.65833? Mbps和0.452927?通用(所有SNR)模型,强信号模型,灰度信号模型和弱信号模型的Mbps分别比与其进行比较的类似模型的Mbps低得多。将我们的结果与先前有关TCP上游吞吐量的工作进行比较,结果表明,分别研究上游和下游吞吐量更为准确。我们的模型使网络设计人员和安装人员可以预测TCP_(down)T,而无需测量已观察到的SNR(这已是正常网络安装过程的一部分)以外的其他参数。

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