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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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The dependence of TCP downstream throughput (TCPdownT) on signal to noise ratio (SNR) has been studied in this paper. Measurements were taken for multiple users 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. Models able to predict TCPdownT with respect to SNR observed were developed and validated for different signal categories. 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 previous work on TCP upstream throughput showed that it is more accurate to investigate upstream and downstream throughput separately. Using our models, IEEE 802.11b WLAN installers will be able to predict the TCPdownT by simply measuring and monitoring only the received SNR which is already part of the network installation process.
机译:本文研究了TCP下行吞吐量(TCPdownT)对信噪比(SNR)的依赖性。使用基于基础架构的IEEE 802.11b WLAN在传输不同的服务质量(QoS)流量的同时,针对小型办公室,开放式走廊和自由空间环境中的多个用户进行了测量。针对不同的信号类别,开发并验证了能够针对观察到的SNR预测TCPdownT的模型,并对其进行了验证。对于普通(所有SNR)模型,强信号模型,灰色信号模型和弱信号模型,我们观察到RMS误差分别为0.938012 Mbps,1.047012 Mbps,0.65833 Mbps和0.452927 Mbps,这大大低于与之相似的模型。比较的。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。使用我们的模型,IEEE 802.11b WLAN安装程序将仅通过测量和监视已属于网络安装过程的接收到的SNR就能预测TCPdownT。

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