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

机译:TCP802.11吞吐量对IEEE802.11b WLAN系统中SNR依赖性的实证研究

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The dependence of TCP downstream throughput (TCP_(down)T) on signal to noise ratio (SNR) in an IEEE802.11b WLAN system was investigated in various environments and varieties of QoS traffic. TCP_(down)T was measured for various SNR observed. An Infrastructure based IEEE802.11b WLAN system having networked computers on which measurement software were installed, was set up consecutively in various environments (open corridor, small offices with block walls and plaster boards and free space). Empirical models describing TCP_(down)T against SNR for different signal ranges (all ranges of signals, strong signals only, grey signals only and weak signals only) were statistically generated and validated. As the SNR values changed from high (strong signals) through low (grey signals) to very low (weak signals), our results show a strong dependence of TCP_(down)T on the received SNR. Our models showed lower RMS errors when compared with other similar models. We observed RMS errors of 0.6734791 ? Mbps, 0.472209 ? Mbps, 0.9111563 ? Mbps and 0.5764460 ? Mbps for general (all SNR) model, strong signals model, grey signals model and Weak signals model respectively. Our models will provide researchers and WLAN systems users with a tool to estimate the TCP downstream throughput in a real network in various environments by monitoring the received SNR.
机译:在各种环境和各种QoS流量中,研究了IEEE802.11b WLAN系统中TCP下行吞吐量(TCP_(down)T)对信噪比(SNR)的依赖性。对于观察到的各种SNR,测量TCP_(down)T。在各种环境(开放的走廊,带有砌墙和石膏板的小型办公室以及自由空间)中,连续地建立了基于基础设施的IEEE802.11b WLAN系统,该系统具有安装了测量软件的联网计算机。统计生成并验证了描述针对不同信号范围(所有信号范围,仅强信号,仅灰度信号和仅弱信号)的针对SNR的TCP_(down)T的经验模型。随着SNR值从高(强信号)到低(灰信号)到非常低(弱信号)的变化,我们的结果表明TCP_(down)T对接收到的SNR的依赖性很大。与其他类似模型相比,我们的模型显示出更低的RMS误差。我们观察到RMS误差为0.6734791? Mbps 0.472209? Mbps,0.9111563? Mbps和0.5764460?分别针对常规(所有SNR)模型,强信号模型,灰度信号模型和弱信号模型的Mbps。我们的模型将为研究人员和WLAN系统用户提供一种工具,可以通过监视接收到的SNR来估计各种环境中真实网络中的TCP下游吞吐量。

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