A Throughput Estimation Model for IEEE 802.11n MIMO Link in Wireless Local-Area Networks

Sumon Kumar Debnath, M. Saha, N. Funabiki, W. Kao
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引用次数: 9

Abstract

To design an efficient wireless local-area network (WLAN), we have studied the throughput estimation model for the IEEE 802.11n link both in indoor and outdoor environments. This model first estimates the received signal strength (RSS) at the receiving node using the log distance path loss model. Then, it converts RSS to the throughput using the sigmoid function. The parameters in these functions are optimized by applying the parameter optimization tool to measurement results. In this paper, we examine the throughput estimation model for the Multiple Input Multiple Output (MIMO) link in IEEE 802.11n. MIMO link can increase the transmission capacity using multiple streams. First, throughput measurements for MIMO links are conducted using commercial devices and software in three network fields. Then, using the results, the parameters in the model are optimized by the tool. The evaluation results show that this model can estimate throughputs with considerably high accuracy in any field when compared with the ns-3 network simulator. Besides, the model is modified to improve the accuracy when multiple hosts are communicating with one access point (AP) simultaneously.
无线局域网中IEEE 802.11n MIMO链路的吞吐量估计模型
为了设计高效的无线局域网(WLAN),研究了IEEE 802.11n链路在室内和室外环境下的吞吐量估计模型。该模型首先使用对数距离路径损耗模型估计接收节点的接收信号强度(RSS)。然后,它使用sigmoid函数将RSS转换为吞吐量。将参数优化工具应用于测量结果,对这些函数中的参数进行优化。在本文中,我们研究了IEEE 802.11n中多输入多输出(MIMO)链路的吞吐量估计模型。MIMO链路可以使用多个流来增加传输容量。首先,在三个网络领域使用商用设备和软件对MIMO链路进行吞吐量测量。然后,利用该工具对模型中的参数进行优化。评估结果表明,与ns-3网络模拟器相比,该模型可以在任何领域以相当高的精度估计吞吐量。此外,还对模型进行了改进,以提高多台主机同时与一个接入点通信时的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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