Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11n-based WLAN

M. Soleymani, B. Maham, Farid Ashtiani
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引用次数: 4

Abstract

Frame aggregation (FA) mechanisms improve the throughput of WLANs. In this paper, the effect of the FA mechanism on the throughput of wireless local area networks (WLANs) has been investigated. To this end, we propose an analytical model in order to analyze an IEEE 802.11n network comprised of an access point (AP) and several conventional nodes (CNs), all in the coverage area of each other. With respect to the heavier download traffic compared to the upload one, in our scenario, only the AP uses an FA mechanism and the other nodes use the basic IEEE 802.11 standard. In our proposed analytical model, the maximum downlink (DL) throughput is derived. Regarding the asymmetry among nodes, our analytical model consists of two different queueing networks: one for the AP and the other one for CNs. We verify the accuracy of our analytical results by simulations, i.e., less than 5% mismatch between the analytical and simulation results. We show that there is a tradeoff between the DL saturation throughput and performance of CNs. In other words, the FA improves the AP saturation throughput at the cost of a little degradation of the performance for CNs.
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基于非对称IEEE 802.11n的WLAN下行链路饱和吞吐量分析
帧聚合(FA)机制提高了无线局域网的吞吐量。本文研究了FA机制对无线局域网(wlan)吞吐量的影响。为此,我们提出了一个分析模型来分析一个由一个接入点(AP)和几个传统节点(CNs)组成的IEEE 802.11n网络,这些节点都在彼此的覆盖范围内。与上传流量相比,下载流量更大,在我们的场景中,只有AP使用FA机制,其他节点使用基本的IEEE 802.11标准。在我们提出的分析模型中,导出了最大下行链路(DL)吞吐量。考虑到节点之间的不对称性,我们的分析模型由两个不同的排队网络组成:一个用于AP,另一个用于cnn。我们通过模拟验证了分析结果的准确性,即分析结果与模拟结果之间的不匹配小于5%。我们表明,在深度学习饱和吞吐量和cnn的性能之间存在权衡。换句话说,FA提高了AP饱和吞吐量,代价是cnn的性能下降了一点。
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