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Predicting throughput in IEEE 802.11 based wireless networks using directional antenna

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In IEEE 802.11 based wireless networks interference increases as more access points are added. A metric helping to quantize this interference seems to be of high interest. In this paper we study the relationship between the \(\textit{improved\,attacking\,case}\) metric, which captures interference, and throughput for IEEE 802.11 based network using directional antenna. The \({y}^{1/3} = a + b\ {(\text {ln}\ x)}^{3}\) model was found to best represent the relationship between the interference metric and the network throughput. We use this model to predict the performance of similar networks and decide the best configuration a network operator could use for planning his network.

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The authors would like to thank the Fundação para a Ciência e a Tecnologia (FCT) of Ministério da Ciência, Tecnologia e Ensino Superior (MCTES), Portugal for supporting this work through grant SFRH/BD/43744/2008 and PTDC/EEA-TEL/120176/2010.

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Correspondence to Saravanan Kandasamy.

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Kandasamy, S., Morla, R., Ramos, P. et al. Predicting throughput in IEEE 802.11 based wireless networks using directional antenna. Wireless Netw 25, 1567–1584 (2019). https://doi.org/10.1007/s11276-017-1612-0

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  • Directional antenna
  • Prediction
  • Regression analysis
  • IEEE 802.11
  • Wireless networks