Instrumentation for measuring users’ goodputs in dense Wi-Fi deployments and capacity-planning rules
- 15 Downloads
Before a dense Wi-Fi network is deployed, Wi-Fi providers must be careful with the performance promises they made in their way to win a bidding process. After such deployment takes place, Wi-Fi-network owners—such as public institutions—must verify that the QoS agreements are being fulfilled. We have merged both needs into a low-cost measurement system, a report of measurements at diverse scenarios and a performance prediction tool. The measurement system allows measuring the actual goodput that a set of users are receiving, and it has been used in a number of schools on a national scale. From this experience, we report measurements for different scenarios and diverse factors—which may result of interest to practitioners by themselves. Finally, we translate all the learned lessons to a freely-available capacity-planning tool for forecasting performance given a set of input parameters such as frequency, signal strength and number of users—and so, useful for estimating the cost of future deployments.
KeywordsWi-Fi performance Goodput Wi-Fi-network planning WiFiLytics
This work was partially funded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund under the project TRÁFICA (MINECO/FEDER TEC2015-69417-C2-1-R) and by Naudit High Performance Computing and Networking under the project ESCUELAS CONECTADAS (Convenios 2018 y 2019 “Análisis de tráfico y supercomputación de sobremesa”, art. 83).
- 4.Jardosh, A. P., Ramachandran, K. N., Almeroth, K. C., & Belding-Royer, E. M. (2005). Understanding congestion in IEEE 802.11b wireless networks. In ACM SIGCOMM conference on internet measurement (pp.25–25).Google Scholar
- 6.Brik, V., Rayanchu, S., Saha, S., Sen, S., Shrivastava, V., & Banerjee, S. (2008). A measurement study of a commercial-grade urban WiFi mesh. In ACM SIGCOMM conference on internet measurement (pp. 111–124).Google Scholar
- 8.Kemerlis, V. P., Stefanis, E. C., Xylomenos, G., & Polyzos, G. C. (2006). Throughput unfairness in TCP over WiFi. In Conference on wireless on-demand network systems and services (pp. 26–31).Google Scholar
- 14.Dianu, M.-D., Riihijarvi, J., & Petrova, M. (2014). Measurement-based study of the performance of IEEE 802.11ac in an indoor environment. In IEEE international conference on communications (pp. 5771–5776).Google Scholar
- 15.Tirumala, A., Gates, M., Qin, F., Dugan, J., & Ferguson J. (2019). Iperf–the TCP/UDP bandwidth measurement tool. https://github.com/esnet/iperf.
- 16.DD-WRT. (2019). Opensource firmware for wlan routers and embedded systems. https://www.dd-wrt.com.
- 17.Kriara, L., Molero, E. C., & Gross, T. R. (2016). Evaluating 802.11ac features in indoor WLAN: An empirical study of performance and fairness. In ACM international workshop on wireless network testbeds, experimental evaluation, and characterization (pp. 17–24).Google Scholar
- 18.Simic, L., Riihijärvi, J., & Mähönen, P. (2017). Measurement study of IEEE 802.11ac Wi-Fi performance in high density indoor deployments: Are wider channels always better? In IEEE international symposium on a world of wireless, mobile and multimedia networks (pp. 1–9).Google Scholar
- 21.National Center for Education Statistics. (2019). Average class size in public primary schools, middle schools, high schools, and schools. https://nces.ed.gov/surveys/sass/tables/sass1112_2013314_t1s_007.asp.
- 22.Karmakar, R., Chattopadhyay, S., & Chakraborty, S. (2016). Channel access fairness in IEEE 802.11ac: A retrospective analysis and protocol enhancement. In ACM international symposium on mobility management and wireless access (pp. 51–58).Google Scholar
- 23.HPCN-UAM. WiFiLytics. (2019). https://github.com/jlgarciadorado/wifilytics.
- 25.Ixia. (2017). Ixia blackbook: 802.11ac Wi-Fi benchmarking. http://www.ixiacom.com/blackbook.
- 26.Candela Tech. (2019). Testing WiFi networks with LANforge. https://www.candelatech.com/lf_wifi.php.