Efficiency increase in the 802.11 Ac standard performance due to the influence of Airtime Fairness technology

Authors

  • Р.І. Турчин
  • Л.О. Токар
  • Я.О. Красноженюк

DOI:

https://doi.org/10.30837/rt.2020.2.201.13

Keywords:

wireless network, performance, airtime, monopolization, channel utilization

Abstract

The article considers one of the critical problems of wireless network performance, namely, monopolization of airtime by slow clients.

The advantages of wireless Wi-Fi technology are considered. The main versions of Wi-Fi standards are analyzed. It is shown that a wide variety of Wi-Fi standards is aimed at improving network performance indicators, which is expressed in increasing the transmission speed, optimizing the use of frequency bands, increasing the efficiency of Wi-Fi in segments with high subscriber density, as well as in the possibility of multiple streaming of high definition video.

The IEEE 802.11ac standard is analyzed. The choice of 802.11 ac technology is based on its availability and flexibility. It is indicated that the main problem point of this standard is the inconvenience of its performance under strong differentiation of client devices, which is reflected in a decrease in network bandwidth as a whole.

The network performance using Airtime Fairness technology is analyzed. To solve the problem of monopolization of airtime by slow clients, the cyclic method of dividing airtime into given intervals has been used. The necessary equipment, hardware and initial conditions for the study are indicated. It is shown that the network efficiency is determined by the following productivity indicators: average packet productivity, average bandwidth and wireless channel utilization.

It has been explained that with changes in system settings due to activation of Airtime Fairness technology algorithms, there is an increase in packet productivity and average bandwidth, as well as a decrease in the utilization rate of the wireless channel, which proves the presence of positive changes in the wireless network.

References

Dmitry Denisov The Future of Wi-Fi Technology // IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. 2017. 08–13 October. Montreal, QC, Canada. P. 211–215.

Jianjun Lei, Shengjie Peng and Yu Dai Adaptive Access Mechanism Based on Network State Detection in Multi-rate IEEE 802.11 WLANs // Cybernetics and Algorithms in Intelligent Systems Proceeding of 7th Computer Science On-line Conference. 2018. Vol.3. P. 259–271.

Макаренко В.С. 802.11ax – новая версия стандарта высокоскоростной системы связи Wi-Fi // Телекоммуникации и связь. 2017. № 2. С. 42–51.

Дмитрий Ганьжа.Wi-Fi всякий-разный // Журнал сетевых решений/LAN. 2017. № 10. С. 42–52.

Rick McGeer, Mark Berman, Chip Elliott, Robert Ricci The GENI book. Switzerland: Springer, 2016. 651 с. DOI 10.1007/978-3-319-33769-2/

Bhanage G., Daya R., Seskar I. & Raychaudhuri D. VNTS: A Virtual Network Traffic Shaper for Air Time Fairness in 802.16e Systems [Электронный ресурс] // IEEE International Conference in Communications (ICC). Режим доступа: http://dx.doi.org/10.1109/ICC.2010.5502484.

How to Cite

Турчин, Р., Токар, Л., & Красноженюк, Я. (2020). Efficiency increase in the 802.11 Ac standard performance due to the influence of Airtime Fairness technology. Radiotekhnika, 2(201), 145–152. https://doi.org/10.30837/rt.2020.2.201.13

Issue

Section

Articles