An Optimization of Network Performance in IEEE 802.11ax Dense Networks

• Autorzy: Natkaniec Marek , Kras Mateusz

Identyfikatory

DOI

10.24425/ijet.2023.144347

• Języki publikacji: EN

Abstrakty

EN

The paper focuses on the optimization of IEEE 802.11ax dense networks. The results were obtained with the use of the NS-3 simulator. Various network topologies were analyzed and compared. The advantage of using MSDU and MPDU aggregations in a dense network environment was shown. The process of improving the network performance for changes in the transmitter power value, CCA Threshold, and antenna gain was presented. The positive influence of BSS coloring mechanism on overal network efficiency was revealed. The influence of receiver sensitivity on network performance was determined.

Słowa kluczowe

EN

dense networks; IEEE 802.11ax; network optimization; BSS coloring

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2023
• Tom: Vol. 69, No. 1
• Strony: 169--176
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr.

Twórcy

autor

Natkaniec Marek

• Faculty of Computer Science, Electronics and Telecommunications, Institute of Telecommunications, AGH University of Science and Technology, Poland

autor

Kras Mateusz

• AGH University of Science and Technology, Poland

Bibliografia

• [1] IEEE Standard for Information technology-Telecommunications and information exchange between systems Local and metropolitan area networks-Specific requirements - Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE Standard 802.11-2020.
• [2] IEEE Standard for Information Technology–Telecommunications and Information Exchange between Systems Local and Metropolitan Area Networks–Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 1: Enhancements for High-Efficiency WLAN,” in IEEE Std 802.11ax-2021 (Amendment to IEEE Std 802.11-2020) , vol., no., pp.1-767, 19 May 2021.
• [3] E. Khorov, A. Kiryanov, A. Lyakhov and G. Bianchi, ”A Tutorial on IEEE 802.11ax High Efficiency WLANs”, IEEE Communications Surveys & Tutorials, vol. 21, no. 1, pp. 197-216, 2019. https://doi.org/10.1109/COMST.2018.2871099
• [4] Szymakowski M. Natkaniec M., Prasnal Ł., Analiza symulacyjna sieci standardu IEEE 802.11ax. Przeglad Telekomunikacyjny + Wiadomości Telekomunikacyjne, pp. 415-419, 2019. https://doi.org/10.15199/59.2019.6.63
• [5] A. Masiukiewicz. Throughput comparison between the new hew 802.11ax standard and 802.11n/ac standards in selected distance windows. International Journal of Electronics and Telecommunications, pages 79-84, 2019. https://doi.org/10.24425/ijet.2019.126286
• [6] A. F. Rochim, B. Harijadi, Y. P. Purbanugraha, S. Fuad and K. A. Nugroho, ”Performance comparison of wireless protocol IEEE 802.11ax vs 802.11ac,” 2020 International Conference on Smart Technology and Applications (ICoSTA), 2020, pp. 1-5. https://doi.org/10.1109/ICoSTA48221.2020.1570609404
• [7] F. Wilhelmi, S. Barrachina-Muñoz and B. Bellalta, ”On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs,” 2019 IEEE Conference on Standards for Communications and Networking (CSCN), 2019, pp. 1-6. https://doi.org/10.1109/CSCN.2019.8931315
• [8] A. Malhotra, M. Maity and A. Dutta, ”How much can we reuse? An empirical analysis of the performance benefits achieved by spatial-reuse of IEEE 802.11ax,” 2019 11th International Conference on Communication Systems Networks (COMSNETS), 2019, pp. 432-435. https://doi.org/10.1109/COMSNETS.2019.8711404
• [9] 802.11ax Downlink Throughput Comparison of OFDM and OFDMA Through System-level Simulation. https://www.mathworks.com/help/wlan/ug/802-11ax-downlink-throughput-comparison-of-ofdm-and-ofdma-through-system-level-simulation.html
• [10] G. Naik, S. Bhattarai and J. -M. Park, ”Performance Analysis of Uplink Multi-User OFDMA in IEEE 802.11ax,” 2018 IEEE International Conference on Communications (ICC), 2018, pp. 1-6. https://doi.org/10.1109/ICC.2018.8422692
• [11] Z. Machrouh and A. Najid, ”High Efficiency WLANs IEEE 802.11ax Performance Evaluation,” 2018 International Conference on Control, Automation and Diagnosis (ICCAD), 2018, pp. 1-5. https://doi.org/10.1109/CADIAG.2018.8751296
• [12] M. S. Afaqui, E. Garcia-Villegas, E. Lopez-Aguilera, G. Smith and D. Camps, ”Evaluation of dynamic sensitivity control algorithm for IEEE 802.11ax,” 2015 IEEE Wireless Communications and Networking Conference (WCNC), 2015, pp. 1060-1065. https://doi.org/10.1109/WCNC.2015.7127616
• [13] M. S. Afaqui, E. Garcia-Villegas, E. Lopez-Aguilera and D. Camps-Mur, ”Dynamic sensitivity control of access points for IEEE 802.11ax,” 2016 IEEE International Conference on Communications, 2016, pp. 1-7. https://doi.org/10.1109/ICC.2016.7511025
• [14] Usha Andra Taru Khurana Thomas Barnett, Jr. Shruti Jain. Cisco visual networking index (VNI). https://www.cisco.com/c/dam/m/en-us/network-intelligence/service-provider/digital-transformation/knowledge-network-webinars/pdfs/1213-business-services-ckn.pdf, 2018
• [15] Z. Zhong, P. Kulkarni, F. Cao, Z. Fan and S. Armour, ”Issues and challenges in dense WiFi networks,” 2015 International Wireless Communications and Mobile Computing Conference (IWCMC), 2015, pp. 947-951. https://doi.org/10.1109/IWCMC.2015.7289210
• [16] Jeongkeun Lee, Wonho Kim, Sung-Ju Lee, Daehyung Jo, Jiho Ryu, Taekyoung Kwon, and Yanghee Choi. An experimental study on the capture effect in 802.11a networks. In Proceedings of the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization, pages 19-26, 2007. https://doi.org/10.1145/1287767.1287772
• [17] NS-3 simulator. [Online] http://www.nsnam.org/

Uwagi

1. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

2. This research was supported by the Polish Ministry of Science and Higher Education with the subvention funds of the Faculty of Computer Science, Electronics and Telecommunications of AGH University of Science and Technology.