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Tytuł artykułu

An analysis of BSS coloring mechanism in IEEE 802.11ax dense networks

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents an analysis of BSS coloring scheme defined in IEEE 802.11ax standard. The efficiency of dense networks for different scenarios was analyzed and compared. This analysis covers various topologies and work configurations through the use of multiple parameters of the PHY and MAC layers. A positive impact of the coloring mechanism on the QoS was observed. The study also analyzed the impact of the RTS/CTS mechanism on the obtained network performance and adequate prioritization of various traffic classes. It was shown that the proper selection of the coloring mechanism parameters in the IEEE 802.11ax standard has a strong impact on QoS and the performance of dense networks.
Słowa kluczowe
Rocznik
Strony
855--862
Opis fizyczny
Bibliogr. 18 poz., rys., tab., wykr.
Twórcy
  • Faculty of Computer Science, Electronics and Telecommunications, Institute of Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków
  • Faculty of Computer Science, Electronics and Telecommunications, Institute of Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków
Bibliografia
  • [1] Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2017–2022, White Paper.
  • [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, IEEE Standard 802.11-2016.
  • [3] IEEE Standard for Information technology-Local and metropolitan area networks-Specific requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications - Amendment 8: Medium Access Control (MAC) Quality of Service Enhancements, IEEE 802.11e-2005.
  • [4] I. Syed and B. Roh, ”Delay analysis of IEEE 802.11e EDCA with enhanced QoS for delay sensitive applications,” in Proc. Conference 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC), Las Vegas, NV, 2016, pp. 1-4. https://doi.org/10.1109/PCCC.2016.7820668.
  • [5] IEEE Std 802.11ax-2021 (Amendment to IEEE Std 802.11-2020), vol., no., pp.1-767, 19 May 2021.
  • [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,” in Proc. Conference 2020 International Conference on Smart Technology and Applications (ICoSTA), Surabaya, Indonesia, 2020, pp. 1-5. https://doi.org/10.1109/ICoSTA48221.2020.1570609404.
  • [7] M. Natkaniec, Ł. Prasnal, and M. Szymakowski, ”A performance analysis of IEEE 802.11ax networks,” International Journal of Electronics and Telecommunications, ISSN 2081-8491, pp. 225-230, 2020 vol. 66 no. 1. https://doi.org/10.24425/ijet.2020.131867.
  • [8] I. Selinis, M. Filo, S. Vahid, J. Rodriguez and R. Tafazolli, ”Evaluation of the DSC algorithm and the BSS color scheme indense cellular-like IEEE 802.11ax deployments,” in Proc. Conference 2016 IEEE 27th International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Valencia, 2016. https://doi.org/10.1109/PIMRC.2016.7794832.
  • [9] I. Selinis, K. Katsaros, S. Vahid and R. Tafazolli, ”Control OBSS/PD Sensitivity Threshold for IEEE 802.11ax BSS Color,” in Proc. Conference 2018 IEEE 29th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, 2018, pp. 1-7. https://doi.org/10.1109/PIMRC.2018.8580778.
  • [10] N. Šepi ́c, E. Kočan, Z. Veljović and M. Pejanović, ”Assessment of novel solutions for throughput enhancement in IEEE 802.11ax networks,” in Proc. Conference 2019 27th Telecommunications Forum (TELFOR), 2019, pp. 1-4, https://doi.org/10.1109/TELFOR48224.2019.8971156.
  • [11] N. Šepić, E. Kočan and M. Pejanović-Djurišić, ”Evaluating spatial reuse in 802.11ax networks with interference threshold adjustment,” in Proc. Conference 2020 24th International Conference on Information Technology (IT), Zabljak, Montenegro, 2020, pp. 1-4. https://doi.org/10.1109/IT48810.2020.9070717.
  • [12] L. Lanante and S. Roy, ”Performance Analysis of the IEEE 802.11ax OBSS PD-Based Spatial Reuse,” IEEE/ACM Transactions on Networking, vol. 30, no. 2, pp. 616-628, April 2022, https://doi.org/10.1109/TNET.2021.3117816.
  • [13] “Introduction to 802.11ax High-Efficiency Wireless”, National Instruments White paper, Aug 2020.
  • [14] K. Lee ”Using OFDMA for MU-MIMO User Selection in 802.11ax-Based Wi-Fi Networks”, IEEE Access, vol. 7, pp. 186041-186055, 2019. https://doi.org/10.1109/ACCESS.2019.2960555.
  • [15] 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.
  • [16] F. Wilhelmi, S. Barrachina-Muñoz and B. Bellalta, ”On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs,” in Proc. Conference 2019 IEEE Conference on Standards for Communications and Networking (CSCN), GRANADA, Spain, 2019, pp. 1-6. https://doi.org/10.1109/CSCN.2019.8931315.
  • [17] NS-3 simulator. [Online] http://www.nsnam.org/.
  • [18] K. Kosek, M. Natkaniec, L. Vollero Problems with Correct Traffic Differentiation in Line Topology IEEE 802.11 EDCA Networks in the Presence of Hidden and Exposed Nodes” in Proc. Conference Computational Science and Its Applications - ICCSA 2009, Volume 5593. https://doi.org/10.1007/978-3-642-02457-3-23.
Uwagi
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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cbde03e2-a790-4385-8a66-34202165f478
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