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Smart Preliminary Channel Access to Support Real-Time Traffic in Wi-Fi Networks

Author

Listed:
  • Kirill Chemrov

    (Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, Russia)

  • Dmitry Bankov

    (Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, Russia)

  • Evgeny Khorov

    (Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, Russia)

  • Andrey Lyakhov

    (Institute for Information Transmission Problems of the Russian Academy of Sciences, 127051 Moscow, Russia)

Abstract

Real-time applications (RTA) are an important use case for IEEE 802.11be, a new amendment to the Wi-Fi standard. This amendment introduces new complicated mechanisms to provide low delay and high reliability for RTA, but many of them are not supported by legacy devices that may be present in future Wi-Fi networks. In contrast, the preliminary channel access (PCA) method is designed to satisfy strict RTA requirements even in the presence of legacy devices and does not require significant changes to the Wi-Fi protocol. However, it significantly reduces the capacity for non-RTA traffic. This paper introduces a Smart PCA method, which improves the performance of all the stations in scenarios with multiple RTA stations. Extensive simulation shows that the Smart PCA method guarantees low delays for intensive RTA traffic in these scenarios. Moreover, it doubles the network capacity for the stations with non-RTA traffic.

Suggested Citation

  • Kirill Chemrov & Dmitry Bankov & Evgeny Khorov & Andrey Lyakhov, 2022. "Smart Preliminary Channel Access to Support Real-Time Traffic in Wi-Fi Networks," Future Internet, MDPI, vol. 14(10), pages 1-14, October.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:10:p:296-:d:943724
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    References listed on IDEAS

    as
    1. Dmitry Bankov & Evgeny Khorov & Andrey Lyakhov & Mark Sandal, 2019. "Enabling real-time applications in Wi-Fi networks," International Journal of Distributed Sensor Networks, , vol. 15(5), pages 15501477198, May.
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