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Two-layer modeling of IEEE 802.11x channel occupancy
  • Jae-Seok Bang,
  • Jin-Seok Han,
  • Yong-Hwan Lee
Jae-Seok Bang
Seoul National University
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Jin-Seok Han
hyBee Inc.
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Yong-Hwan Lee
Seoul National University

Corresponding Author:[email protected]

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Low power IoT communication signals (e.g., Bluetooth and ZigBee) may seriously suffer from the presence of high-power co-channel interference like wireless local area network (WLAN) signal. They may effectively avoid WLAN interference by exploiting dynamic characteristics of WLAN traffic. Representing the arrival/departure of WLAN users using an M/M/m/m queueing structure, we consider the characterization of large-scale dynamics of WLAN channel occupancy. We also consider the characterization of small-scale dynamics of WLAN channel occupancy by generating WLAN signal using a two-state semi-Markovian process. Simulation results show that the proposed model generates WLAN signal having similar statistical characteristics to those of real WLAN signal.
31 Jan 2023Submitted to Electronics Letters
31 Jan 2023Assigned to Editor
31 Jan 2023Submission Checks Completed
08 Feb 2023Reviewer(s) Assigned
08 Apr 2023Review(s) Completed, Editorial Evaluation Pending
09 Apr 2023Editorial Decision: Accept