UWB Assisted Digital Twin for Enhanced Spatial Reuse in Wi-Fi 7

T. Tolga Sari; Subhramoy Mohanti; Gokhan Secinti

doi:10.1109/MCOM.001.2400605

UWB Assisted Digital Twin for Enhanced Spatial Reuse in Wi-Fi 7

T. Tolga Sari, Subhramoy Mohanti, Gokhan Secinti

Department of Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The increasing number of connected devices is leading to denser wireless local area networks (WLANs). This density significantly degrades the overall performance of WLANs due to co-channel interference, which poses challenges for emerging applications like Extended Reality (XR) that require high bandwidth and low latency. To address this issue, we create a Digital Twin of the environment by utilizing Ultra-Wide-Band (UWB) assisted localization and Sionna-assisted ray tracing. By accurately modeling the environment, our approach enhances Coordinated Beamforming (CBF) and enables dynamic Clear Channel Assessments (CCAs). Our solution enhances spatial reuse, resulting in a 24.6% increase in aggregated throughput while also reducing the average contention window size by 15.4% compared to conventional scanning based beamforming.

Original language	English
Journal	IEEE Communications Magazine
DOIs	https://doi.org/10.1109/MCOM.001.2400605
Publication status	Accepted/In press - 2025

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© 1979-2012 IEEE.

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title = "UWB Assisted Digital Twin for Enhanced Spatial Reuse in Wi-Fi 7",

abstract = "The increasing number of connected devices is leading to denser wireless local area networks (WLANs). This density significantly degrades the overall performance of WLANs due to co-channel interference, which poses challenges for emerging applications like Extended Reality (XR) that require high bandwidth and low latency. To address this issue, we create a Digital Twin of the environment by utilizing Ultra-Wide-Band (UWB) assisted localization and Sionna-assisted ray tracing. By accurately modeling the environment, our approach enhances Coordinated Beamforming (CBF) and enables dynamic Clear Channel Assessments (CCAs). Our solution enhances spatial reuse, resulting in a 24.6\% increase in aggregated throughput while also reducing the average contention window size by 15.4\% compared to conventional scanning based beamforming.",

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AB - The increasing number of connected devices is leading to denser wireless local area networks (WLANs). This density significantly degrades the overall performance of WLANs due to co-channel interference, which poses challenges for emerging applications like Extended Reality (XR) that require high bandwidth and low latency. To address this issue, we create a Digital Twin of the environment by utilizing Ultra-Wide-Band (UWB) assisted localization and Sionna-assisted ray tracing. By accurately modeling the environment, our approach enhances Coordinated Beamforming (CBF) and enables dynamic Clear Channel Assessments (CCAs). Our solution enhances spatial reuse, resulting in a 24.6% increase in aggregated throughput while also reducing the average contention window size by 15.4% compared to conventional scanning based beamforming.

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SN - 0163-6804

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JF - IEEE Communications Magazine

ER -

UWB Assisted Digital Twin for Enhanced Spatial Reuse in Wi-Fi 7

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