mmWave for Extended Reality: Open User Mobility Dataset, Characterization, and Impact on Link Quality

User mobility in extended reality (XR) can have a major impact on millimeter-wave (mmWave) links and may require dedicated mitigation strategies to ensure reliable connections and avoid outage. The available prior art has predominantly focused on XR applications with constrained user mobility and limited impact on mmWave channels. We have performed dedicated experiments to extend the characterization of relevant future XR use cases featuring a high degree of user mobility. To this end, we have carried out a tailor-made measurement campaign and conducted a characterization of the collected tracking data, including the approximation of the data using statistical distributions. Moreover, we have provided an interpretation of the possible impact of the recorded mobility on mmWave technology. The dataset is made publicly accessible to provide a testing ground for wireless system design and to enable further XR mobility modeling.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-08-01
DOI
https://doi.org/10.1109/mcom.001.2300749
Citations
1
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.21

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article

mmWave for Extended Reality: Open User Mobility Dataset, Characterization, and Impact on Link Quality

Alexander Marinšek, Liesbet Van der Perre, Gilles Callebaut, Lieven De Strycker et al.
1 citations
IEEE Communications Magazine
Millimeter-Wave Propagation and Modeling
0.21
article

mmWave for Extended Reality: Open User Mobility Dataset, Characterization, and Impact on Link Quality

Alexander Marinšek, Liesbet Van der Perre, Gilles Callebaut, Lieven De Strycker, Sam De Kunst
article en
1 citations

Abstract

User mobility in extended reality (XR) can have a major impact on millimeter-wave (mmWave) links and may require dedicated mitigation strategies to ensure reliable connections and avoid outage. The available prior art has predominantly focused on XR applications with constrained user mobility and limited impact on mmWave channels. We have performed dedicated experiments to extend the characterization of relevant future XR use cases featuring a high degree of user mobility. To this end, we have carried out a tailor-made measurement campaign and conducted a characterization of the collected tracking data, including the approximation of the data using statistical distributions. Moreover, we have provided an interpretation of the possible impact of the recorded mobility on mmWave technology. The dataset is made publicly accessible to provide a testing ground for wireless system design and to enable further XR mobility modeling.

IEEE Communications MagazineVol. 62(8)
KU Leuven (BE)
Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 50%
Millimeter-Wave Propagation and Modeling
0.21
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