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arXiv 2407.02636eess.SP
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毫米波在扩展现实中的应用:开放用户移动性数据集、特征分析及其对链路质量的影响

MmWave for Extended Reality: Open User Mobility Dataset, Characterisation, and Impact on Link Quality

Alexander Marinsek, Sam De Kunst, Gilles Callebaut, Lieven De Strycker, Liesbet Van der Perre

AI总结:

针对现有研究在XR用户移动性受限场景的局限,本文通过定制测量实验构建开放用户移动性数据集,分析其统计特征及对毫米波链路质量的影响,为无线系统设计和XR移动性建模提供支撑。

摘要:

扩展现实(XR)中的用户移动性会对毫米波(mmWave)链路产生重大影响,可能需要专门的缓解策略来确保可靠连接并避免中断。现有研究主要集中在用户移动性受限且对毫米波信道影响有限的XR应用上。我们开展了专门实验,以扩展对具有高度用户移动性的未来相关XR用例的特征分析。为此,我们进行了量身定制的测量活动,并对收集的跟踪数据进行了特征分析,包括使用统计分布对数据进行近似。此外,我们还解释了记录的移动性对毫米波技术可能产生的影响。该数据集已公开,为无线系统设计提供测试平台,并支持进一步的XR移动性建模。

英文摘要:

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 characterisation 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 characterisation 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 modelling.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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