UWB Localization-of-Things via Soft Information: Network Experimentation in Indoor Environment
Carlos Antonio Gomez Vega (University of Ferrara); Moe Win (Massachusetts Institute of Technology, USA); Andrea Conti (University of Ferrara)
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Location awareness is crucial for numerous applications in fifth generation (5G) and beyond ecosystems. Localization-of-things (LoT) via soft information (SI) enables accurate localization, tracking, and navigation of networked nodes. This paper demonstrates real-time SI-based LoT using ultra-wideband (UWB) radios. We consider two data collection approaches and evaluate them via network experimentation in an indoor environment. Experimental results show the potential of SI-based LoT using UWB technology to satisfy service level requirements of 5G and beyond ecosystems.