Accurate E-CID Framework for Indoor Positioning in 5G using Path Tracing and Machine Learning
Author:
Affiliation:
1. Alsatis, Université de Toulouse, CNRS, Toulouse INP, UT3, Toulouse, France
2. Université de Toulouse, CNRS, Toulouse INP, UT3, Toulouse, France
3. Alsatis, Toulouse, France
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3616388.3623406
Reference27 articles.
1. REFERENCES [1] Alsatis. 2023. Internet service provider in Toulouse France. https://alsatis.com/ REFERENCES [1] Alsatis. 2023. Internet service provider in Toulouse France. https://alsatis.com/
2. Propagation measurements and models for wireless communications channels
3. EM DeepRay: An Expedient, Generalizable, and Realistic Data-Driven Indoor Propagation Model
4. Measuring agreement in method comparison studies
5. Blender. 2023. Blender org -- Free and Open Source. https://www.blender.org/ Blender. 2023. Blender org -- Free and Open Source. https://www.blender.org/
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1. Indoor Localization in Current 5G Networks: The Way to Go;2024 IFIP Networking Conference (IFIP Networking);2024-06-03
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