Dynamic User Grouping based on Location and Heading in 5G NR Systems

Dino Pjanić, Korkut Emre Arslantürk, Xuesong Cai, Fredrik Tufvesson
10/22/2024
eess.SPcs.ITcs.LG

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Abstract

User grouping based on geographic location in fifth generation (5G) New Radio (NR) systems has several applications that can significantly improve network performance, user experience, and service delivery. We demonstrate how Sounding Reference Signals channel fingerprints can be used for dynamic user grouping in a 5G NR commercial deployment based on outdoor positions and heading direction employing machine learning methods such as neural networks combined with clustering methods.

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Cite this paper

@article{pjani2024dynamic,
  title  = {Dynamic User Grouping based on Location and Heading in 5G NR Systems},
  author = {Dino Pjanić and Korkut Emre Arslantürk and Xuesong Cai and Fredrik Tufvesson},
  year   = {2024},
  eprint = {2410.19854},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.19854v1}
}

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