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

Pjanić, Dino LU ; Arslantürk, Korkut Emre ; Cai, Xuesong LU and Tufvesson, Fredrik LU orcid (2024) IEEE VEhicular Technology Conference: VTC 2024
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.
Abstract (Swedish)
User grouping based on geographic location in the 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.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
IEEE Vehicular Technology Conference
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE VEhicular Technology Conference: VTC 2024
conference location
United States
conference dates
2024-10-07 - 2024-10-10
external identifiers
  • scopus:85213059795
ISBN
979-833151778-6
DOI
10.1109/VTC2024-Fall63153.2024.10757679
language
English
LU publication?
yes
id
f8b36965-ffe8-4ac9-a158-631570d00b3d
date added to LUP
2024-11-14 10:10:45
date last changed
2025-05-30 21:57:43
@inproceedings{f8b36965-ffe8-4ac9-a158-631570d00b3d,
  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.}},
  author       = {{Pjanić, Dino and Arslantürk, Korkut Emre and Cai, Xuesong and Tufvesson, Fredrik}},
  booktitle    = {{IEEE Vehicular Technology Conference}},
  isbn         = {{979-833151778-6}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Dynamic User Grouping based on Location and Heading in 5G NR Systems}},
  url          = {{https://lup.lub.lu.se/search/files/206861131/Dynamic_User_grouping_based_on_Location_and_Heading_in_5G_NR_System.pdf}},
  doi          = {{10.1109/VTC2024-Fall63153.2024.10757679}},
  year         = {{2024}},
}