Low-Complexity Centralized Multi-Cell Radio Resource Allocation for 5G URLLC

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Abstract

This paper addresses the problem of down-link centralized multi-cell scheduling for ultra-reliable lowlatency communications in a fifth generation New Radio (5G NR) system. We propose a low-complexity centralized packet scheduling algorithm to support quality of service requirements of URLLC services. Results from advanced 5G NR system-level simulations are presented to assess the performance of the proposed solution. It is shown that the centralized architecture significantly improves the URLLC latency. The proposed algorithm achieves gains of 99% and 90% URLLC latency reduction in comparison to distributed scheduling and spectral efficient dynamic point selection.

Original languageEnglish
Title of host publication2020 IEEE Wireless Communications and Networking Conference (WCNC)
Number of pages6
PublisherIEEE
Publication date19 Jun 2020
Article number9120469
ISBN (Print)978-1-7281-3107-8
ISBN (Electronic)978-1-7281-3106-1
DOIs
Publication statusPublished - 19 Jun 2020
Event2020 IEEE Wireless Communications and Networking Conference (WCNC) - Seoul, Korea, Republic of
Duration: 25 May 202028 May 2020

Conference

Conference2020 IEEE Wireless Communications and Networking Conference (WCNC)
CountryKorea, Republic of
CitySeoul
Period25/05/202028/05/2020
SeriesIEEE Wireless Communications and Networking Conference, WCNC
ISSN1525-3511

Keywords

  • 5G New Radio
  • Centralized scheduling
  • Dynamic point selection.
  • Radio resource allocation
  • URLLC

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    Karimidehkordi, A., Pedersen, K. I., & E. Mogensen, P. (2020). Low-Complexity Centralized Multi-Cell Radio Resource Allocation for 5G URLLC. In 2020 IEEE Wireless Communications and Networking Conference (WCNC) [9120469] IEEE. IEEE Wireless Communications and Networking Conference, WCNC https://doi.org/10.1109/WCNC45663.2020.9120469