A Threshold-Free Random Access Preamble Detection Method Based on Joint Clustering for 6G NTN

Li Zhen*, Yue Wang, Teng Sun, Wenjing Wang, Keping Yu, Rupak Kharel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Thanks to its irreplaceable superiority in providing seamless coverage, satellite communication is expected to play an important role in supporting ubiquitous and continuous connectivity services for 6G wireless networks. With the pre-compensation of timing and frequency offset, we propose a novel random access (RA) preamble detection method for the high-dynamic non-terrestrial networks (NTN). Unlike the conventional threshold-based methods, the proposed method leverages a joint clustering algorithm to accurately capture the timing position corresponding to the first arrival path without noise variance estimation. Simulation results validate the effectiveness of the proposed method in a typical satellite non line-of-sight (NLOS) scenario, and indicate that our method can achieve a notable performance enhancement in terms of the error detection probability (EDP) and the timing mean square error (MSE), in comparison to the exiting methods.

Original languageEnglish
Title of host publication2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665423908
DOIs
Publication statusPublished - 2021
Event2021 IEEE Globecom Workshops, GC Wkshps 2021 - Madrid, Spain
Duration: 2021 Dec 72021 Dec 11

Publication series

Name2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

Conference

Conference2021 IEEE Globecom Workshops, GC Wkshps 2021
Country/TerritorySpain
CityMadrid
Period21/12/721/12/11

Keywords

  • 6G
  • non-terrestrial networks
  • preamble detection
  • random access
  • threshold-free

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Software
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications

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