Frame Structure and Protocol Design for Sensing-Assisted NR-V2X Communications

Yunxin LI, Fan LIU*, Zhen DU, Weijie YUAN, Qingjiang SHI, Christos MASOUROS

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

2 Citations (Scopus)

Abstract

The emergence of the fifth-generation (5G) New Radio (NR) technology has provided unprecedented opportunities for vehicle-to-everything (V2X) networks, enabling enhanced quality of services. However, high-mobility V2X networks require frequent handovers and acquiring accurate channel state information (CSI) necessitates the utilization of pilot signals, leading to increased overhead and reduced communication throughput. To address this challenge, integrated sensing and communications (ISAC) techniques have been employed at the base station (gNB) within vehicle-to-infrastructure (V2I) networks, aiming to minimize overhead and improve spectral efficiency. In this study, we propose novel frame structures that incorporate ISAC signals for three crucial stages in the NR-V2X system: initial access, connected mode, and beam failure and recovery. These new frame structures employ 75%; fewer pilots and reduce reference signals by 43.24%, capitalizing on the sensing capability of ISAC signals. Through extensive link-level simulations, we demonstrate that our proposed approach enables faster beam establishment during initial access, higher throughput and more precise beam tracking in connected mode with reduced overhead, and expedited detection and recovery from beam failures. Furthermore, the numerical results obtained from our simulations showcase enhanced spectrum efficiency, improved communication performance and minimal overhead, validating the effectiveness of the proposed ISAC-based techniques in NR V2I networks.
Original languageEnglish
Pages (from-to)11045-11060
Number of pages16
JournalIEEE Transactions on Mobile Computing
Volume23
Issue number12
Early online date16 Apr 2024
DOIs
Publication statusPublished - Dec 2024
Externally publishedYes

Bibliographical note

An earlier version of this paper was presented at the IEEE International Conference on Communications (ICC), Italy, May 2023 [DOI: 10.1109/ICCWorkshops57953.2023.10283528.]

Publisher Copyright: © 2002-2012 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 62101234, Grant 62331023 and under 62301264, in part by Guangdong Province “Pearl River” Young Talent Support Program under Grant 2021QN02X128, in part by Shenzhen Science and Technology Program under Grant RCBS20210609103227018 and Grant 20220815100308002, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20230416, and in part by the major key project of Peng Cheng Laboratory under Grant PCL2023AS1-2.

Keywords

  • 5G mobile communication
  • 5G NR
  • Array signal processing
  • frame structure
  • Gaussian processes
  • ISAC
  • Millimeter wave communication
  • OFDM
  • overhead analysis
  • Sensors
  • V2I
  • Vehicle-to-everything

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  • ISAC-Enabled V2I Networks Based on 5G NR: How Much Can the Overhead Be Reduced?

    LI, Y., LIU, F., DU, Z., YUAN, W. & MASOUROS, C., 2023, 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023. IEEE, p. 691-696 6 p.

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    8 Citations (Scopus)

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