Stochastic Geometric Performance Analysis for NR Sidelink Multi-Hop Relay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sidelink relay enhancement, as a promising item in 3rd Generation Partnership Project (3GPP) R18, can support further vertical domain expansion of New Radio (NR). However, existing research on performance analysis of NR sidelink relay, either considered simple cases of single lane model or partially (if not totally) ignored the important factors of NR sidelink, such as resource allocation, power control, and coexistence with the cellular network. In this paper, a general stochastic geometry theoretical framework for performance analysis is developed to evaluate the success probability, time cost, and transmission distance of NR sidelink multi-hop relay in a typical unicast scenario, closely following the 3GPP specifications in both physical layer characteristics and parameters. As verified by extensive experiments, the considered performance metrics under different parameter settings can be accurately described through this theoretical framework, which holds great prospects for NR sidelink network design and deployment.

Original languageEnglish
Title of host publicationICC 2023 - IEEE International Conference on Communications
Subtitle of host publicationSustainable Communications for Renaissance
EditorsMichele Zorzi, Meixia Tao, Walid Saad
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5390-5395
Number of pages6
ISBN (Electronic)9781538674628
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy
Duration: 28 May 20231 Jun 2023

Publication series

NameIEEE International Conference on Communications
Volume2023-May
ISSN (Print)1550-3607

Conference

Conference2023 IEEE International Conference on Communications, ICC 2023
Country/TerritoryItaly
CityRome
Period28/05/231/06/23

Keywords

  • NR sidelink multi-hop relay
  • performance analysis
  • physical layer characteristics
  • stochastic geometry

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