Proactive Resource Allocation in C-V2X for CACC-based Platoon Driving Service

Taesik Nam, Seungjae Lee, Nathan Jeong, Han Shin Jo, Jong Gwan Yook

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

Abstract

Vehicle-to-everything (V2X) technology can facilitate platoon driving, which can improve traffic efficiency in cooperative-intelligent transportation systems (C-ITS). In platoon driving, vehicles share their driving information with each other, including their location and speed. However, in congested traffic situations, there is a higher likelihood of packet collision, as the vehicles in the same platoon are using the same resources. This paper analyzes the communication QoS degradation factors that occur when operating the cooperative adaptive cruise control (CACC)-based platoon driving service. In order to improve the reliability characteristics of the dynamic information exchange vehicle-to-vehicle (V2V) link for the CACC-based platoon driving service, this paper proposed the proactive V2X PC5 resource allocation algorithm using the extended 1-stage SCI. This paper finally showed the improved communication QoS performance of the system in which the CACC-based platoon driving service is operated through the proposed resource allocation algorithm.

Original languageEnglish
Title of host publication2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331517786
DOIs
Publication statusPublished - 2024
Event100th IEEE Vehicular Technology Conference, VTC 2024-Fall - Washington, United States
Duration: 2024 Oct 72024 Oct 10

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference100th IEEE Vehicular Technology Conference, VTC 2024-Fall
Country/TerritoryUnited States
CityWashington
Period24/10/724/10/10

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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