Optimizing Throughput for NR V2X Message Delivery with Congestion Control

Qiang Fu, Jiajia Liu, Jiadai Wang, Jun Kong

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

Abstract

In New Radio (NR) Vehicle-to-Everything (V2X), the congestion control is adopted to reduce channel occupancy and improve delivery performance. However, most available congestion control schemes choose to reduce the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. This paper investigates the delivery performance of Cooperative Awareness Messages (CAMs) in NR V2X and proposes an Optimizing Throughput Congestion Control (OTCC) scheme to ensure that more information is successfully exchanged between vehicles. The OTCC is able to analytically provide the optimal CAM generation frequency and maximize the effective throughput of CAM delivery with the help of a carefully derived stochastic geometry based theoretical framework. Extensive numerical results show that the OTCC scheme is highly beneficial for effective information exchange, especially in complex traffic environments with highly dense vehicles.

Original languageEnglish
Title of host publicationGLOBECOM 2024 - 2024 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3805-3810
Number of pages6
ISBN (Electronic)9798350351255
DOIs
StatePublished - 2024
Event2024 IEEE Global Communications Conference, GLOBECOM 2024 - Cape Town, South Africa
Duration: 8 Dec 202412 Dec 2024

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2024 IEEE Global Communications Conference, GLOBECOM 2024
Country/TerritorySouth Africa
CityCape Town
Period8/12/2412/12/24

Keywords

  • NR V2X
  • congestion control
  • cooperative awareness messages

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