3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation.

3GPP NR V2X Vehicular communications autonomous resource selection network simulations

Journal

IEEE access : practical innovations, open solutions
ISSN: 2169-3536
Titre abrégé: IEEE Access
Pays: United States
ID NLM: 101639462

Informations de publication

Date de publication:
Jun 2021
Historique:
medline: 1 6 2021
pubmed: 1 6 2021
entrez: 18 7 2023
Statut: ppublish

Résumé

Following the successful use of sidelink in Long Term Evolution (LTE) for Proximity Services (ProSe) and Cellular Vehicular-to-everything (C-V2X), the 3rd Generation Partnership Project (3GPP) is working towards its evolution in New Radio (NR) systems in the context of the so-called NR V2X. This new technology is expected to complement LTE C-V2X for advanced services by offering low latency, high reliability, and high throughput V2X services for advanced driving use cases. To do this, NR V2X is equipped with new features, such as the support for groupcast and unicast communication, a novel feedback channel, and a new control channel design. In this paper, we provide a complete history of sidelink technology in 3GPP followed by a detailed overview of NR V2X technology, with special emphasis on Mode 2 for out of coverage operation and autonomous resource selection. Furthermore, this paper presents a system-level NR V2X standard-compliant simulator, as an extension of the popular and open-source NR network simulator 5G-LENA, based on ns-3. In particular, we focus on the design, implementation, and evaluation of the sensing-based resource selection in NR V2X Mode 2, in a highway scenario. Through several and extensive simulation campaigns, we test the impact of different NR V2X parameters, such as the numerology, the resource selection window size, the number of retransmissions, the maximum number of resources per reservation, and the probability of keeping the same resources during reselection, in a sensing-based resource selection. Finally, we provide a comparison campaign that shows the gains attained by the sensing-based resource selection, proposed during 3GPP Release 16, over the random selection strategy, considered in 3GPP Release 17 for power saving purposes.

Identifiants

pubmed: 37461405
doi: 10.1109/access.2021.3090855
pmc: PMC10350958
mid: NIHMS1872979
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Intramural NIST DOC
ID : 9999-NIST
Pays : United States

Auteurs

Zoraze Ali (Z)

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), 08860 Castelldefels, Spain.

Sandra Lagén (S)

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), 08860 Castelldefels, Spain.

Lorenza Giupponi (L)

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), 08860 Castelldefels, Spain.

Richard Rouil (R)

National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.

Classifications MeSH