Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey

Cellular Vehicle-to-everything (C-V2X) communication is critical for Intelligent Transportation Systems (ITS), facilitating information exchange among road users and infrastructure. Since its first introduction in rel-15 by 3GPP, 5G NR-V2X features have continued to evolve, aiming to support increasingly advanced V2X services. Addressing diverse service requirements, spectrum scarcity, dynamic vehicular environments, and radio interference necessitates efficient resource allocation strategies for the 5G NR-V2X system. However, dealing with resource allocation problems involving various conflicting objectives and constraints while accomplishing the Quality of Services (QoS) requirements of the V2X system remains a challenging issue. In this direction, this survey examines state-of-the-art resource allocation strategies for 5G NR-V2X, focusing on 3GPP features associated with V2X communication and their implications, along with optimization techniques employed in designing resource allocation strategies. Specifically, we present the benefits and challenges of each 3GPP feature and optimization technique, and their application to communication and computing resource allocation problems. Finally, we discuss issues tied to 3GPP features and optimization techniques, then highlight future research opportunities for efficient 5G NR-V2X resource allocation.

Authors

Institutions

Publication Details

Journal
IEEE Open Journal of Intelligent Transportation Systems
Published
2025-01-01
DOI
https://doi.org/10.1109/ojits.2025.3584024
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey

Nasrullah Armi, Chaeriah Bin Ali Wael, El Hadj Dogheche, Iyad Dayoub et al.
3 citations
IEEE Open Journal of Intelligent Transportation Systems
Advanced MIMO Systems Optimization
2.19
article

Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey

Nasrullah Armi, Chaeriah Bin Ali Wael, El Hadj Dogheche, Iyad Dayoub, Agus Subekti
article en
3 citations

Abstract

Cellular Vehicle-to-everything (C-V2X) communication is critical for Intelligent Transportation Systems (ITS), facilitating information exchange among road users and infrastructure. Since its first introduction in rel-15 by 3GPP, 5G NR-V2X features have continued to evolve, aiming to support increasingly advanced V2X services. Addressing diverse service requirements, spectrum scarcity, dynamic vehicular environments, and radio interference necessitates efficient resource allocation strategies for the 5G NR-V2X system. However, dealing with resource allocation problems involving various conflicting objectives and constraints while accomplishing the Quality of Services (QoS) requirements of the V2X system remains a challenging issue. In this direction, this survey examines state-of-the-art resource allocation strategies for 5G NR-V2X, focusing on 3GPP features associated with V2X communication and their implications, along with optimization techniques employed in designing resource allocation strategies. Specifically, we present the benefits and challenges of each 3GPP feature and optimization technique, and their application to communication and computing resource allocation problems. Finally, we discuss issues tied to 3GPP features and optimization techniques, then highlight future research opportunities for efficient 5G NR-V2X resource allocation.

IEEE Open Journal of Intelligent Transportation SystemsVol. 6
Centre National de la Recherche Scientifique (FR), Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR), National Nuclear Energy Agency of Indonesia (ID), National Research and Innovation Agency (ID), Université Polytechnique Hauts-de-France (FR)
Openalex Percentile: Top 12%
Advanced MIMO Systems Optimization
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey — Nasrullah Armi, Chaeriah Bin Ali Wael, et al. · IEEE Open Journal of Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS