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 increas...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Intelligent Transportation Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11054065/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849728093776773120 |
|---|---|
| author | Chaeriah Bin Ali Wael El Hadj Dogheche Nasrullah Armi Agus Subekti Iyad Dayoub |
| author_facet | Chaeriah Bin Ali Wael El Hadj Dogheche Nasrullah Armi Agus Subekti Iyad Dayoub |
| author_sort | Chaeriah Bin Ali Wael |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8b7bf631e43542158c36ca9b3dd25329 |
| institution | DOAJ |
| issn | 2687-7813 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Intelligent Transportation Systems |
| spelling | doaj-art-8b7bf631e43542158c36ca9b3dd253292025-08-20T03:09:38ZengIEEEIEEE Open Journal of Intelligent Transportation Systems2687-78132025-01-01696799410.1109/OJITS.2025.358402411054065Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A SurveyChaeriah Bin Ali Wael0https://orcid.org/0000-0002-9914-6530El Hadj Dogheche1Nasrullah Armi2Agus Subekti3Iyad Dayoub4https://orcid.org/0000-0003-0910-4722Institut d’électronique de microélectronique et de nanotechnologie, UMR CNRS 8520, Université Polytechnique Hauts-de-France, Valenciennes, FranceInstitut d’électronique de microélectronique et de nanotechnologie, UMR CNRS 8520, Université Polytechnique Hauts-de-France, Valenciennes, FranceResearch Center for Telecommunication, National Research and Innovation Agency (BRIN), Bandung, IndonesiaResearch Center for Telecommunication, National Research and Innovation Agency (BRIN), Bandung, IndonesiaInstitut d’électronique de microélectronique et de nanotechnologie, UMR CNRS 8520, Université Polytechnique Hauts-de-France, Valenciennes, FranceCellular 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.https://ieeexplore.ieee.org/document/11054065/3GPP features5G NR-V2Xgame theoryoptimization techniquereinforcement learning (RL)resource allocation |
| spellingShingle | Chaeriah Bin Ali Wael El Hadj Dogheche Nasrullah Armi Agus Subekti Iyad Dayoub Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey IEEE Open Journal of Intelligent Transportation Systems 3GPP features 5G NR-V2X game theory optimization technique reinforcement learning (RL) resource allocation |
| title | Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey |
| title_full | Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey |
| title_fullStr | Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey |
| title_full_unstemmed | Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey |
| title_short | Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey |
| title_sort | leveraging 3gpp features and optimization techniques for 5g nr v2x resource allocation a survey |
| topic | 3GPP features 5G NR-V2X game theory optimization technique reinforcement learning (RL) resource allocation |
| url | https://ieeexplore.ieee.org/document/11054065/ |
| work_keys_str_mv | AT chaeriahbinaliwael leveraging3gppfeaturesandoptimizationtechniquesfor5gnrv2xresourceallocationasurvey AT elhadjdogheche leveraging3gppfeaturesandoptimizationtechniquesfor5gnrv2xresourceallocationasurvey AT nasrullaharmi leveraging3gppfeaturesandoptimizationtechniquesfor5gnrv2xresourceallocationasurvey AT agussubekti leveraging3gppfeaturesandoptimizationtechniquesfor5gnrv2xresourceallocationasurvey AT iyaddayoub leveraging3gppfeaturesandoptimizationtechniquesfor5gnrv2xresourceallocationasurvey |