mlsanityData to 7 Oct 2026

A Tutorial on 5G NR V2X Communications

arXiv 2102.04538 ↗First posted 8 Feb 2021eess.SP cs.IT cs.NIcited by 29

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Abstract (arXiv)

The Third Generation Partnership Project (3GPP) has recently published its Release 16 that includes the first Vehicle to-Everything (V2X) standard based on the 5G New Radio (NR) air interface. 5G NR V2X introduces advanced functionalities on top of the 5G NR air interface to support connected and automated driving use cases with stringent requirements. This paper presents an in-depth tutorial of the 3GPP Release 16 5G NR V2X standard for V2X communications, with a particular focus on the sidelink, since it is the most significant part of 5G NR V2X. The main part of the paper is an in-depth treatment of the key aspects of 5G NR V2X: the physical layer, the resource allocation, the quality of service management, the enhancements introduced to the Uu interface and the mobility management for V2N (Vehicle to Network) communications, as well as the co-existence mechanisms between 5G NR V2X and LTE V2X. We also review the use cases, the system architecture, and describe the evaluation methodology and simulation assumptions for 5G NR V2X. Finally, we provide an outlook on possible 5G NR V2X enhancements, including those identified within Release 17.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Feb 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 3; 2023: 5; 2024: 10; 2025: 6; 2026: 4.

29 papers.

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  1. 2024Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communicationscited by 18
  2. 2024Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networkscited by 12
  3. 2022A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networkscited by 11
  4. 2024Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learningcited by 11
  5. 2022Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITScited by 7
  6. 2024Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networkscited by 5
  7. 2022Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networkscited by 3
  8. 2023Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Drivingcited by 3
  9. 2024Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communicationscited by 3
  10. 2025Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocationcited by 3
  11. 2024ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTEcited by 2
  12. 2025JigsawComm: Joint Semantic Feature Encoding and Transmission for Communication-Efficient Cooperative Perceptioncited by 2
17 more
  1. 2023Energy-Efficient Cellular-Connected UAV Swarm Control Optimizationcited by 1
  2. 2024Unified End-to-End V2X Cooperative Autonomous Drivingcited by 1
  3. 2024Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Predictioncited by 1
  4. 2024Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Drivingcited by 1
  5. 2021Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communicationscited by 0
  6. 2023On the Limit Performance of Floating Gossipcited by 0
  7. 2023A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioningcited by 0
  8. 2023From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communicationcited by 0
  9. 2024Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspectivecited by 0
  10. 2025Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networkscited by 0
  11. 2025Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approachcited by 0
  12. 2025A Survey on Deep Multi-Task Learning in Connected Autonomous Vehiclescited by 0
  13. 2025RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Predictioncited by 0
  14. 2026Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoVcited by 0
  15. 2026An Integrated Roadside Sensing and Communication Framework for Vulnerable Road User Safety at Signalized Intersectionscited by 0
  16. 2026LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Designcited by 0
  17. 2026NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessmentcited by 0