Spatio-temporal Dynamics of Cellular V2X Communication in Dense Vehicular Networks
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Abstract (arXiv)
Cellular Vehicle-to-everything (C-V2X) communication is a major V2X solution proposed and developed by the 3rd Generation Partnership Project (3GPP). Our previous work has studied scalability aspects of C-V2X and demonstrated its potential for accommodating large numbers of vehicles in dense vehicular scenarios. However, existing studies in the scientific literature mostly have a network-level approach to the problem and do not assess the temporal and spatial dynamics of C-V2X networks in heavy network load situations. In this work we shed light on the spatio-temporal characteristics of these networks and investigate the effectiveness of the congestion control algorithm in dense vehicular ad-hoc networks (VANETs) in terms of settling time, stability, and reliability to be employed for the purpose of safety-critical vehicular applications, where latency plays a major role.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jun 2019.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
8 papers.
- 2021Social Coordination and Altruism in Autonomous Drivingcited by 28
- 2022Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Trafficcited by 15
- 2021Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Criticcited by 11
- 2022Prediction-aware and Reinforcement Learning based Altruistic Cooperative Drivingcited by 6
- 2021Towards Learning Generalizable Driving Policies from Restricted Latent Representationscited by 4
- 2021Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networkscited by 2
- 2022Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed trafficcited by 1
- 2026NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessmentcited by 0
- 2026NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment17 Sep 2026
- 2022Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic22 Nov 2022
- 2022Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving19 Nov 2022
- 2022Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic2 Feb 2022
- 2021Towards Learning Generalizable Driving Policies from Restricted Latent Representations5 Nov 2021
- 2021Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic12 Jul 2021
- 2021Social Coordination and Altruism in Autonomous Driving1 Jul 2021
- 2021Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks13 Mar 2021