Multiple Access in Cellular V2X: Performance Analysis in Highly Congested Vehicular Networks
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Abstract (arXiv)
Vehicle-to-everything (V2X) communication enables vehicles, roadside vulnerable users, and infrastructure facilities to communicate in an ad-hoc fashion. Cellular V2X (C-V2X), which was introduced in the 3rd generation partnership project (3GPP) release 14 standard, has recently received significant attention due to its perceived ability to address the scalability and reliability requirements of vehicular safety applications. In this paper, we provide a comprehensive study of the resource allocation of the C-V2X multiple access mechanism for high-density vehicular networks, as it can strongly impact the key performance indicators such as latency and packet delivery rate. Phenomena that can affect the communication performance are investigated and a detailed analysis of the cases that can cause possible performance degradation or system limitations, is provided. The results indicate that a unified system configuration may be necessary for all vehicles, as it is mandated for IEEE 802.11p, in order to obtain the optimum performance. In the end, we show the inter-dependence of different parameters on the resource allocation procedure with the aid of our high fidelity simulator.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Sep 2018.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 1.
7 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
- 2023On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasurescited by 11
- 2021Towards Learning Generalizable Driving Policies from Restricted Latent Representationscited by 4
- 2022Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithmscited by 3
- 2022Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systemscited by 0
- 2023On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures22 Sep 2023
- 2022Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems24 Dec 2022
- 2022Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithms10 Aug 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