Demand- and Priority-Aware Adaptive Congestion Control for Heterogeneous V2X Service Requirements

2026-03-01

AI Summary

Existing V2X congestion control mechanisms primarily focus on maintaining channel load stability and ensuring vehicle-level fairness, yet they struggle to accommodate heterogeneous, time-varying service demands with differentiated priorities. This work proposes an adaptive congestion control approach that explicitly integrates service requirements and priority levels into the congestion control process—an integration not previously achieved in the literature. By leveraging a standards-compliant adaptive algorithm, the method enables dynamic resource allocation that simultaneously preserves channel stability and significantly improves satisfaction rates for diverse V2X services. Furthermore, the design maintains backward compatibility and supports seamless evolution toward future V2X communication standards.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Mixed Discrete/Continuous Search
• Application Domains: Mobility, Driving & Flight

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Responsible Web: Algorithmic accountability and transparency on the web

Abstract

Vehicle-to-Everything (V2X) communications enable the exchange of information among vehicles to improve road safety and traffic efficiency. As V2X deployments progress, vehicles are expected to support an increasing number of V2X services, often characterized by different priorities and data transmission requirements. However, existing V2X congestion control mechanisms primarily focus on maintaining channel load stability and fairness at the vehicle level, typically assuming homogeneous traffic demands. This paper proposes a demand- and priority-aware adaptive congestion control technique that explicitly accounts for heterogeneous and time-varying V2X service requirements. The results demonstrate that the proposed technique improves the satisfaction of V2X service demands while maintaining stable channel operation. The proposed technique aligns with current V2X standards, preserving backward compatibility while providing enhancements consistent with ongoing standardization activities.

Problem

• V2X
• congestion control
• heterogeneous services
• service priority
• demand awareness

Innovation

• adaptive congestion control
• heterogeneous V2X services
• priority-aware
• demand-aware
• V2X communications