Intra-Technology Enhancements for Multi-Service Multi-Priority Short-Range V2X Communication.

Area of Science:

• Intelligent Transportation Systems
• Wireless Communications
• Network Engineering

Background:

• Cooperative Intelligent Transportation Systems (C-ITSs) are crucial for autonomous driving, requiring advanced Radio Access Technologies for reliable, low-latency vehicular communications.
• Existing Vehicular-to-Everything (V2X) communication standards, like ITS-G5 and C-V2X PC5, use static parameters (Access Category, Resource Reservation Interval) that are inadequate for dynamic, multi-priority service demands.
• This static approach leads to unsatisfactory performance in diverse and rapidly changing vehicular network environments.

Purpose of the Study:

• To address the limitations of static parameter assignment in V2X communication for C-ITSs.
• To propose and evaluate intelligent Multi-Attribute Decision-Making algorithms for adaptive parameter control in ITS-G5 and C-V2X PC5.
• To enhance congestion management through a priority-aware rate-control mechanism integrated with adaptive parameter adjustments.

Main Methods:

• Development of intelligent Multi-Attribute Decision-Making algorithms for adaptive Access Category (AC) selection in ITS-G5.
• Implementation of adaptive Resource Reservation Interval (RRI) adjustment in C-V2X PC5 based on service priorities.
• Integration of these adaptive strategies with a priority-aware rate-control mechanism.
• Extensive simulations using the NS3 network simulator to evaluate performance.

Main Results:

• The proposed adaptive strategies significantly outperform standardized methods in V2X communication.
• Demonstrated improvements in one-way end-to-end latency, indicating faster data transmission.
• Achieved a higher Packet Reception Ratio (PRR), signifying more reliable data delivery.
• Overall enhanced communication reliability for diverse V2X services under dynamic conditions.

Conclusions:

• Intelligent, adaptive parameter management is essential for optimizing V2X communication in C-ITSs.
• The proposed Multi-Attribute Decision-Making algorithms offer a superior solution for dynamic priority-based traffic management in vehicular networks.
• These advancements contribute to safer and more efficient autonomous driving solutions.