Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability

Area of Science:

• Telecommunications Engineering
• Intelligent Transportation Systems
• Wireless Communication Networks

Background:

• 5G-NR V2X is crucial for autonomous driving, enhancing safety and traffic management.
• Road-side units (RSUs) are key components for information exchange between vehicles and infrastructure.
• Current V2X systems face challenges in reliability and efficiency, especially in complex environments.

Purpose of the Study:

• To propose and validate a 5G-NR V2X communication system utilizing diverse RSUs for enhanced autonomous driving.
• To maximize network utilization and V2I/V2N link reliability.
• To minimize shadowing and maximize vehicle throughput in 5G-NR V2X environments.

Main Methods:

• Development of a 5G cellular network system with BS- and UE-type RSUs.
• Implementation of resource management techniques: dynamic ICIC, CS-CoMP, CRE, and 3D beamforming.
• Performance validation through simulations focusing on V2I/V2N link reliability and throughput.

Main Results:

• Significant reduction in shadowing area within the 5G-NR V2X environment.
• Improved V2I/V2N link reliability through decreased interference.
• Increased average vehicle throughput via collaborative access between BS- and UE-type RSUs.
• Enhanced overall network performance and service provision from multiple RSUs.

Conclusions:

• The proposed 5G-NR V2X system effectively enhances autonomous driving capabilities.
• Collaborative RSUs significantly improve network efficiency, reliability, and vehicle communication.
• The implemented resource management techniques are vital for achieving high-performance V2X services.