A Hybrid Power-Rate Management Strategy in Distributed Congestion Control for 5G-NR-V2X Sidelink Communications.

Area of Science:

• Wireless Communication
• Network Engineering
• Intelligent Transportation Systems

Background:

• The rapid expansion of 5G technology necessitates advanced solutions for vehicle-to-everything (V2X) communications.
• Congestion control is critical for maintaining optimal network performance in 5G-NR-V2X sidelink.

Purpose of the Study:

• To propose a novel hybrid power and rate control management strategy for distributed congestion control (HPR-DCC).
• To enhance network performance and prevent congestion in 5G-NR-V2X sidelink communications.
• To optimize the quality and reliability of V2X applications.

Main Methods:

• Development of the HPR-DCC algorithm based on a defined system model and methodology.
• Investigation of the algorithm's stability and convergence characteristics.
• Simulation analysis to evaluate performance against conventional methods.

Main Results:

• The HPR-DCC strategy effectively limits the maximum Channel Busy Ratio (CBR) to 64% under high congestion.
• A 6% performance improvement was observed compared to traditional distributed congestion control (DCC) approaches.
• The signal reception range increased by 20 m, maintaining a 90% Packet Reception Ratio (PRR).

Conclusions:

• The proposed HPR-DCC strategy offers a fine-grained and adaptive approach to congestion management in 5G-NR-V2X sidelink.
• This method significantly improves network performance, reliability, and reception range for V2X communications.
• HPR-DCC shows strong potential for advancing intelligent transportation systems.