Supporting Differentiated Streaming Services in Heterogeneous Vehicle-to-Everything Networks

Area of Science:

• Electrical Engineering
• Computer Science
• Telecommunications

Background:

• Electric vehicles (EVs) are integrating advanced driver-assistance systems (ADAS).
• Passengers in EVs require high bandwidth for multimedia applications, especially during peak traffic.
• Existing vehicle-to-everything (V2X) networks face challenges in meeting these demands.

Purpose of the Study:

• To develop a bandwidth-management algorithm for differentiated streaming services in heterogeneous V2X networks.
• To ensure high-quality multimedia experiences for EV passengers.
• To optimize network resource allocation for diverse V2X applications.

Main Methods:

• Leveraging 6G cellular base stations and Cell-Free (CF) Massive Multi-Input Multi-Output (mMIMO) Wi-Fi 7 access points.
• Integrating Li-Fi technology for enhanced vehicle-to-vehicle (V2V) communication bandwidth.
• Implementing application prioritization and a pre-downloading mechanism for non-real-time data.

Main Results:

• Demonstrated effectiveness in meeting EV users' bandwidth needs for multimedia streaming.
• Achieved an average bandwidth increase of 47% during peak demand periods.
• Significantly improved overall bandwidth utilization across the V2X network.

Conclusions:

• The proposed algorithm effectively manages bandwidth for differentiated services in V2X networks.
• The integration of 6G, Wi-Fi 7, and Li-Fi enhances V2X connectivity for EVs.
• Prioritization and pre-downloading mechanisms ensure reliable service delivery for critical and non-critical applications.