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Related Experiment Video

Updated: Jun 17, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Supporting Differentiated Streaming Services in Heterogeneous Vehicle-to-Everything Networks.

Chenn-Jung Huang1, Kai-Wen Hu2, Hao-Wen Cheng1

  • 1Department of Computer Science & Information Engineering, National Dong Hwa University, Shoufeng, Hualien County 974301, Taiwan.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
Summary

This study introduces a bandwidth management algorithm for electric vehicles (EVs) to enhance multimedia streaming. The new algorithm significantly boosts bandwidth by 47% during peak demand in vehicle-to-everything (V2X) networks.

Keywords:
V2Xbandwidth allocationelectric vehicleintelligence controlmultimedia application

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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.