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Related Experiment Video

Updated: Jul 15, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

An Adaptive Bandwidth Management Algorithm for Next-Generation Vehicular 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)

|September 28, 2023

Summary

This summary is machine-generated.

Next-generation vehicular networks face spectrum congestion due to video services. This study integrates 6G technologies (terahertz and visible light communication) with 5G to enhance bandwidth management for seamless in-vehicle video streaming.

Keywords:

6G bandwidth allocation data mining electric vehicle machine learning optimization video service

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Published on: June 2, 2020

Area of Science:

Wireless communication
Vehicular networks
Network engineering

Background:

Increasing popularity of in-vehicle video services leads to wireless spectrum congestion.
Existing vehicular networks lack effective bandwidth management for future demands.
Gap in research on applying advanced communication technologies to vehicular video services.

Purpose of the Study:

To address bandwidth competition and congestion in vehicular networks.
To ensure uninterrupted real-time video playback for vehicle users.
To explore the integration of 6G technologies for enhanced vehicular communication.

Main Methods:

Integration of 6G terahertz (THz) and visible light communication (VLC) with 5G base stations (millimeter-wave and sub-6 GHz).
Development of effective bandwidth management algorithms.
Simulation-based validation of the proposed network strategy.

Main Results:

The proposed strategy effectively manages bandwidth competition among vehicle users.
Efficient utilization of bandwidth from less congested base stations is achieved.
Optimized bandwidth allocation for diverse video applications and improved user-experienced video quality.

Conclusions:

The seamless integration of 6G and 5G technologies provides a viable solution for vehicular network challenges.
The proposed methodology enhances bandwidth efficiency and video quality in next-generation vehicular networks.
This approach ensures stable scalability and high transmission rates for in-vehicle video services.