一个适应性带宽管理算法用于下一代车辆网络
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
概括
下一代车辆网络由于视频服务而面临频谱拥堵. 这项研究将6G技术 (太赫兹和可见光通信) 与5G集成,以增强带宽管理,实现无车载视频流.
科学领域:
- 无线通信是一种无线通信.
- 车辆网络 车辆网络
- 网络工程 网络工程
背景情况:
- 车载视频服务越来越受欢迎,导致无线频谱拥堵.
- 现有的车辆网络缺乏有效的带宽管理,以满足未来的需求.
- 关于将先进的通信技术应用于汽车视频服务的研究缺口.
研究的目的:
- 解决车辆网络中的带宽竞争和拥堵问题.
- 确保车辆用户不间断地实时播放视频.
- 探索6G技术的整合,以加强车辆通信.
主要方法:
- 将6G太赫兹 (THz) 和可见光通信 (VLC) 与5G基站 (毫米波和6GHz以下) 的整合.
- 开发有效的带宽管理算法.
- 基于模拟的拟议网络战略的验证.
主要成果:
- 拟议的战略有效地管理了车辆用户之间的带宽竞争.
- 从较少拥挤的基站实现了带宽的高效利用.
- 为各种视频应用程序优化带宽分配,并改善用户体验的视频质量.
结论:
- 6G和5G技术的无集成为车辆网络挑战提供了可行的解决方案.
- 拟议的方法提高了下一代车辆网络中的带宽效率和视频质量.
- 这种方法确保了车载视频服务的稳定可扩展性和高传输速率.
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