在分布式拥堵控制中的混合动力功率管理策略,用于5G-NR-V2X侧链通信的分布式拥堵控制
Jiawei Tian1, SangHoon An1, Azharul Islam1
1Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究引入了用于分布式拥堵控制 (HPR-DCC) 的混合功率和速率控制,用于5G-NR-V2X侧链通信. HPR-DCC策略提高了网络性能和可靠性,改善了V2X应用程序.
科学领域:
- 无线通信无线通信
- 网络工程 网络工程
- 智能运输系统 智能运输系统
背景情况:
- 5G技术的快速扩张需要先进的解决方案,用于车辆到一切 (V2X) 通信.
- 拥堵控制对于在5G-NR-V2X侧链中保持最佳网络性能至关重要.
研究的目的:
- 为分布式拥堵控制 (HPR-DCC) 提出一种新的混合动力和速率控制管理策略.
- 为了提高网络性能,并防止5G-NR-V2X侧链通信的拥堵.
- 优化V2X应用程序的质量和可靠性.
主要方法:
- 基于定义的系统模型和方法的HPR-DCC算法的开发.
- 研究算法的稳定性和趋同特性.
- 模拟分析以评估与传统方法相比的性能.
主要成果:
- 在高拥堵的情况下,HPR-DCC战略有效地将最大通道占用率 (CBR) 限制在64%.
- 与传统的分布式拥堵控制 (DCC) 方法相比,观察到6%的性能改善.
- 信号接收范围增加了20米,保持了90%的数据包接收比率 (PRR).
结论:
- 拟议的HPR-DCC战略为5G-NR-V2X侧链中拥堵管理提供了一种细粒度和适应性的方法.
- 这种方法显著提高了V2X通信的网络性能,可靠性和接收范围.
- HPR-DCC显示了推进智能运输系统的巨大潜力.
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