在5G网络中基于SDN的拥堵控制和带宽分配方案
Dong Yang1, Wei-Tek Tsai1,2
1School of Computer Science and Engineering, Beihang University, Beijing 100191, China.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
一个新的拥堵控制算法,瓶路由反 (BRF),提高了5G网络的性能. BRF确保了更公平的带宽分配和更快的数据流在高速,高数据包损失的环境,如车辆互联网 (IoV) 的数据流的趋同.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 电信 电信服务 电信服务 电信服务
背景情况:
- 5G网络比4G提供了显著的速度改进,但面临着高数据包丢失率的挑战,特别是在动态环境中,如汽车互联网 (IoV).
- 传统的拥堵控制算法 (例如,CUBIC,BBR) 在这些苛刻的网络条件下难以平衡性能和公平性,从而导致缓慢的融合时间.
研究的目的:
- 提出和评估一种新的拥堵控制算法,瓶路由反 (BRF),专为高带宽,高包丢失的5G网络环境而设计.
- 与现有算法相比,提高流程公平性和加快融合率.
主要方法:
- 开发了一个使用软件定义网络 (SDN) 和OpenFlow协议收集网络带宽信息的瓶路由反 (BRF) 算法.
- 实现了BRF,通过在ACK包选项中嵌入瓶带宽数据来控制发送者数据传输速率.
- 设计了一个与多个拥堵控制算法兼容的带宽分配方案,以确保公平性和快速融合.
主要成果:
- 使用Mininet进行的实验评估表明,BRF实现了更高的带宽利用率.
- BRF显著缩短了数据流的融合时间.
- 拟议的算法确保在竞争的流量之间更公平地分配带宽.
结论:
- 瓶路由反 (BRF) 是5G蜂网络的有效网络内拥堵控制策略.
- 在带宽利用,融合速度和公平性方面,BRF优于传统算法,特别是在具有挑战性的IoV场景中.
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