用SDN和启发式算法进行高效的网络切片,用于5G/B5G网络中低延迟服务的5G/B5G网络.
Robert Botez1, Andres-Gabriel Pasca1, Alin-Tudor Sferle1
1Communications Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究介绍了用于5G回程网络切片的增强A*算法,优化了低延迟服务的路径. 这种新的方法显著减少了处理时间,并确保了超可靠的低延迟通信 (URLLC).
科学领域:
- 计算机科学 计算机科学
- 电信工程 电信工程 电信工程
背景情况:
- 5G回程网络需要高效的解决方案来实现超可靠的低延迟通信 (URLLC).
- 现有的路由算法可能无法充分解决关键服务的严格延迟要求.
研究的目的:
- 开发和评估5G回程网络的新型网络切片方法.
- 为了提高路径计算效率和低延迟服务的实时适应性.
主要方法:
- 开发了一个修改后的A*算法,将服务质量 (QoS) 参数纳入一个复合度量.
- 该算法被集成到软件定义网络 (SDN) 路径计算元件 (PCE) 中.
- 使用实时拥堵监控和预计算的启发式函数.
主要成果:
- 与迪克斯特拉的算法相比,修改后的A*算法显著减少了处理时间 (数量级),特别是在复杂的网络中.
- 该算法成功地实时调整了路径,以保持低延迟,防止超越数据包延迟值.
- 端到端测量验证了基于延迟要求的流量差异化算法的有效性.
结论:
- 拟议的修改A*算法为5G回程中的网络切片提供了高效和有效的解决方案.
- 这种方法可以通过优化路径计算和实时管理网络拥堵来实现URLLC.
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