一个新的6G对话编排框架,用于提高自动驾驶汽车网络的性能和资源利用
Sonia Shahzadi1, Nauman Riaz Chaudhry1, Muddesar Iqbal2
1Department of Computer Science, University of Gujrat, Gujrat 50700, Pakistan.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
本研究介绍了人工智能对话编排的框架,用于在6G网络中自动化工业5.0服务. 它可以在现场进行虚拟基础设施服务编排,以提高智能自动驾驶汽车网络的自动化.
科学领域:
- 电信工程 电信工程 电信工程
- 人工智能的人工智能
- 网络自动化 网络自动化
背景情况:
- 6G视野需要工业5.0应用程序的自动化,需要具有AI能力的智能环境.
- 目前的系统缺乏用于复杂服务编排的无集成,这阻碍了6G的全部潜力.
研究的目的:
- 为人工智能对话编排提出一个创新的框架.
- 为了使虚拟基础设施服务在飞行中进行编排,以实现Anything-as-a-Service (XaaS) 自动化.
- 支持6G范式内的云和网络服务的自动化.
主要方法:
- 开发一种新的AI对话编排框架.
- 实时虚拟基础设施服务编排的实施.
- 集成用于网络自动化的认知和协作AI能力.
主要成果:
- 一个概念验证框架的演示与实验验证.
- 确认框架在自动化网络服务方面的技术能力.
- 在各种工业5.0场景中成功应用框架,包括自动驾驶汽车网络.
结论:
- 拟议的框架显著推进了6G对话编排.
- 云和网络服务的即时自动化是可以实现的,为工业5.0铺平了道路.
- 该框架支持用于全面6G自动化的背景感知个性化基础设施.
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