Knowledge-defined intent-based network autonomy

Jingyu WANG; Cheng ZHOU; Lei ZHANG; Cong LIU; Zirui ZHUANG; Hongwei YANG; Danyang CHEN; Yanhong ZHU; Lu LU; Jianxin LIAO

doi:10.11959/j.issn.1000-0801.2021220

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Knowledge-defined intent-based network autonomy

Topic: 6G | 更新时间：2024-06-05

- Knowledge-defined intent-based network autonomy
- Telecommunications Science Vol. 37, Issue 9, Pages: 1-13(2021)
- 作者机构：
  
  1. 北京邮电大学网络与交换技术国家重点实验室，北京100876
  2. 中国移动通信有限公司研究院，北京100053
  3. 中国联合网络通信集团有限公司，北京 100033
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021220
  CLC： TP393
- Published Online：2021-09，
  
  Published：20 September 2021
- 稿件说明：
移动端阅览
Jingyu WANG, Cheng ZHOU, Lei ZHANG, et al. Knowledge-defined intent-based network autonomy[J]. Telecommunications science, 2021, 37(9): 1-13.
DOI：

Jingyu WANG, Cheng ZHOU, Lei ZHANG, et al. Knowledge-defined intent-based network autonomy[J]. Telecommunications science, 2021, 37(9): 1-13. DOI： 10.11959/j.issn.1000-0801.2021220.

摘要

通信网络的复杂性决定了意图网络自治是无法一蹴而就的，关键在于以全局视角，打通多个网络管控问题域，将网络规律、机理、策略凝练为知识，构建全场景资源调配的知识空间，最终实现意图网络的泛在智能化。围绕6G意图网络，将知识定义智能作为关键使能技术，以提高意图网络的感知和决策闭环能力，构建自学习、自运维的意图网络。实现完全的6G网络自治是一个长期目标，需要分步实现，从提供重复执行操作的替代方案，到执行网络环境和网络设备状态的感知和监控，根据多种因素和策略做出决策，以及有效感知最终用户体验，直到最后网络能够感知运营商和用户的意图，自我优化和演进。

Abstract

The complexity of the network determines that the autonomy of the intention network can’t be achieved at one go.The key is to break through multiple problem domains of network management and control from a global perspective

to summarize the network rules

mechanisms and strategies into knowledge

to build the knowledge space of resource allocation in the whole scene

and finally to realize the ubiquitous intelligence of the intention network.Focusing on 6G intention network

which takes knowledge-defined intelligence as the key enabling technology to improve the perception and decision-making closed-loop ability of intention network

and constructs a self-learning

self-operating and self-maintaining intention network.Achieving full autonomy in 6G networks is a long-term goal

which requires step by step evolvements

from providing repeat operation alternatives

to performing perception and monitoring on network environment and equipment states

to making decisions according to a number of factors and strategies

to effectively sensing end-user experience

and finally to a fully autonomous intelligent network that senses the intention of operators and users

self-optimizes and self-evolves.

关键词

Keywords

references

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