知识定义的意图网络策略生成技术
Intent-Based Network Policy Generation for Knowledge Definition
郭令奇 1张蕾 2杨红伟 3黄兵明 4王敬宇1
作者信息
- 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. 中国联合网络通信集团有限公司,北京 100033
- 3. 中国移动通信有限公司研究院,北京 100053
- 4. 中国联合网络通信有限公司研究院,北京 100048
- 折叠
摘要
为实现第6代移动通信系统自智网络全场景按需服务,网络的复杂性和业务的多样性极大地影响了现有方法的可靠性与鲁棒性.对此,提出一种全场景适用的意图转译与网络切片结合的框架.首先,考虑到业务的多样性,提出一种利用外部知识和深度学习对用户意图进行多步处理的意图转译方法;其次,提出一种基于混合整数线性规划的多路径资源调度算法,提高了网络资源的整体利用率,并能有效应对网络环境的变化.实验结果表明,所提框架能够实现基于多租户意图的业务资源准确划分,从而保障用户的使用体验,实现全场景按需服务.
Abstract
To achieve on-demand services in all scenarios in the sixth-generation mobile communication system,the complexity and diversity of networks and services greatly affect the reliability and robustness of existing methods.Therefore,a framework that combines intent translation and network slicing is proposed for universal application in all scenarios.Firstly,given the diversity of services,a multi-step intent translation method that utilizes external knowledge and deep learning is proposed.Secondly,a multi-path resource scheduling algorithm based on mixed integer linear programming is presented to improve the overall utilization of network resources and effectively respond to changes in network environments.Experimental results have demonstrated that the proposed framework can achieve accurate division of business resources based on multi-tenant intent to ensure user experience and provide on-demand services in all scenarios.
关键词
自智网络/按需服务/意图网络/网络切片Key words
the autonomous network/demand-aware service/intent-based network/network slicing引用本文复制引用
基金项目
国家自然科学基金项目(62071067)
教育部-中国移动科研基金项目(MCM20200202)
教育部-中国移动科研基金项目(MCM20180101)
出版年
2024
NETL
NSTL
万方数据