Intent-Based Network Policy Generation for Knowledge Definition

被引：0
|
作者：
Guo, Lingqi [1 ]
Zhang, Lei [2 ]
Yang, Hongwei [3 ]
Huang, Bingming [4 ]
Wang, Jingyu [1 ]
机构：
[1] State Key Laboratory of Networking and Switehing Technology, Beijing University of Posts and Telecommunications, Beijing,100876, China
[2] China United Network Communications Group Company Limited, Beijing,100033, China
[3] China Mobile Research Institute, Beijing,100053, China
[4] China Unicom Research Institute, Beijing,100048, China
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2024年 / 47卷 / 03期
关键词：
D O I：
10.13190/j.jbupt.2023-105
中图分类号：
学科分类号：
摘要：
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. © 2024 Beijing University of Posts and Telecommunications. All rights reserved.
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页码：36 / 41
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