Intent-driven autonomous driving networking technology

被引:0
|
作者
Leng C. [1 ]
Yang C. [1 ]
Peng Y. [1 ]
机构
[1] School of Telecommunications Engineering, Xidian University, Xi'an
关键词
artificial intelligence; closed-loop control; Intent-driven Networks; network autonomy;
D O I
10.19665/j.issn1001-2400.2022.04.008
中图分类号
学科分类号
摘要
End-users,vertical industries,content providers,etc.present higher requirements for future network flexibility and intelligence.The diversification of network services and the complexity of network architectures urgently require the autonomy of network planning,management,operation and optimization,and ultimately achieve a high degree of autonomy in network intent and service intent.To reduce the complexity of network management and enhance the degree of network self-optimization,new technologies such as automation,intent-driven networks,artificial intelligence and automatic policy generation need to be explored and utilized to realize autonomous driving networks.The autonomous driving network takes the intent-driven network as the vision of the current network evolution,and relies on its intent translation technology and strategy generation verification technology to realize the efficient operation and management of the network based on the intent.In addition,it combines artificial intelligence technology to reduce the cost of manual operation and maintenance and improve the efficiency of network management optimization.This paper summarizes the research background of autonomous driving networks,clarifies the definition and advantages of autonomous driving networks and then,proposes a new autonomous driving network control architecture,implementation process and key technologies.Finally,a typical autonomous driving network application example is designed to demonstrate the feasibility of realizing the vision of autonomous driving networks and clarify the development direction of autonomous driving networks.The autonomous driving network provides users with more flexible and efficient network management and control capabilities,effectively realizes user demands and improves user experience. © 2022 Science Press. All rights reserved.
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页码:60 / 70
页数:10
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