Knowledge-defined intent-based network autonomy
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,...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-09-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021220/ |
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| _version_ | 1841528959917883392 |
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| author | Jingyu WANG Cheng ZHOU Lei ZHANG Cong LIU Zirui ZHUANG Hongwei YANG Danyang CHEN Yanhong ZHU Lu LU Jianxin LIAO |
| author_facet | Jingyu WANG Cheng ZHOU Lei ZHANG Cong LIU Zirui ZHUANG Hongwei YANG Danyang CHEN Yanhong ZHU Lu LU Jianxin LIAO |
| author_sort | Jingyu WANG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-acfd13ee2ec44923b548c1945c0101ff |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-acfd13ee2ec44923b548c1945c0101ff2025-01-15T03:32:41ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-09-013711359814832Knowledge-defined intent-based network autonomyJingyu WANGCheng ZHOULei ZHANGCong LIUZirui ZHUANGHongwei YANGDanyang CHENYanhong ZHULu LUJianxin LIAOThe 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021220/intent-based networkknowledge-defined networknetwork autonomyself-operation and maintenanceperception and monitoring |
| spellingShingle | Jingyu WANG Cheng ZHOU Lei ZHANG Cong LIU Zirui ZHUANG Hongwei YANG Danyang CHEN Yanhong ZHU Lu LU Jianxin LIAO Knowledge-defined intent-based network autonomy Dianxin kexue intent-based network knowledge-defined network network autonomy self-operation and maintenance perception and monitoring |
| title | Knowledge-defined intent-based network autonomy |
| title_full | Knowledge-defined intent-based network autonomy |
| title_fullStr | Knowledge-defined intent-based network autonomy |
| title_full_unstemmed | Knowledge-defined intent-based network autonomy |
| title_short | Knowledge-defined intent-based network autonomy |
| title_sort | knowledge defined intent based network autonomy |
| topic | intent-based network knowledge-defined network network autonomy self-operation and maintenance perception and monitoring |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021220/ |
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