Research on AI based 5G network slice management technology
5G network slicing supports three major service scenarios including enhanced mobile broadband(eMBB), ultra-reliable low-latency communication(uRLLC), and massive machine-type communication(mMTC). It can share physical resources and ensure the isolation requirements between slices. Network slicing fe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2020-01-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000112280 |
| _version_ | 1828412835612327936 |
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| author | Xu Dan Wang Haining Yuan Xiangfeng Zhu Xuetian |
| author_facet | Xu Dan Wang Haining Yuan Xiangfeng Zhu Xuetian |
| author_sort | Xu Dan |
| collection | DOAJ |
| description | 5G network slicing supports three major service scenarios including enhanced mobile broadband(eMBB), ultra-reliable low-latency communication(uRLLC), and massive machine-type communication(mMTC). It can share physical resources and ensure the isolation requirements between slices. Network slicing features，such as on-demand customization, real-time deployment, and dynamic guarantee，enable network flexibility, but make network management and operation more complex and challenging. Artificial intelligence(AI) technology is a potential solution to the complexity of network slice management. Therefore, this article will study the integration of AI and network slice management, propose an AI-based intelligent slice management architecture, introduce the intelligent slice management processes in detail, and present some typical application cases. |
| first_indexed | 2024-12-10T12:57:18Z |
| format | Article |
| id | doaj.art-42e9c3cab05b4b5e92e7f1c885139f1a |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-12-10T12:57:18Z |
| publishDate | 2020-01-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-42e9c3cab05b4b5e92e7f1c885139f1a2022-12-22T01:48:04ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982020-01-0146161110.16157/j.issn.0258-7998.1913553000112280Research on AI based 5G network slice management technologyXu Dan0Wang Haining1Yuan Xiangfeng2Zhu Xuetian3China Telecom Research Institute AI R & D Center，Beijing 102209，ChinaChina Telecom Research Institute AI R & D Center，Beijing 102209，ChinaChina Telecom Research Institute AI R & D Center，Beijing 102209，ChinaChina Telecom Intelligent Network and Terminal Research Institute，Beijing 102209，China5G network slicing supports three major service scenarios including enhanced mobile broadband(eMBB), ultra-reliable low-latency communication(uRLLC), and massive machine-type communication(mMTC). It can share physical resources and ensure the isolation requirements between slices. Network slicing features，such as on-demand customization, real-time deployment, and dynamic guarantee，enable network flexibility, but make network management and operation more complex and challenging. Artificial intelligence(AI) technology is a potential solution to the complexity of network slice management. Therefore, this article will study the integration of AI and network slice management, propose an AI-based intelligent slice management architecture, introduce the intelligent slice management processes in detail, and present some typical application cases.http://www.chinaaet.com/article/3000112280network slicingartificial intelligenceintelligent slice management |
| spellingShingle | Xu Dan Wang Haining Yuan Xiangfeng Zhu Xuetian Research on AI based 5G network slice management technology Dianzi Jishu Yingyong network slicing artificial intelligence intelligent slice management |
| title | Research on AI based 5G network slice management technology |
| title_full | Research on AI based 5G network slice management technology |
| title_fullStr | Research on AI based 5G network slice management technology |
| title_full_unstemmed | Research on AI based 5G network slice management technology |
| title_short | Research on AI based 5G network slice management technology |
| title_sort | research on ai based 5g network slice management technology |
| topic | network slicing artificial intelligence intelligent slice management |
| url | http://www.chinaaet.com/article/3000112280 |
| work_keys_str_mv | AT xudan researchonaibased5gnetworkslicemanagementtechnology AT wanghaining researchonaibased5gnetworkslicemanagementtechnology AT yuanxiangfeng researchonaibased5gnetworkslicemanagementtechnology AT zhuxuetian researchonaibased5gnetworkslicemanagementtechnology |