Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running
5G serves as the pivotal infrastructure for the emerging era of the Internet of everything, with intelligentization being its crucial direction. In the 5G-Advanced (5G-A) phase, AI enabled core network running can substantially enhance network efficiency, facilitate real-time perception, and precise...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2024-12-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024255/ |
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author | SHI Yuanyuan WEI Bin LI Aihua XU Ming ZHANG Yumin SHEN Shen MENG Han JIANG Yu LIU Le |
author_facet | SHI Yuanyuan WEI Bin LI Aihua XU Ming ZHANG Yumin SHEN Shen MENG Han JIANG Yu LIU Le |
author_sort | SHI Yuanyuan |
collection | DOAJ |
description | 5G serves as the pivotal infrastructure for the emerging era of the Internet of everything, with intelligentization being its crucial direction. In the 5G-Advanced (5G-A) phase, AI enabled core network running can substantially enhance network efficiency, facilitate real-time perception, and precisely cater to diversified service demands through the deep integration of AI technology and network running mechanisms. For the 5G-A network, the overall intelligent architecture, key technologies, and applications of AI enabled core network operations were highlighted. Firstly, the development trend of AI enabled 5G-A core network running was analyzed and key intelligent applications were elaborated. Secondly, AI enabled core network running architecture combining four layers and four dimensions was proposed, encompassing a central intelligent analysis layer, a control plane intelligent endogenous layer, an edge real-time inference layer, and an on-device lightweight inference layer. This architecture enables customized, real-time data collection across four dimensions: slices, network elements, users, and service flows, thereby offering intelligent analysis services such as data perception, training, and inference. Then, five key technologies and capabilities of AI enabled core network running were introduced. Finally, focusing on the typical service requirements of AI enabled core network running, the relevant solutions and their results were analyzed and summarized, thus providing new ideas for the application and implementation of 5G-A core network intelligence. |
format | Article |
id | doaj-art-6bfb5291c24f4be1b00c003921a73c25 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2024-12-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-6bfb5291c24f4be1b00c003921a73c252025-01-15T03:34:23ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-12-014014616279426204Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network runningSHI YuanyuanWEI BinLI AihuaXU MingZHANG YuminSHEN ShenMENG HanJIANG YuLIU Le5G serves as the pivotal infrastructure for the emerging era of the Internet of everything, with intelligentization being its crucial direction. In the 5G-Advanced (5G-A) phase, AI enabled core network running can substantially enhance network efficiency, facilitate real-time perception, and precisely cater to diversified service demands through the deep integration of AI technology and network running mechanisms. For the 5G-A network, the overall intelligent architecture, key technologies, and applications of AI enabled core network operations were highlighted. Firstly, the development trend of AI enabled 5G-A core network running was analyzed and key intelligent applications were elaborated. Secondly, AI enabled core network running architecture combining four layers and four dimensions was proposed, encompassing a central intelligent analysis layer, a control plane intelligent endogenous layer, an edge real-time inference layer, and an on-device lightweight inference layer. This architecture enables customized, real-time data collection across four dimensions: slices, network elements, users, and service flows, thereby offering intelligent analysis services such as data perception, training, and inference. Then, five key technologies and capabilities of AI enabled core network running were introduced. Finally, focusing on the typical service requirements of AI enabled core network running, the relevant solutions and their results were analyzed and summarized, thus providing new ideas for the application and implementation of 5G-A core network intelligence.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024255/5G-Advancedartificial intelligencecore networknetwork data analysis |
spellingShingle | SHI Yuanyuan WEI Bin LI Aihua XU Ming ZHANG Yumin SHEN Shen MENG Han JIANG Yu LIU Le Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running Dianxin kexue 5G-Advanced artificial intelligence core network network data analysis |
title | Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running |
title_full | Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running |
title_fullStr | Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running |
title_full_unstemmed | Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running |
title_short | Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running |
title_sort | research on the evolution key technologies and applications for ai enabled 5g advanced core network running |
topic | 5G-Advanced artificial intelligence core network network data analysis |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024255/ |
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