Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making
The rapid progress of 6G mobile communication technologies has sparked a great deal research interests. The 6G core network architecture faces formidable challenges due to the escalating complexity of network service demands and diverse application scenarios. In response, our research endeavors to t...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/15/3255 |
| _version_ | 1797586902564470784 |
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| author | Lu Lu Chao Liu Chunhong Zhang Zheng Hu Shangjing Lin Zihao Liu Meng Zhang Xinshu Liu Jinhao Chen |
| author_facet | Lu Lu Chao Liu Chunhong Zhang Zheng Hu Shangjing Lin Zihao Liu Meng Zhang Xinshu Liu Jinhao Chen |
| author_sort | Lu Lu |
| collection | DOAJ |
| description | The rapid progress of 6G mobile communication technologies has sparked a great deal research interests. The 6G core network architecture faces formidable challenges due to the escalating complexity of network service demands and diverse application scenarios. In response, our research endeavors to tackle these challenges by proposing a self-evolving architecture based on intelligent decision making. Inspired by the principles of biological morphological evolution, our architecture empowers the core network to dynamically adapt and reshape itself in order to effectively address the evolving communication environments. To facilitate this self-evolutionary process, we introduce a comprehensive framework encompassing mechanisms, architecture, agents, and algorithms that enable the network to autonomously generate and optimize its own structure, thereby ensuring adaptability to a wide range of application scenarios. By conducting concept proof simulation experiments, we have demonstrated the effectiveness of our self-evolution algorithm, which enables the 6G core network to make rational evolving decisions and exhibit remarkable adaptability to various application scenarios. |
| first_indexed | 2024-03-11T00:29:45Z |
| format | Article |
| id | doaj.art-c54886936f804bdab809fe43b6c14d8e |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T00:29:45Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-c54886936f804bdab809fe43b6c14d8e2023-11-18T22:48:34ZengMDPI AGElectronics2079-92922023-07-011215325510.3390/electronics12153255Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision MakingLu Lu0Chao Liu1Chunhong Zhang2Zheng Hu3Shangjing Lin4Zihao Liu5Meng Zhang6Xinshu Liu7Jinhao Chen8China Mobile Research Institute, Beijing 100053, ChinaChina Mobile Research Institute, Beijing 100053, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, ChinaThe rapid progress of 6G mobile communication technologies has sparked a great deal research interests. The 6G core network architecture faces formidable challenges due to the escalating complexity of network service demands and diverse application scenarios. In response, our research endeavors to tackle these challenges by proposing a self-evolving architecture based on intelligent decision making. Inspired by the principles of biological morphological evolution, our architecture empowers the core network to dynamically adapt and reshape itself in order to effectively address the evolving communication environments. To facilitate this self-evolutionary process, we introduce a comprehensive framework encompassing mechanisms, architecture, agents, and algorithms that enable the network to autonomously generate and optimize its own structure, thereby ensuring adaptability to a wide range of application scenarios. By conducting concept proof simulation experiments, we have demonstrated the effectiveness of our self-evolution algorithm, which enables the 6G core network to make rational evolving decisions and exhibit remarkable adaptability to various application scenarios.https://www.mdpi.com/2079-9292/12/15/32556G core networkself-evolutionreinforcement learning |
| spellingShingle | Lu Lu Chao Liu Chunhong Zhang Zheng Hu Shangjing Lin Zihao Liu Meng Zhang Xinshu Liu Jinhao Chen Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making Electronics 6G core network self-evolution reinforcement learning |
| title | Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making |
| title_full | Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making |
| title_fullStr | Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making |
| title_full_unstemmed | Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making |
| title_short | Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making |
| title_sort | architecture for self evolution of 6g core network based on intelligent decision making |
| topic | 6G core network self-evolution reinforcement learning |
| url | https://www.mdpi.com/2079-9292/12/15/3255 |
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