Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making
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Published:2023-07-28
Issue:15
Volume:12
Page:3255
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Lu Lu1, Liu Chao1, Zhang Chunhong2ORCID, Hu Zheng2ORCID, Lin Shangjing2, Liu Zihao2, Zhang Meng2, Liu Xinshu2, Chen Jinhao2
Affiliation:
1. China Mobile Research Institute, Beijing 100053, China 2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100083, China
Abstract
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.
Funder
BUPT-CMCC Joint Innovation Center
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
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