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Holistic-Service-Based Architecture for Open-Source 6G Core Networks

  • Liqiang Zhao
  • , Huixian Gu
  • , Gang Wu
  • , Yang Liu
  • , Tao Sun
  • , Zhimi Cheng
  • , Hui Xu
  • , Hongyang Du
  • , Geogre K. Karagiannidis
  • , Gan Zheng
  • , Zhu Han
  • , Kai Kit Wongm
  • , Arumugam Nallanathan
  • , Chan Byoung Chae
  • Xidian University
  • University of Electronic Science and Technology of China
  • China Telecommunications
  • China Mobile Research Institute
  • Datang Mobile Communications Equipment Co. Ltd
  • The University of Hong Kong
  • Aristotle University of Thessaloniki
  • University of Warwick
  • University of Houston
  • University College London
  • Yonsei University
  • Queen Mary University of London
  • Kyung Hee University

Research output: Contribution to journalArticlepeer-review

Abstract

Service-based architecture (SBA) has long been recognized as a key enabler of the 5G core network in supporting a wide variety of use cases with challenging requirements, both in the Internet of Things (IoT) and across vertical industries. However, the evolution toward 6G reveals inherent limitations of existing SBA-based core networks, which are primarily designed for static service provisioning. As a consequence, artificial intelligence (AI) is often introduced as an external add-on rather than being natively embedded into the core network architecture, fundamentally limiting the ability to support intelligent, adaptive, and service-aware networking. Furthermore, AI is increasingly becoming a native capability, rather than an external “plug-in” function, in nextgeneration networks. In this context, SBA and AI are natively integrated into an open-source core network (OpenCN). First, we present a novel holistic-service-based OpenCN architecture that incorporates native AI as well as a management and orchestration (MANO) plane. The servicebased MANO plane is designed according to two core principles: (i) decoupling monolithic OpenCN components into independent functions and resources, and (ii) reconfiguring the required functions and resources to construct a customized OpenCN instance tailored to users’ specific requirements. In this manner, each user can be provisioned with a personalized service. Second, we evaluate the performance of the proposed OpenCN framework using a smallscale test network. The results demonstrate that OpenCN achieves higher bandwidth utilization, more efficient resource allocation, and lower energy consumption compared with benchmark solutions. Finally, we discuss several promising research directions for next-generation OpenCNs.

Original languageEnglish
JournalIEEE Network
DOIs
Publication statusAccepted/In press - 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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