武刚

教授

博士生导师    

毕业院校:电子科技大学

联系方式:

办公地点:清水河主楼B3-607

曾获荣誉:2012 IEEE全球通信大会Globecom最佳论文奖;
2023年中国电子学会科学技术奖自然科学一等奖(大规模网络高效传输理论与方法,排名第五);
2015亚洲5G算法创新大赛杰出导师奖;
2017华为无线优秀合作项目(排名第三);
2017/2023年度《中国科学-信息科学》《Science China Information Science》编委突出贡献奖;
2023年电子科技大学“教学改革创新示范奖”二等奖。

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教学科研信息分享

与西电赵力强教授等团队在IEEE NETWORK发表开源6G核心网

发布时间:2026-07-14 点击次数:

发表期刊:IEEE Network

作者: 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

论文摘要:

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.

L. Zhao et al., "Holistic-Service-Based Architecture for Open-Source 6G Core Networks," in IEEE Network, doi: 10.1109/MNET.2026.3708223. https://ieeexplore.ieee.org/document/11597903 



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