摘要
面向未来网络的愿景与需求,融合区块链与联邦智能技术,提出了一种新的数字孪生边缘网络架构,并探究了数字孪生边缘网络部署与实施过程中所面临的主要挑战与关键问题,如虚实孪生映射与孪生体迁移等。所提方案能够在未来网络中构建低时延、高可靠、安全可信的边缘智能系统,可以有效推动未来6G网络泛在智能连接愿景的落地与实现。
Focusing on the future vision and requirements of 6G networks,a new integrated architecture called the Digital Twin Edge Network(DITEN)is proposed,which is based on blockchain and federated intelligence.By utilizing techniques such as resource optimization and rein-forcement learning,the challenges of digital twin mapping and digital twin migration during the deployment and implementation of DITEN are explored.The proposed solution aims to establish low-latency,high-reliability,secure,and trustworthy edge intelligence in future net-works,thereby facilitating the realization of the pervasive intelligence vision of 6G.
作者
张彦
卢云龙
ZHANG Yan;LU Yunlong(University of Oslo,Oslo 0317,Norway;State Key Lab of Rail Traffic Control&Safety,Beijing Jiaotong Univer-sity,Beijing 100044,China)
出处
《中兴通讯技术》
2023年第3期21-25,共5页
ZTE Technology Journal
基金
国家自然科学基金(62201030)
北京市自然科学基金-丰台轨道交通前沿研究联合基金资助(L211013)。
关键词
6G
数字孪生网络
联邦学习
边缘智能
6G
digital twin networks
federated learning
edge intelligence