数字孪生边缘网络

发布时间:2023-06-26 作者:张彦,卢云龙 阅读量:

 

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。

关键词:6G;数字孪生网络;联邦学习;边缘智能

 

Abstract: 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 reinforcement 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 networks, thereby facilitating the realization of the pervasive intelligence vision of 6G.

Keywords: 6G; digital twin networks; federated learning; edge intelligence

 

 

 

 

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