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Digital Twin-Empowered Network Planning for Multi-Tier computing

Journal of Communications and Information Networks 2022年第3期7卷 221-238页

作者： Conghao Zhou Jie Gao Mushu Li Xuemin(Sherman)Shen Weihua Zhuang Department of Electrical and Computer Engineering University of WaterlooWaterlooONN2L 3G1Canada School of Information Technology Carleton UniversityOttawaONK1S 5B6Canada Department of Electrical Computerand Biomedical EngineeringToronto Metropolitan UniversityTorontoONM5B 2K3Canada

In this paper,we design a resource management scheme to support stateful applications,which will be prevalent in sixth generation(6G)*** from stateless applications,stateful applications require context data while executing computing tasks from user terminals(UTs).Using a multi-tier computing paradigm with servers deployed at the core network,gateways,and base stations to support stateful applications,we aim to optimize long-term resource reservation by jointly minimizing the usage of computing,storage,and communication resources and the cost of reconfiguring resource *** coupling among different resources and the impact of UT mobility create challenges in resource *** address the challenges,we develop digital twin(DT)empowered network planning with two elements,i.e.,multi-resource reservation and resource reservation ***,DTs are designed for collecting UT status data,based on which UTs are grouped according to their mobility ***,an algorithm is proposed to customize resource reservation for different groups to satisfy their different resource ***,a Meta-learning-based approach is developed to reconfigure resource reservation for balancing the network resource usage and the reconfiguration *** results demonstrate that the proposed DTempowered network planning outperforms benchmark frameworks by using less resources and incurring lower reconfiguration costs.

关键词： 6G digital twin network planning multitier computing Meta-learning

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