This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base station (BS) continuously collects factory physical object state data from wireless devices to build a real-time virtual DT system for factory event analysis. Due to continuous data transmission, maintaining DT synchronization must use extensive wireless resources. To address this issue, a subset of devices is selected to transmit their sensing data, and resource block (RB) allocation is optimized. This problem is formulated as a constrained Markov process (CMDP) problem that minimizes the long-term mismatch between the physical and virtual systems. To solve this CMDP, we first transform the problem into a dual problem that refines RB constraint impacts on device scheduling strategies. We then propose a continual reinforcement learning (CRL) algorithm to solve the dual problem. The CRL algorithm learns a stable policy across historical experiences for quick adaptation to dynamics in physical states and network capacity. Simulation results show that the CRL can adapt quickly to network capacity changes and reduce normalized root mean square error (NRMSE) between physical and virtual states by up to 55.2%, using the same RB number as traditional methods.
Thermodynamic Digital Twins: Physics-Native Semantic Synchronization for 6G Kinetic Swarms
Future Technology Research Center, China Telecom Research Institute（中国电信研究院未来技术研究中心）；Beijing University of Posts and Telecommunications（北京邮电大学）；Cloud Network Operating System R&D Center, China Telecom（中国电信云网操作系统研发中心）；University of Southampton（南安普顿大学）
Digital twins, which are a new concept in industrial control systems (ICS), play a key role in realizing the vision of a smart factory, and they can have different effective use cases. With digital twins, we have virtual replicas of physical systems so that they precisely mirror the internal behavior of the physical systems. Hence, synchronization is necessary to keep the states of digital twins in sync with those of their physical counterparts. Otherwise, their behavior may be different from each other, and it can lead to wrong decisions about the system that can have catastrophic consequence…
Digital twins (DTs) constitute a critical link between the real-world and the metaverse. To guarantee a robust connection between these two worlds, DTs should maintain accurate representations of the physical applications, while preserving synchronization between real and digital entities. In this paper, a novel edge continual learning framework is proposed to accurately model the evolving affinity between a physical twin (PT) and its corresponding cyber twin (CT) while maintaining their utmost synchronization. In particular, a CT is simulated as a deep neural network (DNN) at the wireless net…
Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach
School of Science and Technology, Hong Kong Metropolitan University（香港都会大学科学技术学院）；School of Cybersecurity, Northwestern Polytechnical University（西北工业大学网络空间安全学院）；University of Oslo（奥斯陆大学）
Accommodating digital twins (DTs) in the metaverse is essential to achieving digital reality. This need for integrating DTs into the metaverse while operating them at the network edge has increased the demand for a decentralized edge-enabled metaverse. Hence, to consolidate the fusion between real and digital entities, it is necessary to harmonize the interoperability between DTs and the metaverse at the edge. In this paper, a novel decentralized metaverse framework that incorporates DT operations at the wireless edge is presented. In particular, a system of autonomous physical twins (PTs) ope…
Tutorial on Closed-Loop and Application-Aware Digital Twins for Future Wireless Networks
North Carolina State University（北卡罗来纳州立大学）；IBM（国际商业机器公司）；University of Miami（迈阿密大学）；NVIDIA（英伟达）；Edinburgh Napier University（爱丁堡纳皮尔大学）；Northeastern University（东北大学）
When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospects
School of Science and Technology, Hong Kong Metropolitan University（香港都会大学科技学院）；School of Intelligent Systems Science and Engineering, Jinan University（暨南大学智能系统科学与工程学院）；Nanjing University of Posts and Telecommunications（南京邮电大学）
Modular Multi-Domain Digital Twin Architecture: Sustainable Intent-Driven 6G Management
University of Applied Sciences and Arts Western Switzerland（西部瑞士应用科学与艺术大学）；Technische Universität Berlin（柏林工业大学）；Poznań University of Technology（波兹南理工大学）；Centrum Wiskunde & Informatica（荷兰数学与计算机科学研究中心）；Eindhoven University of Technology（埃因霍温理工大学）；Centre Tecnològic de Telecomunicacions de Catalunya（加泰罗尼亚电信技术中心）；Telefónica Innovación Digital（西班牙电信数字创新）；Ceragon Networks（萨瑞昂网络）
Metaverse has recently attracted much attention from both academia and industry. Virtual services, ranging from virtual driver training to online route optimization for smart goods delivery, are emerging in the Metaverse. To make the human experience of virtual life more real, digital twins (DTs), namely digital replicas of physical objects, are key enablers. However, DT status may not always accurately reflect that of its real-world twin because the latter may be subject to changes with time. As such, it is necessary to synchronize a DT with its physical counterpart to ensure that its status …
Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks
School of Science and Technology, Hong Kong Metropolitan University（香港都会大学科学技术学院）；School of Intelligent Systems Science and Engineering, Jinan University（暨南大学智能系统科学与工程学院）；Zhejiang University/University of Illinois Urbana Champaign Institute, Zhejiang University（浙江大学浙江大学-伊利诺伊大学厄巴纳-香槟分校联合研究院）；National Mobile Communications Research Laboratory, Southeast University（东南大学国家移动通信研究实验室）；Department of Informatics, University of Oslo（奥斯陆大学信息学系）
Improving the interactivity and interconnectivity between people is one of the highlights of the Metaverse. The Metaverse relies on a core approach, digital twinning, which is a means to replicate physical world objects, people, actions and scenes onto the virtual world. Being able to access scenes and information associated with the physical world, in the Metaverse in real-time and under mobility, is essential in developing a highly accessible, interactive and interconnective experience for all users. This development allows users from other locations to access high-quality real-world and up-…
