Semantic-aware Digital Twin for Metaverse: A Comprehensive Review
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Abstract (arXiv)
To facilitate the deployment of digital twins in Metaverse, the paradigm with semantic awareness has been proposed as a means for enabling accurate and task-oriented information extraction with inherent intelligence. However, this framework requires all devices in the Metaverse environment to be directly linked with the semantic model to enable faithful interpretation of messages. In contrast, this article introduces the digital twin framework, considering a smart industrial application, which enables semantic communication in conjugation with the Metaverse enabling technologies. The fundamentals of this framework are demonstrated on an industrial shopfloor management use case with a digital twin so as to improve its performance through semantic communication. An overview of semantic communication, Metaverse, and digital twins is presented. Integration of these technologies with the basic architecture as well as the impact on future industrial applications is presented. In a nutshell, this article showcases how semantic awareness can be an effective candidate in the implementation of digital twins for Metaverse applications.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 6 of its 22 references that are in the map. First posted on arXiv 12 May 2023.
Builds on
6 of 22 references.
References · 6
- 2021Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directionscited by 38
- 2021Semantic Communications in Networked Systems: A Data Significance Perspectivecited by 24
- 2021Rethinking Modern Communication from Semantic Coding to Semantic Communicationcited by 23
- 2022One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluationcited by 7
- 2022Federated Learning-Based Cell-Free Massive MIMO System for Privacy-Preservingcited by 3
- 2022Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challengescited by 1
Built on by
Citing papers per year: 2023: 2; 2024: 1; 2025: 2.
5 papers.
- 2025Position: Foundation Models Need Digital Twin Representationscited by 10
- 2023Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Networkcited by 5
- 2024Digital Twin in Industries: A Comprehensive Surveycited by 4
- 2023Enhancing Semantic Communication with Deep Generative Models -- An ICASSP Special Session Overviewcited by 1
- 2025LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planningcited by 1
- 2025LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning9 Aug 2025
- 2025Position: Foundation Models Need Digital Twin Representations1 May 2025
- 2024Digital Twin in Industries: A Comprehensive Survey29 Nov 2024
- 2023Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network7 Oct 2023
- 2023Enhancing Semantic Communication with Deep Generative Models -- An ICASSP Special Session Overview5 Sep 2023