Source-linked AI summary
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse
Moayad Aloqaily, Ouns Bouachir, Fakhri Karray, Ismaeel Al Ridhawi, Abdulmotaleb El Saddik
TL;DR
The paper addresses the unresolved challenges of realizing scalable, immersive metaverse services, including object cloning, self-management, synchronization, and trusted transactions. It proposes a conceptual framework integrating digital twins with AI, 6G, blockchain, and XR, and concludes that these technologies are key elements while implementation and performance study remain future work.
Problem
Realizing the metaverse requires accurate object cloning, self-configuring management, trusted transactions, and scalable communication for large heterogeneous data volumes.
Method
The paper proposes a conceptual framework integrating digital twins, AI, XR, 6G communication, and blockchain across cooperating metaverse components.
Results
The paper concludes that AI, DT, XR, 6G, and blockchain are key elements for providing enhanced metaverse experiences and services.
Takeaways & Limitations
Realizing end-to-end metaverse services requires coordinated integration of multiple intelligent, communication, immersive, and trust technologies.
Takeaways & Limitations
The proposed platform remains to be implemented and evaluated for its performance and impact on metaverse services.
Abstract
from arXiv · showhide
The advances in Artificial Intelligence (AI) have led to technological advancements in a plethora of domains. Healthcare, education, and smart city services are now enriched with AI capabilities. These technological advancements would not have been realized without the assistance of fast, secure, and fault-tolerant communication media. Traditional processing, communication and storage technologies cannot maintain high levels of scalability and user experience for immersive services. The metaverse is an immersive three-dimensional (3D) virtual world that integrates fantasy and reality into a virtual environment using advanced virtual reality (VR) and augmented reality (AR) devices. Such an environment is still being developed and requires extensive research in order for it to be realized to its highest attainable levels. In this article, we discuss some of the key issues required in order to attain realization of metaverse services. We propose a framework that integrates digital twin (DT) with other advanced technologies such as the sixth generation (6G) communication network, blockchain, and AI, to maintain continuous end-to-end metaverse services. This article also outlines requirements for an integrated, DT-enabled metaverse framework and provides a look ahead into the evolving topic.
1 INTRODUCTION
The metaverse is an evolving 3D hybrid environment whose realization requires accurate object cloning, self-management, and trusted transactions. The article proposes a conceptual framework integrating DT, blockchain, AI, XR, and 6G to address these requirements.
- The metaverse combines physical and virtual objects in an immersive 3D environment supported by AR, VR, MR, and XR.
- Realizing the metaverse requires object cloning, self-configuring management, and trust and authenticity for virtual objects and transactions.
- Digital twins mirror physical entities and evolve synchronously, while AI-supported techniques reproduce their behavior, actions, and decisions.
- AI-enabled ML, DL, and FL support precise interactions and continuous self-management of metaverse networks, devices, and services.
- Blockchain addresses decentralized trust by supporting transaction authentication, transparency, immutability, integrity, privacy, and participant reputation.
- The article introduces a conceptual DT-enabled metaverse framework integrating DT, blockchain, AI, and XR for service quality and resource management.
2 A CONCEPTUAL FRAMEWORK FOR THE META-
The conceptual framework treats the metaverse as a data-intensive ecosystem built from cooperating digital twins, devices, networks, and services. It uses real-time data and DT analysis to create realistic virtual objects while facing demanding synchronization, interoperability, and trust requirements.
- 2.1 DT for Metaverse Services: Metaverse services depend on data collection, transmission, manipulation, and generation across mobile devices, cameras, headsets, and edge nodes.
- 2.1 DT for Metaverse Services: Cooperating digital twins monitor entities and operations, including wireless-network infrastructure, to support comprehensive analysis of metaverse services.
- 2.2 DT for Real-World Metaverse: Digital twins use real-time data to construct physical objects in the virtual environment and generate realistic responses based on analyzed physical characteristics.
- 2.2 DT for Real-World Metaverse: The real-world metaverse can support monitoring and interaction in healthcare, construction, shopping, tourism, forensics, and smart-city safety.
- 2.2 DT for Real-World Metaverse: Building the environment requires large volumes of IoT and high-resolution video data processed with AI and ML methods.
- 2.3 Metaverse Requirements: Cooperation among diverse digital twins creates challenges involving data accessibility, availability, integrity, delay, responsiveness, accuracy, standardization, transparency, and trust.
3 ENHANCED DT-ENABLED METAVERSE FRAME-
The enhanced framework distributes metaverse functions across IoT, DT, XR, metaverse-manager, and blockchain layers connected through 6G. These components cooperate at the edge to gather data, construct realistic environments, manage interactions, and preserve authenticated information.
- The platform distributes DT and XR modules across cooperating edge nodes, with edge management and 6G data provision supporting metaverse QoE and QoS.
- The proposed DT-6G platform comprises IoT, DT, XR, metaverse-manager, and blockchain layers whose communication uses 6G to provide required data QoS.
- The IoT layer gathers and manages data needed to build digital twins, while the DT layer applies AI, ML, optimization, and game-theory mechanisms.
- The metaverse manager connects participants, DT, and XR, retrieves DT responses through blockchain, constructs realistic 3D objects, and records requests and transactions.
- Figure 1 presents immersive XR services delivered by cooperative edge entities with communication maintained over 6G.
- Blockchain stores decisions, models, responses, and context, authenticates shared information, and supports interoperability and nearby information retrieval.
4 REAL-WORLD METAVERSE FRAMEWORK OPER-
The operational framework creates digital twins from real-world data, processes participant requests, constructs 3D environments from blockchain-backed DT information, and translates XR gestures into realistic responses.
- The framework begins by collecting object, operation, and service data in real time through 6G and forwarding it to adaptively selected edge nodes.
- The metaverse manager processes participant requests to extract features for 3D-environment design and participant connections.
- The XR layer retrieves DT information from blockchain, performs data linking and 3D construction, and sends visual elements to participants through 6G.
- XR tracking tools capture participant gestures and forward translated requests to the metaverse manager, where AI-based DT approaches generate realistic object responses.
5 CONCLUDING REMARKS AND THE WAY AHEAD
The metaverse is envisioned as a broad ecosystem affecting content, economies, society, and trust, but realizing end-to-end services requires integrating multiple technologies and addressing substantial infrastructure challenges.
- 5 CONCLUDING REMARKS AND THE WAY AHEAD: The metaverse is expected to expand beyond avatars into content creation, virtual economies, social interaction, and services that affect the physical world.The envisioned ecosystem includes personification, content, economy, society, and trust and security concerns.
- 5 CONCLUDING REMARKS AND THE WAY AHEAD: AI, digital twins, extended reality, 6G, and blockchain are identified as key elements for enhanced metaverse experiences.The article presents their integration as necessary for provisioning the metaverse.
- 5 CONCLUDING REMARKS AND THE WAY AHEAD: Traditional communication infrastructures cannot handle excessive metaverse data, requiring next-generation networks such as 6G with QoS, QoE, slicing, and virtualization support.The stated requirements also include congestion control.
- 5 CONCLUDING REMARKS AND THE WAY AHEAD: Distributed edge computing is needed for metaverse data storage, analysis, federated learning, and real-time service provisioning.The passage frames edge support as necessary alongside cloud solutions.
- 5 CONCLUDING REMARKS AND THE WAY AHEAD: AI integration must extend to XR devices and other metaverse components, while plug-and-play AI can support processing near end devices and efficient communication.The passage specifically links PnP-AI-supported devices to processing and network efficiency.
- 5 CONCLUDING REMARKS AND THE WAY AHEAD: Blockchain requires greater scalability and more distributed control because current forms have complexity and total-anonymity drawbacks.Hierarchical blockchain is presented as one example of distributing data control across edge and cloud devices.