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Toward 6G-Based Metaverse: Supporting Highly-Dynamic Deterministic Multi-User Extended Reality Services

Published: 01 July 2023 Publication History

Abstract

Metaverse is the concept of a fully immersive and universal virtual space for multiuser interaction, collaboration, and socializing; forming the next evolution of the Internet. Metaverse depends on the convergence of multiple broad technologies that enable eXtended Reality (XR), which is an umbrella term for technologies that lie on the reality-virtuality continuum, namely Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). Compared to streaming volumetric content to a single user, the XR applications that involve multiple users who simultaneously watch the same volumetric content (e.g., VR-based online training/ education and multi-user online gaming) are much more attractive. Multi-user XR/Metaverse puts additional demand on the underlying networks, making it more difficult to offer high-quality immersive material in real-time. To cope with this, in this article, we present a comprehensive system and component design for immersive and seamless multi-user XR experiences. To satisfy the Quality of Experience/Quality of Service (QoE/ QoS) requirements and especially stream synchronization requirement in XR collaboration scenarios, we propose an AI-powered deterministic multi-user extended reality resource orchestrator (PRECISENESS) that aims to solve the multi-user XR service provisioning problem. Finally, we demonstrate the performance of our proposed solution in a single-site multi-user XR use case. The obtained results demonstrate that our solution can deliver high-quality immersive XR services.

References

[1]
P. Dogga et al., “Edge-Based Transcoding for Adaptive Live Video Streaming,” HotEdge, 2019.
[2]
M. Zink, R. Sitaraman, and K. Nahrstedt, “Scalable 360 Video Stream Delivery: Challenges, Solutions, and Opportunities,” Proc. IEEE, vol. 107, no. 4, 2019, pp. 639–50.
[3]
H. Yu, T. Taleb, and J. Zhang, “Deep Reinforcement Learning Based Deterministic Routing and Scheduling for Mixed-Criticality Flows,” IEEE Trans. Industrial Informatics, 2022.
[4]
L. Tian, M. Yang, and S. Wang, “An Overview of Compute First Networking,” lnt'l. J. Web and Grid Services, vol. 17, no. 2, 2021, pp. 81–97.
[5]
S. Kianpisheh and T. Taleb, “A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications,” IEEE Commun. Surveys & Tutorials, 2022.
[6]
G. Shi et al., “From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems.” IEEE Commun. Meg., vol. 59. no. 8, 2021, pp. 44–50.
[7]
K. Khetarpal et al., “Towards Continual Reinforcement Learning: A Review and Perspectives,” Nov. 2022, arXiv: [cs]; available: http://arxiv.org/abs/2012.13490
[8]
C. D. Alwis et al., “Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research,” IEEE Open J. Commun. Society, vol. 2, 2021, pp. 836–86.
[9]
T. Taleb et al., “Towards Supporting Xr Services: Architecture and Enablers,” IEEE Internet of Things J., 2022.
[10]
T. Taleb et al., “VR-Based Immersive Service Management in b5g Mobile Systems: A UAV Command and Control Use Case,” IEEE Internet of Things J., 2022.
[11]
H. Dong and J. S. Lee, “The Metaverse From a Multimedia Communications Perspective,” IEEE MultiMedia, vol. 29, no. 4, 2022, pp. 123–27.
[12]
L. Zhang, H. Dong, and A. E. Saddik, “Towards a QoE Model to Evaluate Holographic Augmented Reality Devices,” IEEE MultiMedia, vol. 26, no. 2, 2019, pp. 21–32.
[13]
M. S. Elbamby et al., “Toward Low-Latency and Ultra-Reliable Virtual Reality,” IEEE Network, vol. 32, no. 2, 2018, pp. 78–84.
[14]
T. Scargill et al., “Ambient Intelligence for Next-Generation AR,” arXiv preprint, 2023.
[15]
Z. Hou et al., “Intelligent Communications for Tactile Internet in 6G: Requirements, Technologies, and Challenges,” IEEE Commun. Mag., vol. 59, no. 12, 2021, pp. 82–88.

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            cover image IEEE Network: The Magazine of Global Internetworking
            IEEE Network: The Magazine of Global Internetworking  Volume 37, Issue 4
            July/August 2023
            307 pages

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            IEEE Press

            Publication History

            Published: 01 July 2023

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