Toward 6G-based metaverse : supporting highly-dynamic deterministic multi-user extended reality services |
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Author: | Yu, Hao1,2,3; Shokrnezhad, Masoud1,2,3; Taleb, Tarik1,2,3; |
Organizations: |
1Oulu University, Finland 2Futurewei Technologies, USA 3Sejong University, Korea |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, ) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20231116147122 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2023
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Publish Date: | 2023-11-16 |
Description: |
AbstractMetaverse 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. see all
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Series: |
IEEE network |
ISSN: | 0890-8044 |
ISSN-E: | 1558-156X |
ISSN-L: | 0890-8044 |
Volume: | 37 |
Issue: | 4 |
Pages: | 30 - 38 |
DOI: | 10.1109/MNET.004.2300101 |
OADOI: | https://oadoi.org/10.1109/MNET.004.2300101 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
This research work is partially supported by the European Union's Horizon 2020 Research and Innovation Program through the 6GSandbox project under Grant No. 101096328, the Business Finland 6Bridge 6Core project under Grant No. 8410/31/2022, the Academy of Finland 6G Flagship program under Grant No. 346208, and the Academy of Finland IDEA-MILL project under Grant No. 352428. Prof. Song was supported by the Ministry of Science and ICT, Korea, under the Information Technology Research Center support program (IITP-2023-2021-0-01816) supervised by the Institute for Information & Communications Technology Planning & Evaluation. |
EU Grant Number: |
(101096328) 6G-SANDBOX - Supporting Architectural and technological Network evolutions through an intelligent, secureD and twinning enaBled Open eXperimentation facility |
Academy of Finland Grant Number: |
346208 352428 |
Detailed Information: |
346208 (Academy of Finland Funding decision) 352428 (Academy of Finland Funding decision) |
Copyright information: |
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