Edge Intelligence Empowered Metaverse: Architecture, Technologies, and Open Issues

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Author(s)Xu, Yanan
Author(s)Feng, Daquan
Author(s)Zhao, Mingxiong
Author(s)Sun, Yao
Author(s)Xia, Xiang-Gen
Date Accessioned2024-02-07T19:49:31Z
Date Available2024-02-07T19:49:31Z
Publication Date2023-10-06
Description© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This article was originally published in IEEE Network. The version of record is available at: https://doi.org/10.1109/MNET.2023.3317477. This article will be embargoed until 10/16/2025.
AbstractRecently, the metaverse has emerged as a focal point of widespread interest, capturing attention across various domains. However, the construction of a pluralistic, realistic, and shared digital world is still in its infancy. Due to the ultra-strict requirements in security, intelligence, and real-time, it is urgent to solve the technical challenges existed in building metaverse ecosystems, such as ensuring the provision of seamless communication and reliable computing services in the face of a dynamic and time-varying complex network environment. In terms of digital infrastructure, edge computing (EC), as a distributed computing paradigm, has the potential to guarantee computing power, bandwidth, and storage. Meanwhile, artificial intelligence (AI) is regarded as a powerful tool to provide technical support for automated and efficient decision-making for metaverse devices. In this context, this paper focuses on integrating EC and AI to facilitate the development of the metaverse, namely, the edge intelligence-empowered metaverse. Specifically, we first outline the metaverse architecture and driving technologies and discuss EC as a key component of the digital infrastructure for metaverse realization. Then, we elaborate on two mainstream classifications of edge intelligence in metaverse scenarios, including AI for edge and AI on edge. Finally, we identify some open issues.
SponsorThis work was supported in part by the National Science and Technology Major Project under Grant 2020YFB1807601, the Guangdong Key Areas Research and Development Program under Grant 2022B0101010001, the Shenzhen Science and Technology Program under Grants JCYJ20210324095209025, the National Natural Science Foundation of China under Grant No.62361056, and the Applied Basic Research Foundation of Yunnan Province under Grant Nos. 202201AT070203 and 202301AT070422.
CitationY. Xu, D. Feng, M. Zhao, Y. Sun and X. -G. Xia, "Edge Intelligence Empowered Metaverse: Architecture, Technologies, and Open Issues," in IEEE Network, doi: 10.1109/MNET.2023.3317477.
ISSN1558-156X
URLhttps://udspace.udel.edu/handle/19716/33956
Languageen_US
PublisherIEEE Network
KeywordsMetaverse
Keywordsartificial intelligence
Keywordsrendering (computer graphics)
Keywordscomputer architecture
Keywordsproduction
KeywordsInternet of Things
Keywordscloud computing
TitleEdge Intelligence Empowered Metaverse: Architecture, Technologies, and Open Issues
TypeArticle
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