6G-Enabled Edge AI for Metaverse: Challenges, Methods, and Future Research Directions
查看参考文献67篇
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文摘
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Sixth generation(6G) enabled edge intelligence opens up a new era of Internet of everything and makes it possible to interconnect people-devices-cloud anytime, anywhere. More and more next-generation wireless network smart service applications are changing our way of life and improving our quality of life. As the hottest new form of next-generation Internet applications, Metaverse is striving to connect billions of users and create a shared world where virtual and reality merge. However, limited by resources, computing power, and sensory devices, Metaverse is still far from realizing its full vision of immersion, materialization, and interoperability. To this end, this survey aims to realize this vision through the organic integration of 6G-enabled edge artificial intel- ligence(AI) and Metaverse. Specifically, we first introduce three new types of edge-Metaverse architectures that use 6G-enabled edge AI to solve resource and computing constraints in Metaverse. Then we summarize technical challenges that these architectures face in Metaverse and the existing solutions. Furthermore, we explore how the edge-Metaverse architecture technology helps Metaverse to interact and share digital data. Finally, we discuss future research directions to realize the true vision of Metaverse with 6G-enabled edge AI. |
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来源
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Journal of Communications and Information Networks
,2022,7(2):107-121 【核心库】
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DOI
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10.23919/JCIN.2022.9815195
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关键词
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edge artificial intelligence
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artificial intelligence
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6G
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metaverse
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federated learning
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地址
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1.
School of Data Science and Technology, Heilongjiang University, Harbin, 150080
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SenseTime Group Limited, Shenzhen, 518000
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Pillar of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore, Singapore, 487372
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School of Automation, Guangdong University of Technology, and Center for Intelligent Batch Manufacturing based on IoT Technology, Guangzhou, 510006
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School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore, 639798
6.
Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, 100876
7.
Institute for Cryptology and Network Security, Heilongjiang University, Harbin, 150080
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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2096-1081 |
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学科
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电子技术、通信技术 |
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基金
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by the National Key R&D Program of China
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国家自然科学基金
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the Fundamental Research Funds for Heilongjiang University, China
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the 2019- "Chunhui" Plan Cooperative Scientific Research Project of the Ministry of Education of China
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supported in part by Heilongjiang Provincial Natural Science Foundation of China
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文献收藏号
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CSCD:7317940
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