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 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.
Diffusion-based Auction Mechanism for Efficient Resource Management in 6G-enabled Vehicular Metaverses
School of Automation, Guangdong University of Technology（广东工业大学自动化学院）；School of Computer Science and Engineering, Nanyang Technological University（南洋理工大学计算机科学与工程学院）；Department of Electrical and Computer Engineering, Auburn University（奥本大学电气与计算机工程系）
Cross-reality location privacy protection in 6G-enabled vehicular metaverses: an LLM-enhanced hybrid generative diffusion model-based approach
School of Automation, Guangdong University of Technology（自动化学院，广东技术大学）；School of Computer Science and Engineering, Nanyang Technological University（计算机科学与工程学院，南洋理工大学）；Department of Electrical and Computer Engineering, University of Manitoba（电气与计算机工程系，曼尼托巴大学）；Department of Electrical and Computer Engineering, Sungkyunkwan University（电气与计算机工程系，成均馆大学）
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
Concordia University（康考迪亚大学）；École de Technologie Supérieure（高等技术学院）；Polytechnique Montréal（蒙特利尔理工学院）；Lebanese American University（黎巴嫩美国大学）；Mohamed Bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；New York University（纽约大学）；Khalifa University（哈利法大学）
AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends
Walton Institute for Information and Communication Systems Science（沃尔顿信息与通信系统科学研究所）；South East Technological University（东南理工大学）；CNIC, University of Chinese Academy of Sciences（中国科学院大学计算机网络信息中心）；University of Chinese Academy of Sciences（中国科学院大学）；Faculty of Engineering and Technology, University of Sindh（信德大学工程与技术学院）；Munster Technological University（芒斯特理工大学）；Institute of Intelligent Systems, University of Johannesburg（约翰内斯堡大学智能系统研究所）；University of Johannesburg（约翰内斯堡大学）；Sungkyunkwan University（成均馆大学）；University of Bologna（博洛尼亚大学）
Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions
University of Sindh（信德大学）；Institute of Business Administration, University of Sindh（信德大学工商管理学院）；Nimbus Research Centre（尼姆布斯研究中心）；Munster Technological University（芒斯特理工大学）
