Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse

In the digital transformation era, Metaverse offers a fusion of virtual reality (VR), augmented reality (AR), and web technologies to create immersive digital experiences. However, the evolution of Metaverse is slowed down by the challenges of content creation, scalability, and dynamic user interaction. Our study investigates the combination of Mixture of Experts (MoE) models with Generative Artificial Intelligence (GenAI) for mobile edge computing to revolutionize content creation and interaction in the Metaverse. Specifically, we harness an MoE model’s ability to efficiently manage complex data and tasks by dynamically selecting the most relevant experts running various sub-models to enhance the capabilities of GenAI. We then present a novel framework that improves video content generation quality and consistency and demonstrate its application through case studies. Our findings underscore the efficacy of MoE and GenAI combination to redefine virtual experiences by offering a scalable, efficient pathway to harvest the Metaverse’s full potential.

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Publication Details

Journal
IEEE Network
Published
2025-01-01
DOI
https://doi.org/10.1109/mnet.2025.3639257
Citations
1
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.94
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article

Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse

Zehui Xiong, Dong In Kim, Jiawen Kang, Hongyang Du et al.
1 citations
IEEE Network
Virtual Reality Applications and Impacts
1.94
article

Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse

Zehui Xiong, Dong In Kim, Jiawen Kang, Hongyang Du, Shiwen Mao, Abbas Jamalipour, Dusit Niyato, Guangyuan Liu
article en
1 citations

Abstract

In the digital transformation era, Metaverse offers a fusion of virtual reality (VR), augmented reality (AR), and web technologies to create immersive digital experiences. However, the evolution of Metaverse is slowed down by the challenges of content creation, scalability, and dynamic user interaction. Our study investigates the combination of Mixture of Experts (MoE) models with Generative Artificial Intelligence (GenAI) for mobile edge computing to revolutionize content creation and interaction in the Metaverse. Specifically, we harness an MoE model’s ability to efficiently manage complex data and tasks by dynamically selecting the most relevant experts running various sub-models to enhance the capabilities of GenAI. We then present a novel framework that improves video content generation quality and consistency and demonstrate its application through case studies. Our findings underscore the efficacy of MoE and GenAI combination to redefine virtual experiences by offering a scalable, efficient pathway to harvest the Metaverse’s full potential.

IEEE Network
Queen's University Belfast (GB), The University of Sydney (AU), Guangdong University of Technology (CN), Nanyang Technological University (SG), Auburn University (US), Sungkyunkwan University (KR), University of Hong Kong (HK)
Openalex Percentile: Top 10%
Virtual Reality Applications and Impacts
1.94
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Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse — Zehui Xiong, Dong In Kim, et al. · IEEE Network (2025) | TGRS Research Map | TGRS