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

TL;DR

This paper proposes integrating Mixture of Experts models with Generative AI in mobile edge computing to enhance content creation and interaction in the Metaverse, addressing scalability and quality challenges.

Contribution

It introduces a novel framework combining MoE and GAI for improved video content generation in the Metaverse, demonstrating its effectiveness through case studies.

Findings

Enhanced video content quality and consistency

Scalable and efficient content generation framework

Successful application in case studies

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 the Metaverse is slowed down by the challenges of content creation, scalability, and dynamic user interaction. Our study investigates an integration of Mixture of Experts (MoE) models with Generative Artificial Intelligence (GAI) 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 complex tasks by dynamically selecting the most relevant experts running various sub-models to enhance the capabilities of GAI. 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 GAI integration to redefine virtual experiences by offering a scalable, efficient pathway to harvest the Metaverse's full potential.