6G-enabled Edge AI for Metaverse: Challenges, Methods, and Future Research Directions

TL;DR

This paper surveys how 6G-enabled edge AI can address resource and computing challenges in Metaverse development, proposing new architectures and discussing future research directions.

Contribution

It introduces three novel edge-Metaverse architectures leveraging 6G-enabled edge AI to overcome resource limitations and enhance Metaverse capabilities.

Findings

Proposed three new edge-Metaverse architectures using 6G-enabled edge AI

Summarized technical challenges and existing solutions in the field

Discussed future research directions for integrating 6G, edge AI, and Metaverse

Abstract

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.