Mobile Edge Computing for the Metaverse

TL;DR

This paper explores how Mobile Edge Computing, combined with advanced wireless tech, blockchain, digital twins, and AI, can enable a high-quality, low-latency Metaverse experience, highlighting research challenges and future directions.

Contribution

It integrates key technologies into MEC for the Metaverse and analyzes research problems, applications, and a case study on user utility maximization.

Findings

MEC significantly reduces latency for Metaverse applications

Integration of 5G/6G, blockchain, digital twins, and AI enhances Metaverse capabilities

Case study provides insights into user utility maximization

Abstract

The Metaverse has emerged as the next generation of the Internet. It aims to provide an immersive, persistent virtual space where people can live, learn, work and interact with each other. However, the existing technology is inadequate to guarantee high visual quality and ultra-low latency service for the Metaverse players. Mobile Edge Computing (MEC) is a paradigm where proximal edge servers are utilized to perform computation-intensive and latency-sensitive tasks like image processing and video analysis. In MEC, the large amount of data is processed by edge servers closest to where it is captured, thus significantly reducing the latency and providing almost real-time performance. In this paper, we integrate fundamental elements (5G and 6G wireless communications, Blockchain, digital twin and artificial intelligence) into the MEC framework to facilitate the Metaverse. We also elaborate on the research problems and applications in the MEC-enabled Metaverse. Finally, we provide a case study to establish a thorough knowledge of the user utility maximization problem in a real-world scenario and gain some insights about trends in potential research directions.