Mobility Aware Optimization in the Metaverse

TL;DR

This paper proposes a mobility-aware optimization framework for the Metaverse that efficiently manages resources by considering user mobility, service decomposition, and quality of experience, outperforming baseline schemes.

Contribution

It introduces a joint optimization approach that accounts for user mobility and service decomposition in Metaverse applications over 5G networks, enhancing resource efficiency.

Findings

Optimized resource management improves service delay and user perception.

The scheme outperforms baseline methods ignoring user mobility.

Numerical results validate the effectiveness of the proposed approach.

Abstract

Metaverse applications that incorporate Mobile Augmented Reality (MAR) provide mixed and immersive experiences by amalgamating the virtual with the physical world. Notably, due to their multi-modality such applications are demanding in terms of energy consumption, computing and caching resources to efficiently support foreground interactions of participating users and rich background content. In this paper, the metaverse service is decomposed and anchored at suitable edge caching/computing nodes in 5G and beyond networks to enable efficient processing of background metaverse region models embedded with target AROs. To achieve that, a joint optimization problem is proposed, which explicitly considers the user physical mobility, service decomposition, and the balance between service delay, user perception quality and power consumption. A wide set of numerical investigations reveal that, the proposed scheme could provide optimal decision making and outperform other nominal baseline schemes which are oblivious of user mobility as well as do not consider service decomposition.