# Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing

arXiv: https://arxiv.org/abs/2212.09295 · HTML: https://mlsanity.com/paper/2212.09295/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 15 references that are in the map.
- First posted on arXiv 19 Dec 2022.

## Builds on (most cited first, 8 of 8)

- [All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda](https://mlsanity.com/paper/2110.05352/) (2021)
- [A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges](https://mlsanity.com/paper/2203.05471/) (2022)
- [Artificial Intelligence-Enabled Intelligent 6G Networks](https://mlsanity.com/paper/1912.05744/) (2019)
- [Towards Low-Latency and Ultra-Reliable Virtual Reality](https://mlsanity.com/paper/1801.07587/) (2018)
- [Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven](https://mlsanity.com/paper/2201.01634/) (2022)
- [Will Metaverse be NextG Internet? Vision, Hype, and Reality](https://mlsanity.com/paper/2201.12894/) (2022)
- [Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G](https://mlsanity.com/paper/2108.05781/) (2021)
- [6G Mobile-Edge Empowered Metaverse: Requirements, Technologies, Challenges and Research Directions](https://mlsanity.com/paper/2211.04854/) (2022)

## Abstract (arXiv)

The Metaverse can be considered the extension of the present-day web, which integrates the physical and virtual worlds, delivering hyper-realistic user experiences. The inception of the Metaverse brings forth many ecosystem services such as content creation, social entertainment, in-world value transfer, intelligent traffic, healthcare. These services are compute-intensive and require computation offloading onto a Metaverse edge computing server (MECS). Existing Metaverse edge computing approaches do not efficiently and effectively handle resource allocation to ensure a fluid, seamless and hyper-realistic Metaverse experience required for Metaverse ecosystem services. Therefore, we introduce a new Metaverse-compatible, Unified, User and Task (UUT) centered artificial intelligence (AI)- based mobile edge computing (MEC) paradigm, which serves as a concept upon which future AI control algorithms could be built to develop a more user and task-focused MEC.