Behind the Scenes of Successful Metaverse User Traversal
The evolution of augmented and virtual reality (AR/VR) technologies has created the Metaverse, a digital ecosystem that provides an interactive environment in an immersive manner. Ensuring precise and reliable user localization is crucial for seamless experiences and maintaining the integrity of this virtual environment. High-accuracy localization in the Metaverse relies on a robust system of anchors, which provide real-time positioning data using radio frequency (RF) signals. This beacon-based approach offers greater precision and reliability compared to traditional visual-based methods. In this article, we present GUIDE: Geolocation in the Metaverse Using Intelligent Deployment of 5G Femtocells, a novel framework that determines the optimal number and placement of femtocells in a Metaverse environment for providing users with high-accuracy localization. To solve the NP-hard problem of femtocell placement, we transform it into a mixed integer programming (MIP) problem. Next, using evolutionary algorithms (EAs), GUIDE determines the minimal number of 5G femtocells required to achieve complete coverage and accurate real-time tracking of Metaverse users. Our evaluation presents simulation results that validate the effectiveness of the proposed system. Ultimately, the findings demonstrate that GUIDE provides a cost-effective solution for high-resolution localization of Metaverse users (MUs) in a three-dimensional indoor environment by determining the minimum number of femtocells required to support a given action space.
Authors
- Tolga Atalay (ORCID: https://orcid.org/0000-0002-9195-4007)
- Alireza Famili (ORCID: https://orcid.org/0000-0002-0617-5851)
- Angelos Stavrou (ORCID: https://orcid.org/0000-0001-9888-0592)
Institutions
- Virginia Tech (US)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1109/imeta62882.2024.10808087
- Citations
- 1
- Primary Topic
- Diverse Topics in Contemporary Research
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities