AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends

TL;DR

This paper provides a comprehensive survey of how AI and 6G technologies are shaping the development of the Metaverse, highlighting current progress, challenges, and future research directions.

Contribution

It offers an in-depth review of AI and 6G roles in the Metaverse, including technical aspects, applications, and identifying research gaps for future exploration.

Findings

AI enhances immersive experiences through deep learning and computer vision.

6G promises high-speed, low-latency connectivity essential for Metaverse applications.

Identifies key challenges and research gaps in integrating AI and 6G for the Metaverse.

Abstract

Since Facebook was renamed Meta, a lot of attention, debate, and exploration have intensified about what the Metaverse is, how it works, and the possible ways to exploit it. It is anticipated that Metaverse will be a continuum of rapidly emerging technologies, usecases, capabilities, and experiences that will make it up for the next evolution of the Internet. Several researchers have already surveyed the literature on artificial intelligence (AI) and wireless communications in realizing the Metaverse. However, due to the rapid emergence and continuous evolution of technologies, there is a need for a comprehensive and in-depth survey of the role of AI, 6G, and the nexus of both in realizing the immersive experiences of Metaverse. Therefore, in this survey, we first introduce the background and ongoing progress in augmented reality (AR), virtual reality (VR), mixed reality (MR) and spatial computing, followed by the technical aspects of AI and 6G. Then, we survey the role of AI in the Metaverse by reviewing the state-of-the-art in deep learning, computer vision, and Edge AI to extract the requirements of 6G in Metaverse. Next, we investigate the promising services of B5G/6G towards Metaverse, followed by identifying the role of AI in 6G networks and 6G networks for AI in support of Metaverse applications, and the need for sustainability in Metaverse. Finally, we enlist the existing and potential applications, usecases, and projects to highlight the importance of progress in the Metaverse. Moreover, in order to provide potential research directions to researchers, we underline the challenges, research gaps, and lessons learned identified from the literature review of the aforementioned technologies.