mlsanityData to 7 Oct 2026

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

arXiv 2208.10921 ↗First posted 23 Aug 2022cs.AI cs.HC cs.NIcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 82 of its 322 references that are in the map. First posted on arXiv 23 Aug 2022.

Builds on

82 of 322 references.

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38 more
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50 most cited of 82 All 82 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 3; 2025: 1; 2026: 1.

8 papers.

  1. 2023ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Reviewcited by 28
  2. 2023The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directionscited by 3
  3. 2025When Generative Artificial Intelligence meets Extended Reality: A Systematic Reviewcited by 1
  4. 2023FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfercited by 0
  5. 2024Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimizationcited by 0
  6. 2024Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaversecited by 0
  7. 2024Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learningcited by 0
  8. 2026Equitable Multi-Task Learning for AI-RANscited by 0