A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges
By Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusist Niyato, Qiang Yang, Xuemin Shen, Chunyan Miao. IEEE Communications Surveys and Tutorials, 2022
468 citations recorded by the source corpus.
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, as well as computation perspectives, the Metaverse is difficult to succeed the Internet, especially in terms of its accessibility to billions of users today. In this survey, we focus on the edge-enabled Metaverse to realize its ultimate vision. We first provide readers with a succinct tutorial of the Metaverse, an introduction to the architecture, as well as current developments. To enable ubiquitous, seamless, and embodied access to the Metaverse, we discuss the communication and networking challenges and survey cutting-edge solutions and concepts that leverage next-generation communication systems for users to immerse as and interact with embodied avatars in the Metaverse. Moreover, given the high computation costs required, e.g., to render 3D virtual worlds and run data-hungry artificial intelligence-driven avatars, we discuss the computation challenges and cloud-edge-end computation framework-driven solutions to realize the Metaverse on resource-constrained edge devices. Next, we explore how blockchain technologies can aid in the interoperable development of the Metaverse, not just in terms of empowering the economic circulation of virtual user-generated content but also to manage physical edge resources in a decentralized, transparent, and immutable manner. Finally, we discuss the future research directions towards realizing the true vision of the edge-enabled Metaverse.
Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/4c397c32fe121f32445bb5ca90e3a8d07b9e785e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Rui Xing
- Yuntao Wang
- X. Shen
- Zhou Su
- Dongxiao Liu
- Ning Zhang
- T. Luan
Citations in the corpus
- Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions (2022, unknown): “channels: blockchain, digital twins and telemedicines [204].”
- Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services (2023, unknown): “(cid:129) We initially offer a tutorial that establishes the definition, lifecycle, models, and metrics of AIGC services. issues from the perspectives of networking and computing, machine learning (ML), and practical implementation considerations, respectively.”
- Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022, unknown): “Just as we navigate the web pages of today’s Internet, we will soon explore the virtual worlds of Metaverse through a head-mounted display (HMD) or navigate the augmented physical world through Augmented Reality (AR) glasses.”
- A Survey on Metaverse: Fundamentals, Security, and Privacy (2022, methodology): “4) Metaverse Engine: The metaverse engine [19] uses the big data from the real world as inputs to generate, maintain, and update the virtual world via the interactivity, AI, digital”