Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions

Khan, Latif U.; Han, Zhu; Niyato, Dusit; Hossain, Ekram; Hong, Choong Seon

doi:10.48550/arxiv.2207.00413

Cited by 13 publications

(30 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A very recent survey [3] presents 6G-enabled edge AI for the Metaverse, but blockchain is not highlighted. In addition, [31] focuses on 6G for the Metaverse; [32] presents the Metaverse for wireless systems; and [33] explains edge-enabled Metaverse. Meanwhile, our work also considers the support of AI and blockchain for MEC in the context of 6G-enabled Metaverse.…”

Section: Convergence Of the Technologies: Ai And Blockchain Assisted ...mentioning

confidence: 99%

Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence

Wang¹,

Zhao²

2022

Preprint

View full text Add to dashboard Cite

With the advances of the Internet of Things (IoT) and 5G/6G wireless communications, the paradigms of mobile computing have developed dramatically in recent years, from centralized mobile cloud computing to distributed fog computing and mobile edge computing (MEC). MEC pushes computeintensive assignments to the edge of the network and brings resources as close to the endpoints as possible, addressing the shortcomings of mobile devices with regard to storage space, resource optimisation, computational performance and efficiency. Compared to cloud computing, as the distributed and closer infrastructure, the convergence of MEC with other emerging technologies, including the Metaverse, 6G wireless communications, artificial intelligence (AI), and blockchain, also solves the problems of network resource allocation, more network load as well as latency requirements. Accordingly, this paper investigates the computational paradigms used to meet the stringent requirements of modern applications. The application scenarios of MEC in mobile augmented reality (MAR) are provided. Furthermore, this survey presents the motivation of MEC-based Metaverse and introduces the applications of MEC to the Metaverse. Particular emphasis is given on a set of technical fusions mentioned above, e.g., 6G with MEC paradigm, MEC strengthened by blockchain, etc.

show abstract

Section: Convergence Of the Technologies: Ai And Blockchain Assisted ...mentioning

confidence: 99%

Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence

Wang¹,

Zhao²

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Emerging wireless applications, such as digital healthcare, intelligent transportation systems, Industry 4.0, and smart homes, are characterized by a wide variety of diverse userdefined metrics (e.g., quality of physical experience) and traditional metrics (e.g., latency and reliability) [1]. The existing wireless systems fall short of meeting these diverse requirements [2].…”

Section: Introductionmentioning

confidence: 99%

“…The existing wireless systems fall short of meeting these diverse requirements [2]. A metaverse can be used to enable a wireless system to meet a variety of requirements [1]. The metaverse has the potential to effectively enable proactive online-learning and self-sustainability for wireless systems.…”

Section: Introductionmentioning

confidence: 99%

“…A typical wireless system has a wide variety of players, such as edge/cloud computing resources, wireless resources, device computing resources, and core network resources. There is a There are two main aspects, wireless for metaverse and metaverse for wireless [1], [3]. The use of wireless technologies to enable the metaverse is referred to as wireless for the metaverse, whereas metaverse for wireless is the use of the metaverse to enable wireless applications.…”

Section: Introductionmentioning

confidence: 99%

“…To address these limitations, one can use ML for modeling (i.e., data-driven modeling) of meta space entities. Various works in literature considered metaverse [1], [3]- [5]. The work conducted in [4] presents the concept, recent advances, and open challenges.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Machine Learning for Metaverse-enabled Wireless Systems: Vision, Requirements, and Challenges

Khan¹,

Yaqoob²,

Hong³

et al. 2022

Preprint

View full text Add to dashboard Cite

Today's wireless systems are posing key challenges in terms of quality of service and quality of physical experience. Metaverse has the potential to reshape, transform, and add innovations to the existing wireless systems. A metaverse is a collective virtual open space that can enable wireless systems using digital twins, digital avatars, and interactive experience technologies. Machine learning (ML) is indispensable for modeling twins, avatars, and deploying interactive experience technologies. In this paper, we present the role of ML in enabling metaversebased wireless systems. We identify and discuss a set of key requirements for advancing ML in the metaverse-based wireless systems. Moreover, we present a case study of distributed split federated learning for efficiently training meta-space models. Finally, we discuss the future challenges along with potential solutions.

show abstract

The Potential of Metaverse Fundamentals, Technologies, and Applications: A Systematic Literature Review

Farooq,

Ishaq,

Shoaib

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Metaverse is a virtual world platform that enables users to create and explore 3D environments. Recently, this technology has gained traction due to its potential to revolutionize the way people interact and share information. This paper provides an overview of the current state of Metaverse technologies. It begins by introducing their core components and surveys recent research and development activities in the area. Next, the paper examines the potential applications of Metaverse technology in different domains, such as gaming, social networking, training, education, healthcare, and marketing. It then outlines the challenges and opportunities associated with the development and deployment of Metaverse technologies, including scalability, privacy, and security issues. Finally, the paper concludes with a discussion of the implications of Metaverse technologies for the future of digital communication and information sharing.

show abstract

Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions

Cited by 13 publications

References 15 publications

Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence

Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence

Machine Learning for Metaverse-enabled Wireless Systems: Vision, Requirements, and Challenges

The Potential of Metaverse Fundamentals, Technologies, and Applications: A Systematic Literature Review

Contact Info

Product

Resources

About