The Role of Network Slicing and Edge Computing in the Metaverse Realization

Karunarathna, Supun; Wijethilaka, Shalitha; Ranaweera, Pasika; Hemachandra, Kasun T.; Samarasinghe, Tharaka; Liyanage, Madhusanka

doi:10.1109/access.2023.3255510

Cited by 20 publications

(2 citation statements)

References 115 publications

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“…Its resonance has become even stronger in a world affected by the COVID-19 pandemic (Karunarathna et al, 2023) where the need for meaningful virtual connections and richer online experiences has increased significantly. As most industries move towards digitalization, the metaverse emerges as a promising platform for this transition by offering an immersive threedimensional (3D) experience for users (Kuru, 2023).…”

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confidence: 99%

Blockchain paradigm in the metaverse

Arteaga Medranda,

Alcívar Cedeño,

Arteaga Delgado

et al. 2023

COCIRI

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Blockchain technology is currently a technology that is being widely used in various sectors, one of the fields where it is being widely used is the metaverse, which is another booming technology. These two technologies are closely related and play an essential role in technological progress in various areas, such as education, medicine and teleworking. For this reason, it was decided to carry out an investigation which would explain how blockchain technology is being applied within the metaverse. To carry out this research, the Prisma method was used, which facilitated the completion of an appropriate investigation following the established criteria. Three databases were consulted: Scopus, IEEE Xplore and ACM, in which the specific search strings for each database were applied and the articles used to carry out this systematic review were obtained. In this study, it was possible to expand the general concepts of blockchain and metaverse. The structure of the blockchain was detailed and other structures proposed by several authors were presented, such as HCNCT, MIS, FileInsurer and BlockNet. The use of blockchain in the metaverse was also addressed, describing its purpose and how it is being used to improve various aspects, such as security, data storage, transactions, and economics. Likewise, the current use of Blockchain in technologies such as NFTs and cryptocurrencies was explored. Finally, we delved into how the blockchain is an essential component of the metaverse, especially when it comes to the security of virtual worlds

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Section: )mentioning

confidence: 99%

Blockchain paradigm in the metaverse

Arteaga Medranda,

Alcívar Cedeño,

Arteaga Delgado

et al. 2023

COCIRI

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“…To cope with these challenges, network slicing, which is empowered by the emerging software-defined networking (SDN) and network function virtualization (NFV) technologies, aims at building multiple virtual logically independent networks by constructing flexible and highly adaptable communication networks. Network slicing has achieved great progress in supporting specific demands of customers [4], [5], industries [6], and emerging applications [7]- [9] and is witnessed as a key technology for supporting specific demands in 6G networks.…”

Section: Introductionmentioning

confidence: 99%

Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6G Mobile Networks

Ming,

Yu,

Taleb

2024

IEEE Trans. on Mobile Comput.

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Network slices are generally coupled with services and face service continuity/unavailability concerns due to the high mobility and dynamic requests from users. Network slice mobility (NSM), which considers user mobility, service migration, and resource allocation from a holistic view, is witnessed as a key technology in enabling network slices to respond quickly to service degradation. Existing studies on NSM either ignored the trigger detection before NSM decision-making or didn't consider the prediction of future system information to improve the NSM performance, and the training of deep reinforcement learning (DRL) agents also faces challenges with incomplete observations. To cope with these challenges, we consider that network slices migrate periodically and utilize the prediction of system information to assist NSM decision-making. The periodical NSM problem is further transformed into a Markov decision process, and we creatively propose a prediction-based federated DRL framework to solve it. Particularly, the learning processes of the prediction model and DRL agents are performed in a federated learning paradigm. Based on extensive experiments, simulation results demonstrate that the proposed scheme outperforms the considered baseline schemes in improving long-term profit, reducing communication overhead, and saving transmission time.

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2024

Edge Computing Acceleration

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The Role of Network Slicing and Edge Computing in the Metaverse Realization

Cited by 20 publications

References 115 publications

Blockchain paradigm in the metaverse

Blockchain paradigm in the metaverse

Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6G Mobile Networks

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