Addressing the Bandwidth Demand of Immersive Applications Through NFV in a 5G Network

Bujari, Armir; Gaggi, Ombretta; Luglio, M.; Palazzi, Claudio E.; Quadrio, Giacomo; Roseti, C.; Zampognaro, F.

doi:10.1007/s11036-020-01528-0

“…B5G and 6G enable a real-time, ubiquitous, and ultra-reliable communications for massive Metaverse devices with support for device-mobility, which can reach 1020 Gbps. [29].…”

Section: B Enabling Technologiesmentioning

confidence: 99%

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

dhelim¹,

Kechadi²,

Chen³

et al. 2022

Preprint

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The Metaverse is a virtual environment where users are represented by avatars to navigate a virtual world, which has strong links with the physical one. State-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering computation. Such centralized design is unfavorable as it suffers from several drawbacks caused by the long latency required for cloud access, such as low quality visualization. To solve this issue, in this paper, we propose a Fog-Edge hybrid computing architecture for Metaverse applications that leverage an edge-enabled distributed computing paradigm, which makes use of edge devices computing power to fulfil the required computational cost for heavy tasks such as collision detection in virtual universe and computation of 3D physics in virtual simulation. The computational cost related to an entity in the Metaverse such as collision detection or physics emulation are performed at the end-device of the associated physical entity. To prove the effectiveness of the proposed architecture, we simulate a distributed social metaverse application. Simulation results shows that the proposed architecture can reduce the latency by 50\% when compared with the legacy cloud-based Metaverse applications.

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“…B5G and 6G enable a real-time, ubiquitous, and ultra-reliable communications for massive metaverse devices with support for device-mobility, which can reach 1020 Gbps. [21].…”

Section: B Enabling Technologiesmentioning

confidence: 99%

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

dhelim¹,

Kechadi²,

Chen³

et al. 2022

Preprint

18

0

View full text Add to dashboard Cite

The Metaverse is a virtual environment where users are represented by avatars to navigate a virtual world, which has strong links with the physical one. State-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering computation. Such centralized design is unfavorable as it suffers from several drawbacks caused by the long latency required for cloud access, such as low quality visualization. To solve this issue, in this paper, we propose a Fog-Edge hybrid computing architecture for Metaverse applications that leverage an edge-enabled distributed computing paradigm, which makes use of edge devices computing power to fulfil the required computational cost for heavy tasks such as collision detection in virtual universe and computation of 3D physics in virtual simulation. The computational cost related to an entity in the Metaverse such as collision detection or physics emulation are performed at the end-device of the associated physical entity. To prove the effectiveness of the proposed architecture, we simulate a distributed social metaverse application. Simulation results shows that the proposed architecture can reduce the latency by 50\% when compared with the legacy cloud-based Metaverse applications.

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“…Massive data transmission can be efficiently supported by advances in communication technologies, e.g., massive multi-access multi-output (MIMO) technology, reconfigurable intelligent surfaces, mmWave, and semantic communication techniques. Beyond fifth-generation (B5G) and the sixthgeneration (6G) wireless communication network can provide a huge number of Metaverse devices with real-time, ubiquitous, seamless, and ultra-reliable communications [1].…”

Section: Introductionmentioning

confidence: 99%

Rethinking Quality of Experience for Metaverse Services: A Consumer-based Economics Perspective

Du¹,

Ma²,

Niyato³

et al. 2022

Preprint

2

0

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The Metaverse is considered to be one prototype of the next-generation Internet, which contains people's expectations for the future world. However, the academic discussion of the Metaverse still mainly focused on the system technical design, and few research studied Metaverse challenges from the perspective of consumers, i.e., Metaverse users. One difficulty is that the analysis from the consumer's perspective requires interdisciplinary theoretical framework and quantifiable Quality of Experience (QoE) measurements. In this article, pioneering from consumers' point of view, we explore an interaction between Metaverse system design and consumer behaviors. Specifically, we rethink the QoE and propose an interdisciplinary framework that encompasses both the Metaverse service providers (MSPs) and consumer considerations. From the macro perspective, we introduce a joint optimization scheme that simultaneously considers the Metaverse system design, consumers' utility, and profitability of the MSPs. From the micro perspective, we advocate the Willingness-to-Pay (WTP) as an easy-to-implement QoE measurement for future Metaverse system studies. To illustrate the usability of the proposed integrated framework, a use case of Metaverse, i.e., virtual traveling, is presented. We show that our framework can benefit the MSPs in offering competitive and economical service design to consumers while maximizing the profit.

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Addressing the Bandwidth Demand of Immersive Applications Through NFV in a 5G Network

Cited by 12 publications

References 29 publications

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing

Rethinking Quality of Experience for Metaverse Services: A Consumer-based Economics Perspective

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