Enabling Edge Computing in 5G for Mobile Augmented Reality

Dublin Core

Title

Enabling Edge Computing in 5G for Mobile Augmented Reality

Subject

MAR, AR, 5G, edge computing, bandwidth limitation, latency.

Description

Mobile Augmented Reality is scoring more reputation due to the progression in the clever smartphones that include characteristics and hardware needs for integrating AR. MAR offers an exclusive knowledge in which the physical world is enhanced by virtual remarks. It also incorporates computationally intensive techniques that might be divested to edge servers on 5G systems, improving MAR by reducing communication latency and ensuring more robust network links, resulting in unified mobile augmented reality user experiences. Edge computing is one of the probable 5G technologies that could deliver content and processing resources familiar to the users, lowering latency and backhaul load. We presented a MAR structure situated on a 5G edge computing and latency results. Offer higher bandwidth while edge servers completely scale down the network restrictions to reduce the bandwidth severity of the network by operating closer to the user. This paper aims to address the 5G edge computing arrangement to aid consistent MAR and finding protocol for enhanced quality of experience (QoE) for MAR applications.

Creator

Yaakob, Mazri
Anas A. Salameh
Othman Mohamed
Mohd Asrul Hery Ibrahim

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 23-30
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2022-07-26

Rights

Copyright (c) 2022 Mazri, Anas A. Salameh, Othman Mohamed, Mohd Asrul Hery Ibrahim
https://creativecommons.org/licenses/by/4.0

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Mazri Yaakob et al., Enabling Edge Computing in 5G for Mobile Augmented Reality, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 25, 2024, https://igi.indrastra.com/items/show/2351

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