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A Survey on Mobile Augmented Reality with 5G Mobile Edge Computing: Architectures, Applications and Technical Aspects
Date Issued
2021-02-25
Date Available
2021-04-15T15:36:05Z
Abstract
The Augmented Reality (AR) technology enhances the human perception of the world by combining the real environment with the virtual space. With the explosive growth of powerful, less expensive mobile devices, and the emergence of sophisticated communication infrastructure, Mobile Augmented Reality (MAR) applications are gaining increased popularity. MAR allows users to run AR applications on mobile devices with greater mobility and at a lower cost. The emerging 5G communication technologies act as critical enablers for future MAR applications to achieve ultra-low latency and extremely high data rates while Multi-access Edge Computing (MEC) brings enhanced computational power closer to the users to complement MAR. This paper extensively discusses the landscape of MAR through the past and its future prospects with respect to the 5G systems and complementary technology MEC. The paper especially provides an informative analysis of the network formation of current and future MAR systems in terms of cloud, edge, localized, and hybrid architectural options. The paper discusses key application areas for MAR and their future with the advent of 5G technologies. The paper also discusses the requirements and limitations of MAR technical aspects such as communication, mobility management, energy management, service offloading and migration, security, and privacy and analyzes the role of 5G technologies.
Sponsorship
Enterprise Ireland
European Commission
European Commission Horizon 2020
Irish Research Council
Science Foundation Ireland
University College Dublin
Other Sponsorship
Business Finland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Communications Surveys & Tutorials
Volume
23
Issue
2
Start Page
1160
End Page
1192
Language
English
Status of Item
Peer reviewed
ISSN
1553-877X
This item is made available under a Creative Commons License
File(s)
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Name
COMST_MEC_MAR_Survey_Journal__Revision1_ (1).pdf
Size
5.21 MB
Format
Adobe PDF
Checksum (MD5)
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