Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems

Metaverse is envisioned as the next-generation paradigm that links a virtual world to the physical world, providing immersive experience for human activities in the hypothetical environment with augmented reality (AR) and virtual reality (VR) technology. Recent development of wireless multiaccess ed...

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Main Authors: Hongliang Zhang, Shiwen Mao, Dusit Niyato, Zhu Han
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10007642/
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author Hongliang Zhang
Shiwen Mao
Dusit Niyato
Zhu Han
author_facet Hongliang Zhang
Shiwen Mao
Dusit Niyato
Zhu Han
author_sort Hongliang Zhang
collection DOAJ
description Metaverse is envisioned as the next-generation paradigm that links a virtual world to the physical world, providing immersive experience for human activities in the hypothetical environment with augmented reality (AR) and virtual reality (VR) technology. Recent development of wireless multiaccess edge computing (MEC) has accelerated the realization of this vision. In this paper, we consider location-dependent AR services in MEC-enabled Metaverse systems. In such a system, each user performs simultaneous localization and communication first to estimate its position and request AR contents from the MEC server. Due to limited computation and communication resources, the MEC server adaptively adjusts the resolution of AR contents. However, two challenges arise in such a system. First, the localization error will degrade the user’s quality-of-experience (QoE); and second, the coupling of communication and computation complicates the resource management. To address these issues, we first model the QoE taking the localization errors into consideration, and then propose a minimum QoE maximization scheme to achieve fairness among users by jointly optimizing the waveform at users, the transmit power at the base station (BS), and the resolution of transmitted videos. Simulation results verify the effectiveness of the proposed scheme in comparison with benchmark schemes.
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spelling doaj.art-e5bf61f593ce4fd2a24201c526496e8b2023-02-21T00:03:50ZengIEEEIEEE Open Journal of the Communications Society2644-125X2023-01-01417118310.1109/OJCOMS.2023.323425410007642Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse SystemsHongliang Zhang0https://orcid.org/0000-0003-3393-8612Shiwen Mao1https://orcid.org/0000-0002-7052-0007Dusit Niyato2https://orcid.org/0000-0002-7442-7416Zhu Han3https://orcid.org/0000-0002-6606-5822School of Electronics, Peking University, Beijing, ChinaDepartment of Electrical and Computer Engineering, Auburn University, Auburn, AL, USASchool of Computer Science and Engineering, Nanyang Technological University, Jurong West, SingaporeDepartment of Electrical and Computer Engineering, University of Houston, Houston, TX, USAMetaverse is envisioned as the next-generation paradigm that links a virtual world to the physical world, providing immersive experience for human activities in the hypothetical environment with augmented reality (AR) and virtual reality (VR) technology. Recent development of wireless multiaccess edge computing (MEC) has accelerated the realization of this vision. In this paper, we consider location-dependent AR services in MEC-enabled Metaverse systems. In such a system, each user performs simultaneous localization and communication first to estimate its position and request AR contents from the MEC server. Due to limited computation and communication resources, the MEC server adaptively adjusts the resolution of AR contents. However, two challenges arise in such a system. First, the localization error will degrade the user’s quality-of-experience (QoE); and second, the coupling of communication and computation complicates the resource management. To address these issues, we first model the QoE taking the localization errors into consideration, and then propose a minimum QoE maximization scheme to achieve fairness among users by jointly optimizing the waveform at users, the transmit power at the base station (BS), and the resolution of transmitted videos. Simulation results verify the effectiveness of the proposed scheme in comparison with benchmark schemes.https://ieeexplore.ieee.org/document/10007642/Metaverselocation-dependent augmented realitymulti-access edge computingresource management
spellingShingle Hongliang Zhang
Shiwen Mao
Dusit Niyato
Zhu Han
Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems
IEEE Open Journal of the Communications Society
Metaverse
location-dependent augmented reality
multi-access edge computing
resource management
title Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems
title_full Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems
title_fullStr Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems
title_full_unstemmed Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems
title_short Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems
title_sort location dependent augmented reality services in wireless edge enabled metaverse systems
topic Metaverse
location-dependent augmented reality
multi-access edge computing
resource management
url https://ieeexplore.ieee.org/document/10007642/
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AT shiwenmao locationdependentaugmentedrealityservicesinwirelessedgeenabledmetaversesystems
AT dusitniyato locationdependentaugmentedrealityservicesinwirelessedgeenabledmetaversesystems
AT zhuhan locationdependentaugmentedrealityservicesinwirelessedgeenabledmetaversesystems