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A Novel Joint Mobile Cache and Power Management Scheme for Energy-Efficient Mobile Augmented Reality Service in Mobile Edge Computing

Authors
Seo, Yong-junLee, JoohyungHwang, JungyeonNiyato, DusitPark, Hong-shikChoi, Jun Kyun
Issue Date
May-2021
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Analytical models; Augmented reality; Batteries; cache management.; Computational modeling; Energy consumption; energy efficiency; mobile edge computing; Object detection; object detection; Servers; Wireless communication
Citation
IEEE Wireless Communications Letters, v.10, no.5, pp.1061 - 1065
Journal Title
IEEE Wireless Communications Letters
Volume
10
Number
5
Start Page
1061
End Page
1065
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81125
DOI
10.1109/LWC.2021.3057114
ISSN
2162-2337
Abstract
In this letter, we propose a novel joint mobile cache and power management scheme for energy-efficient mobile augmented reality (MAR) services in mobile edge computing (MEC). For this purpose, depending on whether the cache is hit or not, analytical models for 1) the energy consumption of an MAR device (MD) and 2) the service latency for the MAR are derived and investigated. Considering a tradeoff between energy and service latency in terms of the cache size in MAR with MEC, we design a theoretical framework for the mobile cache management of the MD to optimize the mobile cache size as well as transmission power while guaranteeing the required service latency. From the numerical experiments, we evaluate the performance of the proposed scheme and demonstrate insights regarding the optimization of the performance of MEC-assisted MAR services with a mobile cache. IEEE
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College of IT Convergence (Department of Software)
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