Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 9, Issue 6, Pages 750-754Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2019.2950250
Keywords
Energy consumption; Servers; Object detection; Energy resolution; Image resolution; Batteries; Wireless communication; Augmented reality; energy efficiency; mobile edge computing; object detection; optimization
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Funding
- IT R&D Program of MSIT/Institute for Information & Communications Technology Promotion (IITP) (Development of Trusted Reality Core Technology for the era of Post Smartphone) [2018-0-00226]
- Basic Science Research Program of the National Research Foundation of South Korea [NRF-2018R1C1B6001849]
- IITP grant - Korea Government (MSIT, Development of Autonomous Collaborative Swarm Intelligence Technologies for Disposable IoT Devices) [2018-0-00691]
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This letter proposes a novel resolution and power control scheme for energy-efficient mobile augmented reality (MAR) services through computation offloading to mobile edge computing (MEC). For this purpose, analytical models for the energy consumption of a MAR device (MD), detection accuracy of MAR objects, and service latency are rigorously formulated. Considering their tradeoff in MAR with MEC, a theoretical framework for the computation offloading problem of the MD that jointly optimizes the transmission power and frame resolution is designed. The proposed scheme significantly reduces energy consumption by 73.64% with an accuracy loss of 1.6% while guaranteeing the required latency constraint.
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