@inproceedings{6584657abb944ca2a7b44c78858a5a00,
title = "Energy-efficient UAV-based Edge Computing Systems for XR Applications",
abstract = "In this paper, we propose an energy-efficient unmanned aerial vehicle (UAV)-based mobile edge computing system to minimize the total energy consumption of mobile users (MUs) using X-Reality (XR) applications. Specifically, based on the characteristics of XR that have elements in common with neighboring users, we jointly optimize the UAV's trajectory and resources for communication and computation, whose performances are verified via simulations.",
keywords = "Edge computing, X-Reality (XR), energy minimization, resource allocation, trajectory, unmanned aerial vehicle (UAV)",
author = "Jaewoo Jung and Seongah Jeong",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 ; Conference date: 11-10-2023 Through 13-10-2023",
year = "2023",
doi = "10.1109/ICTC58733.2023.10392372",
language = "English",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "1390--1393",
booktitle = "ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence",
address = "United States",
}
