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.
| Original language | English |
|---|---|
| Title of host publication | ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence |
| Subtitle of host publication | Exploring the Frontiers of ICT Innovation |
| Publisher | IEEE Computer Society |
| Pages | 1390-1393 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350313277 |
| DOIs | |
| State | Published - 2023 |
| Event | 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of Duration: 11 Oct 2023 → 13 Oct 2023 |
Publication series
| Name | International Conference on ICT Convergence |
|---|---|
| ISSN (Print) | 2162-1233 |
| ISSN (Electronic) | 2162-1241 |
Conference
| Conference | 14th International Conference on Information and Communication Technology Convergence, ICTC 2023 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 11/10/23 → 13/10/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Edge computing
- X-Reality (XR)
- energy minimization
- resource allocation
- trajectory
- unmanned aerial vehicle (UAV)
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