MARS: a DRL-based Multi-task Resource Scheduling Framework for UAV with IRS-assisted Mobile Edge Computing System

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27235

Title:	MARS: a DRL-based Multi-task Resource Scheduling Framework for UAV with IRS-assisted Mobile Edge Computing System
Authors:	Jiang, F Peng, Y Wang, K Li, D Yang, K
Keywords:	mobile edge computing (MEC);intelligent re-flecting surface (IRS);unmanned aerial vehicle (UAV);deep reinforcement learning (DRL);resource scheduling
Issue Date:	19-Sep-2023
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Jiang, F. et al. (2023) 'MARS: a DRL-based Multi-task Resource Scheduling Framework for UAV with IRS-assisted Mobile Edge Computing System', IEEE Transactions on Cloud Computing, 11 (4), pp. 3700 - 3712. doi: 10.1109/TCC.2023.3307582.
URI:	https://bura.brunel.ac.uk/handle/2438/27235
DOI:	https://doi.org.10.1109/TCC.2023.3307582
Other Identifiers:	ORCID iD: Feibo Jiang https://orcid.org/0000-0002-0235-0253 ORCID iD: Yubo Peng https://orcid.org/0000-0001-9684-2971 ORCID iD: Kezhi Wang https://orcid.org/0000-0001-8602-0800 ORCID iD: Li Dong https://orcid.org/0000-0002-0127-8480 ORCID iD: Kun Yang https://orcid.org/0000-0002-6782-6689
Appears in Collections:	Dept of Computer Science Research Papers

Files in This Item:

File	Description	Size	Format
FullText.pdf	Copyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html	3.12 MB	Adobe PDF	View/Open