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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 |
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