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http://bura.brunel.ac.uk/handle/2438/25933Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, L | - |
| dc.contributor.author | Wang, K | - |
| dc.contributor.author | Pan, C | - |
| dc.contributor.author | Xu, W | - |
| dc.contributor.author | Aslam, N | - |
| dc.contributor.author | Nallanathan, A | - |
| dc.date.accessioned | 2023-02-07T19:12:52Z | - |
| dc.date.available | 2023-02-07T19:12:52Z | - |
| dc.date.issued | 2021-02-16 | - |
| dc.identifier | ORCID iDs: Liang Wang https://orcid.org/0000-0002-1566-9546; Kezhi Wang https://orcid.org/0000-0001-8602-0800; Cunhua Pan https://orcid.org/0000-0001-5286-7958; Wei Xu https://orcid.org/0000-0001-9341-8382; Nauman Aslam https://orcid.org/0000-0002-9500-3970; Arumugam Nallanathan https://orcid.org/0000-0001-8337-5884. | - |
| dc.identifier.citation | Wang, L. et al. (2022) 'Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing', IEEE Transactions on Mobile Computing, 21 (10), pp. 3536 - 3550. doi: 10.1109/TMC.2021.3059691. | - |
| dc.identifier.issn | 1536-1233 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/25933 | - |
| dc.format.extent | 3536 - 3550 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | - |
| dc.rights | Copyright © 2021 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. See: https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.title | Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing | - |
| dc.type | Journal Article | - |
| dc.identifier.doi | https://doi.org/10.1109/TMC.2021.3059691 | - |
| dc.relation.isPartOf | IEEE Transactions on Mobile Computing | - |
| pubs.issue | 10 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 21 | - |
| dc.identifier.eissn | 1558-0660 | - |
| dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2021 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. See: https://www.ieee.org/publications/rights/rights-policies.html | 910.1 kB | Adobe PDF | View/Open |
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