Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25933
Title: Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing
Authors: Wang, L
Wang, K
Pan, C
Xu, W
Aslam, N
Nallanathan, A
Issue Date: 16-Feb-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
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.
URI: https://bura.brunel.ac.uk/handle/2438/25933
DOI: https://doi.org/10.1109/TMC.2021.3059691
ISSN: 1536-1233
Other Identifiers: 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.
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 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.html910.1 kBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.