The Library
Resource allocation in UAV-enabled wireless powered MEC networks with hybrid passive and active communications
Tools
Li, Qian, Shi, Liqin, Zhang, Zhongjun and Zheng, Gan (2023) Resource allocation in UAV-enabled wireless powered MEC networks with hybrid passive and active communications. IEEE Internet of Things Journal, 10 (3). pp. 2574-2588. doi:10.1109/jiot.2022.3214539 ISSN 2327-4662.
|
PDF
WRAP-Resource-allocation-UAV-enabled-wireless-MEC-networks-hybrid-communications-22.pdf - Accepted Version - Requires a PDF viewer. Download (863Kb) | Preview |
Official URL: https://doi.org/10.1109/JIOT.2022.3214539
Abstract
This paper proposes a novel unmanned aerial vehicle (UAV) enabled wireless powered mobile edge computing (WP-MEC) network, where several Internet of Things (IoT) nodes use the energy harvested from the UAV’s radio frequency signals to support the local computation and the hybrid active-passive communications based task offloading. Two weighted sum computation bits maximization problems are formulated under the partial and binary offloading, respectively, by jointly optimizing the local computing frequencies and time, the IoT nodes’ reflection coefficients, the IoT nodes’ transmit powers, the UAV’s trajectory, etc., subject to the quality-of-service and energy-causality constraints per IoT node, the speed constraint of the UAV, etc. Since the formulated problems are highly non-convex, two iterative algorithms are proposed to solve the formulated problems under two modes. Simulation results demonstrate that the proposed iterative algorithms have a fast convergence rate, and the proposed schemes achieve higher weighted sum computation bits than several baseline schemes.
Item Type: | Journal Article | ||||||||
---|---|---|---|---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
SWORD Depositor: | Library Publications Router | ||||||||
Journal or Publication Title: | IEEE Internet of Things Journal | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 2327-4662 | ||||||||
Official Date: | 1 February 2023 | ||||||||
Dates: |
|
||||||||
Volume: | 10 | ||||||||
Number: | 3 | ||||||||
Page Range: | pp. 2574-2588 | ||||||||
DOI: | 10.1109/jiot.2022.3214539 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 2022 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. | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Copyright Holders: | IEEE | ||||||||
Date of first compliant deposit: | 12 December 2022 | ||||||||
Date of first compliant Open Access: | 12 December 2022 | ||||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year