eprintid: 10204644
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/20/46/44
datestamp: 2025-02-12 13:52:41
lastmod: 2025-02-12 13:52:41
status_changed: 2025-02-12 13:52:41
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Hu, X
creators_name: Wen, P
creators_name: Xiao, H
creators_name: Wang, W
creators_name: Wong, KK
title: Maximizing Energy Charging for UAV-Assisted MEC Systems With SWIPT
ispublished: inpress
divisions: UCL
divisions: B04
divisions: F46
keywords: Mobile edge computing (MEC), simultaneous
wireless information and power transfer (SWIPT), unmanned
aerial vehicle (UAV)
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: A Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) scheme with simultaneous wireless information and power transfer (SWIPT) is proposed in this paper. Unlike existing MEC-WPT schemes that disregard the downlink period for returning computing results to the ground equipment (GEs), our proposed scheme actively considers and capitalizes on this period. By leveraging the SWIPT technique, the assistant UAV can simultaneously transmit energy and the computing results during the downlink period. In this scheme, our objective is to maximize the remaining energy among all GEs by jointly optimizing computing task scheduling, UAV transmit and receive beamforming, BS receive beamforming, GEs' transmit power and power splitting ratio for information decoding, time scheduling, and UAV trajectory. We propose an alternating optimization algorithm that utilizes the semidefinite relaxation (SDR), singular value decomposition (SVD), and fractional programming (FP) methods to effectively solve the non-convex problem. Numerous experiments validate the effectiveness of the proposed scheme.
date: 2025-01-01
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: https://doi.org/10.1109/tvt.2025.3530426
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2360024
doi: 10.1109/TVT.2025.3530426
lyricists_name: Wong, Kai-Kit
lyricists_id: KWONG98
actors_name: Wong, Kai-Kit
actors_id: KWONG98
actors_role: owner
full_text_status: public
publication: IEEE Transactions on Vehicular Technology
pagerange: 1-6
issn: 0018-9545
citation:        Hu, X;    Wen, P;    Xiao, H;    Wang, W;    Wong, KK;      (2025)    Maximizing Energy Charging for UAV-Assisted MEC Systems With SWIPT.                   IEEE Transactions on Vehicular Technology     pp. 1-6.    10.1109/TVT.2025.3530426 <https://doi.org/10.1109/TVT.2025.3530426>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10204644/1/Maximizing%20Energy%20Charging%20for%20UAV-assisted%20MEC%20Systems%20with%20SWIPT_Accepted.pdf