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.
(In press).
Preview |
Text
Maximizing Energy Charging for UAV-assisted MEC Systems with SWIPT_Accepted.pdf - Accepted Version Download (441kB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | Maximizing Energy Charging for UAV-Assisted MEC Systems With SWIPT |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TVT.2025.3530426 |
| Publisher version: | https://doi.org/10.1109/tvt.2025.3530426 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Mobile edge computing (MEC), simultaneous wireless information and power transfer (SWIPT), unmanned aerial vehicle (UAV) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10204644 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
