Hu, X;
Wong, KK;
Zheng, Z;
(2019)
Wireless-Powered Mobile Edge Computing with Cooperated UAV.
In: Gesbert, David, (ed.)
Proceedings of the 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019).
IEEE Xplore: New York, USA.
Preview |
Text
SPAWC2019_Wireless-Powered Mobile Edge Computing with Cooperated UAV.pdf - Accepted Version Download (221kB) | Preview |
Abstract
In this paper, we study a wireless-powered mobile edge computing (MEC) system, where the access point (AP) cooperates with an unmanned aerial vehicle (UAV). The AP broadcasts energy to the UAV, while the UAV broadcasts part of its harvested energy to the UEs and helps the UEs compute their offloaded tasks or further offload to the AP for computing. The weighted sum completed task-input bits (WSCTB) of UEs is maximized by optimizing the task allocation, the UAV's energy transmit power and trajectory, under the information-causality constraints, the energy-causality constraints, and the UAV's trajectory constraints. The formulated WSCTB maximization problem is non-convex, and a block coordinate descending algorithm is proposed to solve it iteratively. In the simulation results, the UAV's trajectory and the achieved performance are given to verify the effectiveness of the proposed algorithm in comparison with some practical baselines.
| Type: | Proceedings paper |
|---|---|
| Title: | Wireless-Powered Mobile Edge Computing with Cooperated UAV |
| Event: | 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019), 2-5 July 2019, Cannes, France |
| ISBN-13: | 9781538665282 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SPAWC.2019.8815415 |
| Publisher version: | https://doi.org/10.1109/SPAWC.2019.8815415 |
| 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, UAV, wireless power transfer, task allocation, trajectory optimization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science 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/10082569 |
Archive Staff Only
 |
View Item |
