Hu, X;
Wong, K-K;
Zhang, Y;
(2020)
Wireless-Powered Edge Computing With Cooperative UAV: Task, Time Scheduling and Trajectory Design.
IEEE Transactions on Wireless Communications
, 19
(12)
pp. 8083-8098.
10.1109/TWC.2020.3019097.
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Abstract
A wireless-powered mobile edge computing (MEC) architecture with the cooperation between an access point (AP) and an unmanned aerial vehicle (UAV) is studied in this article. The AP, powered by the grid, is integrated with a high-performance processing server to help compute the user equipment’s (UEs’) offloaded tasks while also performing high-power laser-like energy charging for the UAV. The UAV serves as (1) an information relay to help the UEs offload/download their computation tasks/results, (2) an energy relay to broadcast energy from the AP to the UEs, as well as (3) an MEC server to help the UEs compute their tasks. We aim at maximizing the weighted sum completed task-input bits (WSCTB) of UEs under the task and time allocation, information-causality, energy-causality, and the UAV’s trajectory constraints, by jointly optimizing the task and time allocation as well as the UAV’s energy transmit power and trajectory. The formulated WSCTB maximization problem is non-convex, and we propose a three-step block coordinate descending algorithm to address three sub-problems iteratively for obtaining a proper solution. Simulation results show that the UAV’s trajectories highly depend on the AP’s location and the UEs’ weight values. In addition, significant performance improvement is achieved by the proposed algorithm compared to some practical benchmarks.
| Type: | Article |
|---|---|
| Title: | Wireless-Powered Edge Computing With Cooperative UAV: Task, Time Scheduling and Trajectory Design |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TWC.2020.3019097 |
| Publisher version: | https://doi.org/10.1109/TWC.2020.3019097 |
| 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: | Science & Technology, Technology, Engineering, Electrical & Electronic, Telecommunications, Engineering, Task analysis, Trajectory, Unmanned aerial vehicles, Resource management, Servers, Computer architecture, Relays, Mobile edge computing, UAV, wireless power transfer, resource allocation, trajectory design, RESOURCE-ALLOCATION, MOBILE, COMMUNICATION, ARCHITECTURE, NETWORKS |
| 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/10117975 |
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