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Task and Bandwidth Allocation for UAV-Assisted Mobile Edge Computing with Trajectory Design

Hu, X; Wong, KK; Yang, K; Zheng, Z; (2020) Task and Bandwidth Allocation for UAV-Assisted Mobile Edge Computing with Trajectory Design. In: Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM). IEEE: Waikoloa, HI, USA. Green open access

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Abstract

In this paper, we investigate a mobile edge computing (MEC) architecture with the assistance of an unmanned aerial vehicle (UAV). The UAV acts as a computing server to help the user equipment (UEs) compute their tasks as well as a relay to further offload the UEs' tasks to the access point (AP) for computing. The total energy consumption of the UAV and UEs is minimized by jointly optimizing the task allocation, the bandwidth allocation and the UAV's trajectory, subject to the task constraints, the information-causality constraints, the bandwidth allocation constraints, and the UAV's trajectory constraints. The formulated optimization problem is nonconvex, and we propose an alternating algorithm to optimize the parameters iteratively. The effectiveness of the algorithm is verified by the simulation results, where great performance gain is achieved in comparison with some practical baselines, especially in handling the computation- intensive and latency-critical tasks.

Type: Proceedings paper
Title: Task and Bandwidth Allocation for UAV-Assisted Mobile Edge Computing with Trajectory Design
Event: 2019 IEEE Global Communications Conference (GLOBECOM)
ISBN-13: 978-1-7281-0962-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/GLOBECOM38437.2019.9014282
Publisher version: https://doi.org/10.1109/GLOBECOM38437.2019.9014282
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: Task analysis, Unmanned aerial vehicles, Energy consumption, Trajectory, Computer architecture, Servers, Resource management
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/10094223
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