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

Hu, Xiaoyan and Wong, Kai-Kit and Yang, Kun and Zheng, Zhongbin (2020) Task and Bandwidth Allocation for UAV-Assisted Mobile Edge Computing with Trajectory Design. In: GLOBECOM 2019 - 2019 IEEE Global Communications Conference, 2019-12-09 - 2019-12-13, Waikoloa, HI, USA.

1907.03862.pdf - Accepted Version

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2019 IEEE Global Communications Conference (GLOBECOM)
Uncontrolled Keywords: mobile edge computing; UAV; task allocation; bandwidth allocation; trajectory design
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 30 Mar 2020 10:59
Last Modified: 23 Sep 2022 19:38

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