Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks

Yang, Zhaohui, Pan, Cunhua, Wang, Kezhi and Shikh-Bahaei, Mohammad (2019) Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks. IEEE Transactions on Wireless Communications, 18 (9). pp. 4576-4589. ISSN 1536-1276

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Yang et al - Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks AAM.pdf - Accepted Version

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Official URL: https://doi.org/10.1109/twc.2019.2927313

Abstract

In this paper, we consider the sum power minimization problem via jointly optimizing user association, power control, computation capacity allocation, and location planning in a mobile edge computing (MEC) network with multiple unmanned aerial vehicles (UAVs). To solve the nonconvex problem, we propose a low-complexity algorithm with solving three subproblems iteratively. For the user association subproblem, the compressive sensing-based algorithm is accordingly proposed. For the computation capacity allocation subproblem, the optimal solution is obtained in closed form. For the location planning subproblem, the optimal solution is effectively obtained via one-dimensional search method. To obtain a feasible solution for this iterative algorithm, a fuzzy c-means clustering-based algorithm is proposed. The numerical results show that the proposed algorithm achieves better performance than the conventional approaches.

Item Type: Article
Uncontrolled Keywords: Unmanned aerial vehicle-enabled communication, mobile edge computing, resource allocation, user association, location optimization
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 05 Jul 2019 09:06
Last Modified: 11 Oct 2019 13:36
URI: http://nrl.northumbria.ac.uk/id/eprint/39868

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