Open Access

ARTICLE

Energy Efficiency Maximization in Mobile Edge Computing Networks via IRS assisted UAV Communications

Ying Zhang¹, Weiming Niu², Supu Xiu^1,3, Guangchen Mu^3,*

1 School of Electronic Information Engineering, Henan Institute of Technology, Xinxiang, 453003, China
2 Houde College, Henan Institute of Technology, Xinxiang, 453003, China
3 Department of Science, Henan Institute of Technology, Xinxiang, 453003, China

* Corresponding Author: Guangchen Mu. Email:

(This article belongs to the Special Issue: Edge Computing Enabled Internet of Drones)

Computer Modeling in Engineering & Sciences 2024, 138(2), 1865-1884. https://doi.org/10.32604/cmes.2023.030114

Received 22 March 2023; Accepted 16 June 2023; Issue published 17 November 2023

Abstract

In this paper, we investigate the energy efficiency maximization for mobile edge computing (MEC) in intelligent reflecting surface (IRS) assisted unmanned aerial vehicle (UAV) communications. In particular, UAV can collect the computing tasks of the terrestrial users and transmit the results back to them after computing. We jointly optimize the users’ transmitted beamforming and uploading ratios, the phase shift matrix of IRS, and the UAV trajectory to improve the energy efficiency. The formulated optimization problem is highly non-convex and difficult to be solved directly. Therefore, we decompose the original problem into three sub-problems. We first propose the successive convex approximation (SCA) based method to design the beamforming of the users and the phase shift matrix of IRS, and apply the Lagrange dual method to obtain a closed-form expression of the uploading ratios. For the trajectory optimization, we propose a block coordinate descent (BCD) based method to obtain a local optimal solution. Finally, we propose the alternating optimization (AO) based overall algorithm and analyzed its complexity to be equivalent or lower than existing algorithms. Simulation results show the superiority of the proposed method compared with existing schemes in energy efficiency.

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Keywords

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