Efficient Task Offloading for Multi-Access Edge Computing via Intelligent Reflecting Surface
Document Type
Article
Source of Publication
IEEE Communications Magazine
Publication Date
12-11-2025
Abstract
With the widespread and rapid deployment of big data services and technologies like the Internet of Things (IoT) and 5G Advanced, users have become accustomed to applications that demand higher energy consumption and lower latency. As a result, alleviating the computing and communication burdens on user devices, while also addressing concerns related to cost and complexity, has become a major challenge. To tackle these challenges, this article studies the task offloading problem in Intelligent Reflecting Surface (IRS)-assisted Multi-Access Edge Computing (MEC) networks in different scenarios, aiming to enhance the synergy between IRS and MEC. Firstly, we introduce an IRS-assisted MEC network. Secondly, we propose several optimization models for the IRS phase shift coefficient matrix. Finally, we highlight the advantages of the IRS in enhancing MEC communication through a simple experiment.
DOI Link
ISSN
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
64
Issue
1
First Page
108
Last Page
114
Disciplines
Computer Sciences
Keywords
Computer science (0.88), Mobile edge computing (0.65), Software deployment (0.65), Edge computing (0.59), Distributed computing (0.58), Task (project management) (0.57), Energy consumption (0.49), Enhanced Data Rates for GSM Evolution (0.48), Computer network (0.47), Simple (philosophy) (0.45), Big data (0.4), Internet of Things (0.38), The Internet (0.35), Key (lock) (0.35), Server (0.33), Task analysis (0.33), Mobile telephony (0.32), Mobile computing (0.31), Optimization problem (0.31), Cloud computing (0.31), Efficient energy use (0.3), Edge device (0.3), Computation offloading (0.28), Intelligent Network (0.26), Base station (0.26), Communications system (0.25)
Scopus ID
Recommended Citation
Du, Junhui; Wu, Huaming; Al-Dulaimi, Anwer; and Mumtaz, Shahid, "Efficient Task Offloading for Multi-Access Edge Computing via Intelligent Reflecting Surface" (2025). All Works. 7878.
https://zuscholars.zu.ac.ae/works/7878
Indexed in Scopus
yes
Open Access
no