Toward an intelligent edge: wireless communication meets machine learning

Zhu, G., Liu, D. , Du, Y., You, C., Zhang, J. and Huang, K. (2020) Toward an intelligent edge: wireless communication meets machine learning. IEEE Communications Magazine, 58(1), pp. 19-25. (doi: 10.1109/MCOM.001.1900103)

Abstract

The recent revival of AI is revolutionizing almost every branch of science and technology. Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of intelligent applications will be deployed at the edge of wireless networks. This trend has generated strong interest in realizing an "intelligent edge" to support AI-enabled applications at various edge devices. Accordingly, a new research area, called edge learning, has emerged, which crosses and revolutionizes two disciplines: wireless communication and machine learning. A major theme in edge learning is to overcome the limited computing power, as well as limited data, at each edge device. This is accomplished by leveraging the mobile edge computing platform and exploiting the massive data distributed over a large number of edge devices. In such systems, learning from distributed data and communicating between the edge server and devices are two critical and coupled aspects, and their fusion poses many new research challenges. This article advocates a new set of design guidelines for wireless communication in edge learning, collectively called learning- driven communication. Illustrative examples are provided to demonstrate the effectiveness of these design guidelines. Unique research opportunities are identified.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Liu, Dr Dongzhu
• Authors: Zhu, G., Liu, D., Du, Y., You, C., Zhang, J., and Huang, K.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: IEEE Communications Magazine
• Publisher: IEEE
• ISSN: 0163-6804
• ISSN (Online): 1558-1896
• Published Online: 27 January 2020
• Copyright Holders: Copyright © 2020 IEEE
• First Published: First published in IEEE Communications Magazine 58(1):19-25
• Publisher Policy: Reproduced in accordance with the publisher copyright policy