Wireless Communications and Mobile Computing

Edge Intelligence for 6G-enabled Industrial Internet of Things

Publishing date
01 Oct 2022
Submission deadline
27 May 2022

Lead Editor
Guest Editors

1Dalian University of Technology, Dalian, China

2King Saud University, Riyadh, Saudi Arabia

This issue is now closed for submissions.

Edge Intelligence for 6G-enabled Industrial Internet of Things

This issue is now closed for submissions.


Sixth Generation (6G) networks are expected to bring networking technologies with high throughput, massive connections, and pervasive coverage, enabling the Industrial Internet of Things (IIoT) that requires ultra-low latency and ultra-high reliability, such as intelligent transportation systems and smart factories. Edge computing pushes computation resources to the edge of networks, away from cloud centers and close to data sources. Edge intelligence derives from the convergence of edge computing with the exploitation of Artificial Intelligence (AI) technologies on distributed edge infrastructures and terminal devices. Edge intelligence fundamentally shortens data transmission delay, protects data privacy, and improves network security, which promotes the implementation of 6G-enabled IIoT. The edge intelligence for 6G-enabled IIoT has attracted widespread attention.

However, compared to the traditional cloud data center, distributed and heterogeneous edge infrastructures and devices are with limited computation, storage, and communication resources. The traditional machine learning paradigm is not capable of adapting to the diverse and complex practical 6G IIoT environment. Therefore, the design of edge intelligence to meet the requirements of 6G-enabled IIoT applications is still challenging.

This Special Issue invites academic and industry researchers engaged in edge intelligence for 6G-enabled IIoT, including technology, theory, services, architecture, and protocols. This Special Issue will provide a platform for researchers to present the latest research and to clarify the future directions of this exciting field. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Edge and fog computing for 6G-enabled IIoT
  • Resource management for edge intelligence-based IIoT
  • Signal processing techniques for 6G-enabled IIoT
  • Intelligent network security for 6G-enabled IIoT
  • Distributed AI algorithms for 6G-enabled IIoT
  • Federal learning for 6G-enabled IIoT
  • Edge intelligence and 6G for system control in IIoT
  • Edge intelligence and 6G for knowledge-based systems in IIoT
  • Edge intelligence and 6G for robot designs in IIoT
  • Edge intelligence and 6G for image systems in IIoT
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