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Special Issue on "Artificial Intelligence for Future Wireless Communications and Networking"

Special Issue on "Artificial Intelligence for Future Wireless Communications and Networking"

Recent breakthroughs in Artificial Intelligence (AI) and Machine Learning (ML), including deep neural networks and probability models, and the availability of powerful computing platforms are providing us with technologies to perform tasks that once seemed impossible. The recent win of AlphaGo over the world champion Mr. Lee Sedol has witnessed the power of AI beyond what many of us can imagine. In the near future, autonomous vehicles, intelligent mobile networks, and intelligent internet-of-things (IoT) will become a norm and AI will be one of the key technologies to make all these possible. Therefore, we foresee that AI can provide many new and unprecedented opportunities in the way we design our wireless and wired data pipelines, the way we manage and optimize our wireless and wired networks, and the way we manage different user services and user content.


The purpose of this special issue is to explore and understand how advanced innovations in machine learning can enable the application of AI in future wireless communications and networking. Furthermore, we are also interested to see how AIcan assist in the automation of future services in wireless communications and networking. The areas of interest include, but are not limited to, the following:

  • AI-enabled Mobile Networks Design
  • Deep Learning/Machine Learning in Wireless Communications and Networking
  • Deep Learning/Machine Learning in Cognitive Radio
  • AI-based Network Intelligence for IoT
  • AI-enabled Ultra-Reliable and Low-Latency Communications
  • AI-enabled Network Softwarization and Virtualization
  • Deep Learning/Machine Learning in Big Data enabled Wireless Networking
  • Low-power Architecture with Deep Learning for Wireless Communications
  • Advanced Deep Learning/Machine Learning Algorithms for Wireless Networks
  • AI-based Adaptive and Dynamic Network Slicing
  • New Network Pricing Models based on Deep Learning/Machine Learning
  • The Design of AI-enabled Hardware for Communications System

Paper Submission:

Digital Communications and Networks (DCN), indexed by ESCI and Scopus, fully open accessed by ScienceDirect, publishes rigorously peer-reviewed and high quality original articles and authoritative reviews. Only original and unpublished research papers will be considered in this special issue. Authors should follow the DCN manuscript format described in the Information for Authors at DCN journal website. Prospective authors should submit an electronic copy to the Elsevier DCN on-line manuscript system according to the following timetable and choose the article type as “SI: AI for Future wireless”.

Important Dates:

Manuscript submission: 1st May 2018
Acceptance notification: 1st September 2018
Final manuscript due: 1st October 2018
Publication date: 1st February 2019

Guest Editors:

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