Call for Papers: Special Issue on "Artificial Intelligence for Future Wireless Communications and Networking"
来源: 唐建华/
首尔大学 (Seoul National University)

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
Elsevier Digital Communications and Networks (DCN), 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 Only original and unpublished research papers will be considered in this special issue.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 Elsevier 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 via to the following timetable and choose the article type as “SI: AI for Future Wireless Communications and Networking”.

Time Table
Manuscript submission: June 1, 2018
Acceptance notification: October 1, 2018
Final manuscript due: November 1, 2018
Publication date: February 1, 2019

Guest Editors
Prof. Tony Q. S. Quek, Singapore University of Technology and Design, Singapore

Prof. Jian Wang, Fudan University, China

Prof. Jianhua Tang, Seoul National University, Korea

Prof. Gang Feng, University of Electronic Science and Technology of China, China

登录用户可以查看和发表评论, 请前往  登录 或  注册 学者网
免责声明 | 关于我们 | 联系我们