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2018-04-30 11:36:24
2018-04-30
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 Only original and unpublished research papers will be considered in this special issue.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 according 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
Email:
Prof. Jian Wang, Fudan University, China
Email:
Prof. Jianhua Tang, Seoul National University, Korea
Email:
Prof. Gang Feng, University of Electronic Science and Technology of China, China
Email:
