Theme
Artificial Intelligence (AI) will be the dominant technology of the future and will impact every corner of society. In particular, AI/ML (machine learning) will shape how communication networks, a lifeline of our society, will be run. Many companies in the information and communication technology (ICT) business are exploring how to make best use of AI/ML. ITU has been at the forefront of this endeavour exploring how to best apply AI/ML in future networks including 5G networks and has been building an AI/ML Toolkit comprising of standards (“Recommendations” in ITU parlance) on ML architecture (ITU Y.3172), data handling (ITU Y.3174), intelligence level (ITU Y.3173), ML marketplace (ITU Y.3176), ML model serving (ITU Y.3179), and others. Further specifications are in the process of being turned into standards such as ML function orchestrator and ML sandbox.
Building on its standards work, ITU conducted its first ITU AI/ML in 5G Challenge in 2020, a global competition in which 26 partners (telecom operators, vendors, and academia) hosted 23 problem statements. 1300+ participants from over 60 countries have engaged in this contest, solving real-world problems. ITU launched a call for papers at the end of the first Challenge. The best peer-reviewed papers are now being published in a special issue of the ITU Journal on Future and Evolving Technologies.
In 2021, ITU launched its second ITU AI/ML in 5G Challenge. Sixteen problem statements are being offered. ITU is already now launching a new call for papers based on the research related to the second edition of the Challenge. Based on solutions and results from the ITU Challenge, we are calling for papers from hosts and participants of the ITU Challenge to submit their solutions for publication in a special issue of the ITU Journal. This special issue is dedicated to exploration of Artificial Intelligence and Machine Learning in 5G and future networks as well as enabling technologies and tools in networks.
Keywords
5G, Beyond 5G, 6G, artificial intelligence (AI), wireless communication systems, machine learning (ML), deep learning, architecture, function orchestrator, sandbox, intelligence level, data handling, marketplace
Tracks
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Application of AI/ML in future networks including 5G
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Machine learning and AI for wireless communications system design beyond 5G
- Deep learning for communication networks
- Advances in AI for signal processing
Prospective authors are cordially invited to submit their original manuscript on
the suggested topics listed in the
FULL call for papers.
Leading Guest Editor
Guest Editors
