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Special issue on AI/ML solutions in 5G and future networks



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) and ML marketplace (ITU Y.3176). Further specifications are in the process of being turned into standards such as ML function orchestrator, serving framework and ML sandbox.

Building on its standards work, ITU conducted the ITU AI/ML in 5G Challenge, 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.

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.​


5G, Beyond 5G, 6G, artificial intelligence (AI), wireless communication systems, machine learning (ML), deep learning, architecture, function orchestrator, sandbox, intelligence level, data handling, marketplace


Prospective authors are cordially invited to submit their original manuscript on the suggested topics listed in the FULL call for papers ​[download here​​].

Leading Guest Editor

Chih-Lin I, China Mobile Research Institute, China 

​Guest Editors

​​​ Akihiro Nakao, University of Tokyo, Japan​ 
Aldebaro Klautau, The Federal University of Pará (UFPA), Brazil
​​​ Nuria González Prelcic, North Carolina State University, USA‬‬‬‬‬‬‬‬‬‬  
​​​ Albert Cabellos-Aparicio​, Technical University of Catalonia​, Spain​