ITU Journal shares new research on network optimization

By ITU News

The latest issue of the ITU Journal on Future and Evolving Technologies features research on network automation and the resulting dynamism as key to 5G and beyond.

The ITU Journal – free of charge to both readers and contributors – offers comprehensive coverage of communications and networking topics, in line with the work of the International Telecommunication Union (ITU). The online journal welcomes research submissions on all relevant topics, all year long.

The new issue explores zero-touch autonomous networks, superimposed training for channel estimation and the reduction of peak-to-average power ratios, and a decision-making tool for reliable communications in wireless underground sensor networks.

It also shares insights on artificial intelligence (AI) and machine learning (ML) solutions developed as part of ITU’s AI/ML in 5G Challenge (third edition), highlighting outstanding contributions to this global problem-solving competition on topics such as graph neural networks, beam prediction, digital twin network training, and predicting potential network failures.  

The next issue of the ITU Journal, coming in December,will present research on the metaverse and AI for accessibility.

Further upcoming issues currently inviting submissions will address:

• Intelligent technologies for future networking and distributed systems
• Satellite constellations and connectivity from space​
• Next-generation computer communications and networks

Opportunities for research communities

ITU Academia membership is a key avenue for academics to engage in the work of ITU. Academia members participate in ITU expert groups responsible for radiocommunication, standardization, and development, strengthening the work of ITU work as well as the impact of their own research.

The online ITU Journal also includes recorded webinar discussions with researchers and industry leaders.

Upcoming webinars:

• 31 October: Andrea J. Goldsmith, Arthur LeGrand Doty Professor of Electrical and Computer Engineering and Dean of the School of Engineering and Applied Science at Princeton University
• 21 November: Wang Xiaoyun, Head of Technology at China Mobile
• 6 December: Jeffrey G. Andrews, Director at 6G@UT, Truchard Family Endowed Chair in Engineering, and Professor of Electrical and Computer Engineering at the University of Texas at Austin