ITU Journal shares machine-learning solutions for 5G and future networks
Communication networks are rapidly transforming from reactive systems into autonomous, intent-driven cognitive engines that match machine learning with software-based monitoring and operation.
The ITU Journal on Future and Evolving Technologies continues its extensive, in-depth coverage of machine learning for 5G and future networks.
The latest issue (Volume 6, issue 4) explores traffic forecasting, intent-driven automation, reinforcement learning for resource allocation, and small language models for standardization.
The issue shares solutions from ITU’s Global Challenge on machine learning for 5G and future networks.
It also includes papers on spectral efficiency analysis for 6G waveforms and economic perspectives on granular energy data.
The online ITU Journal – free of charge to readers and contributors – offers comprehensive coverage of communications and networking.
It welcomes research submissions all year long, on all topics relevant to the work of the International Telecommunication Union (ITU).
Published in open access format since 2020, the ITU Journal is indexed in the Directory of Open Access Journals.
Coming up
Two upcoming issues are currently inviting submissions:
Selected research papers from a special issue on Underwater communications are set for publication in March 2026.
Along with research articles, the journal includes recorded webinar discussions with researchers and industry leaders. Catch up on talks in 2025.
Join the ITU community
Engaging in ITU’s work as ITU Academia members helps researchers to bring their innovations to market.
Academia members collaborate with companies and governments as part of ITU expert groups responsible for radiocommunication, standardization, and development.
Emerging tech research trends relevant to ITU standards work are in focus at ITU Kaleidoscope academic conferences.
Kaleidoscope 2026: AI and frontier technologies for good will take place at the AI for Good Global Summit in Geneva from 7 to 10 July 2026.
