The ITU Journal
on Future and Evolving Technologies (ITU J-FET) is an international journal providing complete coverage of all communications and networking paradigms, free of charge for both readers and authors.
The ITU Journal considers yet-to-be-published papers addressing fundamental and applied research. It shares new techniques and concepts, analyses and tutorials, as well as learning from experiments and physical and simulated testbeds. It also discusses the implications of the latest research results for policy and regulation, legal frameworks, the economy and society. This publication builds bridges between disciplines, connects theory with application, and stimulates international dialogue. Its interdisciplinary approach reflects ITU’s comprehensive field of interest and explores the convergence of ICT with other disciplines.
ITU Journal - webinars series
Stay tuned for the ITU Journal 2026 spring webinar season! We’ve wrapped up our webinar season of the year, and we want to extend a thank you to everyone who participated. Your engagement, questions, and insights made each session a valuable experience for all. But we’re not done yet! We’re already preparing for a new season, launching in March, with more compelling topics focused on future and evolving technologies. Look out for updates. We can’t wait to share what’s next with you!
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Regular issue - paper submission
The ITU Journal welcomes submissions at any time, and on any
topic within its scope. Papers will be published in the
ITU Digital Library
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Special issues - paper submission
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the latest articles
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Computational complexity-constrained spectral efficiency analysis for 6G waveforms
Saulo Queiroz, Joao P. Vilela, Benjamin Koon Kei Ng, Chan-Tong Lam, Edmundo Monteiro
Volume 6 (2025), Issue 4, Pages 416-429
- Digitalisation and beyond: Economic perspectives on granular energy data
Daniel Davi-Arderius, Emanuele Giovannetti, Tooraj Jamasb, Manuel Llorca, Golnoush Soroush
Volume 6 (2025), Issue 4, Pages 400-415
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QMOS: Enhancing LLMs for telecommunications with question-masked loss and option shuffling
Blessed Guda, Gabrial Zencha Ashungafac, Lawrence Francis, Carlee Joe-Wong
Volume 6 (2025), Issue 4, Pages 391-399
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Enhancing multiuser scheduling in massive MIMO mobile channels
Sara Al-kokhon, Hossein Bijanrostami, Elaheh Bassak, Brad Stimpson, Elvino Sousa
Volume 6 (2025), Issue 4, Pages 377-390
- Condense: Cognitive intent-driven end-to-end network slicing with AI planning agents
Ajay Kattepur, Ian Burdick, Swarup Mohalik, Marin Orlic, Leonid Mokrushin
Volume 6 (2025), Issue 4, Pages 353-376
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