ITU Journal on Future and Evolving Technologies (ITU J-FET)

​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​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. 

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Regular issue - paper submission​

​​The ITU Journal welcomes submissions at any time, and on any to​​pic ​within its scope. As soon as they get accepted, papers will be ​continuously published on the ITU website. They will then be bundled into regular issues.


Submi​t yo​ur paper​​ ​​​​​

Special issues - paper submission​
• ​ Intelligent technologies for future networking and distributed systems
  Deadline for paper submission extended: 9 October 2023 (Submit here​)
• Next generation computer communications and networks
  Deadline for paper submission extended: 31 October 2023 (Submit here​)​
  
• Satellite constellations and connectivity from space​
  Deadline for paper submission extended: 31 October 2023 (Submit here​​)
  
Download the latest articles​​

• Build your own closed loop: Graph-based proof of concept in closed loop for autonomous networks
  Jaime Fúster de la Fuente, Álvaro Pendás Recondo, Paul Harvey, Tarek Mohamed, Chandan Singh, Vipul Sanap, Ayush Kumar, Sathish Venkateswaran, Sarvasuddi Balaganesh, Rajat Duggal, Sree Ganesh Lalitaditya Divakarla, Vaibhava Krishna Devulapali, Ebeledike Frank Chukwubuikem, Emmanuel Othniel Eggah, Abel Oche Moses, Nuhu Kontagora Bello, James Agajo, Wael Alron, Fathi Abdeldayem, Melanie Espinoza Hernández, Abigail Morales Retana, Jackeline García Alvarado, Nicolle Gamboa Mena, Juliana Morales Alvarado, Ericka Pérez Chinchilla, Amanda Calderón Campos, Derek Rodríguez Villalobos, Oscar Castillo Brenes, Kodandram Ranganath, Ayushi Khandal, Rakshesh P Bhatt, Kunal Mahajan, Prikshit CS, Ashok Kamaraj, Srinwaynti Samaddar, Sivaramakrishnan Swaminathan, M Sri Bhuvan, Nagaswaroop S N, Blessed Guda, Ibrahim Aliyu, Kim Jinsul, Vishnu Ram 
  Volume 4 (2023), Issue 3, Pages 503-536​ - 14 September 2023
  
• Data-efficient GNN models of communication networks using beta-distribution-based sample ranking​
  Max Helm, Benedikt Jaeger, Georg Carle
  Volume 4 (2023), Issue 3, Pages 485-491 - 8 September 2023 
  
• Oracle-based data generation for highly efficient digital twin network training
  Eliyahu Sason, Yackov Lubarsky, Alexei Gaissinski, Eli Kravchik, Pavel Kisilev
  Volume 4 (2023), Issue 3, Pages 472-484 - 8 September 2023
  
• Multimodal transformers for wireless communications: A case study in beam prediction​
  Yu Tian, Qiyang Zhao, Zine el abidine Kherroubi, Fouzi Boukhalfa, Kebin Wu, Faouzi Bader
  Volume 4 (2023), Issue 3, Pages 461-471 - 5 September 2023
  
• DRF codes: Deep SNR-robust feedback codes
  Mahdi Boloursaz Mashhadi, Deniz Gunduz, Alberto Perotti, Branislav M. Popovic
  Volume 4 (2023), Issue 3, Pages 447-460 - 5 September 2023
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