Infrastructure-wide and intent-based networking dataset for 5G-and-beyond AI-driven autonomous networks

Jimena Andrade-Hoz, Qi Wang*, Jose M. Alcaraz-Calero

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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In the era of Autonomous Networks (ANs), artificial intelligence (AI) plays a crucial role for their development in cellular networks, especially in 5G-and-beyond networks. The availability of high-quality networking datasets is one of the essential aspects for creating data-driven algorithms in network management and optimisation tasks. These datasets serve as the foundation for empowering AI algorithms to make informed decisions and optimise network resources efficiently. In this research work, we propose the IW-IB-5GNET networking dataset: an infrastructure-wide and intent-based dataset that is intended to be of use in research and development of network management and optimisation solutions in 5G-and-beyond networks. It is infrastructure wide due to the fact that the dataset includes information from all layers of the 5G network. It is also intent based as it is initiated based on predefined user intents. The proposed dataset has been generated in an emulated 5G network, with a wide deployment of network sensors for its creation. The IW-IB-5GNET dataset is promising to facilitate the development of autonomous and intelligent network management solutions that enhance network performance and optimisation.
Original languageEnglish
Article number783
Number of pages25
Issue number3
Publication statusPublished - 25 Jan 2024


  • networking dataset
  • network control rules
  • network management
  • network optimisation
  • 5G
  • intent-based networking


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