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Summary

We introduce the IW-IB-5GNET dataset for developing AI-driven solutions in autonomous networks (ANs). This infrastructure-wide, intent-based dataset supports network management and optimization in 5G and beyond.

Keywords:
5Gintent-based networkingnetwork control rulesnetwork managementnetwork optimisationnetworking dataset

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Area of Science:

  • Computer Science
  • Telecommunications Engineering

Background:

  • Artificial intelligence (AI) is crucial for Autonomous Networks (ANs), particularly in 5G and future cellular generations.
  • High-quality networking datasets are essential for data-driven algorithms in network management and optimization.

Purpose of the Study:

  • To propose the IW-IB-5GNET dataset for research and development of network management and optimization solutions.
  • To support the creation of AI algorithms for informed decision-making and efficient resource optimization in 5G+ networks.

Main Methods:

  • Generated an infrastructure-wide and intent-based dataset named IW-IB-5GNET.
  • Utilized an emulated 5G network environment with extensive network sensor deployment for data collection.

Main Results:

  • The IW-IB-5GNET dataset encompasses information across all 5G network layers.
  • The dataset is built upon predefined user intents, reflecting real-world network demands.

Conclusions:

  • The IW-IB-5GNET dataset is a valuable resource for advancing autonomous and intelligent network management.
  • It facilitates the development of solutions that enhance overall network performance and optimization in 5G and beyond.