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B5GEMINI: AI-Driven Network Digital Twin.

Alberto Mozo1, Amit Karamchandani1, Sandra Gómez-Canaval1

  • 1ETSI Sistemas Informáticos, Dpto. Sistemas Informáticos, Universidad Politécnica de Madrid, 28031 Madrid, Spain.

Sensors (Basel, Switzerland)
|June 10, 2022
PubMed
Summary
This summary is machine-generated.

Network Digital Twins (NDT) leverage AI and ML for 5G+ networks. B5GEMINI, an NDT, enhances cybersecurity and energy efficiency through AI-powered applications and novel Digital Map concepts.

Keywords:
artificial intelligencedigital twinmachine learningnetwork digital twintelecommunications

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Area of Science:

  • Telecommunications Engineering
  • Computer Science
  • Artificial Intelligence

Background:

  • Network Digital Twin (NDT) technology virtualizes telecommunications networks.
  • Artificial Intelligence (AI) and Machine Learning (ML) are key enablers for NDTs.
  • NDTs bridge physical and virtual network spaces for enhanced control.

Purpose of the Study:

  • Introduce B5GEMINI, a Network Digital Twin for 5G and beyond networks.
  • Explore AI/ML applications within the B5GEMINI framework.
  • Identify AI ecosystem components, research trends, and challenges for NDTs.

Main Methods:

  • Presenting infrastructural and architectural components of B5GEMINI.
  • Exploring AI/ML-driven applications leveraging B5GEMINI.
  • Analyzing the AI ecosystem and outlining research directions.

Main Results:

  • B5GEMINI extensively utilizes AI and ML for network virtualization.
  • Demonstrated AI/ML applications in cybersecurity (attack detection) and energy efficiency.
  • Introduced the Digital Map concept for modular NDT development.

Conclusions:

  • B5GEMINI represents a significant advancement in AI-powered Network Digital Twins.
  • AI/ML integration in NDTs unlocks new capabilities for network management and security.
  • Further research is needed to address open challenges in NDT development and deployment.