Digital Twin Network: Opportunities and Challenges

Understand

The proliferation of emergent network applications (e.g., AR/VR, telesurgery, real-time communications) is increasing the difficulty of managing modern communication networks.

• These applications typically have stringent requirements (e.g., ultra-low deterministic latency), making it more difficult for network operators to manage their network resources efficiently.
• In this article, we propose the Digital Twin Network (DTN) as a key enabler for efficient network management in modern networks.
• We describe the general architecture of the DTN and argue that recent trends in Machine Learning (ML) enable building a DTN that efficiently and accurately mimics real-world networks.