AI-driven network management system using virtual network representations to evaluate candidate actions and predict their impact on network topology and KPIs.

Patentradars sammanfattning

This invention relates to a computer-implemented method for telecommunications network management that leverages artificial intelligence and a virtual representation of network infrastructure. The system receives inputs from machine learning models regarding candidate management actions, simulates their effects on network topology and key performance indicators (KPIs), and recommends optimal actions based on predicted outcomes. The approach integrates ML-based action proposals with digital twin simulation capabilities to enable data-driven network operations decisions.

AI-genererad och redaktionellt processad.