Data and knowledge dual-driven architecture for autonomous networks

Abstract

The vision of autonomous network has become an industry consensus. Leading operators have moved from network automation to network intelligence, and the deep integration of network and AI technology as the main technical method enters the scale adoption in production networks. At the same time, the third-generation AI technology has ushered in a research and development boom driven by both data and knowledge. To build an architectural consensus to further guide technical standards for accelerating industrial cooperation, a data and knowledge dual-driven autonomous network architecture, as well as its design principles, functional modules and deployment options, are given to unleash the power of technology innovation and industry transformation.