A Knowledge-driven Self-healing Dual-loop and Validation for Autonomous Networks

Can Tan, Honglin Fang, Junye Zhang, Dahua Lin, Liyan Zhang, Yong Zhang, Peng Yu

Abstract: Intelligent technology is driving the communication industry to a higher stage of autonomy. To enable the large-scale deployment of Autonomous Networks (ANs), We design a knowledge-driven self-healing dual-loop architecture throughout the fault lifecycle, Then we propose an optimization model that aims to minimize the loss of services operation. Simulations are conducted in a programmable network to validate the loop.