A SDN Enabled PON Controller based on Hierarchical Models

Abstract

With the evolution of network architecture and changes in service requirements, operators are posing new challenges to Passive Optical Network (PON) operation and maintenance. In order to solve the lack of intelligent operation and maintenance capabilities of PON, this paper proposes a software defined network (SDN) enabled PON controller based on hierarchical models. PON controller is a codeless frameworks based on model-driven and graphical programming. The standardized YANG model enables the flexible and quick modelling and services handling of different professional levels’ services and networks in PON system. Based on Telemetry technology, a real-time and high-precision collection solution for PON network can be built, realizing all-round and fined real-time visibility of network services. Besides, by introducing the artificial intelligence (AI) technology represented by machine learning and deep learning, automatic closed-loop operating status monitoring, analysis and decision-making of industrial PON networks can be realized, the intelligent level of network operation and maintenance can be improved, which aims to build an automated, visualized and intelligent PON.