Network Selection and QoS Management Algorithm for 5G Converged Shipbuilding Network Based on Digital Twin

Abstract

With the continuous development of intelligent manufacturing technology, in order to meet the diversified needs of network and computing power for intelligent applications in the shipbuilding process, 5G technology and edge computing technology are applied in the traditional 4G/WLAN networks, thus forming the 5G converged shipbuilding network. In order to support massive intelligent services under the converged network in the shipyard, the mechanism for access control and QoS (Quality of Services) management need further researches. In this paper, the 5G converged shipbuilding network based on digital twin is studied, and an efficient and reliable method for multi-mode terminal access and multi-QoS management is proposed. This method continuously constructs the communication environment of digital-twin network through data collection from the physical network, and performs detailed network simulation and mapping through RL (Reinforcement Learning) in digital-twin network to achieve scheduling optimization. The decisions made in digital-twin network are delivered to the physical network to achieve efficient and reliable multi-mode terminal access and multi-QoS management. The simulation results show that the proposed new architecture and method effectively can improve the efficiency of 5G converged network in the shipyard.