Data Driven Network Slicing from Core to RAN for 5G Broadcasting Services

Abstract

Network slicing is a widely discussed technology for satisfying the diverse requirements in 5G and beyond scenarios. It enables the operators to create end-to-end virtual slices in network infrastructures. The flexible assignation of multi-dimensional slice resources including radio and spectral resources is essential for 5G communication networks. However, there is a lack of effective solutions to reconfigure the spectral and the radio resources in 5G radio access network (RAN) and core network. In this paper, we realize orchestration functionalities by exploiting a novel two-step slice reconfiguration strategy. Firstly, a slice-monitoring model is proposed to map slices to vectors by representation learning. Secondly, a slice reconfiguration algorithm is introduced to realize flexible slice reconfiguration. The slice reconfiguration strategy can decide when to trigger the reconfiguration strategy and how to reconfigure the slice resources. As for network performance, simulation results show our reconfiguration strategy can further improve slice resource utilization rate by 31% as well as reduce the blocking rate by 40% in 5G RAN and core network.