Performance model for factory automation in 5G networks

Abstract The fifth generation (5G) of mobile networks is emerging as a key enabler modern factory automation (FA) applications that ensure timely and reliable data exchange between network components. Network slicing (NS), which shares an underlying infrastructure with different ensures application isolation, the 5G technology to support diverse quality service requirements FA applications. In this article, end-to-end (E2E) NS solution proposed for in network. Regression approaches are used construct performance model each slice map level agreement attributes. Interference coordination switched beam systems optimize radio access (RAN) models. A case study non-public show solution. Simulation result shows services QoS requirements, IC should be optimization methods. Design prediction using regression approach has been evaluated successful rate increases when more existing used.