Performance Analysis of 5G Network Slicing for Hospital of the Future

Abstract

5G network slicing is considered an efficient solution to support various applications with diverse requirements. In network slicing, each client is assigned with logical end-to-end network that shares a common physical infrastructure. It allows the necessary flexibility and scalability associated with the eMBB, uRLLC and mMMTC type of traffic. Hospital of the Future (HoF) is an emerging application supporting diverse applications such as Augmented Reality (AR) controlled robotic monitoring, remote monitoring, and remote surgery. This paper envisioned exploring two network slicing strategies for HoF environment based on its dynamicity and network slicing orchestration. Their performance is evaluated in terms of the ratio of connected clients, the ratio of blockage ratio, average and total bandwidth utilization. Simulation results showed that dynamic slicing with femtocell configuration outperforms static slicing and slicing at micro BS.