Dynamic 5G Network Slicing for Telemedicine Systems

As one of the inevitable healthcare development trends, telemedicine nowadays requires higher data transmission speed and capacity with lower latency to fulfill the needs for more advanced means of treatment and diagnosis. With its promising potential to provide broadband and low latency connections, the fifth generation communication system (5G) with one of its key enabling techniques known as network slicing can serve as an effective transmission means to meet those telemedicine requirements. This paper proposes a dynamic 5G network slicing for telemedicine systems. We model a 5G network slicing-based telemedicine system where two different types of slices are designed and dedicated to the medical data. We propose a dynamic algorithm to enable the slices’ coexistence and efficiently share the radio access network resources for their services. Our simulation results indicate higher medical data transmission throughput with lower latency when compared to a standard transmission scenario with 5G but without the slicing technique. It then shows the effectiveness of our proposed approach to meet modern telemedicine requirements.