A Fuzzy-Based System for Selection of Slice Service Type in 5G/6G Wireless Networks

Compared to 5-th Generation (5G) networks, the 6-th Generation (6G) networks are anticipated to accommodate a significantly higher number of applications and devices, along with a greater diversity of mobile data, architectures, and technologies. The 6G wireless network is designed to support a wide range of applications, including immersive augmented and virtual reality experiences, real-time holographic communications, and the Internet of Everything (IoE). A key feature of 6G is network slicing, which enables creation of multiple virtual networks on a single physical infrastructure. This capability requires operators to provide specific types of slices to meet diverse needs of different applications or multiple requirements of the same user. To ensure that resources are distributed effectively without compromising the performance of any slice, in this paper, we propose a Fuzzy-based System for Selection of Slice Service Type (F3ST), which considers three parameters: Bandwidth (Bt), Latency (La) and Connection Density (CD). From simulation results, we found that when Bt is increased, the Slice Service Type Decision (SSTD) value is increased, but when La and CD are increased, the SSTD is decreased.