A fuzzy-based system for handover in 5G wireless networks considering different network slicing constraints: a comparison study of two implemented models

In this paper, we present a fuzzy-based system for handover in 5G wireless networks considering different network slicing constraints. We implement two Fuzzy-based Handover Models (FBHM): FBHM1 and FBHM2. We evaluate the proposed models by simulations. The FBHM1 considers three input parameters: Slice Delay (SD), Slice Bandwidth (SB), Slice Stability (SS) and the output parameter is Handover Decision (HD). In FBHM2, we consider Slice Load (SL) as a new parameter. From simulation results, we found that the HD value increases as the SD and SL values increase, but the HD value decreases when SB and SS values increase for both models. The simulation results show that the FBHM2 is more complex than FBHM1 but performs better HD since four parameters are considered when making handover decision.