An Integrated Fuzzy-based Admission Control System (IFACS) for 5G Wireless Networks: Its implementation and performance evaluation

The Fifth Generation (5G) network is expected to be flexible to satisfy user requirements and the Software-Defined Network (SDN) with Network Slicing is a good approach for admission control. There are different challenges of 5G networks such as: improved spectrum efficiency, reduced latency, low consumption, high data rate, capacity and throughput improvement. To deal with these challenges, we propose an Integrated Fuzzy-based Admission Control System (IFACS) for 5G Wireless Networks. We consider 4 input parameters: Quality of Service (QoS), Slice Priority (SP), User Request Delay Time (URDT) and Slice Overloading Cost (SOC). From simulation results, we conclude that the considered parameters have different effects on the acceptance decision. When QoS, SP, URDT parameters are increased, the AD value is increased. But, when the SOC parameter is increased, the AD value is decreased. When the QoS increases 20%, the AD is increased 20% when SP value is 0.5, SOC value is 0.3 and the URDT value is 0.5. But, when the SOC value changes 40%, the AD is decreased by 20% when the URDT value is 0.5. (C) 2020 Elsevier B.V. All rights reserved.

Automated summary

The study proposes an Integrated Fuzzy-based Admission Control System (IFACS) to address the challenges of 5G networks, considering multiple input parameters for acceptance decision. When QoS, SP, and URDT parameters are increased, the acceptance decision value increases, but when the SOC parameter is increased, the acceptance decision value decreases.