IFACS-Q3S-- A New Admission Control System for 5G Wireless Networks Based on Fuzzy Logic and Its Performance Evaluation

IFACS-Q3S-- A New Admission Control System for 5G Wireless Networks Based on Fuzzy Logic and Its Performance Evaluation

Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Copyright: © 2022 |Pages: 25
DOI: 10.4018/ijdst.300339
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Abstract

In the authors' previous work, they proposed an integrated fuzzy-based admission control system (IFACS) for admission control in 5G wireless networks. In this paper, they present a new system by considering service level agreement (SLA) as a new parameter. They call this system IFACS-Q3S. They also implemented a new scheme for slice overloading cost (SOC), called fuzzy-based scheme for SOC (FSSOC). The SOC is used as a new input for the IFACS-Q3S system. The other input parameters for IFACS-Q3S are quality of service (QoS), slice priority (SP), and SLA. From simulation results, they conclude that the considered parameters have different effects on the acceptance decision. The increase of QoS, SP, and SLA caused an increase in the AD value, whereas the increase in SOC resulted in a decrease in the AD value. For SOC 0.3, when the QoS value is 0.1 and the SP value is 0.1, in the case when SLA is increased from 0.1 to 0.5 and 0.5 to 0.9, the AD is increased by 5% and 11%, respectively. On the other side, when the SLA value is 0.9, we see that AD is decreased 14% by increasing the SOC values from 0.3 to 0.8.
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Introduction

The advancement of wireless technology has resulted in a significant increase of client demand. There is a huge number of new devices, each with its own set of traffic patterns and data rates (Navarro-Ortiz, et al., 2020; Soo, Chang, Loke, & Srirama, 2017; Nakamura, Enokido, & Takizawa, 2019). As the Internet of Things (IoT) expands, these devices will produce massive amounts of data in the network, clogging up networks and reducing QoS. (QoS). Thus, the Fifth Generation (5G) network should be sufficient and capable of meeting the demands of customers.

Many research projects have been developed for solutions suited for the future 5G networks. One of them is Software Defined Networking (SDN). To decrease handover processing delays, the mobile handover approach with SDN is used. Furthermore, by using Fuzzy Logic (FL) on SDN controllers, QoS may be improved (Yao, Su, Liu, & Zeng, 2018; Lee & Yoo, 2017; Qafzezi, Bylykbashi, Spaho, & Barolli, 2019).

Figure 1.

Key challenges of 5G.

ijdst.300339.f01

Figure 1 depicts the key challenges of 5G networks, which include increased spectrum efficiency, reduced latency, reduced consumption, high throughput, and high capability. Peak data speeds for 5G are expected to approach 20 Gbps (Hossain & Hasan, 2015). Furthermore, the 5G network will give consumers novel experiences such as Ultra High Definition Television (UHDT) (Nightingale, Salva-Garcia, Calero, & Wang, 2018; Yue & Zou, 2019) and cover a variety of IoT devices with durability and data throughput in densely populated hotspot sites (Giordani, Mezzavilla, & Zorzi, 2016). Because 5G uses a higher frequency to deal with bigger device volumes and higher user densities, the routing and switching technologies are not generally necessary, and the coverage area is smaller than 4G (Hossain S., 2013; Kamil & Ogundoyin, 2019) .

Because traditional IP networks are complicated and difficult to operate, the network administrators should find and create innovative techniques to increase network performance to solve new network difficulties. The SDN is a modern networking paradigm that separates the data plane and control plane and control the network in a centralized way while allowing the network to be programmed. As a result, the SDN can increase the efficiency of system management and processing performance (Kreutz, et al., 2014). Also, the mobile handover by SDN can reduce the handover processing delays and improve the QoS (Moravejosharieh, Ahmadi, & Ahmad, 2018).

Network Slicing is a novel technology that employs SDN and Network Function Virtualization (NFV) (Zhang, et al., 2017). A slice is a grouping of network resources that are chosen to meet the application requirements. It can deliver on-demand personalized reliable services in a network with limited available resources by slicing a physical network into several logical networks (Jiang, Condoluci, & Mahmoodi, 2016; Kim, Park, Kwon, & Lim, 2018; Omnes, Bouillon, Fromentoux, & Le Grand, 2015). Several slices with different priority values can meet traffic requirements giving 5G users better QoS than 4G users.

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