Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control

Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control

Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
DOI: 10.4018/IJMCMC.2021040102
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Abstract

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.
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Introduction

Recently, the growth of wireless technologies and user's demand of services are increasing rapidly. Especially in 5G networks, there will be billions of new devices with unpredictable traffic patterns which require high data rates. With the appearance of Internet of Things (IoT), these devices will generate Big Data to the Internet, which will cause congestion and therefore deteriorate the Quality of Service (QoS) (Navarro-Ortiz, et al., 2020; Soo, Chang, Loke, & Srirama, 2017; Nakamura, Enokido, & Takizawa, 2019).

The 5G network will provide users with new experiences such as Ultra High Definition Television (UHDT) on Internet and support a lot of IoT devices with long battery life and high data rate on hotspot areas with high user density. In the 5G technology, the routing and switching technologies are not important anymore or coverage area is shorter than 4G because it uses high frequency for facing higher device's volume for high user density (Hossain S., 2013; Kamil & Ogundoyin, 2019).

There are many research works that try to build systems which are suitable to 5G era. The Software Defined Networking (SDN) is one of them. For example, the mobile handover mechanism with SDN is used for reducing the delay in handover processing. Also, by using SDN the QoS can be improved by applying Fuzzy Logic (FL) on SDN controller (Yao, Su, Liu, & Zeng, 2018; Lee & Yoo, 2017; Qafzezi, Bylykbashi, Spaho, & Barolli, 2019).

Figure 1.

The key challenges of 5G

IJMCMC.2021040102.f01

In Figure 1 are shown the key challenges of 5G, which are improved spectrum efficiency, reduced latency, low consumption, high data rate, capacity and throughput improvement. For example, the peak data for 5G is expected to be beyond 20 Gbps (Hossain & Hasan, 2015). In addition, the 5G network will provide users with new experiences such as UHDT on Internet (Nightingale, Salva-Garcia, Calero, & Wang, 2018; Yue & Zou, 2019) and support a lot of IoT devices with long battery life and high data rates on hotspot areas with high user density (Giordani, Mezzavilla, & Zorzi, 2016).

In order to meet new network challenges and because traditional IP networks are complex and very hard to manage, network administrators have to identify and create new methodologies to enhance the network performance for the new era. The SDN is a new networking paradigm that decouples the data plane from control plane in the network and promotes (logical) centralization of network control that has ability to program the network. Thus, the SDN can enhance system management efficiency and processing performance (Kreutz, et al., 2014). As an example, the mobile handover mechanism with SDN can be used for reducing the delay in handover processing and for improving the QoS (Moravejosharieh, Ahmadi, & Ahmad, 2018).

The Network Slicing is a new technology that uses SDN and Network Function Virtualization (NFV) (Zhang, et al., 2017). A slice is a set of network resources which is selected in order to satisfy the requirements of the services. It can provide on-demand customized reliable service in network with limited resource by slicing a physical network into several logical networks. The traffic requirements can be satisfied by different slices with different priority values, thus providing users in the 5G system higher QoS than 4G system (Jiang, Condoluci, & Mahmoodi, 2016; Kim, Park, Kwon, & Lim, 2018; Omnes, Bouillon, Fromentoux, & Le Grand, 2015).

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