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Article type: Research Article
Authors: Ampririt, Phudita; * | Liu, Yib | Ikeda, Makotoc | Matsuo, Keitac | Barolli, Leonardc | Takizawa, Makotod
Affiliations: [a] Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan. E-mail: iceattpon12@gmail.com | [b] Department of Information Engineering, National Institute of Technology, Oita College, 1666 Oazamaki, Oita 870-0152, Japan. E-mail: yuui1010@gmail.com | [c] Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan. E-mails: makoto.ikd@acm.org, kt-matsuo@fit.ac.jp, barolli@fit.ac.jp | [d] Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Kajino-Machi, Koganei-Shi, Tokyo 184-8584, Japan. E-mail: makoto.takizawa@computer.org
Correspondence: [*] Corresponding author. E-mail: iceattpon12@gmail.com.
Abstract: The Fifth Generation (5G) networks are expected to be flexible to satisfy demands of high-quality services such as high speed, low latencies and enhanced reliability from customers. Also, the rapidly increasing amount of user devices and high user’s requests becomes a problem. Thus, the Software-Defined Network (SDN) will be the key function for efficient management and control. To deal with these problems, we propose a Fuzzy-based SDN approach. This paper presents and compares two Fuzzy-based Systems for Admission Control (FBSAC) in 5G wireless networks: FBSAC1 and FBSAC2. The FBSAC1 considers for admission control decision three parameters: Grade of Service (GS), User Request Delay Time (URDT) and Network Slice Size (NSS). In FBSAC2, we consider as an additional parameter the Slice Priority (SP). So, FBSAC2 has four input parameters. The simulation results show that the FBSAC2 is more complex than FBSAC1, but it has a better performance for admission control.
Keywords: 5G, SDN, admission control, Network Slicing
DOI: 10.3233/JHS-200637
Journal: Journal of High Speed Networks, vol. 26, no. 3, pp. 169-183, 2020
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