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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
Copyright: © 2021 |Volume: 12 |Issue: 2 |Pages: 18
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781799860099|DOI: 10.4018/IJMCMC.2021040102
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MLA

Ampririt, Phudit, et al. "Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control." IJMCMC vol.12, no.2 2021: pp.18-35. http://doi.org/10.4018/IJMCMC.2021040102

APA

Ampririt, P., Qafzezi, E., Bylykbashi, K., Ikeda, M., Matsuo, K., & Barolli, L. (2021). Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 12(2), 18-35. http://doi.org/10.4018/IJMCMC.2021040102

Chicago

Ampririt, Phudit, et al. "Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 12, no.2: 18-35. http://doi.org/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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