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A Fuzzy-Based System for Selection of Radio Access Technology in 5G Wireless Networks Considering QoE as a New Parameter

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 177))

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Abstract

The 5-th Generation (5G) heterogeneous networks will offer dense network services and a wide range of networks to satisfy customers ’ demands in order to enable User Equipment (UE) to connect with the preferable Radio Access Technology (RAT). Selection of an appropriate RAT requires consideration of many variables, which makes the task HP-hard. In particular, Quality of Experience (QoE) is one of the crucial parameters when selecting a RAT for 5G wireless networks. In this paper, we proposed a Fuzzy-based RATs Selection System considering QoE (FRSSQ) for 5G wireless networks. We considered four parameters: Coverage (CV), User Priority (UP), Spectral Efficiency (SE) and Quality of Experience (QoE), which is a new input parameter for calculating RAT Decision Value (RDV). From the simulation results, we found that when CV, UP, SE and QoE are increasing, the RDV parameter is increased.

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Authors and Affiliations

  1. Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Phudit Ampririt & Shunya Higashi

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo & Leonard Barolli

Authors
  1. Phudit Ampririt
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  2. Shunya Higashi
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  3. Ermioni Qafzezi
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  4. Makoto Ikeda
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  5. Keita Matsuo
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  6. Leonard Barolli
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Corresponding author

Correspondence to Phudit Ampririt .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Ampririt, P., Higashi, S., Qafzezi, E., Ikeda, M., Matsuo, K., Barolli, L. (2023). A Fuzzy-Based System for Selection of Radio Access Technology in 5G Wireless Networks Considering QoE as a New Parameter. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 177. Springer, Cham. https://doi.org/10.1007/978-3-031-35836-4_17

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