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A Fuzzy-Based Scheme for Selection of Radio Access Technologies in 5G Wireless Networks: QoE Assessment and Its Performance Evaluation

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Advanced Information Networking and Applications (AINA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 661))

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Abstract

The 5-th Generation (5G) heterogeneous networks are expected to provide dense network services and a plethora of different networks for fulfilling the user requirements. They are supposed to give User Equipment (UE) the ability to connect with the appropriate Radio Access Technology (RAT). However, many parameters should be considered for the selection of RAT, which makes the problem HP-hard. Especially, Quality of Experience (QoE) is one of the important parameters for the selection of RAT in 5G wireless networks. For this reason, in this paper, we propose a fuzzy-based scheme for evaluating QoE considering three parameters: Network Capacity (NC), Experienced End-User Throughput (EEUT) and Connectivity (Cn). From simulation results, we found that when NC, EEUT and Cn are increased, the QoE parameter value 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

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

    Makoto Ikeda, Keita Matsuo & Leonard Barolli

Authors
  1. Phudit Ampririt
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  2. Makoto Ikeda
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  3. Keita Matsuo
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  4. 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, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Ampririt, P., Ikeda, M., Matsuo, K., Barolli, L. (2023). A Fuzzy-Based Scheme for Selection of Radio Access Technologies in 5G Wireless Networks: QoE Assessment and Its Performance Evaluation. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-031-29056-5_5

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