Abstract
The 5-th Generation (5G) heterogeneous networks are expected to provide various applications and wide area networks to fulfill user requirements. They consist of many types of Radio Access Technologies (RATs) and the selection of a RAT should consider many parameters, which makes the selection decision an NP-hard problem. One of critical parameter for selecting a RAT in 5G wireless networks is Quality of Experience (QoE). In order to deal with this problem, in this paper we propose a Fuzzy-based system for assessment of QoE considering four parameters: Network Capacity (NC), Experienced End-User Throughput (EEUT), Connectivity (Cn) and Security (Se), which is considered as a new parameter. From simulation results, we conclude that the highest value of QoE is achieved when the RAT provides a big NS, fast EEUT, high Cn and very strong Se.
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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 Technologies in 5G Wireless Networks: Effect of Security Parameter on Quality of Experience Assessment. In: Barolli, L. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-031-40971-4_20
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DOI: https://doi.org/10.1007/978-3-031-40971-4_20
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