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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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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