Artificial Intelligence in Data and Big Data Processing, pages 297-307
A Fuzzy-Based Approach for Selection of Radio Access Technologies in 5G Wireless Networks
Publication type: Book Chapter
Publication date: 2023-02-11
Q3
SJR: 0.128
CiteScore: 0.9
Impact factor: —
ISSN: 23674512, 23674520
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 and are supposed to give User Equipment (UE) the ability to connect with the appropriate Radio Access Technology (RAT). However, for the selection of RAT many parameters should be considered, which make the problem HP-hard. For this reason, in this paper, we propose a Fuzzy-based RATs Selection System (FRSS) considering three parameters: Coverage (CV), User Priority (UP) and Spectral Efficiency (SE). From simulation results, we found that when CV, UP and SE are increased, the RAT Decision Value (RDV) parameter value is increased.
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Ampririt P. et al. A Fuzzy-Based Approach for Selection of Radio Access Technologies in 5G Wireless Networks // Artificial Intelligence in Data and Big Data Processing. 2023. pp. 297-307.
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Ampririt P., IKEDA M., Matsuo K., BAROLLI L. A Fuzzy-Based Approach for Selection of Radio Access Technologies in 5G Wireless Networks // Artificial Intelligence in Data and Big Data Processing. 2023. pp. 297-307.
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TY - GENERIC
DO - 10.1007/978-3-031-26281-4_31
UR - https://doi.org/10.1007/978-3-031-26281-4_31
TI - A Fuzzy-Based Approach for Selection of Radio Access Technologies in 5G Wireless Networks
T2 - Artificial Intelligence in Data and Big Data Processing
AU - Ampririt, Phudit
AU - IKEDA, MAKOTO
AU - Matsuo, Keita
AU - BAROLLI, LEONARD
PY - 2023
DA - 2023/02/11
PB - Springer Nature
SP - 297-307
SN - 2367-4512
SN - 2367-4520
ER -
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@incollection{2023_Ampririt,
author = {Phudit Ampririt and MAKOTO IKEDA and Keita Matsuo and LEONARD BAROLLI},
title = {A Fuzzy-Based Approach for Selection of Radio Access Technologies in 5G Wireless Networks},
publisher = {Springer Nature},
year = {2023},
pages = {297--307},
month = {feb}
}