Volume 4 • Issue 2 • PP: 12–18 • 2024
Fuzzy Logic for the Improving of Handover Decision and the Adaptive Adjustment of Control Parameters in 5G Wireless Networks
Open Access & Copyright
© 2024 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
View PDF Abstract
Handover process is one of the most important aspects of mobility management in 5G wireless networks. It becomes a hot topic for researchers because it constitutes a guarantee of communication continuity during the user's movement, in addition to being the basic step on which the mobility load balancing process depends to distribute the load between the cells.
The focus on this process is whether by providing solutions to improve the handover decision-making, or by modifying the values of the handover control parameters in a way that it guarantees the reduction of handover problems, because the inaccurate or unnecessary modification of these parameters values will cause a degradation in the quality of service. This paper presents a study targeting two mechanisms to improve handover decision-making and selection of handover control parameters adaptively based on different schemes. The first one, based on a learning model called LIM2 and the second one is based on fuzzy logic and is called RHOT-FLC.
The results show that the RHOT-FLC mechanism, which relies on fuzzy logic and takes into account the user's velocity provides better performance in term of average throughput, packet drop rate, average HOPP probability, average HO latency, HO failure.
Keywords
References
[1] S. Alraih, R. Nordin, I. Shayea, N. F. Abdullah, A. Abu-Samah, and A. Alhammadi, “Effectiveness of handover control parameters on handover performance in 5g and beyond mobile networks,” Wireless Communications and Mobile Computing, vol. 2022, pp. 1–18, 2022.
[2] A. Haghrah, M. Pourmohammad Abdollahi, H. Azarhava, and J. Musevi Niya, “A survey on the handover management in 5g-nr cellular networks: Aspects, approaches and challenges,” EURASIP Journal on Wireless Communications and Networking, vol. 2023, no. 1, p. 52, 2023.
[3] W. Tashan, I. Shayea, S. Aldirmaz-Colak, M. Ergen, M. H. Azmi, and A. Alhammadi, “Mobility robustness optimization in future mobile heterogeneous networks: A survey,” IEEE Access, vol. 10, pp. 45 522–45 541, 2022.
[4] S. Alraih, R. Nordin, A. Abu-Samah, I. Shayea, N. F. Abdullah, and A. Alhammadi, “Robust handover opti-mization technique with fuzzy logic controller for be-yond 5g mobile networks,” Sensors, vol. 22, no. 16, p. 6199, 2022.
[5] R. Karmakar, G. Kaddoum, and S. Chattopadhyay, “Mo-bility management in 5g and beyond: A novel smart handover with adaptive time-to-trigger and hysteresis margin,” IEEE Transactions on Mobile Computing, pp. 1–16, 2022.
[6] W. S. Hwang, T. Y. Cheng, Y. J. Wu, and M. H. Cheng, “Adaptive handover decision using fuzzy logic for 5g ultra-dense networks,” Electronics, vol. 11, no. 20, p. 3278, 2022.
[7] W. Tashan, I. Shayea, S. Aldirmaz-Colak, O. A. Aziz, A. Alhammadi, and Y. I. Daradkeh, “Advanced mo-bility robustness optimization models in future mobile networks based on machine learning solutions,” IEEE Access, vol. 10, pp. 111 134–111 152, 2022.
[8] P. Ampririt, S. Higashi, E. Qafzezi, M. Ikeda, K. Matsuo, and L. Barolli, “An intelligent fuzzy-based system for handover decision in 5g-iot networks considering net-work slicing and sdn technologies,” Internet of Things, vol. 23, p. 100870, 2023.
[9] MathWorks, “5G Toolbox Reference,” 2023.
[10] W. K. Saad, I. Shayea, B. J. Hamza, A. Azizan, M. Er-gen, and A. Alhammadi, “Performance evaluation of mobility robustness optimization (mro) in 5g network with various mobility speed scenarios,” IEEE Access, vol. 10, pp. 60 955–60 971, 2022.
Cite This Article
Choose your preferred format
Publisher's Note
The statements, opinions, and data presented in this article are solely those of the author(s) and do not necessarily represent those of ASPG, the journal, or its editors. ASPG and the editors disclaim responsibility for any harm arising from the use of any ideas, methods, instructions, or products described in this article, to the fullest extent permitted by applicable law.