A heterogeneous ultra-dense 5G network selection algorithm based on fuzzy-gray ideal solution

Binhan Zhu; Jianli Xie; Cuiran Li

doi:10.1117/12.2689568

10 August 2023 A heterogeneous ultra-dense 5G network selection algorithm based on fuzzy-gray ideal solution

Binhan Zhu, Jianli Xie, Cuiran Li

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127481D (2023) https://doi.org/10.1117/12.2689568
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

In the heterogeneous ultra-dense 5G network environment, a more flexible network selection algorithm is needed to improve user quality of service (QoS) due to the intensive network deployment and the diversity of user terminal business types. In this paper, a network selection algorithm based on fuzzy-gray ideal solution is proposed, and the decision parameters are dynamically selected according to service QoS requirements. At the same time, without fuzzy reasoning, a gray ideal solution network scoring method based on threshold judgment is designed by combining gray correlation with ideal sorting algorithm. Simulation results show that the proposed algorithm can effectively reduce switching delay and improve the accuracy of network selection.

Citation Download Citation

Binhan Zhu, Jianli Xie, and Cuiran Li "A heterogeneous ultra-dense 5G network selection algorithm based on fuzzy-gray ideal solution", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127481D (10 August 2023); https://doi.org/10.1117/12.2689568

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