Abstract
Heterogeneous network convergence, as the current development trend of wireless communication network systems, has attracted the attention and research of many experts. In order to solve the problem of incomplete handover decision parameters and single decision algorithm in 5G heterogeneous network handover system, an M-F-U hybrid algorithm based on the multiple attribute decision making (MADM), fuzzy logic, and utility function is proposed. First, the decision parameters are divided into two parts, which are calculated by the MADM and fuzzy logic methods, the results obtained as the input of the utility function, secondly, the risk attitude coefficient is introduced into the utility function to describe the user’s tolerance for switching risk, then, Then calculate the value of the comprehensive utility function, and finally, choose the optimal network scheme according to the comprehensive utility value. The simulation results show that compared with the traditional algorithm, the M-F-U algorithm can improve the handover accuracy, reduce the number of handovers, and complete the switching decision in a short time.
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Acknowledgment
This work comes from a major project in Chongqing, “R&D and application of 5G road test instruments (No. cstc2019jscx-zdztzxX0002)”.
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Liu, H., Cheng, F., Deng, B. (2021). Network Select in 5G Heterogeneous Environment by M-F-U Hybrid Algorithm. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_24
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DOI: https://doi.org/10.1007/978-3-030-67720-6_24
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