Abstract
In consideration of the complexity and difficulty of network evaluation, we propose a “difficulty & beauty” network evaluation framework based on the interval number eigenvector method. In the proposed framework, we adopt the interval number eigenvector method to calculate the weight of each indicator, while its score is obtained from the network test results or expert recommendations. The weighted product and weighted sum methods are used for the aggregation of quantitative indicators and qualitative indicators to obtain the final score of the network. Finally, the feasibility and effectiveness of the proposed framework is verified by numerical experiments.
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Acknowledgement
This work was supported partially by Zhejiang Provincial Natural Science Foundation of China under Grant LY21F010008 and the National Natural Science Foundation of China (No. 62171412, No. 61871348), and by the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2020D10).
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yang, P., Zhang, Y., Peng, H., Huang, G., Lu, W., Gao, Y. (2022). Difficulty-and-Beauty Network Evaluation with Interval Number Eigenvector Method. In: Shi, S., Ma, R., Lu, W. (eds) 6GN for Future Wireless Networks. 6GN 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-031-04245-4_9
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DOI: https://doi.org/10.1007/978-3-031-04245-4_9
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