Cellular Network Coverage Hole Detection and Diagnosis Method Using WaveCluster
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9968-0_121
Reference21 articles.
1. Li, W., Wu, Y.: Tree-based coverage hole detection and healing method in wireless sensor networks. Comput. Netw. 103, 33–43 (2016)
2. Liu, X., Chuai, G., Gao, W., Zhang, K.: GA-AdaBoostSVM classifier empowered wireless network diagnosis. EURASIP J. Wirel. Commun. Netw. 2018(1), 1–18 (2018)
3. Nandy, B D., Mondal, K C.: Optimization of coverage hole identification in 5G SON using data mining. In: Tavares, J.M.R.S., Chakrabarti, S., Bhattacharya, A., Ghatak, S. (eds.) Emerging Technologies in Data Mining and Information Security. LNCS, vol. 164, pp. 429–437. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-9774-9_40
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5. Zhao, L., Li, Z., Li, J., et al.: A temporal-information-based adaptive routing algorithm for software defined vehicular networks. In: International Conference on Communications (ICC), pp. 1–6. IEEE, Shanghai (2019)
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