Clustering Research in Fifth Generation Mobile Communication Networks
Author:
Publisher
Journal of Engineering Technology and Applied Science
Subject
General Medicine
Reference32 articles.
1. Bruschi, R. et al., 2019. A Multi-Clustering Approach to Scale Distributed Tenant Networks for Mobile Edge Computing. IEEE Journal on Selected Areas in Communications, 37(3), pp.499–514.
2. Le, L.-V. et al., 2018. Applying Big Data, Machine Learning, and SDN/NFV to 5G Traffic Clustering, Forecasting, and Management. In 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft). pp. 168–176.
3. Sucasas, V. et al., 2016. A survey on clustering techniques for cooperative wireless networks. Ad Hoc Networks, 47, pp.53–81.
4. Chun, Y.J. et al., 2017. A Comprehensive Analysis of 5G Heterogeneous Cellular Systems Operating Over $$\backslash$kappa $-$$\backslash$mu $ Shadowed Fading Channels. IEEE Transactions on Wireless Communications, 16(11), pp.6995–7010.
5. Ke, S. et al., 2017. An adaptive clustering approach for small cell in ultra-dense networks. In 2017 9th International Conference on Advanced Infocomm Technology (ICAIT). pp. 421–425.
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