论文信息 - Big-Data-Driven Dynamic Clustering and Load Balancing of Virtual Base Stations for 5G Fronthaul Network - 字舞流文

Big-Data-Driven Dynamic Clustering and Load Balancing of Virtual Base Stations for 5G Fronthaul Network

A big-data-driven dynamic clustering and load balancing scheme of virtual base stations for 5G fronthaul network is proposed. The comparison of load balancing factor shows that the optimization effect of the scheme is obvious.

Min Zhang | Danshi Wang | Chuang Song | Luyao Guan | Minghui Wang | Huiting Lu | Danshi Wang | Min Zhang | Luyao Guan | Huiting Lu | Minghui Wang | Chuang Song

[1] Feng Liu,et al. Monitoring and analyzing big traffic data of a large-scale cellular network with Hadoop , 2014, IEEE Network.

[2] Zhifeng Zhao,et al. The Learning and Prediction of Application-Level Traffic Data in Cellular Networks , 2016, IEEE Transactions on Wireless Communications.

[3] Jeffrey G. Andrews,et al. An overview of load balancing in hetnets: old myths and open problems , 2013, IEEE Wireless Communications.

[4] Depeng Jin,et al. Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment , 2015, Internet Measurement Conference.

[5] Wenchao Xu,et al. Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges, and Opportunities , 2018, IEEE Communications Magazine.

[6] Lusheng Ji,et al. Characterizing geospatial dynamics of application usage in a 3G cellular data network , 2012, 2012 Proceedings IEEE INFOCOM.