The Learning and Prediction of Application-Level Traffic Data in Cellular Networks

@article{Li2017TheLA,
  title={The Learning and Prediction of Application-Level Traffic Data in Cellular Networks},
  author={Rongpeng Li and Z. Zhao and J. Zheng and Chengli Mei and Yueming Cai and Honggang Zhang},
  journal={IEEE Transactions on Wireless Communications},
  year={2017},
  volume={16},
  pages={3899-3912}
}
Traffic learning and prediction is at the heart of the evaluation of the performance of telecommunications networks and attracts a lot of attention in wired broadband networks. Now, benefiting from the big data in cellular networks, it becomes possible to make the analyses one step further into the application level. In this paper, we first collect a significant amount of application-level traffic data from cellular network operators. Afterward, with the aid of the traffic “big data,” we make a… Expand
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