Prediction of the content popularity in the 5G network: Auto-regressive, moving-average and exponential smoothing approaches

Khalil Ibrahimi, Yahia Serbouti. Prediction of the content popularity in the 5G network: Auto-regressive, moving-average and exponential smoothing approaches. In International Conference on Wireless Networks and Mobile Communications, WINCOM 2017, Rabat, Morocco, November 1-4, 2017. pages 1-7, IEEE, 2017. [doi]

Abstract

Abstract is missing.