Discovering periodic patterns for large scale mobile traffic data: Method and applications

H Shi, Y Li - IEEE Transactions on Mobile Computing, 2018 - ieeexplore.ieee.org
Understanding the temporal traffic load profile of cellular networks is extremely valuable to
many network operation tasks in large mobile networks. Such knowledge is useful for …

Big data driven mobile traffic understanding and forecasting: A time series approach

F Xu, Y Lin, J Huang, D Wu, H Shi… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Understanding and forecasting mobile traffic of large scale cellular networks is extremely
valuable for service providers to control and manage the explosive mobile data, such as …

Spatio-temporal analysis and prediction of cellular traffic in metropolis

X Wang, Z Zhou, F Xiao, K Xing, Z Yang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial
and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic …

Understanding mobile traffic patterns of large scale cellular towers in urban environment

F Xu, Y Li, H Wang, P Zhang… - IEEE/ACM transactions on …, 2016 - ieeexplore.ieee.org
Understanding mobile traffic patterns of large scale cellular towers in urban environment is
extremely valuable for Internet service providers, mobile users, and government managers …

Mining and modelling the dynamic patterns of service providers in cellular data network based on big data analysis

L Jun, L Tingting, C Gang, Y Hua… - China …, 2013 - ieeexplore.ieee.org
Understanding the dynamic traffic and usage characteristics of data services in cellular
networks is important for optimising network resources and improving user experience …

Characterizing the spatio-temporal inhomogeneity of mobile traffic in large-scale cellular data networks

H Wang, J Ding, Y Li, P Hui, J Yuan, D Jin - … on Hot Topics in Planet-scale …, 2015 - dl.acm.org
As the volume of mobile traffic has been growing quickly in recent years, reducing the
congestion of mobile networks has become an important problem of networking research …

Understanding mobile traffic patterns of large scale cellular towers in urban environment

H Wang, F Xu, Y Li, P Zhang, D Jin - Proceedings of the 2015 Internet …, 2015 - dl.acm.org
Understanding mobile traffic patterns of large scale cellular towers in urban environment is
extremely valuable for Internet service providers, mobile users, and government managers …

Classifying call profiles in large-scale mobile traffic datasets

D Naboulsi, R Stanica, M Fiore - IEEE INFOCOM 2014-IEEE …, 2014 - ieeexplore.ieee.org
Cellular communications are undergoing significant evolutions in order to accommodate the
load generated by increasingly pervasive smart mobile devices. Dynamic access network …

Understanding and predicting data hotspots in cellular networks

A Nika, A Ismail, BY Zhao, S Gaito, GP Rossi… - Mobile Networks and …, 2016 - Springer
The unprecedented growth in mobile data usage is posing significant challenges to cellular
operators. One key challenge is how to provide quality of service to subscribers when their …

Characterizing and modeling internet traffic dynamics of cellular devices

MZ Shafiq, L Ji, AX Liu, J Wang - ACM SIGMETRICS Performance …, 2011 - dl.acm.org
Understanding Internet traffic dynamics in large cellular networks is important for network
design, troubleshooting, performance evaluation, and optimization. In this paper, we present …