… has the potential to revolutionize the study of city dynamics. Thus, the use of cellular data
for intelligent monitoring of traffic has become popular. Understanding the mobility could take …

… Jin, “Characterizing the spatio-temporal inhomogeneity of mobile traffic in large-scale
cellular data networks,” in Proc. ACM Int. Workshop Hot Topics Planet-scale Mobile Comput. …

… traffic flow passing by an individual cross line on a road. We still lack a full sketch of the overall
spatial–temporal dynamics of traffic … traffic phenomena recovered by the trajectory data in …

… This paper presents a single go-to manuscript where future researchers not only understand
the 3GPP mobility procedure and the existing mobility related literature but also assist them …

… Many new traffic classification techniques have been developed … network traffic classification
in order to deliver a holistic perspective. This paper carefully reviews existing network traffic …

… on analyzing network data with the objective of defining network slices according to traffic
flow … Finally, we analyze network data to define network slices according to the traffic flow …

… data approaches to understand network traffic data in that work. Moreover, they briefly reviewed
big data … Hence, to ease understanding the requirements for analysis of the data, we find …

… using mobile phone tracking data, which have higher penetration and a finer temporal scale.
Second, the results of this study provide a deeper understanding … from mobile phone data. …

… ability of the network but also transmit the data only as the data plane, … traffic based on
convolutional neural networks. By predicting the traffic of each cell in the control domain, the traffic …

… We use vanilla LSTM for comparison because it does not use handover information, and
our goal is to understand the effect of using handover information; multi-task LSTM is adapted …