Mobile network traffic prediction using MLP, MLPWD, and SVM

AY Nikravesh, SA Ajila, CH Lung… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
Mobile networks are critical for today's social mobility and the Internet. More and more
people are subscribing to mobile networks, which has led to substantial demands. The …

Gaussian process regression based traffic modeling and prediction in high-speed networks

A Bayati, V Asghari, K Nguyen… - 2016 IEEE Global …, 2016 - ieeexplore.ieee.org
Evolving nature of network traffic challenges existing models to fit and predict its behavior. In
particular, real traffic modeling requires more flexible design that can adapt to long-range …

Traffic flow forecasting based on a hybrid model

C Wang, Z Ye - Journal of Intelligent Transportation Systems, 2016 - Taylor & Francis
Real-time traffic flow forecasting is of great importance in the development of advanced
traffic management systems and advanced traveler information systems. Traffic flow is …

Predicting expected TCP throughput using genetic algorithm

CH Benet, A Kassler, E Zola - Computer Networks, 2016 - Elsevier
Predicting the expected throughput of TCP is important for several aspects such as eg
determining handover criteria for future multihomed mobile nodes or determining the …

A framework for capturing, statistically modeling and analyzing the evolution of software models

HS Yazdi, L Angelis, T Kehrer, U Kelter - Journal of Systems and Software, 2016 - Elsevier
This paper presents a new methodological framework for capturing and statistically
modeling the evolution of models in model-driven software development. The framework …

A novel procedure to model and forecast mobile communication traffic by ARIMA/GARCH combination models

QT Tran, L Hao, QK Trinh - 2016 International Conference on …, 2016 - atlantis-press.com
Mobile traffic modeling and forecasting are the key techniques in terms of network
optimization and management because better network management can be achieved …