The rapid evolution of cellular technologies has resulted in a drastic increase in mobile data
traffic. Particularly, in 5G cellular networks, the design of accurate time-series models …

The rapid update of computing power leads to exponential data traffic growth, and the
incidence of network attacks is also increasing. It is significantly important to analyze and …

Network traffic forecasting during holidays is important for efficient congestion management
and capacity planning. Unfortunately, there is not always enough relevant historical data to …

Accurate network traffic prediction of base station cell is very vital for the expansion and
reduction of wireless devices in base station cell. The burst and uncertainty of base station …

An empirical study is described using data collected during 50 architecture audits of large
industrial telecommunications systems performed over a period of two years. The goal of this …

Internet traffic monitoring is to measure and analyse the network bottlenecks to manage the
online data transferring processes efficiently. Various tools have been developed by using …

传统网络流量预测方法大多数关注短期预测, 而长期预测能够更好地指导基站小区无线设备扩缩
容. 集合经验模态分解(ensemble empirical mode decomposition, EEMD) …

The network traffic prediction (NTP) model can help operators predict, adjust, and control
network usage more accurately. Meanwhile, it also reduces network congestion and …

Massive job scheduling problem is an important research area in big data research era. This
paper proposed self-adaptive job scheduling mechanism based on Ant-Genetic Algorithm …

The current 5G deployment of 5G networks is bringing new network capabilities, including
enhanced mobile broadband, ultra-low latency and massive device connectivity. These …