Network dimensioning is a critical task in current mobile networks, as any failure in this
process leads to degraded user experience or unnecessary upgrades of network resources …

The evolution of cellular technology development has led to explosive growth in cellular
network traffic. Accurate time‐series models to predict cellular mobile traffic have become …

In cellular networks, a deep knowledge of the traffic demand pattern in each cell is essential
in network planning and optimization tasks. However, a precise forecast of the traffic time …

An industrial cyber–physical system (ICPS) tightly integrating both physical processes and
information and communication technologies (ICTs) leads to increasing cyberspace threats …

Deep learning technologies have been widely exploited to predict mobile traffic. However,
individually training deep learning models for various traffic prediction tasks is not only time …

In order to help governments in energy development programming and also public service
operators and network managers to have better planning for managing electricity demand …

Network performance monitoring collects heterogeneous data suchas network flow data to
give an overview of network performance, and other metrics, necessary for diagnosing and …

Network traffic has been a critical issue that has attracted massive attention in network
operations research and the industry. This paper tackles the need to understand traffic …

In this letter, the problem of jamming data prediction in wireless communications is
investigated. Both time and frequency domains are considered to construct the multi‐domain …

In recent decades, the development of wireless technologies incurs explosive mobile traffic
growth. To address the rapidly growing traffic demand, operators deploy more base stations …