In this article, we propose a big data based analysis framework to analyze and extract
network behaviors in cellular networks for Industry 4.0 applications from a big data …

This paper uses big data technologies to study base stations' behaviors and activities and
their predictability in mobile cellular networks. With new technologies quickly appearing …

Network traffic monitoring and analysis is of theoretical and practical significance for
optimizing network resource and improving user experience. However, existing solutions …

Mobile networks possess information about the users as well as the network. Such
information is useful for making the network end-to-end visible and intelligent. Big data …

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 …

The next generation wireless networks are expected to operate in fully automated fashion to
meet the burgeoning capacity demand and to serve users with superior quality of …

5G cellular networks come with many new features compared to the legacy cellular
networks, such as network data analytics function (NWDAF), which enables the network …

The worldwide rollout of 4G LTE mobile communication networks has accelerated the
proliferation of the mobile Internet and spurred a new wave of mobile applications on …

During the past decade, Industry 4.0 has greatly promoted the improvement of industrial
productivity by introducing advanced communication and network technologies in the …

With the advancement of new technologies, the number of connected devices, the amount of
data generated, and the need to build an intelligently connected network of things to …