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 …

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 …

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 …

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 …

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 …

Mobile cellular networks have become both the generators and carriers of massive data. Big
data analytics can improve the performance of mobile cellular networks and maximize the …

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 …

Anomaly detection is a key component in which perturbations from a normal behavior
suggests a misconfigured/mismatched data in related systems. In this paper, we present a …

Understanding mobile traffic patterns of large scale cellular towers in urban environment is
extremely valuable for Internet service providers, mobile users, and government managers …

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 …