This paper proposes a neural 5G traffic generation model and a methodology for calculating
the spectrum requirements of private 5G networks to provide various industrial …

As artificial intelligence (AI) and machine learning (ML) technologies continue to advance,
they are creating innovations in various industrial sectors and are increasingly influencing …

Spatio-temporal cellular network traffic prediction at wide-area level plays an important role
in resource reconfiguration, traffic scheduling and intrusion detection, thus potentially …

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 …

Summary 5G is planned to link not just traditional devices such as tablets and smartphones,
but also smart devices, smart homes, autonomous vehicles, and industry 4.0 which …

The standard for 5G communication exploits the concept of a network slice, defined as a
virtualized subset of the physical resources of the 5G communication infrastructure. As a …

To analyze next-generation mobile networks properly, there is a need to define key
performance indicators (KPIs). Testing signaling only or just partial domains of the network …

The digital transformation of Industry 4.0 is driven by the automation of manufacturing
processes. In this context, communication plays a vital role and the emergence of 5G …

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 maturity of 5G technology provides a guarantee for increasingly large communication
networks, while the resources required for communication and computation are also …