Communication networks are important infrastructures in contemporary society. There are
still many challenges that are not fully solved and new solutions are proposed continuously …

Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …

With the implementation of the freeway free policy during the holidays, traffic congestion in
the freeway becomes a common phenomenon. In order to alleviate traffic pressure, traffic …

Network traffic prediction is essential and significant to network management and network
security. Existing prediction methods cannot well capture the temporal–spatial correlations …

With the rapid growing trend of Internet, prediction‐based network operation optimization
and management has drawn the attention from both the academia and the industry. For …

Rapid growth of network traffic causes the need for the development of new network
technologies. Artificial intelligence provides suitable tools to improve currently used network …

Deep learning-based techniques are the state of the art in road traffic prediction or
forecasting. Several deep neural networks have been proposed to predict the traffic but they …

Distributed large-scale cyber attacks targeting the availability of computing and network
resources still remains a serious threat. In order to limit the effects caused by those attacks …

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 …

Traffic matrix (TM) is a critical information for network operation and management, especially
for traffic engineering (TE). Due to the technical and mercantile problems, real time …