Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …

The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

Intelligent cellular traffic prediction is very important for mobile operators to achieve resource
scheduling and allocation. In reality, people often need to predict very large scale of cellular …

5G networks are expected to support various services and applications with more stringent
latency, reliability, and bandwidth requirements than previous generations. Open Radio …

Fifth-generation (5G) networks require efficient radio resource management (RRM) which
should dynamically adapt to the current network load and user needs. Monitoring and …

Predicting the behavior of real-time traffic (eg, VoIP) in mobility scenarios could help the
operators to better plan their network infrastructures and to optimize the allocation of …

The number of devices served by baseband stations is constantly increasing due to the
rising data traffic in modern communication systems. In order to support large-scale multi …

Intent-Based Networking mandates that high-level human-understandable intents are
automatically interpreted and implemented by network management entities. As a key part in …

Network performance prediction is crucial for enabling agile capacity planning in mobile
networks. One of the key problems is predicting evolution of spectral efficiency in growing …

The rapid growth of data traffic due to the demands of new services and applications poses
new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution …