… to achieve intelligent 5G networks, and demonstrate the effectiveness of AI to manage and
orchestrate cellular network resources. We envision that AI-empowered 5G cellular networks …

… of AI within the cellular domain, while promising, is still in its nascent stages. Below, we
outline key motivations for employing AI-enabled cellular networks. Network Complexity. …

… Artificial Intelligence approach provides optimized results in a challenging task of the call
admission control process in cellular networks… call admission in cellular networks. A structure of …

… of the art of artificial intelligence (AI) in enhancing the performance of cellular networks.
This paper summarizes the AI concept and reviews its applications in cellular network design, …

… Artificial intelligence (AI) technologies have the potential to … of 5G and B5G wireless networks.
AI is “the simulation of human … Current cellular networks designed and operated based on …

… of wireless cellular networks will be almost completely reliant on AI and … machine learning
and artificial neural networks. Section III presents several key types of artificial neural networks …

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 operators to …

… complexity — from new use cases to network function virtualization, large volumes of data, …
change in network operations. Meanwhile, the recent advances in artificial intelligence (AI) …

… artificial intelligence (AI) technologies to analyze and manage the traffic of 5G networks from
network … ventions in network traffic management, but also enable better network performance…

… This work takes into account the value of LTE-U as a proposal that allows cellular network
operators to offload some of their data traffic, and the connotation of AI in the form of RL-LSTM, …