With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …

Innovation and standardization in 5G have brought advancements to every facet of the
cellular architecture. This ranges from the introduction of new frequency bands and …

While there is a clear trend towards network automation through the usage of Artificial
Intelligence (AI) and Machine Learning (ML) solutions, the major reference network …

Cross-tree constraints give feature models maximal expressive power since any
interdependency between features can be captured through arbitrary propositional logic …

The quest for autonomous mobile networks introdu-ces the need for fully native support for
Network Intelligence (NI) algorithms, typically based on Artificial Intelligence tools like …

Starting with 5G, mobile networks moved away from the point-to-point model used by
previous generations towards a Service-Based Architecture (SBA) focused on a Cloudnative …

The rise of the Internet of Things (IoT) has led to an exponential increase in data generated
by connected devices. Machine Learning (ML) has emerged as a powerful tool to analyze …

As network complexity escalates, there is an increasing need for more sophisticated
methods to manage and operate these networks, focusing on enhancing efficiency …

As redes de acesso via rádio (Radio Access Networks–RANs) atuais adotam soluções
monolíticas que implementam toda a pilha de protocolos das comunicações celulares. Essa …

Cross-tree constraints give feature models maximal expressive power since any
interdependency between features can be captured through arbitrary propositional logic …