Radio Access Networks (RANs) are critical infrastructures that mobile operators continuously upgrade to accommodate increasing data traffic demands, stricter performance...

Deep Reinforcement Learning (DRL) is a promising tool for adaptive network control, but most DRL agents remain reactive: they make...

The rollout of 5G represents a significant advancement in the telecommunications industry, offering the potential for markedly enhanced speeds, reduced...

This work investigates the feasibility of delivering distributed online multi-party gaming experiences over wireless networks using Multi-access Edge Computing (MEC)...

Machine Learning approaches for traffic forecasting are increasingly being explored to improve resource allocation in mobile networks. However, these models...

Welcome to sunny Spain! Now that you’ve discovered flamenco, tapas, paella, and late-night dinners, it’s time to meet another essential...

For centuries, humanity lived under the illusion of a flat Earth. It wasn’t a trick of the mind, but a...

The talk introduces TikZ and PGFPlots, two LaTeX-based packages for producing high-quality vector graphics and scientific plots. It explains their...

Network operation relies on heuristics to solve many tasks rapidly and efficiently across the protocol stack. These heuristics are the...

Quantum networks are becoming increasingly important because of advancements in quantum computing, especially, developments in distributed quantum computing and federated...