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...

Fifth-generation cellular networks are introducing new capabilities to significantly enhance positioning accuracy through wideband reference signals specifically designed for time-based...

Research projects have a secret life that most PhD students and postdoctoral researchers are not always aware of. Beyond scientific...

Until now, most quantum network deployments have focused primarily on QKD, one of the most mature quantum technologies, where the...

Federated Learning (FL) enables training over sensitive, distributed data without centralizing it, but the canonical server-based architecture introduces a single...