no code implementations • 20 Dec 2022 • Sergey S. Tambovskiy, Gábor Fodor, Hugo Tullberg
Cell-free multi-user multiple input multiple output networks are a promising alternative to classical cellular architectures, since they have the potential to provide uniform service quality and high resource utilisation over the entire coverage area of the network.
no code implementations • 16 Oct 2020 • Vidit Saxena, Hugo Tullberg, Joakim Jaldén
In this context, we propose a latent learning model for link adaptation that exploits the correlation between data transmission parameters.
no code implementations • 8 Nov 2019 • Ursula Challita, Henrik A. Ryden, Hugo Tullberg
Artificial intelligence (AI) powered wireless networks promise to revolutionize the conventional operation and structure of current networks from network design to infrastructure management, cost reduction, and user performance improvement.
no code implementations • 28 Feb 2019 • Vidit Saxena, Joseph E. Gonzalez, Ion Stoica, Hugo Tullberg, Joakim Jaldén
We model rate selection as a stochastic multi-armed bandit (MAB) problem, where a finite set of transmission rates are modeled as independent bandit arms.