Performance comparison of interference alignment algorithms in an energy harvesting scenario. - David Alejandro Urquiza Villalonga; M. Julia Fernández-Getino García (CSNDSP, 2020)

Optimal Sensing Policy for Energy Harvesting Cognitive Radio Systems. - David Alejandro Urquiza Villalonga; Jorge Torres Gómez; M. Julia Fernández-Getino García (IEEE Trans. Wirel. Commun., 2020)

Deployment of Clustered-Based Small Cells in Interference-Limited Dense Scenarios: Analysis, Design, and Trade-Offs. - David Alejandro Urquiza Villalonga; Felip Riera-Palou; M. Julia Fernández-Getino García; Guillem Femenias (Wirel. Commun. Mob. Comput., 2021)

Performance bounds with precoding matrices compliant with standardized 5G-NR for MIMO transmission. - David Alejandro Urquiza Villalonga; Hatem OdetAlla; M. Julia Fernández-Getino García; Adam Flizikowski (CSCN, 2022)

Hardware evaluation of interference alignment algorithms using USRPs for beyond 5G networks. - David Alejandro Urquiza Villalonga; Alejandro López Barrios; M. Julia Fernández-Getino García (EUROCON, 2023)

Energy-Efficient Hybrid Beamforming Based on Quantization-Aware Matrix Composition for Massive MIMO Millimeter Waves. - David Alejandro Urquiza Villalonga; M. Julia Fernández-Getino García (ICC, 2023)

Iterative Partial Construction of Hybrid Beamforming Under Analog Quantized Phase Constraints in Ultra-Dense Networks. - David Alejandro Urquiza Villalonga; M. Julia Fernández-Getino García (IEEE Trans. Veh. Technol., 2024)

Nonlinear Distortion-Aware Interference Alignment for Ultra-Dense Networks. - David Alejandro Urquiza Villalonga; Daniel Castanheira; Adão Silva; M. Julia Fernández-Getino García; Atílio Gameiro (IEEE Trans. Commun., 2024)