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David Alejandro Urquiza Villalonga
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2020 – today
- 2024
- [j4]David Alejandro Urquiza Villalonga, Daniel Castanheira, Adão Silva, M. Julia Fernández-Getino García, Atílio Gameiro:
Nonlinear Distortion-Aware Interference Alignment for Ultra-Dense Networks. IEEE Trans. Commun. 72(11): 7108-7123 (2024) - [j3]David Alejandro Urquiza Villalonga, M. Julia Fernández-Getino García:
Iterative Partial Construction of Hybrid Beamforming Under Analog Quantized Phase Constraints in Ultra-Dense Networks. IEEE Trans. Veh. Technol. 73(9): 13234-13247 (2024) - 2023
- [c4]David Alejandro Urquiza Villalonga, Alejandro López Barrios, M. Julia Fernández-Getino García:
Hardware evaluation of interference alignment algorithms using USRPs for beyond 5G networks. EUROCON 2023: 394-399 - [c3]David Alejandro Urquiza Villalonga, M. Julia Fernández-Getino García:
Energy-Efficient Hybrid Beamforming Based on Quantization-Aware Matrix Composition for Massive MIMO Millimeter Waves. ICC 2023: 4305-4310 - 2022
- [c2]David Alejandro Urquiza Villalonga, Hatem OdetAlla, M. Julia Fernández-Getino García, Adam Flizikowski:
Performance bounds with precoding matrices compliant with standardized 5G-NR for MIMO transmission. CSCN 2022: 7-12 - 2021
- [j2]David Alejandro Urquiza Villalonga, Felip Riera-Palou, M. Julia Fernández-Getino García, Guillem Femenias:
Deployment of Clustered-Based Small Cells in Interference-Limited Dense Scenarios: Analysis, Design, and Trade-Offs. Wirel. Commun. Mob. Comput. 2021: 9914456:1-9914456:15 (2021) - 2020
- [j1]David Alejandro Urquiza Villalonga, Jorge Torres Gómez, M. Julia Fernández-Getino García:
Optimal Sensing Policy for Energy Harvesting Cognitive Radio Systems. IEEE Trans. Wirel. Commun. 19(6): 3826-3838 (2020) - [c1]David Alejandro Urquiza Villalonga, M. Julia Fernández-Getino García:
Performance comparison of interference alignment algorithms in an energy harvesting scenario. CSNDSP 2020: 1-6
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