David Góez

According to our database, David Góez authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LITE: Lightweight Channel Gain Estimation with Reduced X-Haul CSI Signaling in O-RAN.

David Góez, Marco Piazzola, Giulia Costa, Achiel Colpaert, Rodney Martinez Alonso, Esra Aycan Beyazit, Nina Slamnik-Krijestorac, Johann M. Márquez-Barja, Miguel Camelo Botero

CoRR, April, 2026

Practical Insights from Benchmarking Open-Source 5G Standalone MIMO in Indoor Environments.

Xhulio Limani, Arno Troch, David Góez, Andreas Gavrielides, Miguel Camelo Botero, Johann Marquez-Barja, Nina Slamnik-Krijestorac

Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

2024

Resource-Efficient Spectrum-Based Traffic Classification on Constrained Devices.

David Góez, Esra Aycan Beyazit, Luis Alejandro Fletscher, Juan Felipe Botero, Natalia Gaviria, Steven Latré, Miguel Camelo

IEEE Open J. Commun. Soc., 2024

Computational Efficiency of Deep Learning-Based Super Resolution Methods for 5G-NR Channel Estimation.

David Góez, Esra Aycan Beyazit, Nina Slamnik-Krijestorac, Johann M. Márquez-Barja, Natalia Gaviria, Steven Latré, Miguel Camelo

Proceedings of the IEEE Latin-American Conference on Communications, 2024

2022

A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition.

David Góez, Paola Soto, Steven Latré, Natalia Gaviria, Miguel Camelo

Algorithms, 2022

2021

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.

Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré

Sensors, 2021

Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs.

Francesc Wilhelmi, David Góez, Paola Soto, Ramon Vallés, Mohammad Alfaifi, Abdulrahman Algunayah, Jorge Martín-Pérez, Luigi Girletti, Rajasekar Mohan, K. Venkat Ramnan, Boris Bellalta

CoRR, 2021