Cristian J. Vaca-Rubio

Orcid: 0000-0002-9713-2784

According to our database1, Cristian J. Vaca-Rubio authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN.
CoRR, 2024

F-KANs: Federated Kolmogorov-Arnold Networks.
CoRR, 2024

On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN.
CoRR, 2024

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis.
CoRR, 2024

WI-FI based Indoor Monitoring Enhanced by Multimodal Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
OnRMap: An Online Radio Mapping Approach for Large Intelligent Surfaces.
Proceedings of the IEEE International Conference on Communications, 2023

mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Radio Sensing with Large Intelligent Surface for 6G.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks.
Proceedings of the 20th Mediterranean Communication and Computer Networking Conference, 2022

User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars.
Proceedings of the 30th European Signal Processing Conference, 2022

User Clustering for Rate Splitting using Machine Learning.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Assessing Wireless Sensing Potential With Large Intelligent Surfaces.
IEEE Open J. Commun. Soc., 2021

2020
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting.
Proceedings of the Cognitive Radio-Oriented Wireless Networks, 2020

2019
Application of Deep Learning Techniques to Video QoE Prediction in Smartphones.
Proceedings of the European Conference on Networks and Communications, 2019


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