Cristian J. Vaca-Rubio

According to our database, Cristian J. Vaca-Rubio authored at least 21 papers between 2019 and 2025.

Collaborative distances:

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

2025

On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-enabled Non-Terrestrial Networks.

Jorge Baranda, Màrius Caus, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan, Kapal Dev, Zheng Li, Tomaso de Cola

CoRR, July, 2025

Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks.

Cristian J. Vaca-Rubio, Vaishnavi Kasuluru, Engin Zeydan, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev

IEEE Commun. Stand. Mag., June, 2025

Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction.

Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev

CoRR, March, 2025

Learn More by Using Less: Distributed Learning with Energy-Constrained Devices.

Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2025

UNITY-6G: UNified archITecture for Open RANenabled Distributed, Scalable and SustainabilitYenhanced 6G Networks.

Luis Blanco, Selva Via, Cristian J. Vaca-Rubio, Engin Zeydan, Luis Miguel Contreras Murillo, Gil Kedar, Gianluca Rizzo Antonio, Angelos Antonopoulos, Jetmir Haxhibeqiri, Vasilis Maglogiannis, Dries Naudts, Jeroen Hoebeke, Tomaso de Cola, Lorenzo Galati-Giordano, Gianluca Fontanesi, Sotirios T. Spantideas, Harilaos Koumaras, Massimo Neri, Andrea Vesco, Carla Amatetti, Nuria Candelaria Trujillo Quijada, Marcin Dryjanski, Nikolaos Kanakaris, Carina Pamminger, Matteo Pagin, Filip Ivanovic

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2025

F-KANs: Federated Kolmogorov-Arnold Networks.

Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Abdullah Aydeger

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

Object Trajectory Estimation With Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi.

Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski

IEEE J. Sel. Top. Signal Process., July, 2024

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

Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus

CoRR, 2024

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

Vaishnavi Kasuluru, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan

Proceedings of the 35th IEEE International Symposium on Personal, 2024

WI-FI based Indoor Monitoring Enhanced by Multimodal Fusion.

Chiori Hori, Pu Wang, Mahbub Rahman, Cristian J. Vaca-Rubio, Sameer Khurana, Anoop Cherian, Jonathan Le Roux

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Vaishnavi Kasuluru, Luis Blanco, Miguel Ángel Vázquez, Cristian J. Vaca-Rubio, Engin Zeydan

Proceedings of the 20th International Conference on Network and Service Management, 2024

2023

OnRMap: An Online Radio Mapping Approach for Large Intelligent Surfaces.

Herman Lucas dos Santos, Victor Croisfelt, Cristian J. Vaca-Rubio, Taufik Abrão, Petar Popovski

Proceedings of the IEEE International Conference on Communications, 2023

mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning.

Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski

Proceedings of the IEEE International Conference on Acoustics, 2023

Radio Sensing with Large Intelligent Surface for 6G.

Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface.

Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski

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.

Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Salman Mohebi, Dariush Salami, Elisabeth de Carvalho, Petar Popovski, Stephan Sigg, Michele Zorzi, Andrea Zanella

Proceedings of the 20th Mediterranean Communication and Computer Networking Conference, 2022

User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars.

Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng-Hua Tan, Stephan Sigg

Proceedings of the 30th European Signal Processing Conference, 2022

User Clustering for Rate Splitting using Machine Learning.

Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Xavier Mestre, Andrea Zanella, David Gregoratti, Elisabeth de Carvalho, Petar Popovski

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Assessing Wireless Sensing Potential With Large Intelligent Surfaces.

Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski

IEEE Open J. Commun. Soc., 2021

2020

A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting.

Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Robin Jess Williams, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski

Proceedings of the Cognitive Radio-Oriented Wireless Networks, 2020

2019

Application of Deep Learning Techniques to Video QoE Prediction in Smartphones.

Carlos Cárdenas Angelat, Janie Baños Polglase, Cristian J. Vaca-Rubio, Mari Carmen Aguayo Torres

Proceedings of the European Conference on Networks and Communications, 2019