Cristian J. Vaca-Rubio

37 papers B 2Misc 3Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI-Empowered Multivariate Probabilistic Forecasting: A Key Enabler for Sustainability in Open RAN.
IEEE Trans. Netw. Serv. Manag.
Vaishnavi Kasuluru, Luis Blanco Botana, Cristian J. Vaca-Rubio, Engin Zeydan, Albert Bel
2026 J jnl
Cloud-Native Multivariate Probabilistic Forecasting for Next-Generation Resource Allocation in O-RAN.
IEEE Access
Vaishnavi Kasuluru, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan, Angelos Antonopoulos, Albert Bel
2025 J jnl
A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting.
CoRR
Cristian J. Vaca-Rubio, Roberto Pereira, Luis Blanco, Engin Zeydan, Màrius Caus
2025 — conf
F-KANs: Federated Kolmogorov-Arnold Networks.
CCNC
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Abdullah Aydeger
2025 J jnl
Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction.
CoRR
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev
2025 — conf
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices.
PerCom Workshops
Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco
2025 J jnl
On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-Enabled Non-Terrestrial Networks.
IEEE Open J. Commun. Soc.
Jorge Baranda, Màrius Caus, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan, Kapal Dev, Zheng Li, Tomaso de Cola
2025 J jnl
On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-enabled Non-Terrestrial Networks.
CoRR
Jorge Baranda, Màrius Caus, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan, Kapal Dev, Zheng Li, Tomaso de Cola
2025 J jnl
Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks.
CoRR
Cristian J. Vaca-Rubio, Vaishnavi Kasuluru, Engin Zeydan, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev
2025 J jnl
Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks.
IEEE Commun. Stand. Mag.
Cristian J. Vaca-Rubio, Vaishnavi Kasuluru, Engin Zeydan, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev
2025 J jnl
Semantic Non-Terrestrial Communications With Open RAN-Enabled 6G.
IEEE Commun. Stand. Mag.
Engin Zeydan, Luis Blanco, Cristian J. Vaca-Rubio, Màrius Caus, Kapal Dev
2025 — conf
UNITY-6G: UNified archITecture for Open RANenabled Distributed, Scalable and SustainabilitYenhanced 6G Networks.
EuCNC/6G Summit
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
2024 J jnl
F-KANs: Federated Kolmogorov-Arnold Networks.
CoRR
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Abdullah Aydeger
2024 — conf
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis.
GLOBECOM (Workshops)
Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus
2024 J jnl
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis.
CoRR
Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus
2024 J jnl
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices.
CoRR
Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco
2024 B conf
Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN.
CNSM
Vaishnavi Kasuluru, Luis Blanco, Miguel Ángel Vázquez, Cristian J. Vaca-Rubio, Engin Zeydan
2024 J jnl
Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN.
CoRR
Vaishnavi Kasuluru, Luis Blanco, Miguel Ángel Vázquez, Cristian J. Vaca-Rubio, Engin Zeydan
2024 J jnl
Object Trajectory Estimation With Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi.
IEEE J. Sel. Top. Signal Process.
Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski
2024 B conf
On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN.
PIMRC
Vaishnavi Kasuluru, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan
2024 J jnl
On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN.
CoRR
Vaishnavi Kasuluru, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan
2024 Misc conf
WI-FI based Indoor Monitoring Enhanced by Multimodal Fusion.
ICASSP
Chiori Hori, Pu Wang, Mahbub Rahman, Cristian J. Vaca-Rubio, Sameer Khurana, Anoop Cherian, Jonathan Le Roux
2023 — conf
OnRMap: An Online Radio Mapping Approach for Large Intelligent Surfaces.
ICC Workshops
Herman Lucas dos Santos, Victor Croisfelt, Cristian J. Vaca-Rubio, Taufik Abrão, Petar Popovski
2023 Misc conf
Radio Sensing with Large Intelligent Surface for 6G.
ICASSP
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho
2023 Misc conf
mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning.
ICASSP
Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski
2022 — conf
Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks.
MedComNet
Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Salman Mohebi, Dariush Salami, Elisabeth de Carvalho, Petar Popovski, Stephan Sigg, Michele Zorzi, Andrea Zanella
2022 J jnl
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface.
CoRR
Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2022 — conf
Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface.
MLSP
Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2022 — conf
User Clustering for Rate Splitting using Machine Learning.
EUSIPCO
Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Xavier Mestre, Andrea Zanella, David Gregoratti, Elisabeth de Carvalho, Petar Popovski
2022 J jnl
User Clustering for Rate Splitting using Machine Learning.
CoRR
Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Xavier Mestre, Andrea Zanella, David Gregoratti, Elisabeth de Carvalho, Petar Popovski
2022 — conf
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars.
EUSIPCO
Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng-Hua Tan, Stephan Sigg
2022 J jnl
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars.
CoRR
Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng-Hua Tan, Stephan Sigg
2021 J jnl
Assessing Wireless Sensing Potential With Large Intelligent Surfaces.
IEEE Open J. Commun. Soc.
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2020 — conf
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting.
CrownCom
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Robin Jess Williams, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2020 J jnl
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting.
CoRR
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Robin Jess Williams, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2020 J jnl
Assessing Wireless Sensing Potential with Large Intelligent Surfaces.
CoRR
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2019 — conf
Application of Deep Learning Techniques to Video QoE Prediction in Smartphones.
EuCNC
Carlos Cárdenas Angelat, Janie Baños Polglase, Cristian J. Vaca-Rubio, Mari Carmen Aguayo Torres