119 citations · 130 across the 18 of their papers we have counts for
21 papers
Semantic CSI Feedback for Beam Selection: When Task-Aware Embeddings from Sparse Pilots Outperform Full-Bandwidth Reconstruction
Cristian J. Vaca-Rubio, Konstantinos Vandikas, Aneta Vulgarakis Feljan
Classical CSI feedback in FDD massive MIMO transmits a compressed reconstruction of the channel, optimizing fidelity to the original signal regardless of the downstream task. We pr…
Goal-oriented probabilistic forecasting for dynamic PRB allocation in 5G networks
Oier Larumbe-Lizarraga, Roberto Pereira, Cristian J. Vaca-Rubio
Efficient physical resource block (PRB) allocation in 5G networks requires accurate demand forecasting. Conventional methods minimize symmetric error metrics (MAE, RMSE), ignoring…
A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
Cristian J. Vaca-Rubio, Roberto Pereira, Luis Blanco +2
This work introduces Probabilistic Kolmogorov-Arnold Network (P-KAN), a novel probabilistic extension of Kolmogorov-Arnold Networks (KANs) for time series forecasting. By replacing…
On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-enabled Non-Terrestrial Networks
Jorge Baranda, Marius Caus, Luis Blanco +5
The integration of Terrestrial Networks (TNs) with Non-Terrestrial Networks (NTNs) poses unique architectural and functional challenges due to heterogeneous propagation conditions,…
Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks
Cristian J. Vaca-Rubio, Vaishnavi Kasuluru, Engin Zeydan +4
Efficient resource management is critical for Non-Terrestrial Networks (NTNs) to provide consistent, high-quality service in remote and under-served regions. While traditional sing…
Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco +3
Non-Terrestrial Networks (NTNs) are becoming a critical component of modern communication infrastructures, especially with the advent of Low Earth Orbit (LEO) satellite systems. Tr…
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices
Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco
Federated Learning (FL) has emerged as a solution for distributed model training across decentralized, privacy-preserving devices, but the different energy capacities of participat…
Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN
Vaishnavi Kasuluru, Luis Blanco, Miguel Angel Vazquez +2
This paper deals with the problem of energy consumption minimization in Open RAN cell-free (CF) massive Multiple-Input Multiple-Output (mMIMO) systems under minimum per-user signal…
On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN
Vaishnavi Kasuluru, Luis Blanco, Cristian J. Vaca-Rubio +1
The transition to sustainable Open Radio Access Network (O-RAN) architectures brings new challenges for resource management, especially in predicting the utilization of Physical Re…
F-KANs: Federated Kolmogorov-Arnold Networks
Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco +3
In this paper, we present an innovative federated learning (FL) approach that utilizes Kolmogorov-Arnold Networks (KANs) for classification tasks. By utilizing the adaptive activat…
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira +1
This paper introduces a novel application of Kolmogorov-Arnold Networks (KANs) to time series forecasting, leveraging their adaptive activation functions for enhanced predictive mo…
Proximal Policy Optimization for Integrated Sensing and Communication in mmWave Systems
Cristian J. Vaca-Rubio, Carles Navarro Manchón, Ramoni Adeogun +1
In wireless communication systems, mmWave beam tracking is a critical task that affects both sensing and communications, as it is related to the knowledge of the wireless channel.…
EMF Exposure Mitigation in RIS-Assisted Multi-Beam Communications
Herman L. dos Santos, Cristian J. Vaca-Rubio, Radosław Kotaba +3
This paper proposes a method for reducing {third-party} exposure to electromagnetic fields (EMF) by exploiting the capability of a reconfigurable intelligent surfaces' (RIS) to man…
OnRMap: An Online Radio Mapping Approach for Large Intelligent Surfaces
Herman L. Santos, Victor Croisfelt, Cristian J. Vaca-Rubio +2
We introduce OnRMap, an online radio mapping (RMap) approach for the sensing and localization of active users (AUs), devices that are transmitting radio signals, and passive elemen…
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface
Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre +4
Environmental scene reconstruction is of great interest for autonomous robotic applications, since an accurate representation of the environment is necessary to ensure safe interac…
User Clustering for Rate Splitting using Machine Learning
Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio +5
Hierarchical Rate Splitting (HRS) schemes proposed in recent years have shown to provide significant improvements in exploiting spatial diversity in wireless networks and provide h…
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski +3
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing has the potential to become a universal sensing mechanism with applications in localization, smart-home,…
Radio Sensing with Large Intelligent Surface for 6G
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen +2
This paper leverages the potential of Large Intelligent Surface (LIS) for radio sensing in 6G wireless networks. Major research has been undergone about its communication capabilit…
Energy-Efficient Design for RIS-assisted UAVcommunications in beyond-5G Networks
Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Salman Mohebi +6
The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication t…
Assessing Wireless Sensing Potential with Large Intelligent Surfaces
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen +3
Sensing capability is one of the most highlighted new feature of future 6G wireless networks. This paper addresses the sensing potential of Large Intelligent Surfaces (LIS) in an e…
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Robin Jess Williams +4
One of the beyond-5G developments that is often highlighted is the integration of wireless communication and radio sensing. This paper addresses the potential of communication-sens…