Antonio G. Marqués

CoRR, 2024

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints.

[BibT_eX]

[DOI]

CoRR, 2024

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior.

[BibT_eX]

[DOI]

CoRR, 2024

Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series.

[BibT_eX]

[DOI]

CoRR, 2024

Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Blind Deconvolution of Sparse Graph Signals in the Presence of Perturbations.

[BibT_eX]

[DOI]

Victor M. Tenorio

Proceedings of the IEEE International Conference on Acoustics, 2024

Recovering Missing Node Features with Local Structure-Based Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Tensor Low-Rank Approximation of Finite-Horizon Value Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Graphs and Simplicial Complexes from Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating Subpopulation Bias for Fair Network Topology Inference.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data.

[BibT_eX]

[DOI]

Óscar Escudero-Arnanz

Rosa Sicilia

Diana Lelli

Claudio Pedone

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Estimation of partially known Gaussian graphical models with score-based structural priors.

[BibT_eX]

[DOI]

Martin Sevilla

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

dtwParallel: A Python package to efficiently compute dynamic time warping between time series.

[BibT_eX]

[DOI]

Óscar Escudero-Arnanz

Gregorio Robles

SoftwareX, May, 2023

Robust Graph Filter Identification and Graph Denoising From Signal Observations.

[BibT_eX]

[DOI]

Victor M. Tenorio

IEEE Trans. Signal Process., 2023

Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs.

[BibT_eX]

[DOI]

T. Mitchell Roddenberry

IEEE Trans. Signal Process., 2023

Matrix Low-Rank Approximation for Policy Gradient Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Graph Learning from Gaussian and Stationary Graph Signals.

[BibT_eX]

[DOI]

Andrei Buciulea

Proceedings of the IEEE International Conference on Acoustics, 2023

Matrix Low-Rank Trust Region Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Robust Graph Neural Network Based on Graph Denoising.

[BibT_eX]

[DOI]

Victor M. Tenorio

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Untrained Graph Neural Networks for Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables.

[BibT_eX]

[DOI]

Andrei Buciulea

IEEE Trans. Signal Inf. Process. over Networks, 2022

Joint Inference of Multiple Graphs from Matrix Polynomials.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance.

[BibT_eX]

[DOI]

Jose Maria Alonso-Moral

Future Gener. Comput. Syst., 2022

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

A Multi-Resolution Low-Rank Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Joint Inference of Multiple Graphs with Hidden Variables from Stationary Graph Signals.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Joint graph learning from Gaussian observations in the presence of hidden nodes.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs.

[BibT_eX]

[DOI]

David Ramírez

Signal Process., 2021

Robust Graph-Filter Identification with Graph Denoising Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Low-rank State-action Value-function Approximation.

[BibT_eX]

[DOI]

Victor Tenorio

Proceedings of the 29th European Signal Processing Conference, 2021

A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Estimating Network Processes via Blind Identification of Multiple Graph Filters.

[BibT_eX]

[DOI]

Yu Zhu

IEEE Trans. Signal Process., 2020

Invariance-Preserving Localized Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Luana Ruiz

Fernando Gama

Antonio Garcia Marques

IEEE Trans. Signal Process., 2020

Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning.

[BibT_eX]

[DOI]

Vassilis N. Ioannidis

IEEE Trans. Signal Process., 2020

Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data.

[BibT_eX]

[DOI]

Gonzalo Mateos

IEEE Signal Process. Mag., 2020

Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Rethinking sketching as sampling: A graph signal processing approach.

[BibT_eX]

[DOI]

Signal Process., 2020

Generative Adversarial Networks for Graph Data Imputation from Signed Observations.

[BibT_eX]

[DOI]

Amarlingam Madapu

Sundeep Prabhakar Chepuri

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences.

[BibT_eX]

[DOI]

Antonio Garcia Marques

Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019

Convolutional Neural Network Architectures for Signals Supported on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Connecting the Dots: Identifying Network Structure via Graph Signal Processing.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2019

Sampling and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations.

[BibT_eX]

[DOI]

Samuel Rey-Escudero

Cristóbal Cabrera

IEEE Signal Process. Lett., 2019

Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing.

[BibT_eX]

[DOI]

Alireza Sadeghi

Fatemeh Sheikholeslami

IEEE J. Sel. Areas Commun., 2019

Estimation of Network Processes via Blind Graph Multi-filter Identification.

[BibT_eX]

[DOI]

Yu Zhu

Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Network Caching via Dynamic Programming.

[BibT_eX]

[DOI]

Alireza Sadeghi

Proceedings of the IEEE International Conference on Acoustics, 2019

Median Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

A Recurrent Graph Neural Network for Multi-relational Data.

[BibT_eX]

[DOI]

Vassilis N. Ioannidis

Proceedings of the IEEE International Conference on Acoustics, 2019

Aggregation Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

An Underparametrized Deep Decoder Architecture for Graph Signals.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Graph Neural Networks for Predicting Protein Functions.

[BibT_eX]

[DOI]

Vassilis N. Ioannidis

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Convolutional Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Network Reconstruction from Graph-stationary Signals with Hidden Variables.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Rating Prediction via Graph Signal Processing.

[BibT_eX]

[DOI]

Weiyu Huang

IEEE Trans. Signal Process., 2018

Two-Timescale Stochastic Dispatch of Smart Distribution Grids.

[BibT_eX]

[DOI]

Vassilis Kekatos

IEEE Trans. Smart Grid, 2018

Riemann-Langevin Particle Filtering in Track-Before-Detect.

[BibT_eX]

[DOI]

Pranab Kumar Mandal

Melanie Bocquel

Antonio Garcia Marques

IEEE Signal Process. Lett., 2018

Convolutional Neural Networks Architectures for Signals Supported on Graphs.

[BibT_eX]

[DOI]

CoRR, 2018

Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals.

[BibT_eX]

[DOI]

CoRR, 2018

Network Topology Inference From Input-Output Diffusion Pairs.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

MIMO Graph Filters for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Identifying Undirected Network Structure via Semidefinite Relaxation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Reinforcement Learning for 5G Caching with Dynamic Cost.

[BibT_eX]

[DOI]

Alireza Sadeghi

Fatemeh Sheikholeslami

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Demixing and Blind Deconvolution of Graph-Diffused Sparse Signals.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Matrix Completion as Graph Bandlimited Reconstruction.

[BibT_eX]

[DOI]

Weiyu Huang

Sundeep Prabhakar Chepuri

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Distributed Analytical Graph Identification.

[BibT_eX]

[DOI]

Mario Coutino

Geert Leus

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

CNN Architectures for Graph Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Graph Similarity based on Graph Fourier Distances.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Directed Network Topology Inference via Graph Filter Identification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Convolutional Neural Networks via Node-Varying Graph Filters.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Blind Identification of Graph Filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Stationary Graph Processes and Spectral Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Network Topology Inference from Spectral Templates.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

DGLB: Distributed Stochastic Geographical Load Balancing over Cloud Networks.

[BibT_eX]

[DOI]

Tianyi Chen

IEEE Trans. Parallel Distributed Syst., 2017

The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2017

Network topology inference from non-stationary graph signals.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Robust network topology inference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stationary graph processes: Parametric power spectral estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Graph-signal reconstruction and blind deconvolution for diffused sparse inputs.

[BibT_eX]

[DOI]

David Ramírez

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Collaborative filtering via graph signal processing.

[BibT_eX]

[DOI]

Weiyu Huang

Proceedings of the 25th European Signal Processing Conference, 2017

Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing.

[BibT_eX]

[DOI]

Rebeca Goya-Esteban

Rafael García-Carretero

Óscar Barquero-Pérez

Proceedings of the Computing in Cardiology, 2017

L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients.

[BibT_eX]

[DOI]

Rafael García-Carretero

Óscar Barquero-Pérez

Rebeca Goya-Esteban

Proceedings of the Computing in Cardiology, 2017

Design of weighted median graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Joint inference of networks from stationary graph signals.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Reconstruction of Graph Signals Through Percolation from Seeding Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Sampling of Graph Signals With Successive Local Aggregations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Network topology identification from spectral templates.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Stationary graph processes: Nonparametric spectral estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Linear network operators using node-variant graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Blind identification of graph filters with multiple sparse inputs.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Space-shift sampling of graph signals.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Center-weighted median graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization.

[BibT_eX]

[DOI]

Gonzalo Mateos

Yonina C. Eldar

Proceedings of the 24th European Signal Processing Conference, 2016

Network topology identification from imperfect spectral templates.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Rethinking sketching as sampling: Linear transforms of graph signals.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Space-time scheduling for green data center networks.

[BibT_eX]

[DOI]

Tianyi Chen

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions.

[BibT_eX]

[DOI]

Jesus Fernandez-Bes

IEEE J. Sel. Areas Commun., 2015

Distributed Linear Network Operators using Graph Filters.

[BibT_eX]

[DOI]

CoRR, 2015

Underlay multi-hop cognitive networks with orthogonal access.

[BibT_eX]

[DOI]

Sergio Molinero

Proceedings of the 16th IEEE International Symposium on A World of Wireless, 2015

A decomposition method for optimal user assignment in cellular networks with orthogonal transmissions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Reconstruction of graph signals: Percolation from a single seeding node.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Microgrid dispatch and price of reliability using stochastic approximation.

[BibT_eX]

[DOI]

Vassilis Kekatos

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Interpolation of graph signals using shift-invariant graph filters.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Blind identification of graph filters with sparse inputs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Aggregation sampling of graph signals in the presence of noise.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Distributed implementation of linear network operators using graph filters.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Sampling of graph signals: Successive local aggregations at a single node.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2014

Cross-Layer Optimization and Receiver Localization for Cognitive Networks Using Interference Tweets.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2014

Dynamic transmit-power control for WiFi access points based on wireless link occupancy.

[BibT_eX]

[DOI]

Carlos Gandarillas

Carlos Martin-Engenos

Hector Lopez Pombo

Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Joint sensing and resource allocation for underlay cognitive radios.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

A stochastic approximation approach to load shedding inpower networks.

[BibT_eX]

[DOI]

Nikolaos Gatsis

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Asymptotically Optimal Cross-Layer Schemes for Relay Networks with Short-Term and Long-Term Constraints.

[BibT_eX]

[DOI]

Francisco-Javier Simó-Reigadas

Carlos Figuera

Carlos Rey-Moreno

IEEE Trans. Wirel. Commun., 2013

Relating the spectrum of cardiac signals to the spatiotemporal dynamics of cardiac sources.

[BibT_eX]

[DOI]

Jesús Requena-Carrión

Ferney A. Beltrán-Molina

Biomed. Signal Process. Control., 2013

Soft-decision sequential sensing for optimization of interweave Cognitive Radio networks.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Hierarchical spectrum sharing using interference tweets.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation.

[BibT_eX]

[DOI]

Jesús Fernandez-Bes

Proceedings of the ISWCS 2013, 2013

Joint resource allocation and receiver map estimation in underlay cognitive radios.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Primary receiver localization using sparsity and interference tweets.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Optimal Cross-Layer Resource Allocation in Cellular Networks Using Channel- and Queue-State Information.

[BibT_eX]

[DOI]

Antonio J. Caamaño

IEEE Trans. Veh. Technol., 2012

Resource Allocation for Interweave and Underlay CRs Under Probability-of-Interference Constraints.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2012

Underlay Cognitive Radios with Capacity Guarantees for Primary Users

[BibT_eX]

[DOI]

CoRR, 2012

Jointly Optimal Sensing and Resource Allocation for Multiuser Overlay Cognitive Radios

[BibT_eX]

[DOI]

CoRR, 2012

Cognitive radios with ergodic capacity guarantees for primary users.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks, 2012

Underlay cognitive radios with finite transmission modes and capacity guarantees for primary users.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2011

Optimizing Orthogonal Multiple Access Based on Quantized Channel State Information.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Stochastic resource allocation for cognitive radio networks based on imperfect state information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Adaptive underlay cognitive radios with imperfect CSI and probabilistic interference constraints.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010

Optimizing Average Performance of OFDM Systems Using Limited-Rate Feedback.

[BibT_eX]

[DOI]

Ana Belén Rodríguez-González

José Luis Rojo-Álvarez

Jesús Requena-Carrión

IEEE Trans. Wirel. Commun., 2010

Power control for cooperative dynamic spectrum access networks with diverse QoS constraints.

[BibT_eX]

[DOI]

Nikolaos Gatsis

IEEE Trans. Commun., 2010

Stochastic cross-layer resource allocation for wireless networks using orthogonal access: Optimality and delay analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Dynamic resource management for cognitive radios using limited-rate feedback.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Optimal Selective Transmission under Energy Constraints in Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2009

Stochastic resource allocation for orthogonal access based on quantized CSI: Optimality, convergence and delay analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Power-efficient wireless OFDMA using limited-rate feedback.

[BibT_eX]

[DOI]

F. Javier Ramos

IEEE Trans. Wirel. Commun., 2008

Power-Efficient Resource Allocation and Quantization for TDMA Using Adaptive Transmission and Limited-Rate Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Minimizing Transmit Power for Coherent Communications in Wireless Sensor Networks With Finite-Rate Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Optimal stochastic dual resource allocation for cognitive radios based on quantized CSI.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Utility-based power control for peer-to-peer cognitive radio networks with heterogeneous QoS constraints.

[BibT_eX]

[DOI]

Nikolaos Gatsis

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

A Unified Approach to QoS-Guaranteed Scheduling for Channel-Adaptive Wireless Networks.

[BibT_eX]

[DOI]

Proc. IEEE, 2007

Minimizing Power in Wireless OFDMA with Limited-Rate Feedback.

[BibT_eX]

[DOI]

F. Javier Ramos

Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Energy-aware Geographic Forwarding of Prioritized Messages in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 4th International Conference on Mobile Adhoc and Sensor Systems, 2007

Reduced-Complexity Power-Efficient Wireless OFDMA using an Equally Probable CSI Quantizer.

[BibT_eX]

[DOI]

F. Javier Ramos

Proceedings of IEEE International Conference on Communications, 2007

Minimizing Transmit-Power for Coherent Communications in Wireless Sensor Networks using Quantized Channel State Information.

[BibT_eX]

[DOI]

Xing Wang

Proceedings of the IEEE International Conference on Acoustics, 2007

Optimizing Energy Efficiency of TDMA with Finite Rate Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Channel-adaptive resource allocation for cognitive OFDMA RADIOS based on limited-rate feedback.

[BibT_eX]

[DOI]

Proceedings of the 15th European Signal Processing Conference, 2007

2006

Optimizing Power Efficiency of OFDM Using Quantized Channel State Information.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2006

A Bayesian Decision Model for Intelligent Routing in Sensor Networks.

[BibT_eX]

[DOI]

Juan José Vinagre-Díaz

Proceedings of the 3rd IEEE International Symposium on Wireless Communication Systems, 2006

Power-Efficient OFDM via Quantized Channel State Information.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2006

Power-Efficient OFDM with Reduced Complexity and Feedback Overhead.

[BibT_eX]

[DOI]