Albert Cabellos-Aparicio

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 115

Top Venues

Publications

Carlos Güemes-Palau, Miquel Ferriol Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros
Building a Graph-based Deep Learning network model from captured traffic traces. CoRR (2023)
Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
Topological Network Traffic Compression. GNNet@CoNEXT (2023)
Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
Topological Graph Signal Compression. CoRR (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. GNNet@CoNEXT (2023)
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. 5G-MeMZ@SIGCOMM (2023)
Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Detecting Contextual Network Anomalies with Graph Neural Networks. CoRR (2023)
José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37 (3) (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. CoRR (2023)
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. CoRR (2023)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31 (6) (2023)
Taqwa Saeed, Sergi Abadal, Christos Liaskos, Andreas Pitsillides, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Vassos Soteriou, Eduard Alarcón, Ian F. Akyildiz, Marios Lestas
Workload Characterization and Traffic Analysis for Reconfigurable Intelligent Surfaces Within 6G Wireless Systems. IEEE Trans. Mob. Comput. 22 (5) (2023)
Guillermo Bernárdez, José Suárez-Varela, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters. CoRR (2023)
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Leveraging Spatial and Temporal Correlations for Network Traffic Compression. CoRR (2023)
Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT (2023)
Bernat Ollé, Pau Talarn, Albert Cabellos-Aparicio, Filip Lemic, Eduard Alarcón, Sergi Abadal
Multi-channel Medium Access Control Protocols for Wireless Networks within Computing Packages. CoRR (2023)
Krzysztof Rusek, Agnieszka Kleszcz, Albert Cabellos-Aparicio
Bayesian inference of spatial and temporal relations in AI patents for EU countries. Scientometrics 128 (6) (2023)
Bernat Ollé, Pau Talarn, Albert Cabellos-Aparicio, Filip Lemic, Eduard Alarcón, Sergi Abadal
Multi-channel Medium Access Control Protocols for Wireless Networks within Computing Packages. ISCAS (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering. CoRR (2023)
Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR (2022)
Miquel Ferriol Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks 217 (2022)
Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 60 (11) (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. CoRR (2022)
Miquel Ferriol Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP (2022)
Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR (2022)
Hamid Latif, Jordi Paillisse, Jinze Yang, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of graph neural networks for BGP anomaly detection. GNNet@CoNEXT (2022)
Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR (2022)
Hamidreza Taghvaee, Alexandros Pitilakis, Odysseas Tsilipakos, Anna C. Tasolamprou, Nikolaos V. Kantartzis, Maria Kafesaki, Albert Cabellos-Aparicio, Eduard Alarcón, Sergi Abadal
Multiwideband Terahertz Communications Via Tunable Graphene-Based Metasurfaces in 6G Networks: Graphene Enables Ultimate Multiwideband THz Wavefront Control. IEEE Veh. Technol. Mag. 17 (2) (2022)
Ángela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. CoRR (2022)
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. SIGMETRICS Perform. Evaluation Rev. 49 (4) (2022)
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. CoRR (2022)
Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. Comput. Commun. 196 (2022)
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. Comput. Networks 214 (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CoRR (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. AICAS (2022)
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. NOMS (2022)
Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM (2022)
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. CNSM (2022)
Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Digital Twin Network: Opportunities and Challenges. CoRR (2022)
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
ENERO: Efficient Real-Time Routing Optimization. CoRR (2021)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR (2021)
Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Scaling Graph-based Deep Learning models to larger networks. CoRR (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. IEEE Netw. 35 (6) (2021)
Hamidreza Taghvaee, Akshay Jain, Xavier Timoneda, Christos Liaskos, Sergi Abadal, Eduard Alarcón, Albert Cabellos-Aparicio
Radiation Pattern Prediction for Metasurfaces: A Neural Network-Based Approach. Sensors 21 (8) (2021)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. HPSR (2021)
David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. CoRR (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. CoRR (2021)
José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR (2021)
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. CoRR (2021)
Miquel Ferriol Galmés, Albert Cabellos-Aparicio
Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO). INFOCOM Workshops (2021)
José Suárez-Varela, Miquel Ferriol Galmés, Albert Lopez, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51 (3) (2021)
Guillermo Bernárdez, José Suárez-Varela, Albert Lopez, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP (2021)
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos (2021)
Miquel Ferriol Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio
Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR (2020)
Hamidreza Taghvaee, Albert Cabellos-Aparicio, Julius Georgiou, Sergi Abadal
Error Analysis of Programmable Metasurfaces for Beam Steering. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (1) (2020)
Maria Torres Vega, Christos Liaskos, Sergi Abadal, Evangelos Papapetrou, Akshay Jain, Belkacem Mouhouche, Gökhan Kalem, Salih Ergüt, Marian Mach, Tomas Sabol, Albert Cabellos-Aparicio, Christoph Grimm, Filip De Turck, Jeroen Famaey
Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective. J. Netw. Syst. Manag. 28 (4) (2020)
Hamidreza Taghvaee, Sergi Abadal, Alexandros Pitilakis, Odysseas Tsilipakos, Anna C. Tasolamprou, Christos Liaskos, Maria Kafesaki, Nikolaos V. Kantartzis, Albert Cabellos-Aparicio, Eduard Alarcón
Scalability Analysis of Programmable Metasurfaces for Beam Steering. IEEE Access 8 (2020)
Seyed Ehsan Hosseininejad, Kasra Rouhi, Mohammad Neshat, Albert Cabellos-Aparicio, Sergi Abadal, Eduard Alarcón
Digital Metasurface Based on Graphene: An Application to Beam Steering in Terahertz Plasmonic Antennas. CoRR (2020)
Xavier Timoneda, Sergi Abadal, Antonio Franques, Dionysios Manessis, Jin Zhou, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio
Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication. IEEE Trans. Commun. 68 (5) (2020)
Miquel Ferriol Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu
Preventing Route Leaks using a Decentralized Approach: An Experimental Evaluation. ICNP (2020)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. IEEE J. Sel. Areas Commun. 38 (10) (2020)
Taqwa Saeed, Sergi Abadal, Christos Liaskos, Andreas Pitsillides, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Marios Lestas, Eduard Alarcón
Workload Characterization of Programmable Metasurfaces. CoRR (2020)
Miquel Ferriol Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu
Preventing Route Leaks using a Decentralized Approach. Networking (2020)
Hamidreza Taghvaee, Akshay Jain, Xavier Timoneda, Christos Liaskos, Sergi Abadal, Eduard Alarcón, Albert Cabellos-Aparicio
Radiation pattern prediction for Metasurfaces: A Neural Network based approach. CoRR (2020)
Hamidreza Taghvaee, Sergi Abadal, Julius Georgiou, Albert Cabellos-Aparicio, Eduard Alarcón
Fault Tolerance in Programmable Metasurfaces: The Beam Steering Case. ISCAS (2019)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Feature Engineering for Deep Reinforcement Learning Based Routing. ICC (2019)
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. SOSR (2019)
Sergi Abadal, Adrián Marruedo, Antonio Franques, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Jin Zhou, Josep Torrellas, Eduard Alarcón
Opportunistic Beamforming in Wireless Network-on-Chip. CoRR (2019)
Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. CoRR (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Routing Based on Deep Reinforcement Learning in Optical Transport Networks. OFC (2019)
Taqwa Saeed, Sergi Abadal, Christos Liaskos, Andreas Pitsillides, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Marios Lestas, Eduard Alarcón
Workload Characterization of Programmable Metasurfaces. NANOCOM (2019)
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. CoRR (2019)
Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
Towards more realistic network models based on Graph Neural Networks. CoNEXT Companion (2019)
José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio
Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos (2019)
Xavier Timoneda, Sergi Abadal, Antonio Franques, Dionysios Manessis, Jin Zhou, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio
Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication. CoRR (2019)
Sergi Abadal, Adrián Marruedo, Antonio Franques, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Jin Zhou, Josep Torrellas, Eduard Alarcón
Opportunistic Beamforming in Wireless Network-on-Chip. ISCAS (2019)
Anna C. Tasolamprou, Alexandros Pitilakis, Sergi Abadal, Odysseas Tsilipakos, Xavier Timoneda, Hamidreza Taghvaee, Mohammad Sajjad Mirmoosa, Fu Liu, Christos Liaskos, Ageliki Tsioliaridou, Sotiris Ioannidis, Nikolaos V. Kantartzis, Dionysios Manessis, Julius Georgiou, Albert Cabellos-Aparicio, Eduard Alarcón, Andreas Pitsillides, Ian F. Akyildiz, Sergei A. Tretyakov, Eleftherios N. Economou, Maria Kafesaki, Costas M. Soukoulis
Exploration of Intercell Wireless Millimeter-Wave Communication in the Landscape of Intelligent Metasurfaces. IEEE Access 7 (2019)
José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Albert Cabellos-Aparicio, Pere Barlet-Ros
Routing in optical transport networks with deep reinforcement learning. JOCN 11 (11) (2019)
Sergi Abadal, Christos Liaskos, Ageliki Tsioliaridou, Sotiris Ioannidis, Andreas Pitsillides, Josep Solé-Pareta, Eduard Alarcón, Albert Cabellos-Aparicio
Computing and Communications for the Software-Defined Metamaterial Paradigm: A Context Analysis. CoRR (2018)
Sergi Abadal, Albert Mestres, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio
Medium Access Control in Wireless Network-on-Chip: A Context Analysis. CoRR (2018)
Xavier Timoneda, Sergi Abadal, Albert Cabellos-Aparicio, Dionysios Manessis, Jin Zhou, Antonio Franques, Josep Torrellas, Eduard Alarcón
Millimeter-Wave Propagation within a Computer Chip Package. CoRR (2018)
Seyed Ehsan Hosseininejad, Mohammad Neshat, Reza Faraji-Dana, Sergi Abadal, Max C. Lemme, Peter Haring Bolívar, Eduard Alarcón, Albert Cabellos-Aparicio
Terahertz Dielectric Resonator Antenna Coupled to Graphene Plasmonic Dipole. CoRR (2018)
Xavier Timoneda, Albert Cabellos-Aparicio, Dionysios Manessis, Eduard Alarcón, Sergi Abadal
Channel Characterization for Chip-scale Wireless Communications within Computing Packages. CoRR (2018)
Seyed Ehsan Hosseininejad, Sergi Abadal, Mohammad Neshat, Reza Faraji-Dana, Max C. Lemme, Christoph Suessmeier, Peter Haring Bolívar, Eduard Alarcón, Albert Cabellos-Aparicio
MAC-oriented programmable terahertz PHY via graphene-based Yagi-Uda antennas. WCNC (2018)
Sergi Abadal, Seyed Ehsan Hosseininejad, Albert Cabellos-Aparicio, Eduard Alarcón
Graphene-Based terahertz antennas for area-constrained applications. CoRR (2018)
Sergi Abadal, Albert Mestres, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio
Medium Access Control in Wireless Network-on-Chip: A Context Analysis. IEEE Commun. Mag. 56 (6) (2018)
Anna C. Tasolamprou, Mohammad Sajjad Mirmoosa, Odysseas Tsilipakos, Alexandros Pitilakis, Fu Liu, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Christos Liaskos, Nikolaos V. Kantartzis, Sergei A. Tretyakov, Maria Kafesaki, Eleftherios N. Economou, Costas M. Soukoulis
Intercell Wireless Communication in Software-defined Metasurfaces. ISCAS (2018)
Xavier Timoneda, Sergi Abadal, Albert Cabellos-Aparicio, Dionysios Manessis, Jin Zhou, Antonio Franques, Josep Torrellas, Eduard Alarcón
Millimeter-Wave Propagation within a Computer Chip Package. ISCAS (2018)
Alberto Rodríguez-Natal, Vina Ermagan, Kien Nguyen, Sharon Barkai, Yusheng Ji, Fabio Maino, Albert Cabellos-Aparicio
SDN for End-Nodes: Scenario Analysis and Architectural Guidelines. CoRR (2018)
Sergi Abadal, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio
OrthoNoC: A Broadcast-Oriented Dual-Plane Wireless Network-on-Chip Architecture. IEEE Trans. Parallel Distributed Syst. 29 (3) (2018)
Xavier Timoneda, Albert Cabellos-Aparicio, Dionysios Manessis, Eduard Alarcón, Sergi Abadal
Channel Characterization for Chip-scale Wireless Communications within Computing Packages. NOCS (2018)
Paul Almasan, Jordi Paillisse, Alberto Rodríguez-Natal, Pere Barlet-Ros, Florin Coras, Vina Ermagan, Fabio Maino, Albert Cabellos-Aparicio
Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols. CoRR (2018)
Seyed Ehsan Hosseininejad, Sergi Abadal, Mohammad Neshat, Reza Faraji-Dana, Max C. Lemme, Christoph Suessmeier, Peter Haring Bolívar, Eduard Alarcón, Albert Cabellos-Aparicio
MAC-Oriented Programmable Terahertz PHY via Graphene-based Yagi-Uda Antennas. CoRR (2018)
Xavier Timoneda, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón
Modeling the EM Field Distribution within a Computer Chip Package. CoRR (2018)
Fu Liu, Alexandros Pitilakis, Mohammad Sajjad Mirmoosa, Odysseas Tsilipakos, Xuchen Wang, Anna C. Tasolamprou, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Christos Liaskos, Nikolaos V. Kantartzis, Maria Kafesaki, Eleftherios N. Economou, Costas M. Soukoulis, Sergei A. Tretyakov
Programmable Metasurfaces: State of the Art and Prospects. ISCAS (2018)
Albert Mestres, Eduard Alarcón, Yusheng Ji, Albert Cabellos-Aparicio
Understanding the Modeling of Computer Network Delays using Neural Networks. CoRR (2018)
Albert Mestres, Eduard Alarcón, Yusheng Ji, Albert Cabellos-Aparicio
Understanding the Modeling of Computer Network Delays using Neural Networks. Big-DAMA@SIGCOMM (2018)
Seyed Ehsan Hosseininejad, Eduard Alarcón, Nader Komjani, Sergi Abadal, Max C. Lemme, Peter Haring Bolívar, Albert Cabellos-Aparicio
Study of hybrid and pure plasmonic terahertz antennas based on graphene guided-wave structures. Nano Commun. Networks 12 (2017)

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Publication Activity (10 Years)

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Albert Cabellos-Aparicio