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ORCIDAlbert Cabellos-Aparicio
Albert Cabellos
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- affiliation: Polytechnic University of Catalonia
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2020 – today
- 2024
[c81]Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling. GNNet@CoNEXT 2024: 14-19- [c80]Berta Serracanta, Alberto Rodríguez-Natal, Fabio Maino, Albert Cabellos-Aparicio:
Flow Optimization at Inter-Datacenter Networks for Application Run-time Acceleration. ICC 2024: 2670-2675 - [e5]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, GNNet 2024, Los Angeles, CA, USA, December 9-12, 2024. ACM 2024, ISBN 979-8-4007-1254-8 [contents] - [i68]Berta Serracanta, Kai Gao, Jordi Ros-Giralt, Alberto Rodríguez-Natal, Luis M. Contreras, Y. Richard Yang, Albert Cabellos:
Towards Deep Application-Network Integration: Architectures, Progress and Opportunities. CoRR abs/2406.12556 (2024) - [i67]Berta Serracanta, Alberto Rodríguez-Natal, Fabio Maino, Albert Cabellos:
Flow Optimization at Inter-Datacenter Networks for Application Run-time Acceleration. CoRR abs/2406.12567 (2024) - 2023
- [j64]Krzysztof Rusek
, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda:
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. J. Netw. Syst. Manag. 31(3): 64 (2023) - [j63]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): 146-153 (2023) - [j62]Krzysztof Rusek, Agnieszka Kleszcz, Albert Cabellos-Aparicio:
Bayesian inference of spatial and temporal relations in AI patents for EU countries. Scientometrics 128(6): 3313-3335 (2023) - [j61]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): 494-506 (2023) - [j60]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): 3079-3094 (2023) - [j59]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): 3080-3095 (2023) - [c79]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: 14-20 - [c78]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: 1-6 - [c77]Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Network Traffic Compression. GNNet@CoNEXT 2023: 7-12 - [c76]Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT 2023: 25-30 - [c75]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: 1-5 - [e4]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023. ACM 2023 [contents] - [i66]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 abs/2301.08962 (2023) - [i65]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 abs/2301.11471 (2023) - [i64]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 abs/2303.18157 (2023) - [i63]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 abs/2308.04905 (2023) - [i62]Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Graph Signal Compression. CoRR abs/2308.11068 (2023) - [i61]Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Enhancing 5G Radio Planning with Graph Representations and Deep Learning. CoRR abs/2309.03603 (2023) - [i60]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 abs/2310.11889 (2023) - [i59]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 abs/2311.05337 (2023) - [i58]Hamid Latif-Martínez, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Detecting Contextual Network Anomalies with Graph Neural Networks. CoRR abs/2312.06342 (2023) - [i57]Alberto Rodríguez-Natal, Vina Ermagan, Albert Cabellos, Sharon Barkai, Mohamed Boucadair:
Publish/Subscribe Functionality for the Locator/ID Separation Protocol (LISP). RFC 9437: 1-18 (2023) - 2022
- [j58]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): 22-27 (2022) - [j57]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: 109166 (2022) - [j56]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: 109329 (2022) - [j55]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: 184-194 (2022) - [j54]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): 111-117 (2022) - [j53]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): 16-25 (2022) - [c74]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: 170-173 - [c73]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: 359-363 - [c72]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: 7-12 - [c71]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: 8907-8911 - [c70]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: 2018-2027 - [c69]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: 1-5 - [e3]Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos:
Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022. ACM 2022, ISBN 978-1-4503-9933-3 [contents] - [i56]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 abs/2201.01144 (2022) - [i55]Krzysztof Rusek, Piotr Borylo, Piotr Jaglarz, Fabien Geyer, Albert Cabellos, Piotr Cholda:
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources. CoRR abs/2201.12263 (2022) - [i54]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 abs/2202.00360 (2022) - [i53]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 abs/2202.13956 (2022) - [i52]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 abs/2205.14206 (2022) - [i51]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 abs/2206.04796 (2022) - [i50]Jordi Paillisse, Alberto Rodríguez-Natal, Fabio Maino, Albert Cabellos:
A Reflection on the Organic Growth of the Internet Protocol Stack. CoRR abs/2208.05420 (2022) - [i49]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 abs/2209.10380 (2022) - [i48]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 abs/2212.12070 (2022) - [i47]Ángela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. CoRR abs/2212.12470 (2022) - [i46]Albert Cabellos, Damien Saucez:
An Architectural Introduction to the Locator/ID Separation Protocol (LISP). RFC 9299: 1-24 (2022) - [i45]Dino Farinacci, Vince Fuller, Dave Meyer, Darrel Lewis, Albert Cabellos:
The Locator/ID Separation Protocol (LISP). RFC 9300: 1-33 (2022) - [i44]Dino Farinacci, Fabio Maino, Vince Fuller, Albert Cabellos:
Locator/ID Separation Protocol (LISP) Control Plane. RFC 9301: 1-42 (2022) - [i43]Fabio Maino, Vina Ermagan, Albert Cabellos, Damien Saucez:
Locator/ID Separation Protocol Security (LISP-SEC). RFC 9303: 1-23 (2022) - 2021
- [j52]José Suárez-Varela, Miquel Ferriol Galmés, Albert López, 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): 9-16 (2021) - [j51]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): 171-177 (2021) - [j50]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): 2765 (2021) - [c68]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: 1-6 - [c67]Jordi Paillisse, Alejandro Barcia, Albert López, Alberto Rodríguez-Natal, Fabio Maino, Albert Cabellos:
A Control Plane for WireGuard. ICCCN 2021: 1-8 - [c66]Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? ICNP 2021: 1-11 - [c65]Miquel Ferriol Galmés, Albert Cabellos-Aparicio:
Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO). INFOCOM Workshops 2021: 1-2 - [c64]Berta Serracanta, Jordi Paillisse, Albert Cabellos, Anna Claiborne, Alberto Rodríguez-Natal, Dave Ward, Fabio Maino:
Wide Area Network Autoscaling for Cloud Applications. NAI@SIGCOMM 2021: 1-6 - [c63]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: 71-73 - [i42]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 abs/2106.09754 (2021) - [i41]José Suárez-Varela, Miquel Ferriol Galmés, Albert López, 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 abs/2107.12433 (2021) - [i40]David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. CoRR abs/2107.14756 (2021) - [i39]Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? CoRR abs/2109.01445 (2021) - [i38]Berta Serracanta, Jordi Paillisse, Albert Cabellos, Anna Claiborne, Alberto Rodríguez-Natal, Dave Ward, Fabio Maino:
Wide Area Network Autoscaling for Cloud Applications. CoRR abs/2109.02967 (2021) - [i37]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 abs/2109.06715 (2021) - [i36]Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
ENERO: Efficient Real-Time Routing Optimization. CoRR abs/2109.10883 (2021) - [i35]Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Scaling Graph-based Deep Learning models to larger networks. CoRR abs/2110.01261 (2021) - [i34]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 abs/2112.14792 (2021) - 2020
- [j49]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: 105320-105334 (2020) - [j48]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): 62-74 (2020) - [j47]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): 796-826 (2020) - [j46]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): 2260-2270 (2020) - [j45]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): 3247-3258 (2020) - [c62]Jordi Paillisse, Marc Portoles, Albert López, Alberto Rodríguez-Natal, David Iacobacci, Johnson Leong, Victor Moreno, Albert Cabellos, Fabio Maino, Sanjay Hooda:
SD-access: practical experiences in designing and deploying software defined enterprise networks. CoNEXT 2020: 496-508 - [c61]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: 1-6 - [c60]Miquel Ferriol Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu:
Preventing Route Leaks using a Decentralized Approach. Networking 2020: 509-513 - [i33]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 abs/2007.08035 (2020) - [i32]Miquel Ferriol Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR abs/2010.06686 (2020) - [i31]Jordi Paillisse, Marc Portoles, Albert Lopez-Bresco, Alberto Rodríguez-Natal, David Iacobacci, Johnson Leong, Victor Moreno, Albert Cabellos, Fabio Maino, Sanjay Hooda:
SD-Access: Practical Experiences in Designing and Deploying Software Defined Enterprise Networks. CoRR abs/2010.15236 (2020) - [i30]Taqwa Saeed, Sergi Abadal, Christos Liaskos, Andreas Pitsillides, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Marios Lestas, Eduard Alarcón:
Workload Characterization of Programmable Metasurfaces. CoRR abs/2011.14838 (2020) - [i29]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 abs/2012.15748 (2020)
2010 – 2019
- 2019
- [j44]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: 122931-122948 (2019) - [j43]Jordi Paillisse, Jan Manrique, Guillem Bonet, Alberto Rodríguez-Natal, Fabio Maino, Albert Cabellos:
Decentralized Trust in the Inter-Domain Routing Infrastructure. IEEE Access 7: 166896-166905 (2019) - [j42]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): 547-558 (2019) - [c59]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: 14-16 - [c58]Jordi Paillisse, Jordi Subira, Albert Lopez-Bresco, Alberto Rodríguez-Natal, Vina Ermagan, Fabio Maino, Albert Cabellos:
Distributed Access Control with Blockchain. ICC 2019: 1-6 - [c57]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: 1-6 - [c56]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: 1-5 - [c55]Hamidreza Taghvaee, Sergi Abadal, Julius Georgiou, Albert Cabellos-Aparicio, Eduard Alarcón:
Fault Tolerance in Programmable Metasurfaces: The Beam Steering Case. ISCAS 2019: 1-5 - [c54]Christos Liaskos, Georgios G. Pyrialakos, Alexandros Pitilakis, Sergi Abadal, Ageliki Tsioliaridou, Anna C. Tasolamprou, Odysseas Tsilipakos, Nikolaos V. Kantartzis, Sotiris Ioannidis, Eduard Alarcón, Albert Cabellos, Maria Kafesaki, Andreas Pitsillides, Kypros M. Kossifos, Julius Georgiou, Ian F. Akyildiz:
ABSense: Sensing Electromagnetic Waves on Metasurfaces via Ambient Compilation of Full Absorption. NANOCOM 2019: 14:1-14:6 - [c53]Taqwa Saeed, Sergi Abadal, Christos Liaskos, Andreas Pitsillides, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Marios Lestas, Eduard Alarcón:
Workload Characterization of Programmable Metasurfaces. NANOCOM 2019: 15:1-15:6 - [c52]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: 1-3 - [c51]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: 114-115 - [c50]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: 140-151 - [i28]Jordi Paillisse, Jordi Subira, Albert Lopez-Bresco, Alberto Rodríguez-Natal, Vina Ermagan, Fabio Maino, Albert Cabellos:
Distributed Access Control with Blockchain. CoRR abs/1901.03568 (2019) - [i27]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 abs/1901.04291 (2019) - [i26]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 abs/1901.08113 (2019) - [i25]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 abs/1906.05361 (2019) - [i24]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 abs/1910.01508 (2019) - [i23]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 abs/1910.07421 (2019) - 2018
- [j41]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): 172-178 (2018) - [j40]