Paul Almasan

33 papers B 2C 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-Driven Deployment of Reconfigurable Intelligent Surfaces in Cellular Networks.
IEEE J. Sel. Areas Commun.
Sina Beyraghi, Javad Shabanpour, Giovanni Geraci, Paul Almasan, Angel Lozano
2026 J jnl
Direct-to-Device Connectivity for Integrated Communication, Navigation and Surveillance.
CoRR
Muhammad Asad Ullah, Davi Brilhante, Luís Eduardo Partichelli Potrich, José Suárez-Varela, Paul Almasan, Charles Cleary, Vadim Kramar
2025 J jnl
Data-Driven Deployment of Reconfigurable Intelligent Surfaces in Cellular Networks.
CoRR
Sina Beyraghi, Javad Shabanpour, Giovanni Geraci, Paul Almasan, Angel Lozano
2025 J jnl
Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question.
CoRR
Stefanos Bakirtzis, Paul Almasan, José Suárez-Varela, Gabriel O. Ferreira, Michail Kalntis, André Felipe Zanella, Ian J. Wassell, Andra Lutu
2025 J jnl
Site-Specific RIS Deployment in Cellular Networks via Calibrated Ray Tracing.
CoRR
Sina Beyraghi, Javad Shabanpour, Giovanni Geraci, Paul Almasan, Angel Lozano
2024 — —
Leveraging graph neural networks for optimization and traffic compression in network digital twins
Paul Almasan
2023 — conf
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
GNNet@CoNEXT
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks.
CoRR
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 — conf
Enhancing 5G Radio Planning with Graph Representations and Deep Learning.
5G-MeMZ@SIGCOMM
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Enhancing 5G Radio Planning with Graph Representations and Deep Learning.
CoRR
Paul Almasan, José Suárez-Varela, Andra Lutu, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw.
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
2023 J jnl
Leveraging Spatial and Temporal Correlations for Network Traffic Compression.
CoRR
Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2022 B conf
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
NOMS
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.
CoRR
Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case.
Comput. Commun.
Paul Almasan, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Digital Twin Network: Opportunities and Challenges.
CoRR
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
2022 J jnl
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.
Comput. Networks
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 B conf
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing.
CNSM
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing.
CoRR
Krzysztof Rusek, Paul Almasan, José Suárez-Varela, Piotr Cholda, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Network Digital Twin: Context, Enabling Technologies and Opportunities.
CoRR
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
2022 J jnl
Network Digital Twin: Context, Enabling Technologies, and Opportunities.
IEEE Commun. Mag.
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
2021 J jnl
ENERO: Efficient Real-Time Routing Optimization.
CoRR
Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
CoRR
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
2021 J jnl
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks.
CoRR
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
2021 J jnl
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
Comput. Commun. Rev.
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
2021 C conf
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
HPSR
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
CoRR
Paul Almasan, José Suárez-Varela, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2020 J jnl
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN.
IEEE J. Sel. Areas Commun.
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 — conf
Challenging the generalization capabilities of Graph Neural Networks for network modeling.
SIGCOMM Posters and Demos
José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 J jnl
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case.
CoRR
Paul Almasan, José Suárez-Varela, Arnau Badia-Sampera, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 J jnl
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN.
CoRR
Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio
2019 — conf
Towards more realistic network models based on Graph Neural Networks.
CoNEXT Companion
Arnau Badia-Sampera, José Suárez-Varela, Paul Almasan, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2018 J jnl
Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols.
CoRR
Paul Almasan, Jordi Paillisse, Alberto Rodríguez-Natal, Pere Barlet-Ros, Florin Coras, Vina Ermagan, Fabio Maino, Albert Cabellos-Aparicio