Publications

Jose A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez (2024). Risk-Aware Continuous Control with Neural Contextual Bandits. AAAI’24.

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Fatih Aslan, George Iosifidis, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez (2024). Fair Resource Allocation in Virtualized O-RAN Platforms. ACM SIGMETRICS 2024.

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Jose A. Ayala-Romero, Leonardo Lo Schiavo, Andres Garcia-Saavedra, Xavier Costa-Perez (2024). Mean-Field Multi-Agent Contextual Bandit for Energy-Efficient Resource Allocation in vRANs. IEEE INFOCOM 2024.

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Leonardo Lo Schiavo, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Fiore, Xavier Costa-Perez (2024). YinYangRAN: Resource Multiplexing in GPU-Accelerated Virtualized RANs. IEEE INFOCOM 2024.

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Ethan Sanchez Hidalgo, J. Xavier Salvat Lozano, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xi Li, Xavier Costa-Perez (2024). MemorAI: Energy-Efficient Last-Level Cache Memory Optimization for Virtualized RANs. IEEE ICMLCN 2024.

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J. Xavier Salvat, Jose A. Ayala-Romero, L. Zanzi, A. Garcia-Saavedra, X. Costa-Perez (2023). Open Radio Access Networks (O-RAN) Experimentation Platform: Design and Datasets. IEEE Communications Magazine.

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Jose A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez, G. Iosifidis (2023). EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI. IEEE/ACM Transactions on Networking.

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Jose A. Ayala-Romero, Péter Mernyei, Bichen Shi, Diego Mazón (2022). KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning. CIKM’22.

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Jose A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez, G. Iosifidis (2021). EdgeBOL: Automating Energy-savings for Mobile Edge AI. ACM CoNEXT 2021.

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Jose A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez, G. Iosifidis (2021). Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results. IEEE Transactions on Mobile Computing.

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Jose A. Ayala-Romero, Ihtisham Khalid, Andres Garcia-Saavedra, Xavier Costa-Perez, George Iosifidis (2021). Experimental Evaluation of Power Consumption in Virtualized Base Stations. IEEE International Conference on Communications (ICC) 2021.

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Jose A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez, G. Iosifidis (2021). Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs. IEEE Conference on Computer Communications (INFOCOM) 2021.

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Apostolos Galanopoulos, Jose A. Ayala-Romero, George Iosifidis, Douglas J Leith (2021). AutoML for Video Analytics with Edge Computing. IEEE Conference on Computer Communications (INFOCOM) 2021.

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Jose A. Ayala-Romero, A. Garcia-Saavedra, M. Gramaglia, X. Costa-Perez, A. Banchs, J. J. Alcaraz (2020). vrAIn: Deep Learning based Orchestration for Computing and Radio Resources in vRANs. IEEE Transactions on Mobile Computing.

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F. Wisnu Murti, Jose A. Ayala-Romero, A. Garcia-Saavedra, X. Costa-Perez, G. Iosifidis (2020). Optimal Deployment Framework for Multi-Cloud Virtualized Radio Access Networks. IEEE Transactions on Wireless Communications (Volume: -, Issue: -, Dec. 2020).

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Juan J. Alcaraz, Jose A. Ayala-Romero, Javier Vales-Alonso, Fernando Losilla-Lopez (2020). Online Reinforcement Learning for Adaptive Interference Coordination. Transactions on Emerging Telecommunications Technologies (Volume: 31, Number: 10, August 2020).

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Apostolos Galanopoulos, Jose A. Ayala-Romero, George Iosifidis, Douglas J Leith (2020). Bayesian Online Learning for MEC Object Recognition Systems. 2020 IEEE Global Communications Conference (Globecom).

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Jose A. Ayala-Romero, A. Garcia-Saavedra, M. Gramaglia, X. Costa-Perez, A. Banchs, J. J. Alcaraz (2019). vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs. In Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, ACM.

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Jose A. Ayala-Romero, A. Garcia-Saavedra, M. Gramaglia, X. Costa-Perez, A. Banchs, J. J. Alcaraz (2019). Demo: vrAIn Proof-of-Concept - A Deep Learning Approach for Virtualized RAN Resource Control. In Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, ACM.

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Jose A. Ayala-Romero, Juan J. Alcaraz, Andrea Zanella, Michele Zorzi (2019). Online Learning for Energy Saving and Interference Coordination in HetNets. IEEE Journal on Selected Areas in Communications (Volume: 37, Issue: 6, June 2019).

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Jose A. Ayala-Romero, Juan J. Alcaraz, Javier Vales-Alonso (2018). Energy Saving and Interference Coordination in HetNets Using Dynamic Programming and CEC. IEEE Access (Volume: 6).

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Jose A. Ayala-Romero, Juan J. Alcaraz, Andrea Zanella, Michele Zorzi (2018). Contextual Bandit Approach for Energy Saving and Interference Coordination in HetNets. 2018 IEEE International Conference on Communications (ICC) (Volume: 6).

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Jose A. Ayala-Romero, Juan J. Alcaraz, Javier Vales-Alonso (2018). Data-Driven Configuration of Interference Coordination Parameters in HetNets. IEEE Transactions on Vehicular Technology (Volume: 67, Issue: 6, June 2018).

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Jose A. Ayala-Romero, Juan J. Alcaraz, Javier Vales-Alonso, Esteban Egea-Lopez (2017). Online Optimization of Interference Coordination Parameters in Small Cell Networks. IEEE Transactions on Wireless Communications (Volume: 16, Issue: 10, Oct. 2017).

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Jose A. Ayala-Romero, Juan J. Alcaraz, Javier Vales-Alonso, Esteban Egea-Lopez (2017). Online Learning for Interference Coordination in Heterogeneous Networks. 2017 IEEE International Conference on Communications (ICC).

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Juan J. Alcaraz, Jose A. Ayala-Romero, Mario Lopez-Martinez, Javier Vales-Alonso (2015). Response surface methodology for efficient spectrum reuse in cellular networks. 2015 IEEE International Conference on Communications (ICC).

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Juan J. Alcaraz, Jose A. Ayala-Romero, Mario Lopez-Martinez, Javier Vales-Alonso (2014). Combining dual tessellation and temporal opportunities for spectrum reuse in cellular systems. 2014 11th International Symposium on Wireless Communications Systems (ISWCS).

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