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NEC Laboratories Europe

People
Dr. Jose A. Ayala Romero

Senior Researcher

Group Involvement, NEC Laboratories Europe

6G Networks Group

Research Interests

Mobile and Wireless Systems

Machine Learning and Reinforcement Learning

Conferences

  • Jose A. Ayala-Romero, PĂ©ter Mernyei, Bichen Shi, and Diego MazĂłn. "KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning." ACM CIKM 2022 - Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022
  • Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-PĂ©rez, and George Iosifidis. "EdgeBOL: Automating energy-savings for mobile edge AI." ACM CoNEXT 2021 - Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies. 2021.
  • Jose A. Ayala-Romero, Ihtisham Khalid, Andres Garcia-Saavedra, Xavier Costa-PĂ©rez, and George Iosifidis. "Experimental evaluation of power consumption in virtualized base stations." ICC 2021-IEEE International Conference on Communications. IEEE, 2021.
  • Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-PĂ©rez, and George Iosifidis. "Bayesian online learning for energy-aware resource orchestration in virtualized rans." IEEE INFOCOM 2021-IEEE Conference on Computer Communications. IEEE, 2021.
  • Apostolos Galanopoulos, Jose A. Ayala-Romero, Douglas J. Leith, and George Iosifidis. "AutoML for video analytics with edge computing." IEEE INFOCOM 2021-IEEE Conference on Computer Communications. IEEE, 2021.
  • Apostolos Galanopoulos, Jose A. Ayala-Romero, Douglas J. Leith, and George Iosifidis. "Bayesian online learning for mec object recognition systems." GLOBECOM 2020-2020 IEEE Global Communications Conference. IEEE, 2020.
  • Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, and Juan J. Alcaraz. "vrAIn: A deep learning approach tailoring computing and radio resources in virtualized RANs." ACM MOBICOM 2019 - The 25th Annual International Conference on Mobile Computing and Networking. 2019.
  • Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, and Juan J. Alcaraz. "vrAIn Proof-of-Concept--A Deep Learning Approach for Virtualized RAN Resource Control." ACM MOBICOM 2019 - The 25th Annual International Conference on Mobile Computing and Networking. 2019.

Journals

  • Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-PĂ©rez, and George Iosifidis. "Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results." IEEE Transactions on Mobile Computing (2021).
  • Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, and Juan J. Alcaraz. " vrAIn: Deep Learning based Orchestration for Computing and Radio Resources in vRANs." IEEE Transactions on Mobile Computing 21.7 (2020): 2652-2670.
  • Fahri Wisnu Murti, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-PĂ©rez, and George Iosifidis. "An optimal deployment framework for multi-cloud virtualized radio access networks." IEEE Transactions on Wireless Communications 20.4 (2020): 2251-2265.
  • Jose A. Ayala-Romero, Juan J. Alcaraz, Andrea Zanella, and Michele Zorzi. "Online learning for energy saving and interference coordination in hetnets." IEEE Journal on Selected Areas in Communications 37.6 (2019): 1374-1388.
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