Jose A. Ayala-Romero

Orcid: 0000-0001-7402-3174

According to our database1, Jose A. Ayala-Romero authored at least 27 papers between 2014 and 2024.

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Bibliography

2024
Fair Resource Allocation in Virtualized O-RAN Platforms.
Proc. ACM Meas. Anal. Comput. Syst., 2024

Risk-Aware Continuous Control with Neural Contextual Bandits.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI.
IEEE/ACM Trans. Netw., December, 2023

Open Radio Access Networks (O-RAN) Experimentation Platform: Design and Datasets.
IEEE Commun. Mag., September, 2023

Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results.
IEEE Trans. Mob. Comput., May, 2023

2022
O-RAN experimental evaluation datasets.
Dataset, October, 2022

vrAIn: Deep Learning Based Orchestration for Computing and Radio Resources in vRANs.
IEEE Trans. Mob. Comput., 2022

ML Approach for Power Consumption Prediction in Virtualized Base Stations.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
An Optimal Deployment Framework for Multi-Cloud Virtualized Radio Access Networks.
IEEE Trans. Wirel. Commun., 2021

AutoML for Video Analytics with Edge Computing.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Demonstrating a Bayesian Online Learning for Energy-Aware Resource Orchestration in vRANs.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

Experimental Evaluation of Power Consumption in Virtualized Base Stations.
Proceedings of the ICC 2021, 2021

EdgeBOL: automating energy-savings for mobile edge AI.
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

2020
Online reinforcement learning for adaptive interference coordination.
Trans. Emerg. Telecommun. Technol., 2020

Bayesian Online Learning for MEC Object Recognition Systems.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Online Learning for Energy Saving and Interference Coordination in HetNets.
IEEE J. Sel. Areas Commun., 2019

Demo: vrAIn Proof-of-Concept - A Deep Learning Approach for Virtualized RAN Resource Control.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

2018
Data-Driven Configuration of Interference Coordination Parameters in HetNets.
IEEE Trans. Veh. Technol., 2018

Energy Saving and Interference Coordination in HetNets Using Dynamic Programming and CEC.
IEEE Access, 2018

Contextual Bandit Approach for Energy Saving and Interference Coordination in HetNets.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Online Optimization of Interference Coordination Parameters in Small Cell Networks.
IEEE Trans. Wirel. Commun., 2017

Online learning for interference coordination in heterogeneous networks.
Proceedings of the IEEE International Conference on Communications, 2017

2015
Response surface methodology for efficient spectrum reuse in cellular networks.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014
Combining dual tessellation and temporal opportunities for spectrum reuse in cellular systems.
Proceedings of the 11th International Symposium on Wireless Communications Systems, 2014


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