Irene Vilà Muñoz
Orcid: 0000-0002-7086-9591
According to our database1,
Irene Vilà Muñoz
authored at least 26 papers
between 2018 and 2024.
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Bibliography
2024
Deep Learning-Based Algorithm for Optimizing Relay User Equipment Activation in 5G Cellular Networks.
IEEE Trans. Veh. Technol., March, 2024
Comput. Networks, 2024
Comput. Networks, 2024
Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RAN.
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024
2023
On the Design of a Network Digital Twin for the Radio Access Network in 5G and Beyond.
Sensors, February, 2023
On the Detection and Solution of Coverage Holes in 5G Networks through Relay User Equipment: a combined DBSCAN and Deep-Q Network Approach.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023
2022
Contribution to the modelling and evaluation of radio network slicing solutions in 5G.
PhD thesis, 2022
A Deep Q-Network-Based Algorithm for Multi-Connectivity Optimization in Heterogeneous Cellular-Networks.
Sensors, 2022
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
On the Training of Reinforcement Learning-based Algorithms in 5G and Beyond Radio Access Networks.
Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
A Deep Q Network-Based Multi-connectivity Algorithm for Heterogeneous 4G/5G Cellular Systems.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022
On the Implementation of a Reinforcement Learning-based Capacity Sharing Algorithm in O-RAN.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
Impact Analysis of Training in Deep Reinforcement Learning-based Radio Access Network Slicing.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
2021
A Multi-Agent Reinforcement Learning Approach for Capacity Sharing in Multi-Tenant Scenarios.
IEEE Trans. Veh. Technol., 2021
Evaluation of a Multi-cell and Multi-tenant Capacity Sharing Solution under Heterogeneous Traffic Distributions.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021
2020
IEEE Access, 2020
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020
2019
An Analytical Model for Multi-Tenant Radio Access Networks Supporting Guaranteed Bit Rate Services.
IEEE Access, 2019
Performance Measurements-Based Estimation of Radio Resource Requirements for Slice Admission Control.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2019
2018
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2018
Proceedings of the 4th IEEE Conference on Network Softwarization and Workshops, 2018
Guaranteed Bit Rate Traffic Prioritisation and Isolation in Multi-tenant Radio Access Networks.
Proceedings of the 23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2018