Irene Vilà Muñoz

Orcid: 0000-0002-7086-9591

According to our database1, Irene Vilà Muñoz authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RAN.
CoRR, 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

Expanding Edge Computing deeper into Beyond 5G Radio Access Networks.
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

Deep Learning-based Multi-Connectivity Optimization in Cellular Networks.
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
Characterization of Radio Access Network Slicing Scenarios With 5G QoS Provisioning.
IEEE Access, 2020

A Novel Approach for Dynamic Capacity Sharing in Multi-tenant Scenarios.
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

Supporting Mission Critical Services through Radio Access Network Slicing.
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2019

2018
5G Framework for automated network adaptation in Mission Critical Services.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2018

A new RAN slicing strategy for multi-tenancy support in a WLAN scenario.
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


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