Sergio Barrachina-Muñoz

Orcid: 0000-0002-7941-1018

Affiliations:
  • Centre Tecnològic de Telecomunicacions de Catalunya, Barcelona, Spain
  • Universitat Pompeu Fabra, Spain (PhD 2021)


According to our database1, Sergio Barrachina-Muñoz authored at least 38 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Performance Optimization Across the Edge-Cloud Continuum: A Multi-agent Rollout Approach for Cloud-Native Application Workload Placement.
SN Comput. Sci., March, 2024

A Novel Approach for Scalable and Sustainable 6G Networks.
IEEE Open J. Commun. Soc., 2024

2023
Deploying cloud-native experimental platforms for zero-touch management 5G and beyond networks.
IET Networks, November, 2023

AI-Driven Framework for Scalable Management of Network Slices.
IEEE Commun. Mag., November, 2023

X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN.
Proceedings of the IEEE INFOCOM 2023, 2023

Cloud Native Federated Learning for Streaming: An Experimental Demonstrator.
Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

A Marketplace Solution for Distributed Network Management and Orchestration of Slices.
Proceedings of the 19th International Conference on Network and Service Management, 2023

Disaggregating a 5G Non-Public Network via On-Demand Cloud-Native UPF Deployments.
Proceedings of the 19th International Conference on Network and Service Management, 2023

2022
End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications.
IEEE Commun. Lett., 2022

Intent-Based Orchestration for Application Relocation in a 5G Cloud-native Platform.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2022

Experimentation Scenarios for Machine Learning-Based Resource Management.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022

Cloud-native 5G experimental platform with over-the-air transmissions and end-to-end monitoring.
Proceedings of the 13th International Symposium on Communication Systems, 2022

Mobile Edge Vertical Applications Using ETSI MEC APIs and Sandbox.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2022

2021
Responsive spectrum management for wireless local area networks: from heuristic-based policies to model-free reinforcement learning.
PhD thesis, 2021

Wi-Fi Channel Bonding: An All-Channel System and Experimental Study From Urban Hotspots to a Sold-Out Stadium.
IEEE/ACM Trans. Netw., 2021

Spatial Reuse in IEEE 802.11ax WLANs.
Comput. Commun., 2021

Multi-Armed Bandits for Spectrum Allocation in Multi-Agent Channel Bonding WLANs.
IEEE Access, 2021

Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs.
Proceedings of the 2021 Wireless Days, 2021

2020
Online Primary Channel Selection for Dynamic Channel Bonding in High-Density WLANs.
IEEE Wirel. Commun. Lett., 2020

Dynamic Channel Bonding in Spatially Distributed High-Density WLANs.
IEEE Trans. Mob. Comput., 2020

A Flexible Machine-Learning-Aware Architecture for Future WLANs.
IEEE Commun. Mag., 2020

Wi-Fi All-Channel Analyzer.
Proceedings of the WiNTECH@MobiCom 2020: Proceedings of the 14th International Workshop on Wireless Network Testbeds, 2020

2019
Potential and pitfalls of Multi-Armed Bandits for decentralized Spatial Reuse in WLANs.
J. Netw. Comput. Appl., 2019

To overlap or not to overlap: Enabling channel bonding in high-density WLANs.
Comput. Networks, 2019

Collaborative Spatial Reuse in wireless networks via selfish Multi-Armed Bandits.
Ad Hoc Networks, 2019

Combining Software Defined Networks and Machine Learning to enable Self Organizing WLANs.
Proceedings of the 2019 International Conference on Wireless and Mobile Computing, 2019

Towards Energy Efficient LPWANs through Learning-based Multi-hop Routing.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs.
Proceedings of the 2019 Wireless Days, 2019

On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs.
Proceedings of the 2019 IEEE Conference on Standards for Communications and Networking, 2019

2018
HARE: Supporting Efficient Uplink Multi-Hop Communications in Self-Organizing LPWANs.
Sensors, 2018

Machine Learning and Software Defined Networks for High-Density WLANs.
CoRR, 2018

Towards Energy Efficient LPWANs through Learning-based Multi-hop Routing for the Uplink.
CoRR, 2018

Performance Analysis of Dynamic Channel Bonding in Spatially Distributed High Density WLANs.
CoRR, 2018

2017
Learning Optimal Routing for the Uplink in LPWANs Using Similarity-enhanced epsilon-greedy.
CoRR, 2017

Multi-hop communication in the uplink for LPWANs.
Comput. Networks, 2017

Learning optimal routing for the uplink in LPWANs using similarity-enhanced e-greedy.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2015
GOAT: A Tool for Planning Wireless Sensor Networks.
Proceedings of the Multiple Access Communications - 8th International Workshop, 2015


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