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09/19/2023
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
Cellular traffic prediction is a crucial activity for optimizing network...
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09/17/2023
Throughput Analysis of IEEE 802.11bn Coordinated Spatial Reuse
Multi-Access Point Coordination (MAPC) is becoming the cornerstone of th...
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09/15/2022
How Much Does It Cost to Train a Machine Learning Model over Distributed Data Sources?
Federated learning (FL) is one of the most appealing alternatives to the...
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05/20/2022
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning
Federated learning (FL), thanks in part to the emergence of the edge com...
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03/20/2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs
As wireless standards evolve, more complex functionalities are introduce...
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02/03/2022
End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications
Due to the increasing interest in blockchain technology for fostering se...
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12/15/2021
Blockchain-enabled Server-less Federated Learning
Motivated by the heterogeneous nature of devices participating in large-...
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12/01/2021
TXOP sharing with Coordinated Spatial Reuse in Multi-AP Cooperative IEEE 802.11be WLANs
IEEE 802.11be networks (aka Wi-Fi 7) will have to cope with new bandwidt...
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07/05/2021
Blockchain-enabled Network Sharing for O-RAN
The innovation provided by network virtualization in 5G, together with s...
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05/29/2021
On the Performance of Blockchain-enabled RAN-as-a-service in Beyond 5G Networks
Blockchain (BC) technology can revolutionize the future of communication...
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05/29/2021
Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs
With the advent of Artificial Intelligence (AI)-empowered communications...
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04/12/2021
Discrete-Time Analysis of Wireless Blockchain Networks
Blockchain (BC) technology can revolutionize future networks by providin...
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05/17/2020
Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks
Without any doubt, Machine Learning (ML) will be an important driver of ...
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10/08/2019
A Flexible Machine Learning-Aware Architecture for Future WLANs
Lots of hopes have been placed in Machine Learning (ML) as a key enabler...
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10/08/2019
A Flexible Machine Learning-Aware Architecturefor Future WLANs
Lots of hopes have been placed in Machine Learning (ML) as a key enabler...
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07/09/2019
Spatial Reuse in IEEE 802.11ax WLANs
Dealing with massively crowded scenarios is one of the most ambitious go...
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07/01/2019
Online Primary Channel Selection for Dynamic Channel Bonding in High-Density WLANs
In order to dynamically adapt the transmission bandwidth in wireless loc...
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06/19/2019
On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs
The Spatial Reuse (SR) operation included in the IEEE 802.11ax-2020 (11a...
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11/29/2018
Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs
Komondor is a wireless network simulator for next-generation wireless lo...
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05/28/2018
Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs
Spatial Reuse (SR) has recently gained attention for performance maximiz...
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04/16/2018
Machine Learning and Software Defined Networks for High-Density WLANs
Next generation of wireless local area networks (WLANs) will operate in ...
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03/24/2018
To overlap or not to overlap: Enabling Channel Bonding in High Density WLANs
Wireless local area networks (WLANs) are the most popular kind of wirele...
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01/02/2018
Performance Analysis of Dynamic Channel Bonding in Spatially Distributed High Density WLANs
In this paper we discuss the effects on throughput and fairness of dynam...
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10/31/2017