55 citations · 72 across the 11 of their papers we have counts for
20 papers
Kom8ndor: An IEEE 802.11bn-Oriented Simulator for Wi-Fi 8 and Beyond
Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta
The upcoming IEEE 802.11bn amendment marks a paradigm shift in Wi-Fi, which will pose ambitious performance targets under the paradigm of Ultra-High Reliability (UHR). To understan…
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi
Francesc Wilhelmi, Boris Bellalta, Szymon Szott +2
Multi-Access Point Coordination (MAPC) and Artificial Intelligence and Machine Learning (AI/ML) are expected to be key features in future Wi-Fi, such as the forthcoming IEEE 802.11…
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation
Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui +5
The move toward artificial intelligence (AI)-native sixth-generation (6G) networks has put more emphasis on the importance of explainability and trustworthiness in network manageme…
End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications
Francesc Wilhelmi, Sergio Barrachina-Muñoz, Paolo Dini
Due to the increasing interest in blockchain technology for fostering secure, auditable, decentralized applications, a set of challenges associated with this technology need to be…
Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs
Sergio Barrachina-Muñoz, Alessandro Chiumento, Boris Bellalta
Spectrum allocation in the form of primary channel and bandwidth selection is a key factor for dynamic channel bonding (DCB) wireless local area networks (WLANs). To cope with vary…
Wi-Fi All-Channel Analyzer
Sergio Barrachina-Muñoz, Boris Bellalta, Edward Knightly
In this paper, we present WACA, the first system to simultaneously measure the energy in all 24 Wi-Fi channels that allow channel bonding at 5 GHz with microsecond scale granularit…
A Flexible Machine Learning-Aware Architecture for Future WLANs
Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta +3
Lots of hopes have been placed on Machine Learning (ML) as a key enabler of future wireless networks. By taking advantage of large volumes of data, ML is expected to deal with the…
Spatial Reuse in IEEE 802.11ax WLANs
Francesc Wilhelmi, Sergio Barrachina Muñoz, Cristina Cano +2
Dealing with massively crowded scenarios is one of the most ambitious goals of next-generation wireless networks. With this goal in mind, the IEEE 802.11ax amendment includes, amon…
Online Primary Channel Selection for Dynamic Channel Bonding in High-Density WLANs
Sergio Barrachina-Muñoz, Francesc Wilhelmi, Boris Bellalta
In order to dynamically adapt the transmission bandwidth in wireless local area networks (WLANs), dynamic channel bonding (DCB) was introduced in IEEE 802.11n. It has been extended…
On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs
Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta
The Spatial Reuse (SR) operation included in the IEEE 802.11ax-2020 (11ax) amendment aims at increasing the number of parallel transmissions in an Overlapping Basic Service Set (OB…
Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs
Sergio Barrachina-Muñoz, Francesc Wilhelmi, Ioannis Selinis +1
Komondor is a wireless network simulator for next-generation wireless local area networks (WLANs). The simulator has been conceived as an accessible (ready-to-use) open source tool…
Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs
Francesc Wilhelmi, Sergio Barrachina-Muñoz, Cristina Cano +3
Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE 802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to be key in…
Combining Software Defined Networks and Machine Learning to enable Self Organizing WLANs
Álvaro López-Raventós, Francesc Wilhelmi, Sergio Barrachina-Muñoz +1
Next generation of wireless local area networks (WLANs) will operate in dense, chaotic and highly dynamic scenarios that in a significant number of cases may result in a low user e…
Towards Energy Efficient LPWANs through Learning-based Multi-hop Routing
Sergio Barrachina-Muñoz, Toni Adame, Albert Bel +1
Low-power wide area networks (LPWANs) have been identified as one of the top emerging wireless technologies due to their autonomy and wide range of applications. Yet, the limited e…
To overlap or not to overlap: Enabling Channel Bonding in High-Density WLANs
Sergio Barrachina-Muñoz, Francesc Wilhelmi, Boris Bellalta
Wireless local area networks (WLANs) are the most popular kind of wireless Internet connection because of their simplicity of deployment and operation. As a result, the number of d…
Dynamic Channel Bonding in Spatially Distributed High-Density WLANs
Sergio Barrachina-Muñoz, Francesc Wilhelmi, Boris Bellalta
In this paper, we discuss the effects on throughput and fairness of dynamic channel bonding (DCB) in spatially distributed high-density wireless local area networks (WLANs). First,…
Collaborative Spatial Reuse in Wireless Networks via Selfish Multi-Armed Bandits
Francesc Wilhelmi, Cristina Cano, Gergely Neu +3
Next-generation wireless deployments are characterized by being dense and uncoordinated, which often leads to inefficient use of resources and poor performance. To solve this, we e…
Learning Optimal Routing for the Uplink in LPWANs Using Similarity-enhanced epsilon-greedy
Sergio Barrachina-Muñoz, Boris Bellalta
Despite being a relatively new communication technology, Low-Power Wide Area Networks (LPWANs) have shown their suitability to empower a major part of Internet of Things applicatio…
HARE: Supporting efficient uplink multi-hop communications in self-organizing LPWANs
Toni Adame, Sergio Barrachina, Boris Bellalta +1
The emergence of low-power wide area networks (LPWANs) as a new agent in the Internet of Things (IoT) will result in the incorporation into the digital world of low-automated proce…
Multi-hop Communication in the Uplink for LPWANs
Sergio Barrachina, Boris Bellalta, Toni Adame +1
Low-Power Wide Area Networks (LPWANs) have arisen as a promising communication technology for supporting Internet of Things (IoT) services due to their low power operation, wide co…