Talks and presentations

See a map of all the places I've given a talk!

Towards the implementation of 11ax features in Komondor

June 21, 2019

Conference, Workshop on Next-Generation Wireless with ns-3, Florence, Italy

Presentation of the Komondor simulator, where novel 11ax-based features are implemented. Particular emphasis was put on the Spatial Reuse (SR) part.

Research seminar at the Rice Network Group (#2)

February 25, 2019

Dissemination, Research stay at the Rice Networks Group (Rice University), Houston, United States

Presentation of the WACA project: “Inferring the potential of multi-channel access in the 802.11ac/ax 5-GHz band (An experimental approach)”

Research seminar at the Rice Network Group (#1)

November 12, 2018

Dissemination, Research stay at the Rice Networks Group (Rice University), Houston, United States

Presentation about the research done by Sergio Barrachina at the Wireless Networking group (Universitat Pompeu Fabra).

Poster: Performance Analysis of Dynamic Channel Bonding in Spatially Distributed High Density WLANs

March 09, 2018

Poster, 6th EITIC Doctoral Student Workshop, Barcelona, Spain

Abstract: We present novel insights on the effects of dynamic channel bonding (DCB) policies in WLANs. We depict the complex interactions that are given in spatially distributed scenarios through Continuous Time Markov Networks (CTMNs). Then, we assess the performance of such policies in high density (HD) IEEE 802.11ax scenarios by means of simulations. We show that always picking the widest channels available can be suboptimal in terms of individual throughput and fairness. Thus, more flexible policies like stochastic width selection are required. Besides, we show that policy learning and/or adaptation is required on a per WLAN basis.

Poster: Enhancing Wireless Networks Performance through Learning-based Dynamic Spectrum Access

March 01, 2017

Poster, 5th EITIC Doctoral Student Workshop, Barcelona, Spain

Abstract: The number of devices accessing the Internet through Wireless Local Area Networks (WLANs) is increasing drastically. WLANs are managed by different operators, leading to chaotic wireless spectrum occupancy. By means of transmitting in wider channels through dynamic spectrum access, higher short-term throughputs are achieved. However, the contention among nodes leads to undesirable low performance, which is critical in high-density scenarios like football stadiums and apartment buildings. We propose a learning-based channel selection policy for optimizing WLANs throughput.