The second Maria de Maeztu Strategic Research Program (CEX2021-001195-M) of the Department of Information and Communication Technologies (DTIC) takes place between 2023 and 2026. The website for this program is under construction. You can find some details in this news.

The first María de Maeztu Strategic Research Program (MDM-2015-0502) took place between January 2016 and June 2020. It was focused on data-driven knowledge extraction, boosting synergistic research initiatives across our different research areas.

Back Barrachina-Munoz S, Wilhelmi F, Bellalta B. To overlap or not to overlap: Enabling Channel Bonding in High Density WLANs

Barrachina-Munoz S, Wilhelmi F, Bellalta B. To overlap or not to overlap: Enabling Channel Bonding in High Density WLANs

Wireless local area networks (WLANs) are the most popular kind of wireless Internet connection. However, the number of devices accessing the Internet through WLANs such as laptops, smartphones, or wearables, is increasing drastically at the same time that applications’ throughput requirements do. To cope with the later challenge, channel bonding (CB) techniques are used for enabling higher data rates by transmitting in wider channels. Nonetheless, some important issues such as higher potential co-channel interference arise when bonding channels. In this paper we address this point at issue: is it convenient for high density WLANs to use wider channels and potentially overlap in spectrum? We show that, while the performance of static CB is really poor, spectrum overlapping is highly convenient when adapting to the medium through dynamic channel bonding (DCB); specially for low to moderate traffic loads. Contradicting most of current thoughts, the presented results suggest that future wireless networks should be allowed to use all available spectrum, and locally adapt to desirable configurations.

 

Additional material:

Software: Komondor https://github.com/wn-upf/Komondor/releases/tag/v1.2

arXiv preprint https://arxiv.org/abs/1803.09112

Department of Information and Communication Technologies, UPF

Grant CEX2021-001195-M funded by MCIN/AEI /10.13039/501100011033


 


Department of Information and Communication Technologies, UPF

[email protected]

  • Àngel Lozano - Scientific director
  • Aurelio Ruiz - Program management