Barrachina-Muñoz S, Wilhelmi Roca FJ, Bellalta B. Dynamic Channel Bonding in Spatially Distributed High-Density WLANs. IEEE Transactions on Mobile Computing
List of results published directly linked with the projects co-funded by the Spanish Ministry of Economy and Competitiveness under the María de Maeztu Units of Excellence Program (MDM-2015-0502).
The record for each publication will include access to postprints (following the Open Access policy of the program), as well as datasets and software used. Ongoing work with UPF Library and Informatics will improve the interface and automation of the retrieval of this information soon.
Back Barrachina-Muñoz S, Wilhelmi Roca FJ, Bellalta B. Dynamic Channel Bonding in Spatially Distributed High-Density WLANs. IEEE Transactions on Mobile Computing
Barrachina-Munoz S, Wilhelmi F, Bellalta B. Performance Analysis of Dynamic Channel Bonding in Spatially Distributed High Density WLANs. arXiv preprint.
In this paper we discuss the effects on throughput and fairness of dynamic channel bonding (DCB) in spatially distributed high density (HD) wireless local area networks (WLANs). First, we present an analytical framework based on continuous time Markov networks (CTMNs) for depicting the phenomena given when applying different DCB policies in spatially distributed scenarios, where nodes are not required to be within the carrier sense of each other. Then, we assess the performance of DCB in HD IEEE 802.11ax WLANs by means of simulations. Regarding spatial distribution, we show that there may be critical interrelations among nodes – even if they are located outside the carrier sense range of each other – in a chain reaction manner. Results also show that, while always selecting the widest available channel normally maximizes the individual long-term throughput, it often generates unfair scenarios where other WLANs starve. Moreover, we show that there are scenarios where DCB with stochastic channel width selection improves the latter approach both in terms of individual throughput and fairness. It follows that there is not a unique DCB policy that is optimal for every case. Instead, smarter bandwidth adaptation is required in the challenging scenarios of next-generation WLANs.
- Spatial-Flexible Continuous Time Markov Network( SFCTMN), analytical framework based on Continuous Time Markov Networks (CTMNs). https://github.com/ sergiobarra/SFCTMN
- Komondor, a wireless networks simulator built on top of COST library https://github.com/wn-upf/ Komondor
- arXiv pre-print: https://arxiv.org/abs/1801.00594