Online Primary Channel Selection for Dynamic Channel Bonding in High-Density WLANs

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 since then, and it is expected to be a key element in IEEE 802.11ax and future amendments such as IEEE 802.11be. While DCB is proven to be a compelling mechanism by itself, its performance is deeply tied to the primary channel selection, especially in high-density (HD) deployments, where multiple nodes contend for the spectrum. Traditionally, this primary channel selection relied on picking the most free one without any further consideration. In this letter, in contrast, we propose dynamic-wise (DyWi), a light-weight, decentralized, online primary channel selection algorithm for DCB that improves the expected WLAN throughput by considering not only the occupancy of the target primary channel but also the activity of the secondary channels. Even when assuming important delays due to primary channel switching, simulation results show a significant improvement both in terms of average delay and throughput.

[1]  Minyoung Park,et al.  IEEE 802.11ac: Dynamic Bandwidth Channel Access , 2011, 2011 IEEE International Conference on Communications (ICC).

[2]  Julien Herzen,et al.  Distributed spectrum assignment for home WLANs , 2013, 2013 Proceedings IEEE INFOCOM.

[3]  Kevin C. Almeroth,et al.  Intelligent Channel Bonding in 802.11n WLANs , 2014, IEEE Transactions on Mobile Computing.

[4]  Allen B. MacKenzie,et al.  Adaptive channel bonding in wireless LANs under demand uncertainty , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[5]  Boris Bellalta,et al.  Dynamic Channel Bonding in Spatially Distributed High-Density WLANs , 2018, IEEE Transactions on Mobile Computing.

[6]  Jaume Barceló,et al.  On the Interactions Between Multiple Overlapping WLANs Using Channel Bonding , 2014, IEEE Transactions on Vehicular Technology.

[7]  Zhu Han,et al.  A Renewal Theory Based Analytical Model for Multi-Channel Random Access in IEEE 802.11ac/ax , 2019, IEEE Transactions on Mobile Computing.

[8]  Boris Bellalta,et al.  Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs , 2019, 2019 Wireless Days (WD).

[9]  Boris Bellalta,et al.  To overlap or not to overlap: Enabling Channel Bonding in High Density WLANs , 2018, Comput. Networks.

[10]  Boris Bellalta,et al.  The TMB path loss model for 5 GHz indoor WiFi scenarios: On the empirical relationship between RSSI, MCS, and spatial streams , 2018, 2019 Wireless Days (WD).