Analysis of Dynamic Channel Bonding in Dense Networks of WLANs

TL;DR

This paper develops an analytical Markov chain model to evaluate the performance of dense WLAN networks using Dynamic Channel Bonding, revealing how increased bandwidth impacts throughput and contention.

Contribution

It introduces a systematic method for constructing Markov chain models for DCB WLANs and demonstrates their accuracy in realistic scenarios.

Findings

DCB increases potential throughput but also contention.

The model accurately predicts performance in dense WLAN scenarios.

Key properties differentiate DCB networks from single-channel WLANs.

Abstract

Dynamic Channel Bonding (DCB) allows for the dynamic selection and use of multiple contiguous basic channels in Wireless Local Area Networks (WLANs). A WLAN operating under DCB can enjoy a larger bandwidth, when available, and therefore achieve a higher throughput. However, the use of larger bandwidths also increases the contention with adjacent WLANs, which can result in longer delays in accessing the channel and consequently, a lower throughput. In this paper, a scenario consisting of multiple WLANs using DCB and operating within carrier-sensing range of one another is considered. An analytical framework for evaluating the performance of such networks is presented. The analysis is carried out using a Markov chain model that characterizes the interactions between adjacent WLANs with overlapping channels. An algorithm is proposed for systematically constructing the Markov chain corresponding to any given scenario. The analytical model is then used to highlight and explain the key properties that differentiate DCB networks of WLANs from those operating on a single shared channel. Furthermore, the analysis is applied to networks of IEEE 802.11ac WLANs operating under DCB--which do not fully comply with some of the simplifying assumptions in our analysis--to show that the analytical model can give accurate results in more realistic scenarios.