A Markov model for performance evaluation of channel bonding in IEEE 802.11

Abstract

The ever-growing popularity of Wireless Local Area Networks (WLANs) in home, public, and work environments is fuelling the need for WLANs that can accommodate more stations, each with higher throughput. This typically results in WLANs containing a larger number of heterogeneous devices, making the prediction of the network's behavior and its efficient configuration an even more elaborate problem. In this paper, we propose a Markovian model that predicts the throughput achieved by each Access Point (AP) of the WLAN as a function of the network's topology and the AP's throughput demands. By means of simulation, we show that our model achieves mean relative errors of around 10% for networks of different sizes and with diverse node configurations. The model is adapted to the specification of IEEE 802.11 standards that implement channel bonding, namely 802.11n/ac/ax, and as such it can be used to provide insight into issues of channel assignment when using channel bonding. We derive guidelines on the best practice in static channel bonding given a performance metric and for different node characteristics such as the Modulation and Coding Scheme (MCS) indexes, frame aggregation rates, saturation levels, and network topologies. We then put our findings to the test by identifying the optimal channel bonding combination in an 802.11ac WLAN containing nodes with diverse characteristics. We conclude that the optimal solution is highly dependent on the particular network configuration. However, we find that, in general, larger channels are better suited for throughput maximization and smaller (and separate) channels render higher fairness.

Performance Evaluation of the Giga-bit 802.11ac Based WLANs

“…The results suggested further investigations across different standards, equipment, and environments. Alternatively, a Markovian model was presented to predict AP throughput based on network topology and demands (Stojanova et al, 2021). Simulations showed a 10% mean error.…”

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

“…In view of the throughput investigation, they at that point build an integer nonlinear programming (INLP) model, which aims in expanding framework throughputs. An ideal channel allocation algorithm dependent on the branch‐and‐bound method (BBM) by comprehending the INLP model is proposed in Kai et al 60 Addressing the CB issues in WLAN, Stojanova et al 61 have proposed a Markovian model to predict the throughput achieved by each AP of the WLAN considering the network's topology and the AP's throughput demands. In a previous work, 62 the authors have proposed joint optimization of assigning the transmission power, the frequency channel, and the CB to improve the throughput performance of IEEE 802.11n WLAN.…”

Performance Analysis of Tyre Manufacturing System in the SMEs Using RAMD Approach

“…Performance and evaluation of channel bonding in the wireless local area network have been described. We proposed the better and optimal channel bonding with the utilization of the Markov decision model and modulation and coding scheme technology to the access point analysis of local area wireless network connection [22]. e systematic literature review of the reliability, availability, maintainability, and security/safety (RAMS) for critical infrastructure protection is explained.…”