Dynamic Channel Bonding Using Laser Chaos Decision Maker in WLANs

Abstract

Channel bonding (CB) is one of the most important techniques to optimize the spectrum efficiency in wireless local area networks (WLANs). IEEE 802.11ac as the most widely used standard of WLANs extends the number of basic channels of CB to 8, which can support the maximum channel widths of 160MHz. In order to avoid collisions, improve throughput while reducing communication latency, we propose an ultra-high-speed dynamic CB method using laser decision based MAB algorithm in IEEE 802.11ac network. Our proposed method can make the CB decision within the order of GHz. Besides, most existing works studying the CB protocol are based on analytical model or simulations. Since analytical model or simulations cannot accurately predict the network performance in practical communication scenarios, we evaluate our proposed algorithm by experiments in this paper. Experimental results show that our proposed method can make better CB decisions than other MAB algorithms termed as $\varepsilon$-greedy policy and UCB1-tuned.