To Bond or not to Bond: An Optimal Channel Allocation Algorithm For Flexible Dynamic Channel Bonding in WLANs
Caihong Kai, Yuting Liang, Tianyu Huang, Xu Chen

TL;DR
This paper introduces an optimal channel allocation algorithm for dynamic channel bonding in WLANs, maximizing throughput by minimizing channel overlap, using Markov Chain analysis and nonlinear programming.
Contribution
It presents a novel optimal channel allocation algorithm based on Markov Chain modeling and nonlinear programming for dynamic channel bonding in WLANs.
Findings
Maximal throughput achieved with minimal channel overlap.
Proposed algorithm outperforms existing schemes in simulations.
Insights into WLAN design with channel bonding techniques.
Abstract
IEEE 802.11 has evolved from 802.11a/b/g/n to 802.11ac to meet rapidly increasing data rate requirements in WLANs. One important technique adopted in 802.11ac is the channel bonding (CB) scheme that combines multiple 20MHz channels for a single transmission in 5GHz band. In order to effectively access channel after a series of contention operations, 802.11ac specifies two different CB operations: Dynamic Channel Bonding (DCB) and Static Channel Bonding (SCB). This paper proposes an optimal channel allocation algorithm to achieve maximal throughputs in DCB WLANs. Specifically, we first adopt a continuous-time Markov Chain (CTMC) model to analyze the equilibrium throughputs. Based on the throughput analysis, we then construct an integer nonlinear programming (INLP) model with the target of maximizing system throughputs. By solving the INLP model, we then propose an optimal channel…
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Taxonomy
TopicsWireless Networks and Protocols · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
