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To Bond or Not to Bond: An Optimal Channel Allocation Algorithm for Flexible Dynamic Channel Bonding in WLANs

机译:绑定或不绑定:WLAN中灵活动态信道绑定的最优信道分配算法

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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 allocation algorithm based on the Branch-and-Bound Method (BBM). Simulations show the proposed algorithm can achieve the maximal system throughput under various network settings. Importantly, it turns out that the maximal throughput performance can be achieved under the channel allocation scheme with the least overlapped channels among WLANs, which brings new insights into the design and optimization of future WLANs, especially for those adopting CB technique.
机译:为了满足WLAN中快速增长的数据速率要求,802.11ac中采用的一项重要技术是通道绑定(CB)方案,该方案结合了多个20MHz通道以在5GHz频带中进行单次传输。为了在一系列竞争操作之后有效访问信道,802.11ac指定了两种不同的CB操作:动态信道绑定(DCB)和静态信道绑定(SCB)。本文提出了一种最佳的信道分配算法,以实现DCB WLAN的最大吞吐量。具体来说,我们首先采用连续时间马尔可夫链(CTMC)模型来分析均衡吞吐量。基于吞吐量分析,我们然后以使系统吞吐量最大化为目标,构造一个整数非线性规划(INLP)模型。通过求解INLP模型,然后我们提出了一种基于分支定界方法(BBM)的最优信道分配算法。仿真表明,该算法在各种网络设置下都能达到最大的系统吞吐量。重要的是,事实证明,在信道分配方案下,在WLAN之间重叠信道最少的情况下,可以实现最大的吞吐量性能,这为未来WLAN的设计和优化带来了新的见解,尤其是对于那些采用CB技术的WLAN。

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