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Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach

机译:在IEEE 802.11ac动态带宽信道访问中支持吞吐量公平性:一种混合方法

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Wi-Fi enabled hand-held devices have quickly occupied the consumer market as a result of the remarkable customer acceptance of IEEE 802.11 standard. In this regard, the demand of high throughput introduces high throughput standards such as IEEE 802.11ac. It supports Dynamic Bandwidth Channel Access (DBCA), where a wireless station selects channel bandwidth dynamically based on the availability of the secondary channels. But the widely-used contention based medium access mechanism provides an opportunistic access of secondary channels and affects the performance of DBCA. Consequently, unfairness in channel access is increased in DBCA, which further reduces average throughput of stations. In this paper, we develop a hybrid adaptive resource reservation mechanism, Hybrid Adaptive DBCA (HA-DBCA), for supporting fair channel access in DBCA. In HA-DBCA, a polling based online learning mechanism is designed to avoid starvation of primary channel users. Through IEEE 802.11ac testbed implementation, we show that HA-DBCA improves throughput fairness in DBCA significantly along with other performance parameters.
机译:由于客户对IEEE 802.11标准的高度认可,具有Wi-Fi功能的手持设备已迅速占领了消费市场。在这方面,对高吞吐量的需求引入了诸如IEEE 802.11ac的高吞吐量标准。它支持动态带宽信道访问(DBCA),其中无线站根据辅助信道的可用性动态选择信道带宽。但是,广泛使用的基于竞争的媒体访问机制提供了辅助通道的机会访问,并影响了DBCA的性能。因此,DBCA中通道访问的不公平性增加,这进一步降低了站的平均吞吐量。在本文中,我们开发了一种混合自适应资源预留机制,即混合自适应DBCA(HA-DBCA),用于支持DBCA中的公平信道访问。在HA-DBCA中,设计了一种基于轮询的在线学习机制,以避免主渠道用户饥饿。通过IEEE 802.11ac测试平台的实现,我们证明HA-DBCA与其他性能参数一起显着提高了DBCA中的吞吐量公平性。

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