Optimal throughput analysis of a super dense wireless network with the Renewal Access Protocol

Yunbae Kim, G. Hwang, Jungsun Um, Sungjin Yoo, Hoiyoon Jung, Seungkeun Park
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引用次数: 5

Abstract

As Wireless Local Area Networks (WLANs) become denser and denser recently, the contention-based MAC protocol such as the IEEE 802.11 DCF, the de facto standard for the WLAN, should be modified to handle such dense WLANs. To this end, we consider a recently proposed novel MAC protocol called the Renewal Access Protocol (RAP) in this paper. With the RAP, we consider two strategies for resolving collisions efficiently and achieving high throughput performance in a super dense WLAN: strategies without and with grouping. First, we analyze the asymptotic behavior of the RAP itself (i.e., without grouping) as the number of terminals goes to infinity. We show that the RAP can achieve optimal throughput even in a super dense WLAN and the related optimal access probability of the RAP can be derived in a closed-form from the analysis. Second, we propose a new grouping strategy in the RAP and call it the grouped RAP (G-RAP). While a grouping strategy in the IEEE 802.11ah standard is based on time division, which can cause a waste of channel, our grouping strategy is based on transmission attempts, which does not waste channel resources. From the analysis we show that the G-RAP easily achieves the optimal network throughput performance for any group structure (i.e., unform group size and arbitrary group size) if terminals use the optimal access probability that we derive. Our analytical results are validated by simulation.
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基于更新访问协议的超密集无线网络的最优吞吐量分析
随着无线局域网(WLAN)的日益密集,需要对基于争用的MAC协议(如IEEE 802.11 DCF)进行修改,以适应这种密集的WLAN。为此,我们在本文中考虑了最近提出的一种新的MAC协议,称为更新访问协议(RAP)。在RAP中,我们考虑了在超密集WLAN中有效解决冲突和实现高吞吐量性能的两种策略:不分组和分组策略。首先,我们分析了RAP本身在终端数量趋于无穷时的渐近行为(即不分组)。结果表明,即使在超密集的WLAN中,RAP也能实现最优吞吐量,并且RAP的相关最优接入概率可以通过分析以封闭形式导出。其次,我们在RAP中提出了一种新的分组策略,称之为分组RAP (G-RAP)。IEEE 802.11ah标准中的分组策略是基于时间划分的,这会导致信道的浪费,而我们的分组策略是基于传输尝试数的,不会浪费信道资源。从分析中我们发现,如果终端使用我们得出的最优访问概率,G-RAP很容易实现任何组结构(即均匀组大小和任意组大小)的最优网络吞吐量性能。仿真结果验证了本文的分析结果。
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