在多速率802.11e无线局域网中实现比例公平的最佳CWmin选择:试验台实现和评估

V. Siris, G. Stamatakis
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引用次数: 77

摘要

我们研究了在多速率IEEE 802.11e测试平台中最小竞争窗口值的最佳选择,以实现比例公平。与其他方法不同的是,所提出的模型考虑了802.11 MAC层操作基于争用的本质,并考虑了站可以根据不同的吞吐量类别拥有不同权重的情况。我们的测试平台评估考虑了无线站实现的长期吞吐量和短期公平性。当所有站点具有相同的传输速率时,当站点的吞吐量与其权重因子成正比时实现最优,并且最优最小争用窗口也最大化总吞吐量。当站点具有不同的传输速率时,高速率站点的最佳最小竞争窗口小于低速率站点。此外,我们将比例公平性与基于时间的公平性进行了比较,后者可以通过调整数据包大小来实现,从而使低速率站和高速率站具有相同的成功传输时间,或者通过调整传输机会(TXOP)限制来实现,从而使高速率站传输多个背靠背数据包,从而与传输单个数据包的低速率站占用信道的时间相同。试验台实验表明,当站点具有不同的传输速率和相同的权重时,比例公平在总效用和吞吐量方面都优于基于时间的公平方法。
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Optimal CWmin selection for achieving proportional fairness in multi-rate 802.11e WLANs: test-bed implementation and evaluation
We investigate the optimal selection of minimum contention window values to achieve proportional fairness in a multirate IEEE 802.11e test-bed. Unlike other approaches, the proposed model accounts for the contention-based nature of 802.11's MAC layer operation and considers the case where stations can have different weights corresponding to different throughput classes. Our test-bed evaluation considers both the long-term throughput achieved by wireless stations and the short-term fairness. When all stations have the same transmission rate, optimality is achieved when a station's throughput is proportional to its weight factor, and the optimal minimum contention windows also maximize the aggregate throughput. When stations have different transmission rates, the optimal minimum contention window for high rate stations is smaller than for low rate stations. Furthermore, we compare proportional fairness with time-based fairness, which can be achieved by adjusting packet sizes so that low and high rate stations have equal successful transmission times, or by adjusting the transmission opportunity (TXOP)limit so that high rate stations transmit multiple back-to-back packets and thus occupy the channel for the same time as low rate stations that transmit a single packet. The test-bed experiments show that when stations have different transmission rates and the same weight, proportional fairness achieves higher performance than the time-based fairness approaches, in terms of both aggregate utility and throughput.
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