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Joint Frequency Assignment and Optimal Association of Stations to Access Points in IEEE 802.11 WLAN

机译:IEEE 802.11 WLAN中的联合频率分配和站点到接入点的最佳关联

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Frequency channels are allocated to the access-points (APs) subject to an acceptable co-channel interference level in an IEEE 802.11 WLAN. Due to limited number of the non-overlapping frequency channels, all APs in a given area may not be activated simultaneously. Therefore which subset of the APs to select for activation is a major concern. Given a set of selected APs, often a station (STA) can potentially associate with more than one AP. The association of an STA to an inappropriate AP will not only lead to degraded service for the concern STA but also may pull down the throughput of the other STAs associated with that AP. Thus finding the optimal association between STAs and APs is another important concern. We argue that treating these two issues in succession may lead to suboptimal solutions, whereas, ignoring the co-channel interference may result over estimation of the throughput. In this paper, an integrated model based on integer programming and an efficient greedy algorithm are proposed that address both aspects simultaneously and maximizes the overall throughput while taking care of load balancing across different APs. Computational results show that indeed the integrated approach is superior to both two-step approach and methods that ignore the interference.
机译:在IEEE 802.11 WLAN中,将信道分配给接入点(AP)时要遵循可接受的同信道干扰级别。由于非重叠频道的数量有限,给定区域中的所有AP可能无法同时激活。因此,选择要激活的AP的哪个子集是一个主要问题。给定一组选定的AP,通常一个站点(STA)可能会与一个以上的AP关联。 STA与不合适的AP的关联不仅会导致关注STA的服务质量下降,而且还会拉低与该AP关联的其他STA的吞吐量。因此,找到STA和AP之间的最佳关联是另一个重要的问题。我们认为,连续处理这两个问题可能会导致解决方案欠佳,而忽略同信道干扰可能会导致吞吐量估计过高。在本文中,提出了一种基于整数规划和高效贪婪算法的集成模型,该模型可以同时解决这两个方面的问题,并在照顾到不同AP之间的负载平衡的同时,最大化整体吞吐量。计算结果表明,集成方法确实优于两步法和忽略干扰的方法。

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