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Three-phase heuristic algorithm for Wireless LAN planning

机译:无线局域网规划的三相启发式算法

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In this work, we deal with the Wireless LAN planning problem. We study this problem and we propose to couple its two major issues: AP placement and channel assignment to treat them jointly. Here, we propose a novel fast and scalable three-phase heuristic algorithm (TPHA). Our proposal is able to resolve the defined multiobjective problem to provide (1) the efficient number of Access Points (APs) to be deployed, while (2) ensuring the coverage of all Test Points (TPs) and (3) maximizing their nominal data rate. To achieve the first objective, we propose an heuristic called MCL-ILP combining the quick decision making yields from the Markovian CLustering algorithm and the exact solution provided by the Integer Linear Programming. Hence, a TPs-based Least Interfering Channel Search algorithm (TLICS) has been proposed for channel assignment to improve the throughput at TP locations. However, the Virtual Forces-based WLAN Planing Algorithm namely VFPA considers the results delivered by the two previous algorithms as an initial solution and tries to enhance it by adjusting the APs's positions and re-assigning their operating frequencies. Computational results exhibit that our proposal is highly beneficial to designing WLANs.
机译:在这项工作中,我们处理无线局域网规划问题。我们研究了这个问题,并建议将它的两个主要问题结合在一起:AP放置和信道分配以共同处理它们。在这里,我们提出了一种新颖的快速可扩展的三相启发式算法(TPHA)。我们的建议能够解决已定义的多目标问题,以提供(1)要部署的有效接入点(AP)数量,同时(2)确保所有测试点(TP)的覆盖范围和(3)最大化其名义数据速度。为了实现第一个目标,我们提出了一种启发式方法,称为MCL-ILP,它结合了Markovian CLustering算法的快速决策结果和Integer Linear Programming提供的精确解决方案。因此,已经提出了基于TP的最小干扰信道搜索算法(TLICS)用于信道分配,以提高TP位置处的吞吐量。但是,基于虚拟部队的WLAN计划算法(VFPA)将前两种算法提供的结果作为初始解决方案,并尝试通过调整AP的位置并重新分配其工作频率来增强它。计算结果表明,我们的建议对设计WLAN非常有益。

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