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On max-min fair flow optimization in wireless mesh networks

机译:无线网状网络中的最大-最小公平流优化

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摘要

The paper is devoted to modeling wireless mesh networks (WMN) through mixed-integer programming (MIP) formulations that allow to precisely characterize the link data rate capacity and transmission scheduling using the notion of time slots. Such MIP models are formulated for several cases of the modulation and coding schemes (MCS) assignment. We present a general way of solving the max-min fairness (MMF) traffic objective for WMN using the formulated capacity models. Thus the paper combines WMN radio link modeling with a non-standard way of dealing with uncertain traffic, a combination that has not, to our knowledge, been treated so far by exact optimization models. We discuss several ways, including a method based on the so called compatible or independent sets, of solving the arising MIP problems. We also present an extensive numerical study that illustrates the running time efficiency of different solution approaches, and the influence of the MCS selection options and the number of time slots on traffic performance of a WMN. Exact joint optimization modeling of the WMN capacity and the MMF traffic objectives forms the main contribution of the paper. (C) 2011 Elsevier B.V. All rights reserved.
机译:本文致力于通过混合整数编程(MIP)公式对无线网状网络(WMN)进行建模,该公式允许使用时隙概念来精确表征链路数据速率容量和传输调度。针对调制和编码方案(MCS)分配的几种情况制定了这种MIP模型。我们提出了使用公式化的容量模型解决WMN的最大最小公平(MMF)交通目标的一般方法。因此,本文将WMN无线电链路建模与处理不确定流量的非标准方法相结合,据我们所知,迄今为止,尚未通过精确的优化模型来处理这种组合。我们讨论了几种解决出现的MIP问题的方法,包括基于所谓的兼容或独立集的方法。我们还提供了广泛的数值研究,阐明了不同解决方案方法的运行时间效率,以及MCS选择选项和时隙数对WMN流量性能的影响。 WMN容量和MMF业务目标的精确联合优化建模是本文的主要贡献。 (C)2011 Elsevier B.V.保留所有权利。

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