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Optimizing FSO networks resilient to adverse weather conditions by means of enhanced uncertainty sets

机译:通过增强的不确定性集,优化FSO网络适用于恶劣天气条件

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This work deals with dimensioning of wireless mesh networks (WMN) composed of FSO (free space optics) links. Although FSO links realize broadband transmission at low cost, their drawback is sensitivity to adverse weather conditions causing transmission degradation on multiple links. Hence, designing such FSO networks requires an optimization model to find the cheapest configuration of link capacities that will be able to carry an acceptable level of the demanded traffic in all weather states that can be foreseen in network operation. Such a model can be achieved using robust optimization techniques, and for that it is important to find a tractable way of characterizing possible link (capacity) degradation states corresponding to weather conditions not known in advance. In the paper we show how the set of link degradation states may be represented mathematically in a compact and tractable way to be exploited in optimization. To solve this task we will make use of a generalization of a combinatorial problem of finding a minimum hitting set to deduce a compact set approximating a given set of link degradation states, (called uncertainty set). Finally, we provide a mathematical model with respect to a general form of uncertainty sets and illustrate the effectiveness of our model by means of a numerical study.
机译:这项工作涉及由FSO(自由空间光学器件)链接组成的无线网状网络(WMN)的尺寸。尽管FSO链路以低成本实现宽带传输,但其缺点是对恶劣天气条件的敏感性,导致多个链路上的传输劣化。因此,设计这种FSO网络需要优化模型,以找到能够在网络操作中可以预见的所有天气状态中携带所需流量的可接受水平的最便宜的链接能力配置。可以使用鲁棒优化技术实现这种模型,并且为了找到特征表征与预先知道的天气条件相对应的可能链路(容量)的劣化状态是重要的。在论文中,我们展示了如何在优化中以紧凑且易易用的方式在数学上数学地表示链接劣化状态。为了解决这项任务,我们将利用找到最小击中集的组合问题的概括,以推导近似于一组给定的链路劣化状态(称为不确定性集)的紧凑型集。最后,我们提供了一般形式的不确定性集的数学模型,并通过数值研究说明了我们模型的有效性。

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