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Budget-Constrained, Capacitated Hub Location to Maximize Expected Demand Coverage in Fixed-Wireless Telecommunication Networks

机译:预算受限,容量大的集线器位置,可最大限度地提高固定无线电信网络的预期需求覆盖率

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This paper presents a quantitative model for telecommunication network installation by companies in the broadband-access business, specialized to the fixed-wireless case. Under stochastic demand modeled using scenarios, we maximize the expected demand coverage subject to a budget constraint on hub installation, and technological constraints on demand coverage by installed hubs. There are multiple hub types, differing in costs and capacities. We present a practical greedy heuristic based on the budgeted maximum-coverage problem and analyze its worst-case performance. For special cases with a single hub type or a single demand scenario, we show that a guarantee of 1 - 1/e or 63.2% applies to our greedy heuristic. For the general case we develop a data-dependent performance guarantee. Through computational experiments, we show that the greedy heuristic's empirical performance is, on average, within 2% of the optimal expected demand coverage.
机译:本文为宽带接入业务中的公司提供了专门针对固定无线情况的电信网络安装的定量模型。在使用场景建模的随机需求下,我们在集线器安装的预算约束和已安装集线器的需求覆盖的技术约束的前提下,最大化了预期的需求覆盖率。集线器类型多种多样,成本和容量各不相同。我们根据预算的最大覆盖率问题提出一种实用的贪婪启发式方法,并分析其最坏情况下的性能。对于具有单个集线器类型或单个需求场景的特殊情况,我们表明对我们的贪婪启发式算法的保证为1-1 / e或63.2%。对于一般情况,我们开发了与数据相关的性能保证。通过计算实验,我们表明贪婪启发式方法的经验性能平均在最佳预期需求覆盖率的2%以内。

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