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arXiv 1602.05038cs.DMmath.CO
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频谱图着色及其在WiFi信道分配中的应用

Spectrum graph coloring and applications to WiFi channel assignment

David Orden, Jose Manuel Gimenez-Guzman, Ivan Marsa-Maestre, Enrique de la Hoz

摘要:

我们介绍和探索一个家庭的顶点着色问题,令人惊讶的是,没有被考虑之前,尽管源于Wi-Fi信道分配的问题。给定一个颜色的光谱,在每对颜色之间赋予一个干扰矩阵,阈值光谱着色问题确定可用颜色的数量,并旨在最小化干扰阈值,即,顶点处的最大干涉。相反,色谱着色问题确定了一个阈值,并旨在最大限度地减少可能遵守该阈值的颜色数量。作为主要的理论结果,我们证明了每个问题的解的紧上界。由于这两个问题都是NP难的,我们用实验结果完成了这个场景。我们提出了一个DSATUR-based启发式算法,并研究其性能,以尽量减少最大顶点干扰的Wi-Fi信道分配,无论是随机生成的图形和现实世界的情况。此外,对于所有这些图,我们通过实验检查理论界的良好性。

英文摘要:

We introduce and explore a family of vertex-coloring problems which, surprisingly enough, have not been considered before despite stemming from the problem of Wi-Fi channel assignment. Given a spectrum of colors, endowed with a matrix of interferences between each pair of colors, the Threshold Spectrum Coloring problem fixes the number of colors available and aims to minimize the interference threshold, i.e., the maximum of the interferences at the vertices. Conversely, the Chromatic Spectrum Coloring problem fixes a threshold and aims to minimize the number of colors for which respecting that threshold is possible. As main theoretical results, we prove tight upper bounds for the solutions to each problem. Since both problems turn out to be NP-hard, we complete the scene with experimental results. We propose a DSATUR-based heuristic and study its performance to minimize the maximum vertex interference in Wi-Fi channel assignment, both for randomly generated graphs and for a real-world scenario. Further, for all these graphs we experimentally check the goodness of the theoretical bounds.

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