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Approximation Algorithms for Maximum Weight Independent Set of Links Under the SINR Model

机译:SINR模型下最大权重独立链接集的近似算法

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摘要

We study the following optimization problem in a plane multihop wireless network under the physical interference model. Given a multi-hop wireless network and a positive link weight (or demand) function, select a set of independent links whose total weight is maximized. This problem is known to be NP-hard. The best known approximation algorithms for this problem achieved logarithmic-factor approximation bounds with cither the uniform power assignment or the power control setting. In this paper, we present two approximation algorithms for the problem with pre-specified power assignments. The first algorithm uses the oblivious power assignment and achieves constant approximation bound under certain mild assumptions. The second algorithm achieves constant approximation bound when the link weight-to-length ratio is bounded. Moreover, our constant approximation bounds are valid regardless of the value of the noise power.
机译:在物理干扰模型下,我们研究了平面多跳无线网络中的以下优化问题。给定多跳无线网络和正的链路权重(或需求)功能,请选择一组总权重最大的独立链路。已知此问题是NP难题。这个问题的最著名的近似算法通过均匀的功率分配或功率控制设置达到对数因子的近似范围。在本文中,我们针对预定功率分配问题提出了两种近似算法。第一种算法使用遗忘的功率分配,并在某些温和的假设下获得恒定的近似边界。当链接权重长度比有界时,第二种算法实现恒定的近似界。此外,我们的恒定近似边界是有效的,与噪声功率的值无关。

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