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Nearly optimal bounds for distributed wireless scheduling in the SINR model

机译:SINR模型中的分布式无线调度的接近最佳范围

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We study the wireless scheduling problem in the SINR model. More specifically, given a set of links, each a sender-receiver pair, we wish to partition (or schedule) the links into the minimum number of slots, each satisfying interference constraints allowing simultaneous transmission. In the basic problem, all senders transmit with the same uniform power. We analyze a randomized distributed scheduling algorithm proposed by Kesselheim and Vocking, and show that it achieves -approximation, an improvement of a logarithmic factor. This matches the best ratio known for centralized algorithms and holds in arbitrary metric space and for every length-monotone and sublinear power assignment. We also show that every distributed algorithm uses slots to schedule certain instances that require only two slots, which implies that the best possible absolute performance guarantee is logarithmic.
机译:我们研究了SINR模型中的无线调度问题。更具体地,给定一组链路,每个成对的发送方-接收方,我们希望将链路划分(或调度)为最小数量的时隙,每个时隙都满足干扰约束,从而允许同时传输。在基本问题中,所有发送方都以相同的统一功率进行传输。我们分析了Kesselheim和Vocking提出的随机分布式调度算法,并证明该算法可以实现-逼近,这是对数因子的改进。这与集中式算法已知的最佳比率相匹配,并适用于任意度量空间以及每个长度单调和亚线性功率分配。我们还表明,每种分布式算法都使用时隙来调度仅需要两个时隙的某些实例,这意味着最好的绝对性能保证是对数的。

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