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Effect of access probabilities on the delay performance of Q-CSMA algorithms

机译:访问概率对Q-CSMA算法延迟性能的影响

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It has been recently shown that queue-based CSMA algorithms can be throughput optimal. In these algorithms, each link of the wireless network has two parameters: a transmission probability and an access probability. The transmission probability of each link is chosen as an appropriate function of its queue-length, however, the access probabilities are simply regarded as some random numbers since they do not play any role in establishing the network stability. In this paper, we show that the access probabilities control the mixing time of the CSMA Markov chain and, as a result, affect the delay performance of the CSMA. In particular, we derive formulas that relate the mixing time to access probabilities and use these to develop the following guideline for choosing access probabilities: each link i should choose its access probability equal to 1=(di + 1), where di is the number of links which interfere with link i. Simulation results show that this choice of access probabilities results in good delay performance.
机译:最近显示,基于队列的CSMA算法可能是吞吐量最佳的。在这些算法中,无线网络的每个链路具有两个参数:传输概率和访问概率。选择每个链路的传输概率作为其队列长度的适当函数,但是,将访问概率简单地视为一些随机数,因为它们对建立网络稳定性没有任何作用。在本文中,我们表明访问概率控制着CSMA Markov链的混合时间,从而影响CSMA的延迟性能。特别是,我们导出了将混合时间与访问概率相关联的公式,并使用这些公式来制定以下准则来选择访问概率:每个链接i都应选择等于1 =(di + 1)的访问概率,其中di是数字干扰链接i的链接的数量。仿真结果表明,这种访问概率的选择可带来良好的延迟性能。

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