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A Simple Pseudo-Bayesian Backoff Algorithm for Unsaturated Slotted CSMA Systems

机译:不饱和缝隙CSMA系统的一种简单的伪贝叶斯退避算法

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In unsaturated slotted carrier sense multiple access (CSMA) systems, the queue states of the stations (STNs) in uplink vary over time in general. This phenomenon is the main difficulty that complicates the efficient system operation. In this paper, we propose an estimation algorithm to estimate the backlog size, i.e., the number of STNs who have packets to transmit in each slot. Then, based on the estimation, the transmission probability is controlled to maximize the system throughput. One key feature of the proposed algorithm is that it only applies the information about the idle and busy channel slots to estimate the backlog size. Through extensive computer simulations, we show that the proposed algorithm achieves near- optimal system performance in term of mean and variance of queuing delay.
机译:在不饱和时隙载波侦听多路访问(CSMA)系统中,上行链路中站(STN)的队列状态通常随时间变化。这种现象是使有效的系统操作复杂化的主要困难。在本文中,我们提出了一种估计算法来估计积压量,即每个时隙中有要发送数据包的STN的数量。然后,基于该估计,控制传输概率以最大化系统吞吐量。所提出算法的一个关键特征是它仅应用有关空闲和繁忙信道时隙的信息来估计积压量。通过广泛的计算机仿真,我们证明了该算法在排队延迟的均值和方差方面达到了近乎最佳的系统性能。

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