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A fast-CSMA based distributed scheduling algorithm under SINR model

机译:SINR模型下基于快速CSMA的分布式调度算法

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There has been substantial interest over the last decade in developing low complexity decentralized scheduling algorithms in wireless networks. In this context, the queue-length based Carrier Sense Multiple Access (CSMA) scheduling algorithms have attracted significant attention because of their attractive throughput guarantees. However, the CSMA results rely on the mixing of the underlying Markov chain and their performance under fading channel states is unknown. In this work, we formulate a partially decentralized randomized scheduling algorithm for a two transmitter receiver pair set up and investigate its stability properties. Our work is based on the Fast-CSMA (FCSMA) algorithm first developed in [1] and we extend its results to a signal to interference noise ratio (SINR) based interference model in which one or more transmitters can transmit simultaneously while causing interference to the other. In order to improve the performance of the system, we split the traffic arriving at the transmitter into schedule based queues and combine it with the FCSMA based scheduling algorithm. We theoretically examine the performance of our algorithm in both non-fading and fading environment and characterize the set of arrival rates which can be stabilized by our proposed algorithm.
机译:在过去的十年中,在无线网络中开发低复杂度的分散调度算法引起了极大的兴趣。在这种情况下,基于队列长度的载波侦听多路访问(CSMA)调度算法由于具有有吸引力的吞吐量保证而备受关注。但是,CSMA结果依赖于基础马尔可夫链的混合,并且在衰落信道状态下其性能仍然未知。在这项工作中,我们为两个发射器接收器对制定了部分分散的随机调度算法,并研究了其稳定性。我们的工作基于[1]中首先开发的Fast-CSMA(FCSMA)算法,我们将其结果扩展到基于信噪比(SINR)的干扰模型,在该模型中,一个或多个发射机可以同时发射信号,同时对另一个。为了提高系统性能,我们将到达发射机的流量分成基于调度的队列,并将其与基于FCSMA的调度算法结合起来。我们在理论上检查了我们的算法在非衰落和衰落环境下的性能,并描述了可以通过我们提出的算法稳定的到达率集。

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