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Throughput Analysis of the IEEE 802.11 DCF in Cognitive Radio Networks

机译:认知无线电网络中IEEE 802.11 DCF的吞吐量分析

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This paper presents an analysis estimating the saturation throughput of the IEEE 802.11 Distributed Coordination Function (DCF) in Cognitive Radio (CR) networks. Among the many CR network paradigms, the one where existing wireless networks continue to work in the cognitive radio context is attractive and of great importance for CR study and deployment. The performance of the IEEE 802.11 DCF with cognitive radio thus emerges as an important topic. We present an analytical method based on a Markov chain model to estimate the saturation throughput of the IEEE 802.11 DCF with cognitive radio. We also show simulation results validating the presented throughput analysis. Our main contributions are that we propose the abstracted network concept in the context of CR networks and based on this concept we revise an existing Markov chain model to derive the saturation throughput of the IEEE 802.11 DCF in CR networks.
机译:本文介绍了认知无线电(CR)网络中IEEE 802.11分布式协调功能(DCF)的饱和吞吐量的分析。在许多CR网络范式中,现有无线网络在认知无线电环境中继续工作的一个,对CR研究和部署具有很大的重要性。因此,具有认知无线电的IEEE 802.11 DCF的性能成为一个重要的主题。我们提出了一种基于Markov链模型的分析方法,以估计IEEE 802.11 DCF与认知无线电的饱和吞吐量。我们还显示仿真结果验证呈现吞吐量分析。我们的主要贡献是我们在CR网络的背景下提出了抽象的网络概念,并基于这一概念,我们修改了现有的马尔可夫链模型,以导出CR网络中IEEE 802.11 DCF的饱和吞吐量。

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