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Markov Model Based Jamming and Anti-Jamming Performance Analysis for Cognitive Radio Networks

机译:基于马尔可夫模型的认知无线电网络干扰和抗干扰性能分析

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In this paper, we conduct a cross-layer analysis of both the jamming capability of the cognitiveradio-based jammers and the anti-jamming capability of the cognitive radio networks (CRN). We use a Markov chain to model the CRN operations in spectrum sensing, channel access and channel switching under jamming. With various jamming models, the jamming probabilities and the throughputs of the CRN are obtained in closed-form expressions. Furthermore, the models and expressions are simplified to determine the minimum and the maximum CRN throughput expressions under jamming, and to optimize important anti-jamming parameters. The results are helpful for the optimal anti-jamming CRN design. The model and the analysis results are verified by simulations.
机译:在本文中,我们对基于认知无线电的干扰器的干扰能力和认知无线电网络(CRN)的抗干扰能力进行了跨层分析。我们使用马尔可夫链对干扰下的频谱感知,信道访问和信道切换中的CRN操作进行建模。使用各种干扰模型,可以在闭式表达式中获得CRN的干扰概率和吞吐量。此外,简化了模型和表达式,以确定干扰下的最小和最大CRN吞吐量表达式,并优化了重要的抗干扰参数。结果有助于优化抗干扰CRN设计。通过仿真验证了模型和分析结果。

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