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Spectrum monitoring in heterogeneous cognitive radio network: How to cooperate?

机译:异构认知无线电网络中的频谱监测:如何合作?

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摘要

The spectrum-monitoring is a prominent technique to detect the reappearance of the primary user (PU) during the cognitive users' (CUs) data transmission. However, the imperfect spectrum monitoring (SM) causes a delay in the identification of PU that introduces interference at PU as well as data-loss. The cooperation among CUs for SM is a proficient solution to diminish these impairments of imperfection. Thus, in this study, a scenario of the heterogeneous cognitive radio network (CRN) is presented in which the CUs perform cooperation among them for SM and have analysed the impact of cooperation on several performance metrics such as the data-loss, interference efficiency and energy efficiency. An algorithm is presented for the evaluation of data-loss for different circumstances of the traffic intensity of PU and probability of SM error in the proposed heterogeneous CRN. In addition to this, the closed-form expressions for the cooperative and non-cooperative SM of these metrics are derived. Furthermore, the simulation results are illustrated for different state-of-affairs of the probability of SM error and traffic intensity.
机译:频谱监视是一种主要技术,用于在认知用户(CU)数据传输期间检测主要用户(PU)的重新出现。但是,不完善的频谱监视(SM)导致PU识别的延迟,从而在PU上引入干扰以及数据丢失。 CU在SM之间的合作是减少这些缺陷缺陷的有效解决方案。因此,在本研究中,提出了一种异构认知无线电网络(CRN)的场景,其中CU在SM之间执行协作,并分析了协作对诸如数据丢失,干扰效率和能源效率。提出了一种算法,用于评估异构CRN中PU业务强度和SM错误概率的不同情况下的数据丢失。除此之外,还导出了这些指标的合作和非合作SM的闭式表达式。此外,针对SM错误概率和交通强度的不同事态说明了仿真结果。

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