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Performance analysis of cooperative spectrum monitoring in cognitive radio network

机译:认知无线电网络中协作频谱监测的性能分析

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摘要

The imperfect spectrum monitoring (SM) is a major obstacle to detect the emergence of primary user (PU) quickly during the cognitive users' (CUs') data transmission which results data-loss and introduces the interference at PU. The cooperation in CUs for SM is an effective solution to improve its performance. Therefore, in this paper, a scenario, where CUs can cooperate with each other for SM is presented and have analyzed the effect of cooperation on various performance metrics namely, the data-loss, interference efficiency, and energy efficiency. An algorithm is illustrated for the computation of data-loss under various conditions of the traffic intensity of PU and probability of SM error. Moreover, the closed-form expressions of these metrics are derived for the cooperative and non-cooperative SM. Further, the simulation results are presented for various scenarios of traffic intensity, probability of SM error and channel gain between the CUs' transmitter to PU receiver. Furthermore, the Monte-Carlo simulation results are exploited to consider the random nature of the PUs' traffic intensity as well as to support the numerically simulated results.
机译:不完善的频谱监视(SM)是在认知用户(CU)数据传输期间快速检测主要用户(PU)出现的主要障碍,这会导致数据丢失并在PU上引入干扰。 CU中用于SM的合作是提高其性能的有效解决方案。因此,在本文中,提出了一种CU可以相互协作用于SM的场景,并分析了协作对各种性能指标(即数据丢失,干扰效率和能效)的影响。说明了一种算法,用于计算PU流量强度和SM错误概率的各种条件下的数据丢失。此外,针对合作和非合作SM导出了这些度量的封闭式表达式。此外,针对流量强度,SM错误的可能性以及CU的发送器到PU接收器之间的信道增益的各种场景,给出了仿真结果。此外,利用蒙特卡洛模拟结果来考虑PU流量强度的随机性,并支持数值模拟结果。

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