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On the Performance Analysis of Underlay Cognitive Radio Systems: A Deployment Perspective

机译:底层认知无线电系统的性能分析:部署视角

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We study the performance of a cognitive underlay system (US) that employs a power control mechanism at the secondary transmitter (ST) from a deployment perspective. Existing baseline models considered for performance analysis either assume the knowledge of involved channels at the ST or retrieve this information by means of a band manager or a feedback channel; however, such situations rarely exist in practice. Motivated by this fact, we propose a novel approach that incorporates estimation of the involved channels at the ST in order to characterize the performance of the US in terms of interference power received at the primary receiver and throughput at the secondary receiver (or secondary throughput). Moreover, we apply an outage constraint that captures the impact of imperfect channel knowledge, particularly on the uncertain interference. Besides this, we employ a transmit power constraint at the ST to classify the operation of the US in terms of an interference-limited regime and a power-limited regime. In addition, we characterize the expressions of the uncertain interference and the secondary throughput for the case where the involved channels encounter Nakagami-m fading. Finally, we investigate a fundamental tradeoff between the estimation time and the secondary throughput depicting an optimized performance of the US.
机译:我们从部署的角度研究了认知底层系统(US)的性能,该系统在次级发射器(ST)处采用了功率控制机制。考虑用于性能分析的现有基线模型要么在ST假设了有关信道的知识,要么通过频段管理器或反馈信道检索了此信息;但是,这种情况在实践中很少存在。基于这一事实,我们提出了一种新颖的方法,该方法结合了ST处相关信道的估计,以便根据主要接收器接收的干扰功率和辅助接收器的吞吐量(或辅助吞吐量)来表征美国的性能。 。此外,我们应用中断约束来捕获不完善的信道知识的影响,尤其是对不确定干扰的影响。除此之外,我们在ST处采用发射功率约束,以根据干扰限制制度和功率限制制度对美国的运营进行分类。此外,我们对涉及信道遇到中上米衰落情况下的不确定干扰和二次吞吐量的表达进行了表征。最后,我们研究了估计时间与次级吞吐量之间的基本权衡,后者描述了美国的最佳性能。

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