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Implementation of an opportunistic spectrum access system with disruption QoS provisioning and PU traffic parameter estimation

机译:利用中断QoS设置和PU流量参数估计实现机会频谱接入系统

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Opportunistic Spectrum Access (OSA) is one of the models proposed in the literature for Dynamic Spectrum Access (DSA). Providing disruption QoS in terms of interference caused to the Primary Users (PUs) is crucial in such systems. In this paper, we use a residual idle time based scheme called RIBS, to provide disruption QoS to the PUs. The transmission duration of a Secondary User (SU) is carefully computed such that the interference to the PU remains below a threshold. We propose two disruption Quality of Service (QoS) metrics and show the computation of maximum transmission duration for the two metrics. We have implemented RIBS with these two new disruption QoS metrics using GNU Radio over Universal Software Radio Peripheral (USRP) hardware. We also use maximum likelihood estimation (MLE) to dynamically estimate the parameter of PU traffic, which is then used to compute SU transmission duration. This eliminates the requirement, widely assumed in the literature, that SUs know the PU traffic characteristics a priori. Results from our experiments show that RIBS is able to provide the required QoS and that the MLE based parameter estimation method works reasonably well.
机译:机会频谱访问(OSA)是文献中针对动态频谱访问(DSA)提出的模型之一。在此类系统中,根据对主要用户(PU)造成的干扰来提供中断QoS至关重要。在本文中,我们使用基于剩余空闲时间的称为RIBS的方案为PU提供中断QoS。认真计算辅助用户(SU)的传输持续时间,以使对PU的干扰保持在阈值以下。我们提出了两个中断服务质量(QoS)指标,并显示了这两个指标的最大传输持续时间的计算。我们已经使用通用软件无线电外围设备(USRP)硬件上的GNU无线电,通过这两个新的中断QoS指标实施了RIBS。我们还使用最大似然估计(MLE)来动态估计PU流量的参数,然后将其用于计算SU传输持续时间。这消除了在文献中广泛假设的要求,即SU必须先验地了解PU流量特性。我们的实验结果表明,RIBS能够提供所需的QoS,并且基于MLE的参数估计方法相当有效。

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