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Throughput and Delay in Heterogeneous Cognitive Radio Networks with Cooperative Secondary Users

机译:具有合作二级用户的异构认知无线电网络的吞吐量和延迟

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In this paper, we investigate the throughput and delay in heterogeneous cognitive radio networks (HCRN), where the data source and the destination (S-D) is heterogeneously distributed following a rank based model and secondary users (SUs) provide relay service for primary users (PUs). We consider two scenarios: 1) PUs and SUs are both static; and 2) PUs are static and SUs are mobile. For scenario 1, we show that the primary network throughput is the same for different heterogeneous extents of S-D distribution owing to the flexible assistance of SUs, while the throughput of secondary networks is proven to be changing with the S-D heterogeneity exponent , which depicts the variation of different heterogeneous extents of S-D distribution. In addition, the delay of both primary and secondary networks are shown to be altering with . Further, we reveal that the number of SUs required to assist PUs can be dramatically reduced when considering the S-D heterogeneity, while achieving the same primary network throughput. For scenario 2, we utilize a modified uniform mobility (MUM) model to depict the motion of SUs and mainly focus on the analysis of throughput and delay for primary networks. It shows that the primary network throughput is also free of the heterogeneous extent of S-D distribution, while the delay changes with . Due to the mobility of SUs, a better delay-throughput tradeoff of primary networks is achieved compared with that in scenario 1.
机译:在本文中,我们研究了异构认知无线电网络(HCRN)的吞吐量和时延,其中数据源和目的地(SD)遵循基于秩的模型进行异构分布,而次用户(SU)为主要用户提供中继服务(脓)。我们考虑两种情况:1)PU和SU都是静态的; 2)PU是静态的,SU是移动的。对于方案1,我们表明,由于SU的灵活协助,不同异构程度的SD分布的主要网络吞吐量是相同的,而辅助网络的吞吐量却随着SD异构性指数的变化而变化,这表明了这种变化。 SD分布的不同异构程度的差异。此外,主要网络和次要网络的延迟都显示为随改变。此外,我们发现,考虑到S-D异构性,同时实现相同的主网络吞吐量,可以大大减少辅助PU所需的SU数量。对于方案2,我们利用改进的统一移动性(MUM)模型来描述SU的运动,并且主要集中于分析主网络的吞吐量和延迟。它表明,主网络吞吐量也没有S-D分布的异构范围,而延迟随改变。由于SU的移动性,与方案1相比,可以实现主网络更好的延迟吞吐量权衡。

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