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首页> 外文期刊>International Journal of Distributed Sensor Networks >Maximizing Throughput with Wireless Spectrum Sensing Network Assisted Cognitive Radios
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Maximizing Throughput with Wireless Spectrum Sensing Network Assisted Cognitive Radios

机译:利用无线频谱感应网络辅助认知无线电最大化吞吐量

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In a cognitive radio network (CRN), secondary users (SUs) utilize primary users (PUs) licensed spectrum in an opportunistic manner. Spectrum sensing is of the utmost importance in CRN to find and use the available spectrum without harmful interference to the PUs. Conventionally, to implement spectrum utilization, SUs are required to sense the primary spectrum first and then transmit data on the available spectrum. In this paper, we propose a dedicated wireless spectrum sensing network (WSSN), eliminating sensing overhead from SUs with the aim of improving achievable throughput. With WSSN assistance, we eliminate sensing time from the SUs frame, hence increasing the transmission time, which maximizes the achievable throughput. Additionally, the sensing duration is increased by deploying a dedicated WSSN, decreasing the probability of false alarm and achieving a targeted high probability of detection. A low probability of false alarm increases the spectrum utilization, improving the achievable throughput, while a high detection probability ensures PUs protection. Moreover, the proposed technique also addresses hidden and exposed terminal problems along with smooth spectrum mobility. Finally, we provide simulation results to demonstrate the proposed techniques, effectiveness. In the results, we have compared the achievable throughput of the proposed scheme with that of conventional CRN.
机译:在认知无线电网络(CRN)中,次要用户(SU)以机会方式利用主要用户(PU)许可的频谱。在CRN中,发现和使用可用频谱而不会对PU产生有害干扰,频谱感测至关重要。按照惯例,为了实现频谱利用,要求SU首先感应主频谱,然后在可用频谱上传输数据。在本文中,我们提出了一种专用的无线频谱传感网络(WSSN),以消除SU的传感开销,从而提高可达到的吞吐量。借助WSSN的帮助,我们消除了SU帧中的检测时间,从而增加了传输时间,从而最大程度地提高了吞吐量。此外,通过部署专用的WSSN,降低虚假警报的概率并实现目标的高检测概率,可以增加检测持续时间。低错误警报概率会提高频谱利用率,提高可实现的吞吐量,而高检测概率会确保PU保护。此外,提出的技术还解决了隐藏和暴露的终端问题以及平滑的频谱迁移率。最后,我们提供了仿真结果以证明所提出的技术,有效性。在结果中,我们将所提方案的可实现吞吐量与常规CRN进行了比较。

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