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Cooperative Spectrum Sensing in Cognitive Radios Using Perceptron Learning for IEEE 802.22 WRAN

机译:使用感知器学习的IEEE 802.22 WRAN认知无线电中的协作频谱感知

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摘要

The primary objective of IEEE 802.22 standard is to determine vacant spectrum bands available in Digital Television channel (DTV) and to utilize them for wireless rural broadband connectivity. Cognitive Radio aims at maximizing the utilization of the limited radio bandwidth while accommodating the increasing number of services and applications in Wireless networks. For cognitive radio networks to operate efficiently, Secondary Users (SU) should be able to exploit radio spectrum that is unused by the primary user. A critical component of cognitive radio is thus spectrum sensing. The secondary user should sense the spectrum efficiently, utilize the opportunities for transmission, and vacate the channel once primary user reoccupies it. In this paper, we propose approaches for cooperative spectrum sensing as per the IEEE 802.22 standard. This paper describes several simulation scenarios that can be used to evaluate spectrum sensing by single SU unit (local sensing) and multiple SUs in a cooperative setup. The detection accuracy and performance of the proposed algorithms are described using performance metrics called probability of detection and probability of false-alarm through extensive simulations using Matlab.
机译:IEEE 802.22标准的主要目标是确定数字电视频道(DTV)中可用的空闲频段,并将其用于无线农村宽带连接。认知无线电旨在最大程度地利用有限的无线电带宽,同时适应无线网络中越来越多的服务和应用。为了使认知无线电网络有效运行,次要用户(SU)应该能够利用主要用户未使用的无线电频谱。因此,认知无线电的关键组件是频谱感测。次要用户应有效地感知频谱,利用传输机会,并在主要用户重新使用该信道后腾出该信道。在本文中,我们根据IEEE 802.22标准提出了用于协作频谱感测的方法。本文介绍了几种仿真方案,这些方案可用于在协作设置中评估单个SU单元(本地感测)和多个SU的频谱感测。通过使用Matlab进行广泛的仿真,使用性能度量(称为检测概率和虚警概率)描述了所提出算法的检测精度和性能。

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