An adaptive spectrum sensing architecture for dynamic spectrum access networks

An adaptive spectrum sensing architecture for dynamic spectrum access networks
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DOI:
10.1109/twc.2009.080989
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发表时间:
2009-08
影响因子:
10.4
通讯作者:
Dinesh Datla;R. Rajbanshi;A. Wyglinski;G. Minden
Dinesh Datla;R. Rajbanshi;A. Wyglinski;G. Minden
中科院分区:
计算机科学1区
文献类型:
--
作者:
Dinesh Datla;R. Rajbanshi;A. Wyglinski;G. Minden

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动态频谱接入网络预计将以对现有许可频谱用户透明的方式运行。传统的非自适应宽带频谱感测方法可能效率低下,因为它们采用相同的扫描分辨率来跟踪信号,即使不同的信号需要具有不同感测参数的频谱扫描。在本文中,我们提出了一种自适应频谱感知框架,该框架根据感兴趣的频谱特征改变其参数。此外,我们提出了一种用于频谱感知的动态调度算法,该算法可以以保守和非保守的方式实现。该算法使用退避机制将不同的时间分辨率分配给频谱的多个部分。所提出的算法已用于执行认知无线电的“先听后说”功能,并且在相对于非自适应方法的感测效率、二次频谱利用率和干扰率方面的改进方面获得了性能结果。
Dynamic spectrum access networks are expected to operate in a manner that is transparent to the incumbent licensed spectrum users. Conventional non-adaptive wideband spectrum sensing approaches could potentially be inefficient since they employ the same scanning resolution to track signals, even though different signals require spectrum scans with different sensing parameters. In this paper, we present an adaptive spectrum sensing framework that varies its parameters according to the characteristics of the spectrum of interest. Furthermore, we propose a dynamic scheduling algorithm for spectrum sensing that can be implemented in both a conservative and non-conservative manner. This algorithm allocates different time resolutions to several portions of spectrum using a backoff mechanism. The proposed algorithm has been employed to perform the 'listenbefore- talk' function of a cognitive radio, and performance results have been obtained with respect to the improvement in the sensing efficiency over a non-adaptive approach, secondary spectrum utilization, and interference rate.