Stochastic Channel Prioritization for Spectrum Sensing in Cooperative Cognitive Radio

2009 6th IEEE Consumer Communications and Networking Conference Pub Date : 2009-01-11 DOI:10.1109/CCNC.2009.4784893

Xiaoyu Wang, A. Wong, P. Ho

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引用次数: 8

Abstract

In this paper, a novel cooperative stochastic channel prioritization algorithm is presented for the purpose of improving spectrum sensing efficiency in cooperative cognitive radio systems. The proposed algorithm achieves the goal by prioritizing the channels for fine sensing based on both local statistics obtained by the cognitive radio as well as long-term spatiotemporal statistics obtained from other cognitive radios. Channel priority is determined in a stochastic manner by performing statistical fusion on the local statistics and statistics from neighboring cognitive radios to obtain a biasing density from which stochastic sampling can be used to identify the likelihood of channel availability. Therefore, the individual cognitive radios collaborate to improve the likelihood of each cognitive radio in obtaining available channels. Simulation results show that the proposed cooperative stochastic channel prioritization algorithm can be used to reduce both sensing overhead and percentage of missed opportunities when implemented in a complimentary manner with existing cooperative cognitive radio systems.

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协同认知无线电频谱感知的随机信道优先排序

为了提高协作认知无线电系统的频谱感知效率，提出了一种新的协作随机信道优先排序算法。该算法基于认知无线电获得的局部统计信息和其他认知无线电获得的长期时空统计信息，对精细感知信道进行优先级排序，从而实现了这一目标。信道优先级以随机方式确定，通过对本地统计数据和来自相邻认知无线电的统计数据进行统计融合，从而获得一个偏置密度，从中可以使用随机抽样来识别信道可用的可能性。因此，个体认知无线电协作以提高每个认知无线电获得可用信道的可能性。仿真结果表明，所提出的协作式随机信道优先排序算法与现有的协作式认知无线电系统互补实现时，可以减少感知开销和错失机会的百分比。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2009 6th IEEE Consumer Communications and Networking Conference

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