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认知无线电中基于灰色系统的频谱预测机制研究 被引量:2

Research of spectrum prediction mechanism based on gray-model in cognitive radio
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摘要 由于认知无线电网络中的频谱是动态变化的,这就使得次用户必须频繁地进行退避,这不仅会在短时间内对主用户造成干扰,而且会影响次用户的QoS。提出了基于灰色系统的预测机制可提高频谱分配的效率减少次用户切换次数。仿真结果证明了认知用户的服务质量即切换次数有显著改善。 For the dynamical of spectrum in cognitive radio network,second users must be resignation frequently. This will interference the primary user's transmission and influence the second user's quality of services( QoS). The article contributed a prediction mechanism based on graymodel to improve the frequency distribution efficiency and reduce the number of second user's spectrum switch. The simulate shows that improved the effective guarantee of CR user's QoS.
出处 《计算机应用研究》 CSCD 北大核心 2010年第12期4726-4728,4731,共4页 Application Research of Computers
基金 重庆市教育委员会科学技术研究基金资助项目(KJ090502)
关键词 认知无线电 灰色模型 预测机制 服务质量 CR gray-model prediction mechanism QoS
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参考文献17

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