感知时间等比缩减的机会频谱接入算法研究

Study of Opportunistic Spectrum Access Algorithm Based Sensing Time Geometric Proportion Reduced

以认知无线电(Cognitive Radio,CR)技术为基础,以电视频谱资源研究为实例提出了一种基于感知时间等比缩减的机会频谱接入算法(SGPR)。该算法与其他固定感知时间长度算法比较,相对缩减了频谱感知时间,增加了系统传输时间,从而提高了认知网络系统的吞吐量,仿真验证了该算法的有效性。

In this paper, an algorithm of Opportunistic Spectrum Access （OSA） is proposed, which is based on Sensing Geometric Proportion Reduced （SGPR）. The television spectrum resource is studied as an example. In the new algorithm, transmission time has increases while sensing time is compressed, so the throughput of cognitive radio network is improved. Simulations proves the availability of the algorithm