认知无线电中基于感知门限的频谱预测研究

Spectrum Prediction based on Sensing Threshold in Cognitive Radio Networks

频谱感知为未获得频谱授权的次用户提供频谱空穴,并监测主用户以防止对其造成干扰。然而频谱感知会带来时间和能量消耗,采用准确、主动的频谱预测技术可以改善频谱感知过程。文中通过研究感知门限对平均感知时间和频谱利用率的影响,提出了基于感知门限的频谱预测-感知机制,并利用频谱预测结果按照空闲概率从大到小的顺序进行感知。仿真结果表明,文中所提出的机制能够减少感知时间并提高频谱利用率。

Spectrum sensing provides spectrum hole for the secondary users without spectrum authorization and supervises the primary users in avoiding the collision.However,spectrum sensing would result in time and energy consumption,thus precise and initiative spectrum prediction is adopted to improve spectrum sensing process.By exploring the influence of sensing threshold on average spectrum sensing time and spectrum utilization,a spectrum prediction scheme based on sensing threshold is proposed.Then the secondary users sense the channels according to the idle probability and in large-to-small order.Simulation results show that the proposed scheme can reduce spectrum sensing time and increase spectrum utilization.