A spectrum hole detection mechanism in cognitive radio networks applied in typical scenarios

A novel spectrum hole detection mechanism is proposed to improve the detection probability in cognitive radio networks for several typical scenarios. By removing the influence of the spatial false alarm （SFA）, the spectrum hole detection probability of the secondary user under path loss and multi-path fading is derived. Meanwhile, the spectrum hole detection probability of multi-users cooperative sensing and that of single-user sensing in multi-bands are derived for comparison. Theoretical analyses and simulation results show that the spectrum hole detection probability of the proposed mechanism is inversely proportional to the sampling times and the area of the sensing region. The detection performance of the multi-users sensing is better than that of single-user sensing when with the AND ~ogic fusion rule but worse when with the OR logic fusion rule. The detection probability is further decreased in the Rayleigh fading channel but it is greatly increased in multi-bands.

基于粘性隐马尔可夫模型的协同频谱感知算法

为解决在频谱异构场景下传统频谱感知算法较易产生大量的空间虚警的问题,`本文提出了一种基于粘性隐马尔可夫模型的协同频谱感知算法。该算法利用次级用户的感知数据在时域和空域两方面的相关性来提高感知性能。经仿真验证可知,所提算法不仅可以有效解决传统频谱感知算法存在的空间虚警问题,而且具有较高的检测性能。