dynamic dual threshold cooperative spectrum sensing for cognitive radio under noise power uncertainty
| 作者： | , , , , |
| 作者单位： | 1school of computer science, wuhan university
2hubei co-innovation center of information technology service for elementary education, hubei university of education
3department of mathematics and computer science, northeastern state university
4college of computer science, south-central university for nationalities
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| 刊名： | human-centric computing and information sciences, 2019, vol.9 (1), pp.1-21 |
| 来源数据库： | springer journal |
| doi： | |
| 关键词： | ; ; ; ; |
| 英文摘要： | abstract(#br)the spectrum sensing performance depends on the accuracy of the detection about whether primary users are busy or idle. previous studies on cognitive radio spectrum sensing have shown that the cooperation between secondary users can improve their spectrum detection performance in real cognitive networks. aiming at the problem of threshold mismatch of energy detectors under noise power uncertainty, a cooperative spectrum sensing method with dynamic dual threshold is proposed. firstly, the utility function is defined with the objective of minimizing the error probability of spectrum sensing, and the optimum threshold of energy detector is derived. secondly, in order to mitigate the influence derived from noise uncertainty, an effective dynamic dual threshold adjustment... |
