一种高效的协作频谱感知架构
doi: 10.3724/SP.J.1146.2013.00925
A High-efficiency Framework for Cooperative Spectrum Sensing
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摘要: 为了有效利用协作频谱感知中的上传时隙以改善感知性能,该文设计一种新的协作频谱感知(CSS)架构。其核心思想是:当一个次用户上传信息时,后面的次用户继续执行本地感知直至轮到其上传时才停止,该方法合理地将一半的空闲上传时隙用于感知,因而更为高效。同时,该文基于Neyman-Pearson准则,研究了AND准则和OR准则下的最优调度策略问题,并讨论了该架构带来的感知性能增益。仿真结果表明:所提架构可以有效改善协作频谱感知性能,而不带来额外的感知时延。
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关键词:
- 认知无线网络 /
- 协作频谱感知 /
- Neyman-Pearson准则 /
- 能量检测
Abstract: To utilize effectively the reporting slots in Cooperative Spectrum Sensing (CSS) and enhance the sensing performance, a novel CSS framework is designed. The core idea of the proposed framework is that, when a Secondary User (SU) is reporting the sensing results, the following SUs continue local sensing until their turns to report. Since a half of idle reporting slots are appropriately utilized for sensing, the proposed framework behaves more efficiently. Moreover, based on Neyman-Pearson criteria, the optimal schedules for AND rule and OR rule are investigated respectively, followed by the discussions of the sensing performance gains under the proposed framework. Simulation results demonstrate that, the proposed framework enhances the CSS performance considerately without any additional sensing delay. -
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