首页> 外文期刊>International Journal of Electrical and Computer Engineering >Discrete Markov Chain Based Spectrum Sensing for Cognitive Radio
【24h】

Discrete Markov Chain Based Spectrum Sensing for Cognitive Radio

机译:基于离散马尔可夫链的认知无线电频谱感知

获取原文
获取外文期刊封面目录资料

摘要

Spectrum sensing is one of the functionalities of cognitive radios to exploit spectrum holes without interrupting primary users transmission. The more efficient of the spectrum sensing, the highest the throughput of secondary and primary network. This paper presents spectrum sensing method based on phase type modelling that is simple to do for secondary users to conclude about the channel state (idle or busy) under collision constraint. The parameters of phase type model can be adjusted based on desired operating point of the receiver sensor in its ROC curve. The presented approach can run a trade off between sensing time and the two error probabilities of sensor false alarm and miss-detection.
机译:频谱感测是认知无线电在不中断主要用户传输的情况下利用频谱漏洞的功能之一。频谱感测效率越高,辅助网络和主网络的吞吐量就越高。本文提出了一种基于相位类型建模的频谱感知方法,该方法易于让次要用户得出在碰撞约束下的信道状态(空闲或忙碌)的结论。可以根据接收器传感器在其ROC曲线中所需的工作点来调整相位类型模型的参数。所提出的方法可以在感测时间与传感器错误警报和误检测的两个错误概率之间进行权衡。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号