期刊文献+

认知无线电网络高能效协作频谱感知技术 被引量:14

Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks
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摘要 提出了一种协作频谱感知方式.通过对本地观测向量和预设门限的比较,认知用户可以根据本地感知的可靠性决定是否向基站发送本地判决结果.在不同控制信道条件下,采用计数准则和Neyman-Pearson准则对所提出的协作频谱感知方式进行了感知性能研究.理论分析和仿真结果表明,这种协作频谱感知方式在保证检测性能的基础上,有效减少了协作通信开销,提升了感知能效. A new cooperative spectrum sensing scheme is proposed to reduce the cooperation overhead. After comparing the local observation with the threshold,the user could decide,whether or not,to transmit local decision to the base station. Two fusion rules,counting rule and Neyman-Pearson rule,are investigated for the proposed sensing scheme. Analysis and simulation show that the proposed scheme guarantees sensing reliability without any performance loss and reduces the communication overhead significantly to achieve high energy efficiency in sensing cooperation.
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2010年第4期93-96,共4页 Journal of Beijing University of Posts and Telecommunications
基金 国家重点基础研究发展计划项目(2009CB320400) Nokia大学合作项目
关键词 认知无线电网络 协作频谱感知 计数准则 NEYMAN-PEARSON准则 cognitive radio network cooperative spectrum sensing counting rule Neyman-Pearson rule
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参考文献7

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同被引文献47

  • 1梁红玉,陈宏滨,赵峰.认知无线电协作频谱感知技术综述[J].广西通信技术,2011(2):38-44. 被引量:12
  • 2杨露菁,邹岗,李启元.多传感器分布式融合检测自适应算法[J].探测与控制学报,2006,28(5):28-30. 被引量:1
  • 3王尚斌,赵俊渭,李金明,孙勇.分布式贝叶斯数据融合系统的遗传算法优化[J].计算机仿真,2007,24(4):183-185. 被引量:2
  • 4LEON REZNIK, GREGORY VON PLESS, TAYEB AL KARIM. Distributed Neural Networks for Signal Change Detection: On the Way to Cognition in Sensor Networks [J]. IEEE Sensors Journal,2011,11(3) :791-798.
  • 5WILLIAM A LINTZ,JOHN C MCEACHEN. A Method for Emphasizing Signal Detection in Wireless Sensor Network Radio Frequency Array Operation [ C ]. Proceedings of the 42nd Hawaii International Conference on System Sci- ences, 2009.
  • 6WENDI RABINER HEINZELMAN, ANANTHA CHAN- DRAKASAN, HARI BALAKRISHNAN. Energy-Efficient Communication Protocol for Wireless Microsensor Net- works[ C]. Proceedings of 33rd Hawaii International Con- ference on System Sciences,2000.
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