单天线认知无线电中的协作频谱感知和无线能量传输
DOI:
作者:
作者单位:

中国电子科技集团公司第五十四研究所

作者简介:

通讯作者:

中图分类号:

TN935

基金项目:


Simultaneous Cooperative Spectrum Sensing and Wireless Power Transferin Single-antenna Cognitive Radio
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在单天线认知无线电中,可以通过天线协作频谱检测来提高检测衰落信道中主用户(Primary User,PU)存在的传感性能。然而,由于协作频谱检测,认知无线电(Cognitive Radio,CR)可能消耗更多的存储能量,从而降低其传输性能。为了保证其传输性能,提出了一种同步协作频谱检测和无线功率传输的方案,该方案可以收集PU信号的射频(Radio Frequency,RF)能量,以提供频谱检测消耗的能量。提出了时间分流模型、实现了协作频谱检测,能量收集和数据传输的同步。制定了适用于该方案的优化问题,以最大化同步协作频谱检测和无线功率传输模型中认知无线电的频谱效率,分别受限于检测的概率和收集的能量。最后通过计算得到的最佳分配因子,以实现了频谱效率的最大值,并通过仿真得出了结论。

    Abstract:

    In single-antenna cognitive radio, the sensing performance of the primary user (PU) in the fading channel can be improved by antenna cooperative spectrum detection. However, due to simultaneous cooperative spectrum sensing, CR may consume more storage energy, thereby reducing its transmission performance. In this paper, in order to ensure its transmission performance, a scheme of synchronous simultaneous cooperative spectrum sensing and wireless power transmission is proposed, which can harvest radio frequency (RF) energy of PU signals to provide energy consumed by spectrum detection. A time-division model is proposed to achieve collaborative spectrum detection, energy harvesting and data transmission synchronization. Optimization problems applicable to the scheme were developed to maximize the spectral efficiency of cognitive radio in the synchronous simultaneous cooperative spectrum sensing and wireless power transmission models, limited by the probability of detection and the energy collected. Finally, the optimal distribution factor is calculated to achieve the maximum spectral efficiency, and the conclusion is drawn through simulation.

    参考文献
    相似文献
    引证文献
引用本文

吕玉静,宋志群,刘玉涛.单天线认知无线电中的协作频谱感知和无线能量传输计算机测量与控制[J].,2019,27(11):193-196.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-08-13
  • 最后修改日期:2019-08-27
  • 录用日期:2019-08-27
  • 在线发布日期: 2019-11-18
  • 出版日期:
文章二维码