北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2010, Vol. 33 ›› Issue (5): 112-116.doi: 10.13190/jbupt.201005.112.yinsx

• 研究报告 • 上一篇    下一篇

认知无线电中预测性频谱探测时间的优化

尹斯星 李书芳   

  1. 北京邮电大学 信息与通信工程学院
  • 收稿日期:2009-12-31 修回日期:2010-03-30 出版日期:2010-08-28 发布日期:2010-06-15
  • 通讯作者: 尹斯星 E-mail:yinsixing@sina.com

Predictive Optimization for Spectrum Sensing Time in Cognitive Radio

  • Received:2009-12-31 Revised:2010-03-30 Online:2010-08-28 Published:2010-06-15

摘要:

在具有时隙模式信道的认知无线电(CR)网络中,为使认知用户尽快找到可用信道,基于频率维相关性的预测,提出了一种表征1组信道可用性信息的全新概念,即信道可用性矢量(CAV) ;并将如何使认知用户在最短时间内找到可用信道的问题规划成马尔可夫决策过程(MDP),从而找到根据当前信道可用性矢量的最佳频谱探测策略. 通过在广东省实际测量得到的频谱占用性数据,验证了该方法相比简单的随机频谱探测及顺序频谱探测能使认知用户更快地找到可用信道,不失为低速率业务应用在高占用度频谱中的一种较好解决方案.

关键词: 认知无线电, 频谱探测, 信道可用性矢量, 马尔可夫决策过程

Abstract:

In cognitive radio (CR) networks with slotted channels, a brandnew definition,channel availability vector (CAV), which characterizes the state information of a group of channels, is proposed based on spectralcorrelation prediction in order that the secondary users can find the available channel as rapidly as possible. The problem of sensing time minimization is formulated as a Markov decision process (MDP), and the best sensing strategy for current CAV is figured out. Through real measurement data for spectrum availability that are acquired from Guangdong province, it is verified that, as a satisfactory solution for lowrate services in highcongested spectrum, the predictionbased scheme outperforms the random one and the sequential one to minimize sensing time for secondary users.

Key words: cognitive radio, spectrum sensing, channel availability vector, Markov decision process

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