Random Periodic Spectrum Sensing with Sensing Period Optimization for Cognitive Radio Networks

摘要：

A random periodic spectrum sensing scheme is proposed for cognitive radio networks. The sensing period is extended to a general form as a random variable. A generalized Markov analytical model for sensing period optimization is presented, and the optimal sensing period to maximum rewards generated by the channel is derived. Numerical examples show that sensing period does affect the maximum rewards of the channel, and the analytical model is justified by its analytical flexibility since it uses a general sensing period and hence the model can be easily adapted for the analysis of many different applications.

关键词： cognitive radio networks random periodic spectrum sensing generalized Markov process optimal sensing period

作者: Caili Guo Zhiming Zeng Chunyan Feng Qi Liu

作者单位: School of Information and Communication Engineering,Beijing University of Posts and Telecommunications Beijing,China

会议类型: 国际会议

会议名称: The 11th IEEE International Conference on Communications Systems(第11届电子和电气工程师协会国际通信系统会议)(IEEE ICCS 2008)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-11-19（万方平台首次上网日期，不代表论文的发表时间）