An Improved Optimal Linear Weighted Cooperative Spectrum Sensing Algorithm for Cognitive Radio Sensor Networks

作者：Wang, Yonghua^*; Li, Yuehong; Yang, Jian; Wan, Pin; Wang, Qinruo

来源：International Journal of Distributed Sensor Networks, 2013, 2013: 951205.

DOI：10.1155/2013/951205

• Better performance
• Constrained nonconvex optimizations
• Optimal weighting vector
• Sensing accuracy
• Sensing performance
• Spectrum detection
• Spectrum sensing
• Weighted-cooperative spectrum sensing

In order to improve the sensing accuracy of the Cognitive Radio Sensor Networks and reduce the interference to the primary user, this paper proposes an improved optimal linear weighted cooperative spectrum sensing scheme on the assumption that the report channel is not ideal. Through mathematical modeling, the spectrum sensing problem is ultimately converted into a constrained nonconvex optimization problem, and the chaotic harmony search (CHS) algorithm is to be used to find the optimal weighting vector value. The simulation results show that the proposed linear cooperative spectrum detection scheme based on the CHS algorithm has better performance than HS, SFLA, EGC, MRC, and MDC algorithm. In addition, the influence of local noise power, report channel noise power, and report channel gain on the performance of the algorithm is analyzed by simulation. The results show that local noise power has greater impact on the sensing performance.

• 出版日期2013
• 单位华南理工大学; 广东工业大学