Research Article
New Half-Voting Cooperative Sensing Algorithms in Cognitive Radio
@INPROCEEDINGS{10.1007/978-3-642-30493-4_24, author={Haijun Wang and Yi Xu and Xin Su and Jie Zeng and Jing Wang}, title={New Half-Voting Cooperative Sensing Algorithms in Cognitive Radio}, proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers}, proceedings_a={WICON}, year={2012}, month={10}, keywords={cognitive radio energy spectrum sensing hard fusion half-voting linear data fusion}, doi={10.1007/978-3-642-30493-4_24} }- Haijun Wang
Yi Xu
Xin Su
Jie Zeng
Jing Wang
Year: 2012
New Half-Voting Cooperative Sensing Algorithms in Cognitive Radio
WICON
Springer
DOI: 10.1007/978-3-642-30493-4_24
Abstract
In cognitive radio (CR) networks, hard fusion is widely applied for cooperative energy spectrum sensing, since it requires only one bit to transmit the decision results between sensing nodes and the sensing station. And half-voting is an effective algorithm in hard fusion. In this paper, two half-voting algorithms are proposed to enhance the sensing performance. In the first half-voting algorithm, we adopt linear data fusion with weights based on the SNR of each sensing node. In another algorithm, when the sensing station has no knowledge of each sensing node’s SNR, the history decisions are utilized to estimate the weight factors. Analyses and numerical results show that the proposed new half-voting algorithms can significantly improve the sensing performance.