Research Article
Weighted-Collaborative Spectrum Sensing in Cognitive Radio
@INPROCEEDINGS{10.1109/CHINACOM.2007.4469340, author={Xiaoge Huang and Ning Han and Guanbo Zheng and Sunghwan Sohn and Jaemoung Kim}, title={Weighted-Collaborative Spectrum Sensing in Cognitive Radio}, proceedings={2nd International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2008}, month={3}, keywords={Additive white noise Analytical models Cognitive radio Collaboration FCC Fading Frequency Rayleigh channels Shadow mapping Working environment noise}, doi={10.1109/CHINACOM.2007.4469340} }- Xiaoge Huang
Ning Han
Guanbo Zheng
Sunghwan Sohn
Jaemoung Kim
Year: 2008
Weighted-Collaborative Spectrum Sensing in Cognitive Radio
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2007.4469340
Abstract
Cognitive Radio is an advanced enabling technology for efficient utilization of under-utilized spectrum since it is able to sense the spectrum and use the frequency when the primary users are absent. Recent investigation suggests that spectrum sensing is compromised when a user experiences fading or shadowing. In order to combat such effects, collaborative sensing is presented. However, the conventional collaborative sensing is not effective when users suffer from different fading environments. In this paper, we propose a weighted-collaborative scheme to improve the spectrum sensing performance under fading environment. The analysis of the simulation results proves that the weighted-collaborative scheme improves sensing performance obviously.