Dynamic Double Energy Thresholds Detection for Cooperative Spectrum Sensing in Cognitive Radio

Tangsen Huang; Peng liu; Ji-chen Yang

Dynamic Double Energy Thresholds Detection for Cooperative Spectrum Sensing in Cognitive Radio

원문정보

보안공학연구지원센터(IJFGCN) International Journal of Future Generation Communication and Networking Vol.7 No.3 2014.06 pp.173-182

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초록

영어

This paper suggests a cooperative spectrum sensing using dynamic double thresholds energy detection and adaptive grid search to obtain the highest probability detection. The proposed double thresholds are adaptive to noise fluctuation. A new fusion method combined of weighting and voting is used in cooperative sensing. Further, in order to obtain the best sensing performance, we firstly use adaptive grid search to find the optimal double thresholds. Simulation results show that the proposed method has excellent robustness to noise fluctuation and good sensing performance even under low signal to noise ratio (SNR).

Abstract
1. Introduction
2. System Model
  2.1. Calculate the Optimal Threshold
  2.2. Adaptive Double-Threshold Setting
3. Local Weight Assignment and Cooperative Spectrum Sensing Algorithm
4. Adaptive Grid Search Algorithm for Optimal Control Parameter
5. Simulation Results
  5.1. Investigating the Impacting of Parameteron Sensing Performance
  5.2. Function Testing of Grid Search
6. Conclusion
Acknowledgements
References

키워드

저자정보

Tangsen Huang Department of Computer and Communication Engineering, Hunan University of Science and Engineering, Yongzhou, China
Peng liu School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
Ji-chen Yang School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China

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