Earticle

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).

목차

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

저자

• 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605