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Collaborative Wideband Spectrum Sensing with Distance Based Weight Combining for Cognitive Radio System

인지무선 시스템을 위한 거리기반 가중결합을 이용한 협력 광대역 스펙트럼 센싱

  • Received : 2011.12.07
  • Accepted : 2012.02.10
  • Published : 2012.02.29

Abstract

In this paper, we analysis wideband spectrum sensing with distance based weight combining for Cognitive Radio (CR) systems. CR systems is implemented the spectrum of the Primary User(PU) by using a energy detection method. Threshold is determined in accordance with the constant false alarm rate (CFAR) algorithm for energy detection. The signal of PU is BPSK signal and the wireless channel between a PU and CR systems is modeled as Gaussian channel. From the simulation results, the wideband sensing with distance based and Distance based weight Combing (DWC) methods shows higher spectrum sensing performance than single CR user spectrum sensing.

본 논문은 광대역 센싱을 수행하기 위한 방법으로 다중 협대역을 사용하여 한번에 센싱하는 방법을 제안한다. 센싱의 신뢰성을 높이기 위한 방안으로써 면허사용자와 CR사용자의 거리에 따른 가중치가 적용된 결합방식인(DWC : Distance based weight combining) 기법을 사용한 에너지 검출 기반 협력 스펙트럼 센싱을 제안하고 이에 따른 시스템 모델의 모의 실험 결과를 분석한다. 면허 사용자와 CR사용자 사이의 무선 채널은 가우시안 채널로 모델링하였다. 에너지 검출법을 위한 임계값은 각 채널의 SNR(Signal to Noise Ratio)에 따라 다르게 적용 되고, 각 채널의 잡음 신호의 평균값으로 가정한다.

Keywords

References

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