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Optimal Hard Decision for Cooperative Spectrum Sensing in Cognitive Radio Systems

무선 인지 시스템에서 협력 스펙트럼 센싱을 위한 최적화된 경판정 방식

  • Lee, So-Young (Spectrum & Standardization Research Team, Korea Radio Promotion Association) ;
  • Kim, Jin-Young (Department of Wireless Communications Engineering, Kwangwoon University)
  • 이소영 (한국전파진흥협회 기술지원팀) ;
  • 김진영 (광운대학교 전파공학과)
  • Accepted : 2011.03.31
  • Published : 2011.04.30

Abstract

In this paper, we use hard decision method for cooperative spectrum sensing. Sensing performance adopting hard decision is lower than soft decision but system load is low and the process is relatively simple when the combining scheme is hard decision compared to soft decision. In order to improve sensing performance, we propose optimal hard decision method applying weight that is based on a probability of individual sensing. Unlike conventional hard decision, we try to improve sensing performance applying weight and show the performance of the proposed method from the simulation results and performance analysis. The signal of licensed user is OFDM signal and the wireless channel between a licensed user and CR systems is modeled as Gaussian channel.

본 논문에서는 개별 센싱 결과를 결합하기 위해 센싱의 성능은 연판정 방식보다 낮지만, 시스템의 부담이 적고 비교적 단순한 방식인 경판정 방식을 적용하였으며, 센싱의 성능을 높이기 위해 각 CR 기기의 검출 확률을 반영하여 가중치를 설정하고, 계산된 가중치가 개별 센싱 결과에 재반영되어 결합하는 최적화된 경판정 방식을 제안한다. 기존의 경판정 방식과 달리 가중치를 적용하여 센싱 성능을 높이도록 하였고, 모의 실험 및 분석을 통하여 성능을 나타내었다. 1차 사용자의 신호는 OFDM 기반의 시스템을 가정하였고, 1차 사용자와 CR 기기 사이의 무선 채널은 가우시안(Gaussian) 채널로 모델링하였다.

Keywords

References

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Cited by

  1. Performance Evaluation of Cooperative Spectrum Sensing in Maritime Cognitive Radio Networks vol.39C, pp.11, 2014, https://doi.org/10.7840/kics.2014.39C.11.1192