The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Collaborative Spectrum Sensing with Correlated Local Decisions

상관된 국부 결정을 사용하는 협력 스펙트럼 감지

  • 임창헌 (부경대학교 전자공학과)
  • Received : 2009.11.12
  • Accepted : 2010.07.21
  • Published : 2010.08.31
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Abstract

Collaborative spectrum sensing has been found to be an effective means for detecting the activity of primary users in a fading environment. Most previous works on collaborative spectrum sensing are based on the assumption that the local spectrum sensing decisions of secondary users are statistically independent. However, it may not hold in some practical situations. In this paper, we consider a cognitive radio network where the local spectrum sensing decisions of secondary users are statistically correlated with the same level of correlation if they are next to each other in location and statistically independent, otherwise. Then, for the system, we analyzed the performance of the collaborative spectrum sensing with the AND and the OR fusion rules and found that the scheme with the AND fusion rule performs better than the one with OR fusion rule when the degree of correlation is significant.

협력 스펙트럼 감지 방식은 페이딩이 존재하는 환경에서 1차 사용자의 활동 유무를 알아내는 효과적인 방식으로 알려져 있다. 지금까지 협력 스펙트럼 감지에 관해 이루어진 대부분의 연구는 2차 사용자가 내린 국부 스펙트럼 감지 결정들이 통계적으로 서로 독립이라는 가정에 기초한 것이다. 그러나 실제 환경에서는 이러한 전제가 성립하지 않을 수 있다. 이 논문에서는 지역적으로 이웃한 2차 사용자의 국부 스펙트럼 감지 결정들 사이에 동일한 상관도가 존재하고, 이웃하지 않은 경우에는 통계적으로 독립인 인지 무선 네트워크를 대상으로 하여, AND 규칙과 OR 규칙을 사용하는 협력 스펙트럼 감지 방식의 성능을 분석하였다. 분석 결과, 상관 정도가 강할 때 AND 방식이 OR 방식에 비해 우수한 성능을 나타냄을 확인할 수 있었다.

Keywords

References

  1. J. Mitola and G. Q. Maguire, "Cognitive radio: making software radios more personal," IEEE Pers. Commun., vol. 6, no. 4, pp. 13-18, Aug. 1999. https://doi.org/10.1109/98.788210
  2. T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio appIications," IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, 2009.
  3. A. Ghaserni and E. S. Sousa, " Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs," IEEE Commun. Mag., vol. 46, no. 4, pp. 32-39, April 2008.
  4. S. Haykin, D. J. Thomson, and J. H. Reed, "Spectrum Sensing for Cognitive Radio," Proc. IEEE, vol. 97, no. 5, pp. 849-877, May 2009. https://doi.org/10.1109/JPROC.2009.2015711
  5. A. Ghasemi and E. S. Sousa, " Collaborative spectrum sensing for opportunistic access in fading environments," IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 131-136, Nov. 2005.
  6. S. M. Mishra, A. Sahai, and R. W. Brodersen, "Cooperative Sensing among Cognitive Radios," IEEE International Conference on Communications, pp. 1658-1663, June 2006.
  7. E. Peh and Ying-Chang Liang, "Optimization for Cooperative Sensing in Cognitive Radio Networks," IEEE Wireless Communications and Networking Conference, pp. 27-32, March 2007.
  8. W. Zhang, R. K. Mallik, and K. B. Letaief, "Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks," IEEE International Conference on Communications, 3411-3415, May 2008.
  9. Z. Quan, S. Cui, and A. H. Sayed, " Optimal Linear Cooperation for Spectrun1 Sensing in Cognitive Radio Networks," IEEE J. Sel. Topics Signal Process., Vol. 2, no. 1, pp. 28-40, Feb. 2008. https://doi.org/10.1109/JSTSP.2007.914882
  10. E. Visotsky, et. al., "On collaborative detection of TV transmissions in support of dynamic spectrum sharing," IEEE International Symposium on New Frontiers in Dynamic Spectrum Spectrum Access Networks, pp. 338-345, Nov. 2005.
  11. A. Ghasemi and E. S. Sousa, "Asymptotic performance of collaborative spectrum sensing under correlated log-normal shadowing," IEEE Commun. Lett., Vol. 11, no. 1, pp. 34-36, Jan. 2007.
  12. F. F. Digham, M. S. Alouini, and M. K. Simon, "On the energy detection of unknown signals over fading channels," IEEE Trans. Commun., vol. 55, no. 1, pp. 21-24, Jan. 2007.
  13. E. Darkopoulos and C. C. Lee, " Optimum Multisensor Fusion of Correlated Local Decisions," IEEE Trans. Aerosp. Electron. Syst., vol. 27, no. 4, pp. 593-606, July 1991. https://doi.org/10.1109/7.85032
  14. A. Popoulis, Probability, Random Variables, and Stochastic Processes, 2nd Ed. McGraw-Hill, 1984.