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

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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A Threshold Optimization Method for Decentralized Cooperative Spectrum Sensing in Cognitive Radio Networks

인지 무선 네트워크 내 분산 협력 대역 검출을 위한 문턱값 최적화 방법

  • Kim, Nak-Kyun (Incheon National University Department of Electronic Engineering) ;
  • Byun, Youn-Shik (Incheon National University Department of Electronic Engineering)
  • Received : 2014.07.15
  • Accepted : 2015.01.27
  • Published : 2015.02.28
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Abstract

Lately, spectrum sensing performance has been improved by using cooperate spectrum sensing which each results of sensing of several secondary users are reported to the fusion center. Using Cognitive Radio, secondary user is able to share a bandwidth allocated to primary user. In this paper, we propose a new decentralized cooperative spectrum sensing scheme which compensates the performance degradation of existing decentralized cooperative spectrum sensing considering the error probability of the channel which sensed result of the secondary user is delivered to the fusion center in decentralized cooperative spectrum sensing. In addition, a sensing threshold optimization of minimizing the error probability of decentralized cooperative spectrum sensing is introduced by deriving the equation and the optimal sensing threshold has been confirmed to maximize the decentralized cooperative spectrum sensing performance.

최근 다수의 후 순위 사용자(Secondary User)가 각각의 검출 결과를 융합 센터(Fusion Center)에 보고하여 대역 검출의 성능을 향상시키기 위한 협력 대역 검출 기법이 이루어지고 있다. 또한 선 순위 사용자(Primary User)에게 할당된 주파수 대역을 융합 센터가 공유하는 인지 무선(Cognitive Radio)기술이 개발되고 있다. 이 논문에서는 분산 협력 대역 검출 환경에서 후 순위 사용자의 검출 정보가 융합 센터로 보고되는 채널의 오류 확률을 고려한 기존 분산 협력 대역 검출 기법의 성능 저하를 보완하는 새로운 분산 협력 대역 검출 기법을 제안하였다. 또한 분산 협력 대역 검출 기법의 오류 확률을 최소화 하는 검출 문턱값의 최적화 방법을 수식의 유도를 통해 제안하였다. 최적의 검출 문턱값은 분산 협력 대역 검출의 성능을 최대화 하는 것을 확인하였다.

Keywords

References

  1. J. Mitola, "Cognitive radio for flexible mobile multimedia communications," in Proc. IEEE Workshop on Mob. Multimedia Commun., pp. 3-10, San Diego, CA, Nov. 1999.
  2. Y. Liang, Y. Zeng, E. C. Y. Peh, and A. T. Hoang, "Sensing-throughput tradeoff for cognitive radio networks," IEEE Trans. Wirel. Commun., vol. 7, no. 4, pp. 1326-1337, Apr. 2008. https://doi.org/10.1109/TWC.2008.060869
  3. E. Biglieri, A. J. Goldsmith, L. J. Greenstein, N. B. Mandayam, and H. V. Poor, Principles of Cognitive Radio, Cambridge University Press, 2013.
  4. A. M. Wyglinski, M. Nekovee, and Y. T. Hou, Cognitive Radio Communications and Networks : Principles and Practice, Academic Press, 2010.
  5. R. Choe and Y. Byun, "User selection scheme for the performance improvement of the secondary system in cognitive radio systems using underlay mode," J. KICS, vol. 38A, no. 03, pp. 249-257, Mar. 2013. https://doi.org/10.7840/kics.2013.38A.3.249
  6. H. Huang, Z. Zhang, P. Cheng, and P. Qui, "Opportunistic spectrum access in cognitive radio system employing cooperative spectrum sensing," in Proc. IEEE Veh. Technol. Conf., pp. 1-5, Barcelona, Spain, Apr. 2009.
  7. S. Atapattu, C. Tellambura, and H. Jiang, "Energy detection based cooperative spectrum sensing in cognitive radio networks," IEEE Trans. Wirel. Commun., vol. 10, no. 4, pp. 1232-1241, Apr. 2011. https://doi.org/10.1109/TWC.2011.012411.100611
  8. S. Maleki, S. P. Chepuri, and G. Leus, "Energy and throughput efficient strategies for cooperative spectrum sensing in cognitive radios," in Proc. IEEE Signal Processing Advances in Wirel. Commun., pp. 71-75, San Francisco, CA, Jun. 2011.
  9. G. Ganesan and Y. Li, "Cooperative spectrum sensing in cognitive radio, part II: Multiuser networks," IEEE Trans. Wirel. Commun., vol. 6, no. 6, pp. 2214-2222, Jun. 2007. https://doi.org/10.1109/TWC.2007.05776
  10. E. C. Y. Peh, Y. Liang, Y. L. Guan, and Y. Zeng, "Cooperative spectrum sensing in cognitive radio networks with weighted decision fusion scheme," IEEE Trans. Wirel. Commun., vol. 9, no. 12, pp. 3838-3847, Dec. 2010. https://doi.org/10.1109/TWC.2010.092810.100320
  11. K. Letaief and W. Zhang, "Cooperative communications for cognitive radio networks," in Proc. IEEE, vol. 97, no. 5, pp. 878-893, May 2009.
  12. N. Kim, "A cooperative spectrum sensing and dynamic spectrum decision methods for heterogeneous cognitive radio network," J. KICS, vol. 37A, no. 07, pp. 560-568, Jul. 2012.
  13. W. Zhang, R. K. Mallik, and K. B. Letaief, "Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks," IEEE Trans. Wirel. Commun., vol. 8, no. 12, pp. 5761-5766, Dec. 2011. https://doi.org/10.1109/TWC.2009.12.081710
  14. S. Atapattu, C. Tellambura, and H. Jiang, Energy Detection for Spectrum Sensing in Cognitive Radio, Springer, 2014.
  15. P. Elias, "Coding for two noisy channels," in Proc. 3rd London Symp. Inf. Theory, pp. 61-76, London, UK, 1955.
  16. R. Choe and Y. Byun, "Or-rule based cooperative spectrum sensing scheme considering reporting error in cognitive radio networks," J. KICS, vol. 39A, no. 01, pp. 19-27, Jan. 2014. https://doi.org/10.7840/kics.2014.39A.1.19
  17. N. Kim and Y. Byun, "The new decentralized cooperative spectrum sensing scheme in cognitive radio network systems," The 24th Joint Conf. Commun. Inf., vol. 1, pp. 27, Yeosu, Korea, Apr. 2014.
  18. N. Kim, J. Kim, and Y. Byun, "The new decentralized cooperative spectrum sensing scheme to mitigate limited performance in cognitive radio networks," KICS Joint Conf. Summer, vol. 1, no. 10D-3, pp. 44, Jeju Island, Korea, Jun. 2014.
  19. N. Kim and Y. Byun, "The deducing optimal sensing threshold for decentralized cooperative spectrum sensing scheme in cognitive radio network systems," 2013 Korea Signal Process. Conf., vol. 26, no. 1, pp. 97-101, Daejeon, Korea, Oct. 2013.

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