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통화량이 많은 상황에서의 알맞은 센싱 구간 분할 기반 스펙트럼 센싱 기법

A Spectrum Sensing Scheme Based on Sensing Time Partitioning for High Traffic Environments

  • 채근홍 (성균관대학교 정보통신대학) ;
  • 윤석호 (성균관대학교 정보통신대학)
  • 투고 : 2013.08.19
  • 심사 : 2013.10.04
  • 발행 : 2013.10.31

초록

본 논문에서는 통화량이 많은 상황에서 인지 무선 시스템을 위한 센싱 구간 분할 기반 스펙트럼 센싱 기법을 제안한다. 구체적으로는 센싱 구간을 K개의 구간으로 분할하고, 각 분할된 구간에 스펙트럼 센싱을 수행한 결과들로부터 최종적으로 일차 사용자 신호의 유무를 판단하는 스펙트럼 센싱 기법을 제안한다. 모의실험을 통해 제안한 기법이 통화량이 많은 상황에서 기존 기법들에 비해 더욱 우수한 스펙트럼 센싱 성능을 가짐을 확인한다.

In this paper, we propose a novel spectrum sensing scheme based on sensing time partitioning for cognitive radio systems in high traffic environments. Specifically, we partition a sensing time into K sub-sections, and then, propose a spectrum sensing scheme that determines if a primary user signal is present based on the sensing results on the partitioned sub-sections. From numerical results, it is confirmed that the proposed scheme outperforms the conventional schemes in high traffic environments.

키워드

참고문헌

  1. J. Lunden, S. A. Kassam, and V. Koivunen, "Robust nonparametric cyclic correlation-based spectrum sensing for cognitive radio," IEEE Trans. Signal Process., vol. 58, no. 1, pp. 38-52, Jan. 2010. https://doi.org/10.1109/TSP.2009.2029790
  2. J. Mitola, "Cognitive radio: an integrated agent architecture for software defined radio," Ph.D. dissertation, Teleinformatics, Royal Inst. Technol. (KTH), Stockholm, Sweden, May 2000.
  3. T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Commun. Surveys, Tutorials, vol. 11, no. 1, pp. 116-130, First Quarter 2009. https://doi.org/10.1109/SURV.2009.090109
  4. J. Lunden, V. Koivunen, A. Huttunen, and H. V. Poor, "Collaborative cyclostationary spectrum sensing for cognitive radio systems," IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4182-4195, Nov. 2009. https://doi.org/10.1109/TSP.2009.2025152
  5. 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. https://doi.org/10.1109/TCOMM.2006.887483
  6. T. S. Shehata and M. El-Tanany, "A novel adaptive structure of the energy detector applied to cognitive radio networks," in Proc. Canadian Workshop Inform. Theory, pp. 95-98, Ottawa, Canada, May 2009.
  7. T. Wang, Y. Chen, E. L. Hines, and B. Zhao, "Analysis of effect of primary user traffic on spectrum sensing performance," in Proc. Chinacom, pp. 1-5, Xian, China, Aug. 2009.
  8. M. Luis, A. Furtado, R. Oliveira, R. Dinis, and L. Bernardo, "Towards a realistic primary users' behavior in single transceiver cognitive networks," IEEE Commun. Lett., vol. 17, no. 2, pp. 309-312, Feb. 2013. https://doi.org/10.1109/LCOMM.2012.121912.122175
  9. Y. Kim, J. Shim, S. Yoon, Y. Jang, and K. Jeong, "A cyclostationarity-based spectrum sensing scheme for cognitive radio systems in high traffic circumstances," J. Korean Inst. Commun. Sci. (KICS), vol. 37A, no. 11, pp. 937-942, Nov. 2012. https://doi.org/10.7840/kics.2012.37A.11.937
  10. N. C. Beaulieu and Y. Chen, "Improved energy detectors for cognitive radios with randomly arriving or departing primary users," IEEE Signal Process. Lett., vol. 17, no. 10, pp. 867-870, Oct. 2010. https://doi.org/10.1109/LSP.2010.2064768