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A Cyclostationarity-Based Spectrum Sensing Scheme for Cognitive Radio Systems in High Traffic Circumstances
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 Title & Authors
A Cyclostationarity-Based Spectrum Sensing Scheme for Cognitive Radio Systems in High Traffic Circumstances
Kim, Youngje; Shim, Jeongyoon; Yoon, Seokho; Jang, Yong-Up; Jeong, Kilsoo;
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 Abstract
In cognitive radio (CR) systems, the secondary user (SU) performs the spectrum sensing to determine the presence of the primary user (PU) on the PU's frequency band. In practical cases, the PU would arrive and depart randomly in the sensing duration of the SU, which is referred to as the high traffic circumstance. In this paper, we propose a cyclostationarity-based spectrum sensing scheme for CR systems in high traffic circumstances. From numerical results, it is confirmed that the proposed scheme outperforms both the energy detector proposed for high traffic circumstances and the conventional cyclostationarity-based spectrum sensing scheme.
 Keywords
cyclostationarity;spectrum sensing;high traffic circumstance;
 Language
Korean
 Cited by
1.
통화량이 많은 상황에서의 알맞은 센싱 구간 분할 기반 스펙트럼 센싱 기법,채근홍;윤석호;

한국통신학회논문지, 2013. vol.38A. 10, pp.838-844 crossref(new window)
2.
선박 내 멀티 홉 무선 브릿지에서 QoS 보장을 위한 ECMA-392 협력 MAC 프로토콜,이승범;정환종;정민아;이연우;이성로;

한국통신학회논문지, 2014. vol.39C. 12, pp.1289-1297 crossref(new window)
3.
ECMA-392 기반 선박 내 네트워크에서 Fair QoS 제공을 위한 채널 자원 할당 방안,이승범;백종상;박순영;이성로;

한국통신학회논문지, 2014. vol.39C. 12, pp.1280-1288 crossref(new window)
4.
ECMA-392 기반 선박 내 네트워크에서 QoS를 지원하는 CRP 예약 충돌 해결 방안,이성로;오주성;김범무;이연우;정민아;이승범;

한국통신학회논문지, 2014. vol.39C. 12, pp.1298-1306 crossref(new window)
 References
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. crossref(new window)

2.
J. Mitola, "Cognitive radio: an integrated agent architecture for software defined radio," PhD thesis, KTH Royal Institute of Technology, Stockholm, Sweden, 2000.

3.
S. Enserinkand and D. Cochran, "A cyclostationary feature detector," in Proc. Asilomar Conf. Signals, Systems and Computers, pp. 806-810, Pacific Grove, CA, Nov. 1994.

4.
T. S. Shehata and M. El-Tanany, "A novel adaptive structure of the energy detector applied to cognitive radio networks," in Proc. Canadian Workshop on Information Theory, pp. 95-98, Ottawa, Canada, May 2009.

5.
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.

6.
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. crossref(new window)

7.
W. A. Gardner, "Exploitation of spectral redundancy in cyclostationary signals," IEEE Signal Process. Magazine, vol. 8, no. 2, pp. 14-36, April 1991.

8.
N. Han, J. Song, S. Sohn, and J. Kim, "A Spectral Correlation Based Detection Method for Spectrum Sensing in Cognitive Radio," J. Korea Inform. Commun. Society, vol. 31, no. 7C, pp. 672-679, July 2006.