한국위성정보통신학회논문지 (Journal of Satellite, Information and Communications)

한국위성정보통신학회 (Korea Society of Satellite Technology)
권호 표지

인지무선 네트워크에서 효율적인 채널 사용을 위한 협력센싱 클러스터링 게임

Cooperative Sensing Clustering Game for Efficient Channel Exploitation in Cognitive Radio Network

  • 장성진 (인하대학교 정보통신공학부 무선전송연구실) ;
  • 윤희석 (인하대학교 정보통신공학부 무선전송연구실) ;
  • 배인산 (인하대학교 정보통신공학부 무선전송연구실) ;
  • 김재명 (인하대학교 정보통신공학부)
  • 투고 : 2015.01.27
  • 심사 : 2015.02.24
  • 발행 : 2015.03.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

인지무선 네트워크에서 스펙트럼 센싱은 우선사용자에게 간섭을 주지 않기 위해 기본적으로 수행해야 하는 단계이다. 스펙트럼 센싱에 요구되는 샘플 수는 2차 사용자의 성능에 직접적으로 영향을 주기 때문에, 2차 사용자의 성능과 우선사용자에 대한 간섭은 트레이드오프 관계에 있다. 스펙트럼 센싱에 필요한 샘플 수는 요구되는 오검출 확률, 검출확률 및 우선 사용자의 최소 요구 SNR로 부터 얻어진다. 우선 사용자 센싱에 요구되는 SNR은 2차 사용자의 전송반경과 관련 있기 때문에, 2차사용자들을 모아 센싱집합으로 구성하고 요구되는 전송영역을 최소화시킴으로써 스펙트럼 센싱에 요구되는 우선사용자의 SNR을 완화시킬 수 있다. 따라서 스펙트럼 센싱에 필요한 최소 샘플 수를 줄임으로써 인지무선 네트워크의 전송량을 향상시킬 수 있다. 본 논문에서는 이를 위해 센싱집합인 클러스터링을 통해 게임이론으로 클러스터의 크기에 따라 얻는 이득과 손실을 트레이드오프로 디자인하고, 시뮬레이션을 통해 제안된 방법의 성능을 확인한다.

In cognitive radio network (CRN), spectrum sensing is an elementary level of technology for non-interfering to licensed user. Required sample number for spectrum sensing is directly related to the throughput of secondary user and makes the tradeoff between the throughput of secondary user and interference to primary user. Required spectrum sensing sample is derived from required false alarm, detection probability and minimum required SNR of primary user (PU). If we make clustering and minimize the required transmission boundary of secondary user (SU), we can relax the required PU SNR for spectrum sensing because the required SNR for PU signal sensing is related to transmission range of SU. Therefore we can achieve efficient throughput of CRN by minimizing spectrum sensing sample. For this, we design the tradeoff between gain and loss could be obtained from clustering, according to the size of cluster members through game theory and simulation results confirm the effectiveness of the proposed method.

키워드

참고문헌

  1. Mitola, J., Maguire, G.Q., Jr., "Cognitive radio: making software radios more personal," Personal Communications, IEEE , vol.6, no.4, pp.13-18, Aug 1999 https://doi.org/10.1109/98.788210
  2. "Spectrum policy task force," Federal Communications Commission, Tech. Rep., 2002.
  3. D. Niyato, E. Hossein, and Z. Han, Dynamic spectrum access and management in cognitive radio networks. Cambridge, UK: Cambridge University Press, 2009.
  4. A. Wyglinski, M. Nekovee, and T. Hou, Cognitive Radio Communications and Networks: Principles and Practice. New York: Academic, 2009
  5. Guowang Miao, Himayat, N., Li, G.Y., "Energy-efficient link adaptation in frequency-selective channels," Communications, IEEE Transactions on , vol.58, no.2, pp.545-554, February 2010 https://doi.org/10.1109/TCOMM.2010.02.080587
  6. Guowang Miao, Himayat, N., Li, G.Y., Talwar, S., "Distributed Interference-Aware Energy-Efficient Power Optimization," Wireless Communications, IEEE Transactions on , vol.10, no.4, pp.1323-1333, April 2011 https://doi.org/10.1109/TWC.2011.021611.101376
  7. Nadkar, T., Thumar, V., Tej, G. P S, Merchant, S.N., Desai, U.B., "Distributed Power Allocation for Secondary Users in a Cognitive Radio Scenario," Wireless Communications, IEEE Transactions on , vol.11, no.4, pp.1576-1586, April 2012 https://doi.org/10.1109/TWC.2012.020712.111502
  8. Jayaweera, S.K., Tianming Li, "Dynamic spectrum leasing in cognitive radio networks via primary-secondary user power control games," Wireless Communications, IEEE Transactions on , vol.8, no.6, pp.3300-3310, June 2009 https://doi.org/10.1109/TWC.2009.081230
  9. Saad, W., Zhu Han, Rong Zheng, Hjorungnes, A., Basar, T., Poor, H.V., "Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks," Selected Topics in Signal Processing, IEEE Journal of , vol.6, no.2, pp.195-209, April 2012 https://doi.org/10.1109/JSTSP.2011.2175699
  10. Saad, W., Zhu Han, Basar, T., Hjorungnes, A., Ju Bin Song, "Hedonic Coalition Formation Games for Secondary Base Station Cooperation in Cognitive Radio Networks," Wireless Communications and Networking Conference (WCNC), 2010 IEEE , vol., no., pp.1-6, 18 April 2010
  11. Saad, W., Zhu Han, Debbah, M., Hjorungnes, A., Basar, T., "Coalitional Games for Distributed Collaborative Spectrum Sensing in Cognitive Radio Networks," INFOCOM 2009, IEEE , vol., no., pp.2114-2122, 19 April 2009
  12. Saad, W., Zhu Han, Basar, T., Debbah, M., Hjorungnes, A., "Coalition Formation Games for Collaborative Spectrum Sensing," Vehicular Technology, IEEE Transactions on , vol.60, no.1, pp.276-297, Jan. 2011 https://doi.org/10.1109/TVT.2010.2089477
  13. Won-Yeol Lee, Akyildiz, I.F., "Optimal spectrum sensing framework for cognitive radio networks," Wireless Communications, IEEE Transactions on , vol.7, no.10, pp.3845,3857, October 2008 https://doi.org/10.1109/T-WC.2008.070391
  14. Ying-Chang Liang, Yonghong Zeng, Peh, E.C.Y., Anh Tuan Hoang, "Sensing-Throughput Tradeoff for Cognitive Radio Networks," Wireless Communications, IEEE Transactions on, vol.7, no.4, pp.1326-1337, April 2008 https://doi.org/10.1109/TWC.2008.060869
  15. Beibei Wang, Liu, K.J.R., Clancy, T.C., "Evolutionary cooperative spectrum sensing game: how to collaborate?," Communications, IEEE Transactions on , vol.58, no.3, pp.890-900, March 2010 https://doi.org/10.1109/TCOMM.2010.03.090084
  16. Y.-C. Liang, Y. Zeng, E. Peh, and A. T. Hoang, "Sensing-throughput tradeoff for cognitive radio networks," in Proc. IEEE ICC 2007, pp. 5330-5335, Glasgow, Scotland, June 2007
  17. H. V. Poor, An Introduction to Signal Detection and Estimation, 2nd ed. New York: Springer-Verlag, 1994
  18. Hoven, N., Sahai, A., "Power scaling for cognitive radio," Wireless Networks, Communications and Mobile Computing, 2005 International Conference on , vol.1, no., pp.250-255 vol.1, 13-16 June 2005
  19. Ghasemi, A., Sousa, E.S., "Collaborative spectrum sensing for opportunistic access in fading environments," New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005. 2005 First IEEE International Symposium on, vol., no., pp.131-136, 8-11 Nov. 2005
  20. Younis, O., Fahmy, Sonia, "HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks," Mobile Computing, IEEE Transactions on, vol.3, no.4, pp.366-379, Oct.-Dec. 2004 https://doi.org/10.1109/TMC.2004.41
  21. R. B. Myerson, Game Theory, Analysis of Conflict. Cambridge, MA, USA: Harvard University Press, 1991