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

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

인지 무선 시스템에서 적응형 임계치를 적용한 개선된 에너지 검출기

Improved Energy Detector using Adaptive Thresholds in Cognitive Radio System

  • 발행 : 2008.10.30
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초록

본 논문에서는 기존의 에너지 검출기의 성능이 왜곡된 통신 환경에 취약하다는 점을 보완하기 위해 적응형 임계치를 적용한 에너지 검출기를 제안하고 필요한 매개 변수 값을 도출하여 성능을 비교 분석한다. 제안한 방식을 적용한 성능은 사용자의 이동 속도가 느린 채널 상창인 3 km/h와 오경보 확률이 $P_f=10^{-1}$ 인 경우 주로 성능의 이득을 보았다.

In this paper, we propose the improved energy detector using adaptive thresholds in cognitive radio system, in order to compensate the weak points of the existing energy detector in the distorted communication environment. In addition, by investigating the several parameters we analyze its performance. The numerical results show the proposed method may get the performance gain, when the mobile speed is slow (3 km/h) as well as the false alarm probability is low ($P_f=10^{-1}$).

키워드

참고문헌

  1. IEEE 802.22 TM/D0.1 Draft Standard for Wireless Regional Area Networks Part 22: Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer(PHY) specifications: Policies and procedures for operation in the TV Bands, 22-06-0068-00- 0000_P802-22_D0-1
  2. I.F. Akyildiz, W.Y. Lee, M.C. Vuran and S. Mohanty, "Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey," Computer Networks Journal (Elsevier), Vol.50, pp.2127-2159, September 2006. https://doi.org/10.1016/j.comnet.2006.05.001
  3. F.F. Digham., M.-S. Alouini., and M.K. Simon, "On the Energy detection of Unknown Signals over Fading Channels," in Proc. of ICC, pp.3575-3579, May 2003.
  4. A. Ghasemi and E.S. Sousa, "Collaborative spectrum sensing for opportunistic access in fading environments," in Proc. IEEE 1st Symposium on DySPAN'05, pp.131-136, Baltimore, November 2005.
  5. J.-H. Kim, S.-H. Hwang, K.-C. Whang and M.-S. Oh, "Energy Detection using Adaptive Thresholds in Cognitive Radio Systems," in the 22nd ITC-CSCC 2007, Vol.3, pp.1359-1360, July 2007.
  6. Berkeley Wireless Research Center, 'Cyclostationary Feature Detection,' in Proc. IEEE 1st Symposium on DySPAN'05, (www.eecs.berkeley.edu/~sahai/Presentations/D ySPAN05_part2.ppt)
  7. 정재학, 이원철, "Cognitive Radio 기술 동향", 전파지, 한국전파진흥원, 2005. 5⋅6, http://www.korpa.or.kr/radar/200505/sub1603.html
  8. 송명선, "Cognitive Radio 응용 기술 표준화 동 향 - IEEE 802.22 WRAN 표준화 동향-," ETRI, 2007.4.19
  9. M. Patzold, U. Killat, F. Laue, "A deterministic digital simulation model for Suzuki processes with application to a shadowed Rayleigh land mobile radio channel," IEEE Transactions Vehicular Technology, Vol.45, Issue 2, pp.318 - 331, May 1996. https://doi.org/10.1109/25.492906
  10. 이원철, "Efficient Spectrum Sensing and Resource Management for Cognitive Radio Systems," in RERC seminar, 전파교육연구센 터, Feb. 2006.
  11. D. Cabric, S.M. Mishra, R.W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios", Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference, Vol.1, pp.772-776, Nov. 2004.
  12. Fedral Communications Commission, "Report of the Spectrum Efficiency Working Group," Spectrum Policy Task Force, released Nov. 15 2002.
  13. F.K. Jondral, "Software-Defined Radio-Basic and Evolution to Cognitive Radio," EURASIP Journal on Wireless Communication and Networking, Vol.3, pp.275-283, 2005.
  14. 김창주(ETRI), "Cognitive Radio Technology 및 IEEE 802.22 WRAN 표준화동향," 전자 통신 동 향 분석, 제 21권 제 4호, 2006. 8.