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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Cognitive radio, which is designed to dynamically adapt its transmission to the environments, is believed to be one of the fundamental techniques for future spectrum utilization. As the first step of cognitive radio, spectrum sensing is treated as the most important technique, through which cognition is well explained. In this paper, we propose a spectral correlation based detection method for spectrum sensing. An unlicensed secondary user system operating in TV broadcast bands is taken as an example. Based on the cyclostationarity of communication signals, spectral correlation function is used to minimize the effect of random noise and interference. Energy measurement and peak detection based criteria are proposed. Simulation results show that the proposed detection method outperforms the energy detection and is more suitable for spectrum sensing in cognitive radios.
목차
ABSTRACT
Ⅰ. Introduction
Ⅱ. Detection Model for Spectrum Sensing
Ⅲ. Conventional Method for Spectrum Sensing
Ⅳ. Proposed Method for Spectrum Sensing
Ⅴ. Simulation Results and Analysis
Ⅵ. Conclusions
References
Appendix A
저자소개
참고문헌 (11)
참고문헌 신청
R. W. Broderson, A. Wolisz, D. Cabric, S. M. Mishra, and D. Willkomm. (2004) White paper: CORVUS: A cognitive radio approach for usage of virtual unlicensed spectrum [online]. Available: http://bwrc.eecs.berkeley.edu/rsearch/MCMA_Docs/CR_White_paper_final
FCC, Spectrum Policy Task Force Report, ET Docket N0. 02-135, Nov 02,2002.
I. J. Mitola, “Software radios: Surey, critical evaluation and future directions”, IEEE Aerosp. Electron. Syst. Mag, vol. 8, pp. 25-36. Apr. 1993.
S. Haykin, “Cognitive radio: brain-empowered wireless communications”, IEEE Journal Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, 2005.
FCC, ''FCC 04-113,'' May 2004. [Online]. Available: http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-04-113A1.pdf
I. J. Mitola, “Software radios: Surey, critical evaluation and future directions”, IEEE Aerosp. Electron. Syst. Mag, vol. 8, pp. 25-36. Apr. 1993.
S. Haykin, “Cognitive radio: brain-empowered wireless communications”, IEEE Journal Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, 2005.
FCC, ''FCC 04-113,'' May 2004. [Online]. Available: http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-04-113A1.pdf
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