TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Scaled-Energy Based Spectrum Sensing for Multiple Antennas Cognitive Radio |
| 영문제목(English Title) |
Scaled-Energy Based Spectrum Sensing for Multiple Antennas Cognitive Radio |
| 저자(Author) |
Michael Dejene Azage
Chaewoo Lee
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| 원문수록처(Citation) |
VOL 12 NO. 11 PP. 5382 ~ 5403 (2018. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper, for a spectrum sensing purpose, we heuristically established a test statistic (TS) from a sample covariance matrix (SCM) for multiple antennas based cognitive radio. The TS is formulated as a scaled-energy which is calculated as a sum of scaled diagonal entries of a SCM; each of the diagonal entries of a SCM scaled by corresponding row’s Euclidean norm. On the top of that, by combining theoretical results together with simulation observations, we have approximated a decision threshold of the TS which does not need prior knowledge of noise power and primary user signal. Furthermore, simulation results – which are obtained in a fading environment and in a spatially correlating channel model – show that the proposed method stands effect of noise power mismatch (non-uniform noise power) and has significant performance improvement compared with state-of-the-art test statistics.
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| 키워드(Keyword) |
Cognitive radio
noise power mismatch
sample covariance matrix
scaled energy
spectrum sensing
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| 파일첨부 |
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