KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Scaled-Energy Based Spectrum Sensing for Multiple Antennas Cognitive Radio

  • Azage, Michael Dejene (Department of Electrical and Computer Engineering, Ajou University) ;
  • Lee, Chaewoo (Department of Electrical and Computer Engineering, Ajou University)
  • Received : 2017.08.27
  • Accepted : 2018.05.20
  • Published : 2018.11.30
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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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References

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