• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Scaled-Energy Based Spectrum Sensing for Multiple Antennas Cognitive Radio

Vol. 12, No.11, November 30, 2018
10.3837/tiis.2018.11.012, Download Paper (Free):

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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Cite this article

[IEEE Style]
Michael Dejene Azage and Chaewoo Lee, "Scaled-Energy Based Spectrum Sensing for Multiple Antennas Cognitive Radio," KSII Transactions on Internet and Information Systems, vol. 12, no. 11, pp. 5382-5403, 2018. DOI: 10.3837/tiis.2018.11.012

[ACM Style]
Azage, M. D. and Lee, C. 2018. Scaled-Energy Based Spectrum Sensing for Multiple Antennas Cognitive Radio. KSII Transactions on Internet and Information Systems, 12, 11, (2018), 5382-5403. DOI: 10.3837/tiis.2018.11.012