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Abstract

Cognitive radio (CR) systems are one of the most interesting topics in recent years. They would enable more efficient use of the spectrum. The main problem of CR is how to dectect exactly the spectrum usage of primary users. There are many ways to do this, such as energy detector (ED), Axell’s detector, the sliding window detector, etc. Among them, cyclostationarity (CS) based dection methods attracted much attention because of their better results in low-SNR regimes. This paper will propose a method based on the autocorrelation property of orthogonal frequency division multiplexing (OFDM) signals in additive white Gaussian noise (AWGN).



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Article Details

Issue: Vol 1 No T4 (2017)
Page No.: 180-186
Published: Dec 31, 2017
Section: Original Research
DOI: https://doi.org/10.32508/stdjns.v1iT4.495

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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, T., Nguyen, T., & Nguyen, P. (2017). Spectrum sensing in cognitive radio wireless networks for orthogonal freqnency division multiplexing in additive white Gaussian noise channel. Science and Technology Development Journal - Natural Sciences, 1(T4), 180-186. https://doi.org/https://doi.org/10.32508/stdjns.v1iT4.495

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