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Spectrum sensing in cognitive radio wireless networks for orthogonal freqnency division multiplexing in additive white Gaussian noise channel

Tri Minh Nguyen 1, *
Tu Thanh Nguyen 1
Phuong Huu Nguyen 1
  1. University of Science, VNU-HCM
Correspondence to: Tri Minh Nguyen, University of Science, VNU-HCM. Email: Nghiado@sci.edu.vn.
Volume & Issue: Vol. 1 No. T4 (2017) | Page No.: 180-186 | DOI: 10.32508/stdjns.v1iT4.495
Published: 2017-12-31

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This article is published with open access by Viet Nam National University Ho Chi Minh City, Viet Nam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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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