A review of cyclostationary feature detection based spectrum sensing technique in cognitive radio networks; Effect of quality work life relationship on occupational stresses among Bu-alisina university staff in Hamadan province, IR Iran; Partial purification of α-amylase expressed by a tropical mutant strain of Aspergillus flavus IFE 03.

E3 Journal of Scientific Research

E3 Journal of Scientific Research Vol. 4 (3) pp. 041-047, September 2016; © E3 Journals; ISSN 2276-9919
DOI: http://dx.doi.org/10.18685/EJSR(4)3_EJSR-16-010

A review of cyclostationary feature detection based spectrum sensing technique in cognitive radio networks

Adigwe Wilfred1 * , Okonkwo O.R.2
1 Department of Computer Science, Delta State Polytechnic, Ozoro Delta State, Nigeria
2 Department of Computer Science, Nnamdi Azikiwe University, Awka Anambra State, Nigeria
*Corresponding Author E-mail: wilfred7k@yahoo.com
Accepted 10 February 2016

Abstract

In wireless communications, the transmitted signals show very strong cyclostationary features based on the modulation type, carrier frequency, and data rate, especially when excess bandwidth is utilized. Therefore, identifying the unique set of features of a particular radio signal for a given wireless access system can be used to detect the system based on the cyclostationary analysis at the cognitive radio node. Cyclostationary feature detection based technique has been proposed by many researchers as a key solution for detecting these signals. This paper therefore, took a detail review of the proposals from different authors and pointed out the challenges faced by this method and concluded that it cannot be used to achieve optimality when detecting the presence and absence of primary user. The paper also went further to analyze the principle and model for cyclostationary feature based detection method.

Keywords: Cognitive radio, Cyclostationary feature detection, Spectrum sensing, cyclic power spectrum (CPS).

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